diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index dd8ea895..12b40c86 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -168,6 +168,9 @@ jobs:
         env:
           VULKAN_VERSION: 1.4.313.2
         run: |
+          # $env:VULKAN_VERSION = & curl.exe -fsSL https://vulkan.lunarg.com/sdk/latest/linux.txt
+          # Write-Host "Downloading Vulkan SDK version $env:VULKAN_VERSION"
+          
           curl.exe -o $env:RUNNER_TEMP/VulkanSDK-Installer.exe -L "https://sdk.lunarg.com/sdk/download/${env:VULKAN_VERSION}/windows/vulkansdk-windows-X64-${env:VULKAN_VERSION}.exe"
           & "$env:RUNNER_TEMP\VulkanSDK-Installer.exe" --accept-licenses --default-answer --confirm-command install
           Add-Content $env:GITHUB_ENV "VULKAN_SDK=C:\VulkanSDK\${env:VULKAN_VERSION}"
@@ -175,11 +178,20 @@ jobs:
 
       - name: Install Vulkan SDK on Ubuntu
         if: matrix.config.name == 'Ubuntu (1)'
+        env:
+          VULKAN_VERSION: 1.4.341.1
         run: |
-          wget -qO- https://packages.lunarg.com/lunarg-signing-key-pub.asc | sudo tee /etc/apt/trusted.gpg.d/lunarg.asc
-          sudo wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list
-          sudo apt update
-          sudo apt install vulkan-sdk
+          # export VULKAN_VERSION="$(curl -fsSL https://vulkan.lunarg.com/sdk/latest/linux.txt)"
+          # echo "Downloading Vulkan SDK version ${VULKAN_VERSION}"
+          
+          sudo apt-get update
+          sudo apt-get install xz-utils
+          curl --no-progress-meter "https://sdk.lunarg.com/sdk/download/${VULKAN_VERSION}/linux/vulkan_sdk.tar.xz" -o "/opt/vulkan-sdk.tar.xz"
+          mkdir -p "/opt/vulkan-sdk"
+          tar -Jxf "/opt/vulkan-sdk.tar.xz" --strip-components=1 -C "/opt/vulkan-sdk"
+          rm -f "/opt/vulkan-sdk.tar.xz"
+          echo "VULKAN_SDK=/opt/vulkan-sdk/x86_64" >> $GITHUB_ENV
+          echo "/opt/vulkan-sdk/x86_64/bin" >> $GITHUB_PATH
 
       - name: Install dependencies on macOS
         if: matrix.config.name == 'macOS x64' || matrix.config.name == 'macOS arm64'
diff --git a/.github/workflows/prLint.yml b/.github/workflows/prLint.yml
index aedf09d6..a2101abf 100644
--- a/.github/workflows/prLint.yml
+++ b/.github/workflows/prLint.yml
@@ -6,11 +6,11 @@ on:
 
 jobs:
   lint:
-    name: Lint
-    runs-on: ubuntu-latest
+    name: Validate PR title
+    runs-on: ubuntu-slim
     permissions:
       pull-requests: read
     steps:
-      - uses: amannn/action-semantic-pull-request@v5
+      - uses: amannn/action-semantic-pull-request@v6
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
diff --git a/.vitepress/config.ts b/.vitepress/config.ts
index e6161519..139a8f38 100644
--- a/.vitepress/config.ts
+++ b/.vitepress/config.ts
@@ -387,6 +387,9 @@ export default defineConfig({
         },
         codeTransformers: [
             transformerTwoslash({
+                floatingVue: {
+                    classFloatingPanel: "twoslash-floating vp-code"
+                },
                 explicitTrigger: false,
                 filter(lang, code, options) {
                     return options.lang?.toLowerCase() === "typescript";
diff --git a/.vitepress/theme/style.css b/.vitepress/theme/style.css
index 4e962082..339f2fe4 100644
--- a/.vitepress/theme/style.css
+++ b/.vitepress/theme/style.css
@@ -256,13 +256,19 @@ img.blog-coverImage {
     transform: scaleX(1);
 }
 
-.v-popper--theme-dropdown .v-popper__inner {
+.v-popper--theme-dropdown .v-popper__wrapper {
     box-shadow: 0 6px 30px 0px rgb(0 0 0 / 32%);
     border-radius: 12px;
+    background-color: var(--twoslash-popup-bg);
+}
+.v-popper--theme-dropdown .v-popper__inner {
+    box-shadow: none;
+    border-radius: 12px;
 }
 
-.twoslash-floating {
+.twoslash-floating[class][class] {
     --twoslash-border-color: color-mix(in srgb, var(--vp-c-border), transparent 64%);
+    content-visibility: initial;
 }
 .twoslash-floating .v-popper__inner {
     border: none;
diff --git a/docs/guide/Vulkan.md b/docs/guide/Vulkan.md
index 9a0efdcb..a4942289 100644
--- a/docs/guide/Vulkan.md
+++ b/docs/guide/Vulkan.md
@@ -41,23 +41,25 @@ If you see `Vulkan used VRAM` in the output, it means that Vulkan support is wor
   #### Windows: [Vulkan SDK installer](https://sdk.lunarg.com/sdk/download/latest/windows/vulkan-sdk.exe) {#vulkan-sdk-windows}
   >
   #### Ubuntu {#vulkan-sdk-ubuntu}
-  ::: code-group
-  
-  ```shell [Ubuntu 24.04]
-  wget -qO- https://packages.lunarg.com/lunarg-signing-key-pub.asc | sudo tee /etc/apt/trusted.gpg.d/lunarg.asc
-  sudo wget -qO /etc/apt/sources.list.d/lunarg-vulkan-noble.list https://packages.lunarg.com/vulkan/lunarg-vulkan-noble.list
+  ```shell
   sudo apt update
-  sudo apt install vulkan-sdk
-  ```
+  sudo apt install curl wget xz-utils
   
-  ```shell [Ubuntu 22.04]
-  wget -qO- https://packages.lunarg.com/lunarg-signing-key-pub.asc | sudo tee /etc/apt/trusted.gpg.d/lunarg.asc
-  sudo wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list
-  sudo apt update
-  sudo apt install vulkan-sdk
-  ```
+  export VULKAN_VERSION="$(curl -fsSL https://vulkan.lunarg.com/sdk/latest/linux.txt)"                                                                                      
   
-  :::
+  echo "Downloading Vulkan SDK version ${VULKAN_VERSION}"
+  curl --progress-bar "https://sdk.lunarg.com/sdk/download/${VULKAN_VERSION}/linux/vulkan_sdk.tar.xz" -o "/opt/vulkan-sdk.tar.xz"
+  
+  echo "Installing Vulkan SDK to /opt/vulkan-sdk"
+  rm -rf "/opt/vulkan-sdk" && mkdir -p "/opt/vulkan-sdk"
+  tar -Jxf "/opt/vulkan-sdk.tar.xz" --strip-components=1 -C "/opt/vulkan-sdk"
+  rm -f "/opt/vulkan-sdk.tar.xz"
+  
+  echo "Adding Vulkan SDK environment variables to shell profiles"
+  ([ ! -f "$HOME/.bashrc" ] || grep -qxF "source /opt/vulkan-sdk/setup-env.sh" "$HOME/.bashrc") || (echo "source /opt/vulkan-sdk/setup-env.sh" >> "$HOME/.bashrc")
+  ([ ! -f "$HOME/.zshrc" ] || grep -qxF "source /opt/vulkan-sdk/setup-env.sh" "$HOME/.zshrc") || (echo "source /opt/vulkan-sdk/setup-env.sh" >> "$HOME/.zshrc")
+  source /opt/vulkan-sdk/setup-env.sh
+  ```
 
 * :::details Windows only: enable long paths support
   Open cmd as Administrator and run this command:
diff --git a/eslint.config.js b/eslint.config.js
index 4eadb835..179e0bef 100644
--- a/eslint.config.js
+++ b/eslint.config.js
@@ -8,12 +8,13 @@ import n from "eslint-plugin-n";
 import tseslint from "typescript-eslint";
 import stylistic from "@stylistic/eslint-plugin";
 import {includeIgnoreFile} from "@eslint/compat";
+import {defineConfig} from "eslint/config";
 
 const __dirname = path.dirname(fileURLToPath(import.meta.url));
 const gitignorePath = path.join(__dirname, ".gitignore");
 
 
-export default tseslint.config({
+export default defineConfig({
     ignores: [
         "dist/",
         "**/dist/",
@@ -25,12 +26,12 @@ export default tseslint.config({
         "packages/create-node-llama-cpp/dist/",
         "packages/@node-llama-cpp/*/dist/",
         ".releaserc.ts",
-        ...includeIgnoreFile(gitignorePath).ignores
+        ...(includeIgnoreFile(gitignorePath).ignores ?? [])
     ]
 }, {
     files: ["**/**.{,c,m}{js,ts}"],
     extends: [
-        stylistic.configs["recommended-flat"],
+        stylistic.configs["recommended"],
         jsdoc.configs["flat/recommended"],
         importPlugin.flatConfigs.recommended
     ],
@@ -61,7 +62,7 @@ export default tseslint.config({
         }
     },
     rules: {
-        "@stylistic/indent": ["off"],
+        "@stylistic/indent": ["warn", 4],
         "indent": ["warn", 4, {
             SwitchCase: 1,
             FunctionDeclaration: {
@@ -80,7 +81,8 @@ export default tseslint.config({
             args: "none",
             ignoreRestSiblings: true,
             varsIgnorePattern: "^set",
-            caughtErrors: "none"
+            caughtErrors: "none",
+            ignoreUsingDeclarations: true
         }],
         "@stylistic/no-prototype-builtins": ["off"],
         "@stylistic/object-curly-spacing": ["warn", "never"],
@@ -174,7 +176,8 @@ export default tseslint.config({
             args: "none",
             ignoreRestSiblings: true,
             varsIgnorePattern: "^set",
-            caughtErrors: "none"
+            caughtErrors: "none",
+            ignoreUsingDeclarations: true
         }],
         "@typescript-eslint/no-empty-object-type": ["off"],
         "@typescript-eslint/member-ordering": ["warn", {
diff --git a/llama/addon/AddonContext.cpp b/llama/addon/AddonContext.cpp
index 36828590..87b18970 100644
--- a/llama/addon/AddonContext.cpp
+++ b/llama/addon/AddonContext.cpp
@@ -942,11 +942,25 @@ Napi::Value AddonContext::EnsureDraftContextIsCompatibleForSpeculative(const Nap
     return info.Env().Undefined();
 }
 
-Napi::Value AddonContext::SetLora(const Napi::CallbackInfo& info) {
-    AddonModelLora* lora = Napi::ObjectWrap<AddonModelLora>::Unwrap(info[0].As<Napi::Object>());
-    float scale = info[1].As<Napi::Number>().FloatValue();
+Napi::Value AddonContext::SetLoras(const Napi::CallbackInfo& info) {
+    Napi::Array loraArray = info[0].As<Napi::Array>();
+    Napi::Array scaleArray = info[1].As<Napi::Array>();
 
-    llama_set_adapter_lora(ctx, lora->lora_adapter, scale);
+    std::vector<llama_adapter_lora *> loras;
+    std::vector<float> scales;
+
+    loras.reserve(loraArray.Length());
+    scales.reserve(scaleArray.Length());
+
+    for (size_t i = 0; i < loraArray.Length() && i < scaleArray.Length(); i++) {
+        AddonModelLora* lora = Napi::ObjectWrap<AddonModelLora>::Unwrap(loraArray.Get(i).As<Napi::Object>());
+        float scale = scaleArray.Get(i).As<Napi::Number>().FloatValue();
+
+        loras.push_back(lora->lora_adapter);
+        scales.push_back(scale);
+    }
+
+    llama_set_adapters_lora(ctx, loras.data(), loras.size(), scales.data());
 
     return info.Env().Undefined();
 }
@@ -977,7 +991,7 @@ void AddonContext::init(Napi::Object exports) {
                 InstanceMethod("ensureDraftContextIsCompatibleForSpeculative", &AddonContext::EnsureDraftContextIsCompatibleForSpeculative),
                 InstanceMethod("saveSequenceStateToFile", &AddonContext::SaveSequenceStateToFile),
                 InstanceMethod("loadSequenceStateFromFile", &AddonContext::LoadSequenceStateFromFile),
-                InstanceMethod("setLora", &AddonContext::SetLora),
+                InstanceMethod("setLoras", &AddonContext::SetLoras),
                 InstanceMethod("dispose", &AddonContext::Dispose),
             }
         )
diff --git a/llama/addon/AddonContext.h b/llama/addon/AddonContext.h
index 7e661f12..3e09f96d 100644
--- a/llama/addon/AddonContext.h
+++ b/llama/addon/AddonContext.h
@@ -52,7 +52,7 @@ class AddonContext : public Napi::ObjectWrap<AddonContext> {
         Napi::Value PrintTimings(const Napi::CallbackInfo& info);
         Napi::Value EnsureDraftContextIsCompatibleForSpeculative(const Napi::CallbackInfo& info);
 
-        Napi::Value SetLora(const Napi::CallbackInfo& info);
+        Napi::Value SetLoras(const Napi::CallbackInfo& info);
 
         static void init(Napi::Object exports);
 };
diff --git a/llama/addon/AddonSampler.cpp b/llama/addon/AddonSampler.cpp
index fc58de6f..cd65d066 100644
--- a/llama/addon/AddonSampler.cpp
+++ b/llama/addon/AddonSampler.cpp
@@ -28,6 +28,11 @@ void AddonSampler::dispose() {
     model->Unref();
     freeChain();
 
+    if (xtcSampler != nullptr) {
+        llama_sampler_free(xtcSampler);
+        xtcSampler = nullptr;
+    }
+
     if (temperatureSampler != nullptr) {
         llama_sampler_free(temperatureSampler);
         temperatureSampler = nullptr;
@@ -63,6 +68,11 @@ void AddonSampler::dispose() {
         repeatPenaltySampler = nullptr;
     }
 
+    if (dryRepeatPenaltySampler != nullptr) {
+        llama_sampler_free(dryRepeatPenaltySampler);
+        dryRepeatPenaltySampler = nullptr;
+    }
+
     if (tokenBiasSampler != nullptr) {
         llama_sampler_free(tokenBiasSampler);
         tokenBiasSampler = nullptr;
@@ -108,11 +118,19 @@ void AddonSampler::rebuildChainIfNeeded() {
         llama_sampler_chain_add(chain, repeatPenaltySampler);
     }
 
+    if (dryRepeatPenaltySampler != nullptr) {
+        llama_sampler_chain_add(chain, dryRepeatPenaltySampler);
+    }
+
     if (grammarEvaluationState != nullptr) {
         llama_sampler_chain_add(chain, grammarEvaluationState->sampler);
     }
 
     if (greedySampler != nullptr) {
+        if (xtcSampler != nullptr) {
+            llama_sampler_chain_add(chain, xtcSampler);
+        }
+
         llama_sampler_chain_add(chain, greedySampler);
     } else {
         if (topKSampler != nullptr) {
@@ -127,6 +145,10 @@ void AddonSampler::rebuildChainIfNeeded() {
             llama_sampler_chain_add(chain, minPSampler);
         }
 
+        if (xtcSampler != nullptr) {
+            llama_sampler_chain_add(chain, xtcSampler);
+        }
+
         if (temperatureSampler != nullptr) {
             llama_sampler_chain_add(chain, temperatureSampler);
         }
@@ -143,6 +165,10 @@ void AddonSampler::acceptToken(llama_token token) {
         repeatPenalty_lastTokens.push_back(token);
     }
 
+    if (dryRepeatPenaltySampler != nullptr) {
+        llama_sampler_accept(dryRepeatPenaltySampler, token);
+    }
+
     if (grammarEvaluationState != nullptr && grammarEvaluationState->sampler != nullptr && !llama_vocab_is_eog(model->vocab, token)) {
         llama_sampler_accept(grammarEvaluationState->sampler, token);
     }
@@ -282,6 +308,33 @@ Napi::Value AddonSampler::ApplyConfig(const Napi::CallbackInfo& info) {
         seedSampler = llama_sampler_init_dist(time(NULL));
     }
 
+    if (config.Has("xtcProbability") && config.Has("xtcThreshold")) {
+        auto xtcProbability = config.Get("xtcProbability").As<Napi::Number>().FloatValue();
+        auto xtcThreshold = config.Get("xtcThreshold").As<Napi::Number>().FloatValue();
+
+        if (xtcProbability != xtcSampler_probability || xtcThreshold != xtcSampler_threshold || xtcSampler == nullptr) {
+            xtcSampler_probability = xtcProbability;
+            xtcSampler_threshold = xtcThreshold;
+            freeChain();
+
+            if (xtcSampler != nullptr) {
+                llama_sampler_free(xtcSampler);
+                xtcSampler = nullptr;
+            }
+
+            xtcSampler = llama_sampler_init_xtc(
+                xtcSampler_probability,
+                xtcSampler_threshold,
+                0,
+                seedSampler == nullptr ? LLAMA_DEFAULT_SEED : seedSampler_seed
+            );
+        }
+    } else if (xtcSampler != nullptr) {
+        freeChain();
+        llama_sampler_free(xtcSampler);
+        xtcSampler = nullptr;
+    }
+
     if (config.Has("repeatPenaltyTokens")) {
         Napi::Uint32Array repeat_penalty_tokens_uint32_array = config.Get("repeatPenaltyTokens").As<Napi::Uint32Array>();
         auto repeatPenalty = config.Has("repeatPenalty")
@@ -374,6 +427,111 @@ Napi::Value AddonSampler::ApplyConfig(const Napi::CallbackInfo& info) {
         repeatPenaltySampler = nullptr;
     }
 
+    if (config.Has("dryRepeatPenaltyStrength")) {
+        float strength = config.Get("dryRepeatPenaltyStrength").As<Napi::Number>().FloatValue();
+        float base = config.Has("dryRepeatPenaltyBase")
+            ? config.Get("dryRepeatPenaltyBase").As<Napi::Number>().FloatValue()
+            : 0;
+        int32_t allowedLength = config.Has("dryRepeatPenaltyAllowedLength")
+            ? config.Get("dryRepeatPenaltyAllowedLength").As<Napi::Number>().Int32Value()
+            : 2;
+        int32_t lastTokens = config.Has("dryRepeatPenaltyLastTokens")
+            ? config.Get("dryRepeatPenaltyLastTokens").As<Napi::Number>().Int32Value()
+            : -1;
+
+        bool sequenceBreaksIsTheSame = (
+            config.Has("dryRepeatPenaltySequenceBreakers") &&
+            config.Get("dryRepeatPenaltySequenceBreakers").IsBoolean() &&
+            config.Get("dryRepeatPenaltySequenceBreakers").As<Napi::Boolean>().Value() == false
+        ) ? true : false;
+
+        std::vector<std::string> sequenceBreakers;
+        if (config.Has("dryRepeatPenaltySequenceBreakers") && config.Get("dryRepeatPenaltySequenceBreakers").IsArray()) {
+            Napi::Array sequenceBreakersArray = config.Get("dryRepeatPenaltySequenceBreakers").As<Napi::Array>();
+            sequenceBreaksIsTheSame = dryRepeatPenalty_sequenceBreakers.size() == sequenceBreakersArray.Length();
+
+            sequenceBreakers.reserve(sequenceBreakersArray.Length());
+            for (size_t i = 0; i < sequenceBreakersArray.Length(); i++) {
+                std::string breaker = sequenceBreakersArray.Get(i).As<Napi::String>().Utf8Value();
+                
+                if (sequenceBreaksIsTheSame && dryRepeatPenalty_sequenceBreakers[i] != breaker) {
+                    sequenceBreaksIsTheSame = false;
+                }
+
+                sequenceBreakers.push_back(std::move(breaker));
+            }
+        }
+
+        auto enabled = base != 0 && lastTokens != 0;
+        bool shouldCreateSampler = false;
+
+        if (!enabled) {
+            if (dryRepeatPenaltySampler != nullptr) {
+                freeChain();
+                llama_sampler_free(dryRepeatPenaltySampler);
+                dryRepeatPenaltySampler = nullptr;
+            }
+        } else if (dryRepeatPenaltySampler == nullptr) {
+            freeChain();
+            shouldCreateSampler = true;
+        } else {
+            bool existingSamplerMatchesConfig = true;
+            existingSamplerMatchesConfig &= dryRepeatPenalty_strength == strength;
+            existingSamplerMatchesConfig &= dryRepeatPenalty_base == base;
+            existingSamplerMatchesConfig &= dryRepeatPenalty_allowedLength == allowedLength;
+            existingSamplerMatchesConfig &= dryRepeatPenalty_lastTokens == lastTokens;
+            existingSamplerMatchesConfig &= sequenceBreaksIsTheSame;
+
+            if (!existingSamplerMatchesConfig) {
+                freeChain();
+                llama_sampler_free(dryRepeatPenaltySampler);
+                dryRepeatPenaltySampler = nullptr;
+
+                shouldCreateSampler = true;
+            }
+        }
+
+        if (shouldCreateSampler) {
+            std::vector<const char *> cSequenceBreakers;
+
+            if (sequenceBreaksIsTheSame) {
+                cSequenceBreakers.reserve(dryRepeatPenalty_sequenceBreakers.size());
+                for (const auto & str : dryRepeatPenalty_sequenceBreakers) {
+                    cSequenceBreakers.push_back(str.c_str());
+                }
+            } else {
+                cSequenceBreakers.reserve(sequenceBreakers.size());
+                for (const auto & str : sequenceBreakers) {
+                    cSequenceBreakers.push_back(str.c_str());
+                }
+            }
+
+            dryRepeatPenaltySampler = llama_sampler_init_dry(
+                model->vocab,
+                llama_model_n_ctx_train(model->model),
+                strength,
+                base,
+                allowedLength,
+                lastTokens,
+                cSequenceBreakers.data(),
+                cSequenceBreakers.size()
+            );
+
+            dryRepeatPenalty_strength = strength;
+            dryRepeatPenalty_base = base;
+            dryRepeatPenalty_allowedLength = allowedLength;
+            dryRepeatPenalty_lastTokens = lastTokens;
+
+            if (!sequenceBreaksIsTheSame) {
+                dryRepeatPenalty_sequenceBreakers.swap(sequenceBreakers);
+            }
+        }
+    } else if (dryRepeatPenaltySampler != nullptr) {
+        freeChain();
+        llama_sampler_free(dryRepeatPenaltySampler);
+        dryRepeatPenaltySampler = nullptr;
+    }
+
     if (config.Has("tokenBiasKeys") && config.Has("tokenBiasValues")) {
         Napi::Uint32Array tokenBiasKeys = config.Get("tokenBiasKeys").As<Napi::Uint32Array>();
         Napi::Float32Array tokenBiasValues = config.Get("tokenBiasValues").As<Napi::Float32Array>();
diff --git a/llama/addon/AddonSampler.h b/llama/addon/AddonSampler.h
index 33114b49..3218b11d 100644
--- a/llama/addon/AddonSampler.h
+++ b/llama/addon/AddonSampler.h
@@ -25,7 +25,11 @@ class AddonSampler : public Napi::ObjectWrap<AddonSampler> {
 
         llama_sampler * topPSampler = nullptr;
         float topPSampler_topP = 0.0f; // Top p sampling >=1.0 = disabled
-        
+
+        llama_sampler * xtcSampler = nullptr;
+        float xtcSampler_probability = 0;
+        float xtcSampler_threshold = 0;
+
         llama_sampler * seedSampler = nullptr;
         uint32_t seedSampler_seed = 0;
 
@@ -36,6 +40,14 @@ class AddonSampler : public Napi::ObjectWrap<AddonSampler> {
         float repeatPenalty_presencePenalty = 0.00f;  // 0.0 = disabled
         float repeatPenalty_frequencyPenalty = 0.00f;  // 0.0 = disabled
 
+        llama_sampler * dryRepeatPenaltySampler = nullptr;
+        float dryRepeatPenalty_strength = 0.00f; // 0.00f = disabled
+        float dryRepeatPenalty_base = 0.00f;
+        int32_t dryRepeatPenalty_allowedLength = 1;
+        int32_t dryRepeatPenalty_lastTokens = 1;
+        bool dryRepeatPenalty_lastTokensAll = true;
+        std::vector<std::string> dryRepeatPenalty_sequenceBreakers;
+
         llama_sampler * tokenBiasSampler = nullptr;
         std::vector<llama_logit_bias> tokenBiasSampler_biases;
 
diff --git a/llama/addon/globals/getGpuInfo.cpp b/llama/addon/globals/getGpuInfo.cpp
index 0e6550d9..34c0a94a 100644
--- a/llama/addon/globals/getGpuInfo.cpp
+++ b/llama/addon/globals/getGpuInfo.cpp
@@ -99,7 +99,7 @@ std::pair<ggml_backend_dev_t, std::string> getGpuDevice() {
         ggml_backend_dev_t device = ggml_backend_dev_get(i);
         const auto deviceName = std::string(ggml_backend_dev_name(device));
 
-        if (deviceName == "Metal") {
+        if (std::string(deviceName).find("MTL") == 0 || deviceName == "Metal") {
             return std::pair<ggml_backend_dev_t, std::string>(device, "metal");
         } else if (std::string(deviceName).find("Vulkan") == 0) {
             return std::pair<ggml_backend_dev_t, std::string>(device, "vulkan");
diff --git a/llama/gpuInfo/vulkan-gpu-info.cpp b/llama/gpuInfo/vulkan-gpu-info.cpp
index 1cb00d78..3c30b040 100644
--- a/llama/gpuInfo/vulkan-gpu-info.cpp
+++ b/llama/gpuInfo/vulkan-gpu-info.cpp
@@ -1,4 +1,5 @@
 #include <stddef.h>
+#include <cstdint>
 #include <map>
 #include <vector>
 
@@ -8,6 +9,7 @@ constexpr std::uint32_t VK_VENDOR_ID_AMD = 0x1002;
 constexpr std::uint32_t VK_VENDOR_ID_APPLE = 0x106b;
 constexpr std::uint32_t VK_VENDOR_ID_INTEL = 0x8086;
 constexpr std::uint32_t VK_VENDOR_ID_NVIDIA = 0x10de;
+constexpr std::uint32_t VK_VENDOR_ID_QUALCOMM = 0x5143;
 
 typedef void (*gpuInfoVulkanWarningLogCallback_t)(const char* message);
 
@@ -35,7 +37,7 @@ static std::vector<vk::PhysicalDevice> dedupedDevices() {
         auto oldDevice = std::find_if(
             dedupedDevices.begin(),
             dedupedDevices.end(),
-            [&newId](const vk::PhysicalDevice& oldDevice) {
+            [&newId, &newDriver](const vk::PhysicalDevice& oldDevice) {
                 vk::PhysicalDeviceProperties2 oldProps;
                 vk::PhysicalDeviceDriverProperties oldDriver;
                 vk::PhysicalDeviceIDProperties oldId;
@@ -43,13 +45,14 @@ static std::vector<vk::PhysicalDevice> dedupedDevices() {
                 oldDriver.pNext = &oldId;
                 oldDevice.getProperties2(&oldProps);
 
-                bool equals = std::equal(std::begin(oldId.deviceUUID), std::end(oldId.deviceUUID), std::begin(newId.deviceUUID));
-                equals = equals || (
+                bool sameUuid = std::equal(std::begin(oldId.deviceUUID), std::end(oldId.deviceUUID), std::begin(newId.deviceUUID));
+                sameUuid = sameUuid || (
                     oldId.deviceLUIDValid && newId.deviceLUIDValid &&
                     std::equal(std::begin(oldId.deviceLUID), std::end(oldId.deviceLUID), std::begin(newId.deviceLUID))
                 );
+                bool bothMoltenVk = (newDriver.driverID == vk::DriverId::eMoltenvk && oldDriver.driverID == vk::DriverId::eMoltenvk);
 
-                return equals;
+                return sameUuid && !bothMoltenVk;
             }
         );
 
@@ -83,8 +86,12 @@ static std::vector<vk::PhysicalDevice> dedupedDevices() {
                 driverPriorities[vk::DriverId::eMesaNvk] = 2;
 #endif
                 break;
+            case VK_VENDOR_ID_QUALCOMM:
+                driverPriorities[vk::DriverId::eQualcommProprietary] = 1;
+                driverPriorities[vk::DriverId::eMesaTurnip] = 2;
+                break;
         }
-        driverPriorities[vk::DriverId::eMesaDozen] = 4;
+        driverPriorities[vk::DriverId::eMesaDozen] = 100;
 
         if (driverPriorities.count(oldDriver.driverID)) {
             oldPriority = driverPriorities[oldDriver.driverID];
diff --git a/package-lock.json b/package-lock.json
index 0eafc9b0..5f52c37c 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -10,12 +10,12 @@
       "hasInstallScript": true,
       "license": "MIT",
       "dependencies": {
-        "@huggingface/jinja": "^0.5.3",
+        "@huggingface/jinja": "^0.5.5",
         "async-retry": "^1.3.3",
         "bytes": "^3.1.2",
-        "chalk": "^5.4.1",
+        "chalk": "^5.6.2",
         "chmodrp": "^1.0.2",
-        "cmake-js": "^7.4.0",
+        "cmake-js": "^8.0.0",
         "cross-spawn": "^7.0.6",
         "env-var": "^7.5.0",
         "filenamify": "^6.0.0",
@@ -23,21 +23,21 @@
         "ignore": "^7.0.4",
         "ipull": "^3.9.2",
         "is-unicode-supported": "^2.1.0",
-        "lifecycle-utils": "^3.0.1",
-        "log-symbols": "^7.0.0",
-        "nanoid": "^5.1.5",
-        "node-addon-api": "^8.3.1",
-        "octokit": "^5.0.3",
-        "ora": "^8.2.0",
-        "pretty-ms": "^9.2.0",
+        "lifecycle-utils": "^3.1.1",
+        "log-symbols": "^7.0.1",
+        "nanoid": "^5.1.6",
+        "node-addon-api": "^8.5.0",
+        "octokit": "^5.0.5",
+        "ora": "^9.3.0",
+        "pretty-ms": "^9.3.0",
         "proper-lockfile": "^4.1.2",
         "semver": "^7.7.1",
-        "simple-git": "^3.27.0",
-        "slice-ansi": "^7.1.0",
+        "simple-git": "^3.31.1",
+        "slice-ansi": "^8.0.0",
         "stdout-update": "^4.0.1",
-        "strip-ansi": "^7.1.0",
-        "validate-npm-package-name": "^6.0.0",
-        "which": "^5.0.0",
+        "strip-ansi": "^7.1.2",
+        "validate-npm-package-name": "^7.0.2",
+        "which": "^6.0.1",
         "yargs": "^17.7.2"
       },
       "bin": {
@@ -45,54 +45,54 @@
         "node-llama-cpp": "dist/cli/cli.js"
       },
       "devDependencies": {
-        "@commitlint/cli": "^19.8.1",
-        "@commitlint/config-conventional": "^19.8.1",
-        "@eslint/compat": "^1.2.9",
-        "@fontsource/inter": "^5.2.5",
-        "@nolebase/vitepress-plugin-git-changelog": "^2.17.0",
-        "@nolebase/vitepress-plugin-og-image": "^2.17.0",
+        "@commitlint/cli": "^20.4.1",
+        "@commitlint/config-conventional": "^20.4.1",
+        "@eslint/compat": "^2.0.2",
+        "@fontsource/inter": "^5.2.8",
+        "@nolebase/vitepress-plugin-git-changelog": "^2.18.2",
+        "@nolebase/vitepress-plugin-og-image": "^2.18.2",
         "@resvg/resvg-js": "^2.6.2",
         "@semantic-release/exec": "^7.1.0",
-        "@semantic-release/github": "^12.0.2",
-        "@semantic-release/npm": "^13.1.2",
-        "@shikijs/vitepress-twoslash": "^3.4.0",
-        "@stylistic/eslint-plugin": "^4.2.0",
+        "@semantic-release/github": "^12.0.6",
+        "@semantic-release/npm": "^13.1.4",
+        "@shikijs/vitepress-twoslash": "^3.22.0",
+        "@stylistic/eslint-plugin": "^5.8.0",
         "@types/async-retry": "^1.4.9",
         "@types/bytes": "^3.1.5",
         "@types/cross-spawn": "^6.0.6",
         "@types/fs-extra": "^11.0.4",
-        "@types/node": "^20.17.50",
+        "@types/node": "^20.19.33",
         "@types/proper-lockfile": "^4.1.4",
-        "@types/semver": "^7.7.0",
+        "@types/semver": "^7.7.1",
         "@types/validate-npm-package-name": "^4.0.2",
         "@types/which": "^3.0.4",
         "@types/yargs": "^17.0.33",
-        "@vitest/coverage-v8": "^3.2.4",
-        "@vitest/ui": "^3.2.4",
-        "electron": "^37.2.4",
-        "eslint": "^9.26.0",
+        "@vitest/coverage-v8": "^4.0.18",
+        "@vitest/ui": "^4.0.18",
+        "electron": "^40.4.1",
+        "eslint": "^9.39.2",
         "eslint-import-resolver-typescript": "^4.4.4",
-        "eslint-plugin-import": "^2.31.0",
-        "eslint-plugin-jsdoc": "^50.6.14",
-        "eslint-plugin-n": "^17.18.0",
-        "feed": "^5.0.0",
+        "eslint-plugin-import": "^2.32.0",
+        "eslint-plugin-jsdoc": "^62.5.5",
+        "eslint-plugin-n": "^17.24.0",
+        "feed": "^5.2.0",
         "husky": "^9.1.7",
         "rehype": "^13.0.2",
-        "rimraf": "^6.0.1",
-        "semantic-release": "^25.0.2",
-        "sharp": "^0.34.1",
+        "rimraf": "^6.1.3",
+        "semantic-release": "^25.0.3",
+        "sharp": "^0.34.5",
         "tslib": "^2.8.1",
-        "typedoc": "^0.28.9",
-        "typedoc-plugin-markdown": "^4.8.0",
-        "typedoc-plugin-mdn-links": "^5.0.7",
+        "typedoc": "^0.28.17",
+        "typedoc-plugin-markdown": "^4.10.0",
+        "typedoc-plugin-mdn-links": "^5.1.1",
         "typedoc-vitepress-theme": "^1.1.2",
-        "typescript": "^5.9.2",
-        "typescript-eslint": "^8.39.0",
-        "vite-node": "^3.2.4",
-        "vitepress": "^1.6.3",
-        "vitepress-plugin-llms": "^1.7.2",
-        "vitest": "^3.2.4",
-        "zx": "^8.5.4"
+        "typescript": "^5.9.3",
+        "typescript-eslint": "^8.56.0",
+        "vite-node": "^5.3.0",
+        "vitepress": "^1.6.4",
+        "vitepress-plugin-llms": "^1.11.0",
+        "vitest": "^4.0.18",
+        "zx": "^8.8.5"
       },
       "engines": {
         "node": ">=20.0.0"
@@ -126,54 +126,51 @@
       }
     },
     "node_modules/@actions/core": {
-      "version": "1.11.1",
-      "resolved": "https://registry.npmjs.org/@actions/core/-/core-1.11.1.tgz",
-      "integrity": "sha512-hXJCSrkwfA46Vd9Z3q4cpEpHB1rL5NG04+/rbqW9d3+CSvtB1tYe8UTpAlixa1vj0m/ULglfEK2UKxMGxCxv5A==",
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/@actions/core/-/core-3.0.0.tgz",
+      "integrity": "sha512-zYt6cz+ivnTmiT/ksRVriMBOiuoUpDCJJlZ5KPl2/FRdvwU3f7MPh9qftvbkXJThragzUZieit2nyHUyw53Seg==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@actions/exec": "^1.1.1",
-        "@actions/http-client": "^2.0.1"
+        "@actions/exec": "^3.0.0",
+        "@actions/http-client": "^4.0.0"
       }
     },
     "node_modules/@actions/exec": {
-      "version": "1.1.1",
-      "resolved": "https://registry.npmjs.org/@actions/exec/-/exec-1.1.1.tgz",
-      "integrity": "sha512-+sCcHHbVdk93a0XT19ECtO/gIXoxvdsgQLzb2fE2/5sIZmWQuluYyjPQtrtTHdU1YzTZ7bAPN4sITq2xi1679w==",
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/@actions/exec/-/exec-3.0.0.tgz",
+      "integrity": "sha512-6xH/puSoNBXb72VPlZVm7vQ+svQpFyA96qdDBvhB8eNZOE8LtPf9L4oAsfzK/crCL8YZ+19fKYVnM63Sl+Xzlw==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@actions/io": "^1.0.1"
+        "@actions/io": "^3.0.2"
       }
     },
     "node_modules/@actions/http-client": {
-      "version": "2.2.3",
-      "resolved": "https://registry.npmjs.org/@actions/http-client/-/http-client-2.2.3.tgz",
-      "integrity": "sha512-mx8hyJi/hjFvbPokCg4uRd4ZX78t+YyRPtnKWwIl+RzNaVuFpQHfmlGVfsKEJN8LwTCvL+DfVgAM04XaHkm6bA==",
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/@actions/http-client/-/http-client-4.0.0.tgz",
+      "integrity": "sha512-QuwPsgVMsD6qaPD57GLZi9sqzAZCtiJT8kVBCDpLtxhL5MydQ4gS+DrejtZZPdIYyB1e95uCK9Luyds7ybHI3g==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
         "tunnel": "^0.0.6",
-        "undici": "^5.25.4"
+        "undici": "^6.23.0"
       }
     },
     "node_modules/@actions/http-client/node_modules/undici": {
-      "version": "5.29.0",
-      "resolved": "https://registry.npmjs.org/undici/-/undici-5.29.0.tgz",
-      "integrity": "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg==",
+      "version": "6.23.0",
+      "resolved": "https://registry.npmjs.org/undici/-/undici-6.23.0.tgz",
+      "integrity": "sha512-VfQPToRA5FZs/qJxLIinmU59u0r7LXqoJkCzinq3ckNJp3vKEh7jTWN589YQ5+aoAC/TGRLyJLCPKcLQbM8r9g==",
       "dev": true,
       "license": "MIT",
-      "dependencies": {
-        "@fastify/busboy": "^2.0.0"
-      },
       "engines": {
-        "node": ">=14.0"
+        "node": ">=18.17"
       }
     },
     "node_modules/@actions/io": {
-      "version": "1.1.3",
-      "resolved": "https://registry.npmjs.org/@actions/io/-/io-1.1.3.tgz",
-      "integrity": "sha512-wi9JjgKLYS7U/z8PPbco+PvTb/nRWjeoFlJ1Qer83k/3C5PHQi28hiVdeE2kHXmIL99mQFawx8qt/JPjZilJ8Q==",
+      "version": "3.0.2",
+      "resolved": "https://registry.npmjs.org/@actions/io/-/io-3.0.2.tgz",
+      "integrity": "sha512-nRBchcMM+QK1pdjO7/idu86rbJI5YHUKCvKs0KxnSYbVe3F51UfGxuZX4Qy/fWlp6l7gWFwIkrOzN+oUK03kfw==",
       "dev": true,
       "license": "MIT"
     },
@@ -419,20 +416,6 @@
         "node": ">= 14.0.0"
       }
     },
-    "node_modules/@ampproject/remapping": {
-      "version": "2.3.0",
-      "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.3.0.tgz",
-      "integrity": "sha512-30iZtAPgz+LTIYoeivqYo853f02jBYSd5uGnGpkFV0M3xOt9aN73erkgYAmZU43x4VfqcnLxW9Kpg3R5LC4YYw==",
-      "dev": true,
-      "license": "Apache-2.0",
-      "dependencies": {
-        "@jridgewell/gen-mapping": "^0.3.5",
-        "@jridgewell/trace-mapping": "^0.3.24"
-      },
-      "engines": {
-        "node": ">=6.0.0"
-      }
-    },
     "node_modules/@babel/code-frame": {
       "version": "7.26.2",
       "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.26.2.tgz",
@@ -449,9 +432,9 @@
       }
     },
     "node_modules/@babel/helper-string-parser": {
-      "version": "7.25.9",
-      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.25.9.tgz",
-      "integrity": "sha512-4A/SCr/2KLd5jrtOMFzaKjVtAei3+2r/NChoBNoZ3EyP/+GlhoaEGoWOZUmFmoITP7zOJyHIMm+DYRd8o3PvHA==",
+      "version": "7.27.1",
+      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.27.1.tgz",
+      "integrity": "sha512-qMlSxKbpRlAridDExk92nSobyDdpPijUq2DW6oDnUqd0iOGxmQjyqhMIihI9+zv4LPyZdRje2cavWPbCbWm3eA==",
       "dev": true,
       "license": "MIT",
       "engines": {
@@ -459,9 +442,9 @@
       }
     },
     "node_modules/@babel/helper-validator-identifier": {
-      "version": "7.25.9",
-      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.25.9.tgz",
-      "integrity": "sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ==",
+      "version": "7.28.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.28.5.tgz",
+      "integrity": "sha512-qSs4ifwzKJSV39ucNjsvc6WVHs6b7S03sOh2OcHF9UHfVPqWWALUsNUVzhSBiItjRZoLHx7nIarVjqKVusUZ1Q==",
       "dev": true,
       "license": "MIT",
       "engines": {
@@ -469,13 +452,13 @@
       }
     },
     "node_modules/@babel/parser": {
-      "version": "7.26.3",
-      "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.26.3.tgz",
-      "integrity": "sha512-WJ/CvmY8Mea8iDXo6a7RK2wbmJITT5fN3BEkRuFlxVyNx8jOKIIhmC4fSkTcPcf8JyavbBwIe6OpiCOBXt/IcA==",
+      "version": "7.29.0",
+      "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.29.0.tgz",
+      "integrity": "sha512-IyDgFV5GeDUVX4YdF/3CPULtVGSXXMLh1xVIgdCgxApktqnQV0r7/8Nqthg+8YLGaAtdyIlo2qIdZrbCv4+7ww==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@babel/types": "^7.26.3"
+        "@babel/types": "^7.29.0"
       },
       "bin": {
         "parser": "bin/babel-parser.js"
@@ -485,14 +468,14 @@
       }
     },
     "node_modules/@babel/types": {
-      "version": "7.26.3",
-      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.26.3.tgz",
-      "integrity": "sha512-vN5p+1kl59GVKMvTHt55NzzmYVxprfJD+ql7U9NFIfKCBkYE55LYtS+WtPlaYOyzydrKI8Nezd+aZextrd+FMA==",
+      "version": "7.29.0",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.29.0.tgz",
+      "integrity": "sha512-LwdZHpScM4Qz8Xw2iKSzS+cfglZzJGvofQICy7W7v4caru4EaAmyUuO6BGrbyQ2mYV11W0U8j5mBhd14dd3B0A==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@babel/helper-string-parser": "^7.25.9",
-        "@babel/helper-validator-identifier": "^7.25.9"
+        "@babel/helper-string-parser": "^7.27.1",
+        "@babel/helper-validator-identifier": "^7.28.5"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -520,17 +503,17 @@
       }
     },
     "node_modules/@commitlint/cli": {
-      "version": "19.8.1",
-      "resolved": "https://registry.npmjs.org/@commitlint/cli/-/cli-19.8.1.tgz",
-      "integrity": "sha512-LXUdNIkspyxrlV6VDHWBmCZRtkEVRpBKxi2Gtw3J54cGWhLCTouVD/Q6ZSaSvd2YaDObWK8mDjrz3TIKtaQMAA==",
+      "version": "20.4.1",
+      "resolved": "https://registry.npmjs.org/@commitlint/cli/-/cli-20.4.1.tgz",
+      "integrity": "sha512-uuFKKpc7OtQM+6SRqT+a4kV818o1pS+uvv/gsRhyX7g4x495jg+Q7P0+O9VNGyLXBYP0syksS7gMRDJKcekr6A==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@commitlint/format": "^19.8.1",
-        "@commitlint/lint": "^19.8.1",
-        "@commitlint/load": "^19.8.1",
-        "@commitlint/read": "^19.8.1",
-        "@commitlint/types": "^19.8.1",
+        "@commitlint/format": "^20.4.0",
+        "@commitlint/lint": "^20.4.1",
+        "@commitlint/load": "^20.4.0",
+        "@commitlint/read": "^20.4.0",
+        "@commitlint/types": "^20.4.0",
         "tinyexec": "^1.0.0",
         "yargs": "^17.0.0"
       },
@@ -542,27 +525,27 @@
       }
     },
     "node_modules/@commitlint/config-conventional": {
-      "version": "19.8.1",
-      "resolved": "https://registry.npmjs.org/@commitlint/config-conventional/-/config-conventional-19.8.1.tgz",
-      "integrity": "sha512-/AZHJL6F6B/G959CsMAzrPKKZjeEiAVifRyEwXxcT6qtqbPwGw+iQxmNS+Bu+i09OCtdNRW6pNpBvgPrtMr9EQ==",
+      "version": "20.4.1",
+      "resolved": "https://registry.npmjs.org/@commitlint/config-conventional/-/config-conventional-20.4.1.tgz",
+      "integrity": "sha512-0YUvIeBtpi86XriqrR+TCULVFiyYTIOEPjK7tTRMxjcBm1qlzb+kz7IF2WxL6Fq5DaundG8VO37BNgMkMTBwqA==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@commitlint/types": "^19.8.1",
-        "conventional-changelog-conventionalcommits": "^7.0.2"
+        "@commitlint/types": "^20.4.0",
+        "conventional-changelog-conventionalcommits": "^9.1.0"
       },
       "engines": {
         "node": ">=v18"
       }
     },
     "node_modules/@commitlint/config-validator": {
-      "version": "19.8.1",
-      "resolved": "https://registry.npmjs.org/@commitlint/config-validator/-/config-validator-19.8.1.tgz",
-      "integrity": "sha512-0jvJ4u+eqGPBIzzSdqKNX1rvdbSU1lPNYlfQQRIFnBgLy26BtC0cFnr7c/AyuzExMxWsMOte6MkTi9I3SQ3iGQ==",
+      "version": "20.4.0",
+      "resolved": "https://registry.npmjs.org/@commitlint/config-validator/-/config-validator-20.4.0.tgz",
+      "integrity": "sha512-zShmKTF+sqyNOfAE0vKcqnpvVpG0YX8F9G/ZIQHI2CoKyK+PSdladXMSns400aZ5/QZs+0fN75B//3Q5CHw++w==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@commitlint/types": "^19.8.1",
+        "@commitlint/types": "^20.4.0",
         "ajv": "^8.11.0"
       },
       "engines": {
@@ -570,13 +553,13 @@
       }
     },
     "node_modules/@commitlint/ensure": {
-      "version": "19.8.1",
-      "resolved": "https://registry.npmjs.org/@commitlint/ensure/-/ensure-19.8.1.tgz",
-      "integrity": "sha512-mXDnlJdvDzSObafjYrOSvZBwkD01cqB4gbnnFuVyNpGUM5ijwU/r/6uqUmBXAAOKRfyEjpkGVZxaDsCVnHAgyw==",
+      "version": "20.4.1",
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+      "license": "MIT",
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@@ -1232,6 +1226,23 @@
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+      "dev": true,
+      "license": "MIT",
+      "optional": true,
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@@ -1249,6 +1260,23 @@
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+      "dev": true,
+      "license": "MIT",
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@@ -1266,6 +1294,23 @@
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+      "license": "MIT",
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diff --git a/package.json b/package.json
index bee4249d..4c4cda0f 100644
--- a/package.json
+++ b/package.json
@@ -104,6 +104,7 @@
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     "topP",
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@@ -135,62 +136,62 @@
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   "dependencies": {
-    "@huggingface/jinja": "^0.5.3",
+    "@huggingface/jinja": "^0.5.5",
     "async-retry": "^1.3.3",
     "bytes": "^3.1.2",
-    "chalk": "^5.4.1",
+    "chalk": "^5.6.2",
     "chmodrp": "^1.0.2",
-    "cmake-js": "^7.4.0",
+    "cmake-js": "^8.0.0",
     "cross-spawn": "^7.0.6",
     "env-var": "^7.5.0",
     "filenamify": "^6.0.0",
@@ -198,21 +199,21 @@
     "ignore": "^7.0.4",
     "ipull": "^3.9.2",
     "is-unicode-supported": "^2.1.0",
-    "lifecycle-utils": "^3.0.1",
-    "log-symbols": "^7.0.0",
-    "nanoid": "^5.1.5",
-    "node-addon-api": "^8.3.1",
-    "octokit": "^5.0.3",
-    "ora": "^8.2.0",
-    "pretty-ms": "^9.2.0",
+    "lifecycle-utils": "^3.1.1",
+    "log-symbols": "^7.0.1",
+    "nanoid": "^5.1.6",
+    "node-addon-api": "^8.5.0",
+    "octokit": "^5.0.5",
+    "ora": "^9.3.0",
+    "pretty-ms": "^9.3.0",
     "proper-lockfile": "^4.1.2",
     "semver": "^7.7.1",
-    "simple-git": "^3.27.0",
-    "slice-ansi": "^7.1.0",
+    "simple-git": "^3.31.1",
+    "slice-ansi": "^8.0.0",
     "stdout-update": "^4.0.1",
-    "strip-ansi": "^7.1.0",
-    "validate-npm-package-name": "^6.0.0",
-    "which": "^5.0.0",
+    "strip-ansi": "^7.1.2",
+    "validate-npm-package-name": "^7.0.2",
+    "which": "^6.0.1",
     "yargs": "^17.7.2"
   },
   "peerDependencies": {
diff --git a/src/bindings/AddonTypes.ts b/src/bindings/AddonTypes.ts
index 08e19e61..df45a004 100644
--- a/src/bindings/AddonTypes.ts
+++ b/src/bindings/AddonTypes.ts
@@ -159,7 +159,7 @@ export type AddonContext = {
     ensureDraftContextIsCompatibleForSpeculative(draftContext: AddonContext): void,
     saveSequenceStateToFile(filePath: string, sequenceId: number, tokens: Uint32Array): Promise<number>,
     loadSequenceStateFromFile(filePath: string, sequenceId: number, maxContextSize: number): Promise<Uint32Array>,
-    setLora(lora: AddonModelLora, scale: number): void
+    setLoras(loras: AddonModelLora[], scales: number[]): void
 };
 
 export type BatchLogitIndex = number & {
@@ -182,11 +182,18 @@ export type AddonSampler = {
         topK?: number,
         topP?: number,
         seed?: number,
+        xtcProbability?: number,
+        xtcThreshold?: number,
         repeatPenalty?: number,
         repeatPenaltyMaxTokens?: number,
         repeatPenaltyTokens?: Uint32Array,
         repeatPenaltyPresencePenalty?: number, // alpha_presence
         repeatPenaltyFrequencyPenalty?: number, // alpha_frequency
+        dryRepeatPenaltyStrength?: number,
+        dryRepeatPenaltyBase?: number,
+        dryRepeatPenaltyAllowedLength?: number,
+        dryRepeatPenaltyLastTokens?: number,
+        dryRepeatPenaltySequenceBreakers?: false | string[],
         grammarEvaluationState?: AddonGrammarEvaluationState,
         tokenBiasKeys?: Uint32Array,
         tokenBiasValues?: Float32Array
diff --git a/src/bindings/getLlama.ts b/src/bindings/getLlama.ts
index 8f8c6a70..856de48c 100644
--- a/src/bindings/getLlama.ts
+++ b/src/bindings/getLlama.ts
@@ -132,7 +132,7 @@ export type LlamaOptions = {
      * Recommended to ensure stability.
      * This only affects the calculations of `"auto"` in function options and is not reflected in the `getVramState` function.
      *
-     * Defaults to `6%` of the total VRAM or 1GB, whichever is lower.
+     * Defaults to `8%` of the total VRAM or 1.2GB, whichever is lower.
      * Set to `0` to disable.
      */
     vramPadding?: number | ((totalVram: number) => number),
@@ -306,7 +306,7 @@ export type LastBuildOptions = {
 
 export const getLlamaFunctionName = "getLlama";
 
-export const defaultLlamaVramPadding = (totalVram: number) => Math.floor(Math.min(totalVram * 0.06, 1024 * 1024 * 1024));
+export const defaultLlamaVramPadding = (totalVram: number) => Math.floor(Math.min(totalVram * 0.08, 1.2 * Math.pow(1024, 3)));
 export const defaultLlamaRamPadding = (totalRam: number) => {
     const platform = getPlatform();
 
diff --git a/src/chatWrappers/generic/utils/extractFunctionCallSettingsFromJinjaTemplate.ts b/src/chatWrappers/generic/utils/extractFunctionCallSettingsFromJinjaTemplate.ts
index 3a6fcb5d..21e82ed4 100644
--- a/src/chatWrappers/generic/utils/extractFunctionCallSettingsFromJinjaTemplate.ts
+++ b/src/chatWrappers/generic/utils/extractFunctionCallSettingsFromJinjaTemplate.ts
@@ -398,7 +398,7 @@ export function extractFunctionCallSettingsFromJinjaTemplate({
     const callPrefixText = func1ParamsToFunc2Name.text.slice(-callPrefixLength);
     const parallelismCallPrefix = modelMessage1ToFunc1Name.text.slice(0, -callPrefixLength);
 
-    const callSuffixLength = findCommandStartLength(func1ParamsToFunc2Name.text, func2ParamsToFunc1Result.text);
+    const callSuffixLength = findCommonStartLength(func1ParamsToFunc2Name.text, func2ParamsToFunc1Result.text);
     const callSuffixText = func1ParamsToFunc2Name.text.slice(0, callSuffixLength);
 
     const parallelismBetweenCallsText = func1ParamsToFunc2Name.text.slice(callSuffixLength, -callPrefixLength);
@@ -407,7 +407,7 @@ export function extractFunctionCallSettingsFromJinjaTemplate({
     const resultPrefixLength = findCommonEndLength(func2ParamsToFunc1Result.text, func1ResultToFunc2Result.text);
     const resultPrefixText = func2ParamsToFunc1Result.text.slice(-resultPrefixLength);
 
-    const resultSuffixLength = findCommandStartLength(func1ResultToFunc2Result.text, func2ResultToModelMessage2.text);
+    const resultSuffixLength = findCommonStartLength(func1ResultToFunc2Result.text, func2ResultToModelMessage2.text);
     const resultSuffixText = func1ResultToFunc2Result.text.slice(0, resultSuffixLength);
     const parallelismResultBetweenResultsText = func1ResultToFunc2Result.text.slice(resultSuffixLength, -resultPrefixLength);
     const parallelismResultSuffixText = func2ResultToModelMessage2.text.slice(resultSuffixLength);
@@ -452,7 +452,7 @@ export function extractFunctionCallSettingsFromJinjaTemplate({
         const onlyCallUserMessage1ToFunc1Name = getTextBetweenIds(renderedOnlyCall, userMessage1, func1name);
 
         if (userMessage1ToModelMessage1Start.text != null && onlyCallUserMessage1ToFunc1Name.text != null) {
-            const onlyCallModelMessagePrefixLength = findCommandStartLength(
+            const onlyCallModelMessagePrefixLength = findCommonStartLength(
                 userMessage1ToModelMessage1Start.text,
                 onlyCallUserMessage1ToFunc1Name.text
             );
@@ -470,6 +470,21 @@ export function extractFunctionCallSettingsFromJinjaTemplate({
         }
     }
 
+    const {
+        whitespacePrefix: revivedCallWhitespacePrefix,
+        newTarget: cleanRevivedCallPrefix
+    } = extractWhitespacePrefixFromRevivedText(revivedCallPrefix);
+
+    const {
+        whitespacePrefix: revivedParallelismWhitespacePrefix,
+        newTarget: cleanRevivedParallelismCallSectionPrefix
+    } = extractWhitespacePrefixFromRevivedText(
+        LlamaText([
+            revivedParallelismCallSectionPrefix,
+            revivedCallWhitespacePrefix
+        ])
+    );
+
     return {
         stringifyParams,
         stringifyResult,
@@ -477,7 +492,7 @@ export function extractFunctionCallSettingsFromJinjaTemplate({
         settings: {
             call: {
                 optionalPrefixSpace: true,
-                prefix: revivedCallPrefix,
+                prefix: cleanRevivedCallPrefix,
                 paramsPrefix: reviveSeparatorText(callParamsPrefixText, idToStaticContent, contentIds),
                 suffix: reviveSeparatorText(callSuffixText, idToStaticContent, contentIds),
                 emptyCallParamsPlaceholder: {}
@@ -504,8 +519,17 @@ export function extractFunctionCallSettingsFromJinjaTemplate({
             },
             parallelism: {
                 call: {
-                    sectionPrefix: revivedParallelismCallSectionPrefix,
-                    betweenCalls: revivedParallelismCallBetweenCalls,
+                    sectionPrefix: LlamaText([
+                        revivedParallelismWhitespacePrefix,
+                        cleanRevivedParallelismCallSectionPrefix
+                    ]),
+                    sectionPrefixAlternateMatches: revivedParallelismWhitespacePrefix.values.length === 0
+                        ? undefined
+                        : [cleanRevivedParallelismCallSectionPrefix],
+                    betweenCalls: LlamaText([
+                        revivedParallelismCallBetweenCalls,
+                        revivedCallWhitespacePrefix
+                    ]),
                     sectionSuffix: reviveSeparatorText(parallelismCallSuffixText, idToStaticContent, contentIds)
                 },
                 result: {
@@ -567,7 +591,7 @@ function removeCommonRevivedPrefix(target: LlamaText, matchStart: LlamaText) {
             if (targetValue === matchStartValue)
                 continue;
         } else if (targetValue instanceof SpecialTokensText && matchStartValue instanceof SpecialTokensText) {
-            const commonLength = findCommandStartLength(targetValue.value, matchStartValue.value);
+            const commonLength = findCommonStartLength(targetValue.value, matchStartValue.value);
             if (commonLength === targetValue.value.length && commonLength === matchStartValue.value.length)
                 continue;
 
@@ -620,7 +644,56 @@ function removeCommonRevivedSuffix(target: LlamaText, matchEnd: LlamaText) {
     return LlamaText(target.values.slice(0, target.values.length - matchEnd.values.length));
 }
 
-function findCommandStartLength(text1: string, text2: string) {
+function extractWhitespacePrefixFromRevivedText(target: LlamaText) {
+    for (let i = 0; i < target.values.length; i++) {
+        const value = target.values[i];
+        if (typeof value === "string") {
+            const trimmedValueLength = value.trimStart().length;
+            if (trimmedValueLength === 0)
+                continue;
+
+            const whitespaceLength = value.length - trimmedValueLength;
+            return {
+                whitespacePrefix: LlamaText([
+                    ...target.values.slice(0, i),
+                    value.slice(0, whitespaceLength)
+                ]),
+                newTarget: LlamaText([
+                    value.slice(whitespaceLength),
+                    ...target.values.slice(i + 1)
+                ])
+            };
+        } else if (value instanceof SpecialTokensText) {
+            const trimmedValue = value.value.trimStart();
+            if (trimmedValue.length === 0)
+                continue;
+
+            const whitespaceLength = value.value.length - trimmedValue.length;
+            return {
+                whitespacePrefix: LlamaText([
+                    ...target.values.slice(0, i),
+                    new SpecialTokensText(value.value.slice(0, whitespaceLength))
+                ]),
+                newTarget: LlamaText([
+                    new SpecialTokensText(value.value.slice(whitespaceLength)),
+                    ...target.values.slice(i + 1)
+                ])
+            };
+        }
+
+        return {
+            whitespacePrefix: LlamaText(target.values.slice(0, i)),
+            newTarget: LlamaText(target.values.slice(i))
+        };
+    }
+
+    return {
+        whitespacePrefix: target,
+        newTarget: LlamaText([])
+    };
+}
+
+function findCommonStartLength(text1: string, text2: string) {
     let commonStartLength = 0;
     while (commonStartLength < text1.length && commonStartLength < text2.length) {
         if (text1[commonStartLength] !== text2[commonStartLength])
diff --git a/src/chatWrappers/generic/utils/extractSegmentSettingsFromTokenizerAndChatTemplate.ts b/src/chatWrappers/generic/utils/extractSegmentSettingsFromTokenizerAndChatTemplate.ts
index c77d98bf..6d6cd2a9 100644
--- a/src/chatWrappers/generic/utils/extractSegmentSettingsFromTokenizerAndChatTemplate.ts
+++ b/src/chatWrappers/generic/utils/extractSegmentSettingsFromTokenizerAndChatTemplate.ts
@@ -78,7 +78,8 @@ export function extractSegmentSettingsFromTokenizerAndChatTemplate(
         thought: tryMatchPrefixSuffixPair([
             ["<think>", "</think>"], // DeepSeek, QwQ
             ["<thought>", "</thought>"], // EXAONE Deep
-            ["<|START_THINKING|>", "<|END_THINKING|>"] // Command R7B
+            ["<|START_THINKING|>", "<|END_THINKING|>"], // Command R7B
+            ["<|begin_of_thought|>", "<|end_of_thought|>"] // JoyAI
         ])
     });
 }
diff --git a/src/cli/commands/ChatCommand.ts b/src/cli/commands/ChatCommand.ts
index 3de7fcdb..fe631d91 100644
--- a/src/cli/commands/ChatCommand.ts
+++ b/src/cli/commands/ChatCommand.ts
@@ -30,6 +30,7 @@ import {resolveHeaderFlag} from "../utils/resolveHeaderFlag.js";
 import {withCliCommandDescriptionDocsUrl} from "../utils/withCliCommandDescriptionDocsUrl.js";
 import {ConsoleInteraction, ConsoleInteractionKey} from "../utils/ConsoleInteraction.js";
 import {DraftSequenceTokenPredictor} from "../../evaluator/LlamaContext/tokenPredictors/DraftSequenceTokenPredictor.js";
+import {ParsedXtcArg, parseXtcArg} from "../utils/parseXtcArg.js";
 
 type ChatCommand = {
     modelPath?: string,
@@ -55,12 +56,17 @@ type ChatCommand = {
     topK: number,
     topP: number,
     seed?: number,
+    xtc?: ParsedXtcArg,
     gpuLayers?: number,
     repeatPenalty: number,
     lastTokensRepeatPenalty: number,
     penalizeRepeatingNewLine: boolean,
     repeatFrequencyPenalty?: number,
     repeatPresencePenalty?: number,
+    dryRepeatPenaltyStrength?: number,
+    dryRepeatPenaltyBase?: number,
+    dryRepeatPenaltyAllowedLength?: number,
+    dryRepeatPenaltyLastTokens?: number,
     maxTokens: number,
     reasoningBudget?: number,
     noHistory: boolean,
@@ -224,6 +230,11 @@ export const ChatCommand: CommandModule<object, ChatCommand> = {
                 description: "Used to control the randomness of the generated text. Only relevant when using `temperature`.",
                 defaultDescription: "The current epoch time"
             })
+            .option("xtc", {
+                type: "string",
+                description: "Exclude Top Choices (XTC) removes the top tokens from consideration and avoids more obvious and repetitive generations. `probability` (a number between `0` and `1`) controls the chance that the top tokens will be removed in the next token generation step, `threshold` (a number between `0` and `1`) controls the minimum probability of a token for it to be removed. Set this argument to `probability,threshold` to set both values. For example, `0.5,0.1`",
+                coerce: parseXtcArg
+            })
             .option("gpuLayers", {
                 alias: "gl",
                 type: "number",
@@ -259,6 +270,30 @@ export const ChatCommand: CommandModule<object, ChatCommand> = {
                 type: "number",
                 description: "Lower the probability of all the tokens in the `punishTokens` array by `repeatPresencePenalty`. Set to a value between `0` and `1` to enable."
             })
+            .option("dryRepeatPenaltyStrength", {
+                alias: ["drps", "dryStrength"],
+                type: "number",
+                default: 0,
+                description: "The strength for DRY (Do Repeat Yourself) penalties. A number between `0` and `1`, where `0` means no DRY penalties, and `1` means full strength DRY penalties. The recommended value is `0.8`."
+            })
+            .option("dryRepeatPenaltyBase", {
+                alias: ["drpb", "dryBase"],
+                type: "number",
+                default: 1.75,
+                description: "The base value for the exponential penality calculation for DRY (Do Repeat Yourself) penalties. A higher value will lead to more aggressive penalization of repetitions."
+            })
+            .option("dryRepeatPenaltyAllowedLength", {
+                alias: ["drpal", "dryAllowedLength"],
+                type: "number",
+                default: 2,
+                description: "The maximum sequence length (in tokens) that DRY (Do Repeat Yourself) will allow to be repeated without being penalized. Repetitions shorter than or equal to this length will not be penalized."
+            })
+            .option("dryRepeatPenaltyLastTokens", {
+                alias: ["drplt", "dryLastTokens"],
+                type: "number",
+                default: -1,
+                description: "Number of recent tokens generated by the model for DRY (Do Repeat Yourself) to consider for sequence repetition matching. Set to `-1` to consider all tokens in the context sequence. Setting to `0` will disable DRY penalties."
+            })
             .option("maxTokens", {
                 alias: "mt",
                 type: "number",
@@ -346,8 +381,9 @@ export const ChatCommand: CommandModule<object, ChatCommand> = {
         modelPath, header, gpu, systemInfo, systemPrompt, systemPromptFile, prompt,
         promptFile, wrapper, noJinja, contextSize, batchSize, flashAttention, swaFullCache,
         noTrimWhitespace, grammar, jsonSchemaGrammarFile, threads, temperature, minP, topK,
-        topP, seed, gpuLayers, repeatPenalty, lastTokensRepeatPenalty, penalizeRepeatingNewLine,
-        repeatFrequencyPenalty, repeatPresencePenalty, maxTokens, reasoningBudget, noHistory,
+        topP, seed, xtc, gpuLayers, repeatPenalty, lastTokensRepeatPenalty, penalizeRepeatingNewLine,
+        repeatFrequencyPenalty, repeatPresencePenalty, dryRepeatPenaltyStrength, dryRepeatPenaltyBase, dryRepeatPenaltyAllowedLength,
+        dryRepeatPenaltyLastTokens, maxTokens, reasoningBudget, noHistory,
         environmentFunctions, tokenPredictionDraftModel, tokenPredictionModelContextSize, debug, numa, meter, timing, noMmap, noDirectIo,
         printTimings
     }) {
@@ -355,8 +391,9 @@ export const ChatCommand: CommandModule<object, ChatCommand> = {
             await RunChat({
                 modelPath, header, gpu, systemInfo, systemPrompt, systemPromptFile, prompt, promptFile, wrapper, noJinja, contextSize,
                 batchSize, flashAttention, swaFullCache, noTrimWhitespace, grammar, jsonSchemaGrammarFile, threads,
-                temperature, minP, topK, topP, seed,
+                temperature, minP, topK, topP, seed, xtc,
                 gpuLayers, lastTokensRepeatPenalty, repeatPenalty, penalizeRepeatingNewLine, repeatFrequencyPenalty, repeatPresencePenalty,
+                dryRepeatPenaltyStrength, dryRepeatPenaltyBase, dryRepeatPenaltyAllowedLength, dryRepeatPenaltyLastTokens,
                 maxTokens, reasoningBudget, noHistory, environmentFunctions, tokenPredictionDraftModel, tokenPredictionModelContextSize,
                 debug, numa, meter, timing, noMmap, noDirectIo, printTimings
             });
@@ -373,8 +410,9 @@ async function RunChat({
     modelPath: modelArg, header: headerArg, gpu, systemInfo, systemPrompt, systemPromptFile, prompt, promptFile, wrapper, noJinja,
     contextSize, batchSize, flashAttention, swaFullCache, noTrimWhitespace, grammar: grammarArg,
     jsonSchemaGrammarFile: jsonSchemaGrammarFilePath,
-    threads, temperature, minP, topK, topP, seed, gpuLayers, lastTokensRepeatPenalty, repeatPenalty, penalizeRepeatingNewLine,
-    repeatFrequencyPenalty, repeatPresencePenalty, maxTokens, reasoningBudget, noHistory, environmentFunctions, tokenPredictionDraftModel,
+    threads, temperature, minP, topK, topP, seed, xtc, gpuLayers, lastTokensRepeatPenalty, repeatPenalty, penalizeRepeatingNewLine,
+    repeatFrequencyPenalty, repeatPresencePenalty, dryRepeatPenaltyStrength, dryRepeatPenaltyBase, dryRepeatPenaltyAllowedLength,
+    dryRepeatPenaltyLastTokens, maxTokens, reasoningBudget, noHistory, environmentFunctions, tokenPredictionDraftModel,
     tokenPredictionModelContextSize, debug, numa, meter, timing, noMmap, noDirectIo, printTimings
 }: ChatCommand) {
     if (contextSize === -1) contextSize = undefined;
@@ -628,6 +666,30 @@ async function RunChat({
             show: !penalizeRepeatingNewLine,
             title: "Penalize repeating new line",
             value: "disabled"
+        }, {
+            show: dryRepeatPenaltyStrength != null && dryRepeatPenaltyStrength !== 0,
+            title: "DRY strength",
+            value: String(dryRepeatPenaltyStrength) + " (apply to " + (
+                dryRepeatPenaltyLastTokens === -1
+                    ? "the entire context sequence"
+                    : ("last " + dryRepeatPenaltyLastTokens + " tokens")
+            ) + ")"
+        }, {
+            show: dryRepeatPenaltyStrength != null && dryRepeatPenaltyStrength !== 0,
+            title: "DRY base",
+            value: String(dryRepeatPenaltyBase)
+        }, {
+            show: dryRepeatPenaltyStrength != null && dryRepeatPenaltyStrength !== 0,
+            title: "DRY allow length",
+            value: String(dryRepeatPenaltyAllowedLength)
+        }, {
+            show: xtc != null,
+            title: "XTC probability",
+            value: String(xtc?.probability)
+        }, {
+            show: xtc != null,
+            title: "XTC threshold",
+            value: String(xtc?.threshold)
         }, {
             show: jsonSchemaGrammarFilePath != null,
             title: "JSON schema grammar file",
@@ -720,6 +782,7 @@ async function RunChat({
                 topK,
                 topP,
                 seed: seed ?? undefined,
+                xtc,
                 signal: abortController.signal,
                 stopOnAbortSignal: true,
                 budgets: {
@@ -732,6 +795,15 @@ async function RunChat({
                     penalizeNewLine: penalizeRepeatingNewLine,
                     lastTokens: lastTokensRepeatPenalty
                 },
+                dryRepeatPenalty: dryRepeatPenaltyStrength == null ? undefined : {
+                    strength: dryRepeatPenaltyStrength,
+                    base: dryRepeatPenaltyBase,
+                    allowedLength: dryRepeatPenaltyAllowedLength,
+                    lastTokens: dryRepeatPenaltyLastTokens === -1
+                        ? null
+                        : dryRepeatPenaltyLastTokens,
+                    sequenceBreakers: []
+                },
                 maxTokens: maxTokens === -1
                     ? context.contextSize
                     : maxTokens <= 0
diff --git a/src/cli/commands/CompleteCommand.ts b/src/cli/commands/CompleteCommand.ts
index a434721b..e6a178ce 100644
--- a/src/cli/commands/CompleteCommand.ts
+++ b/src/cli/commands/CompleteCommand.ts
@@ -22,6 +22,7 @@ import {withCliCommandDescriptionDocsUrl} from "../utils/withCliCommandDescripti
 import {documentationPageUrls} from "../../config.js";
 import {ConsoleInteraction, ConsoleInteractionKey} from "../utils/ConsoleInteraction.js";
 import {DraftSequenceTokenPredictor} from "../../evaluator/LlamaContext/tokenPredictors/DraftSequenceTokenPredictor.js";
+import {ParsedXtcArg, parseXtcArg} from "../utils/parseXtcArg.js";
 
 type CompleteCommand = {
     modelPath?: string,
@@ -40,8 +41,13 @@ type CompleteCommand = {
     topK: number,
     topP: number,
     seed?: number,
+    xtc?: ParsedXtcArg,
     gpuLayers?: number,
     repeatPenalty: number,
+    dryRepeatPenaltyStrength?: number,
+    dryRepeatPenaltyBase?: number,
+    dryRepeatPenaltyAllowedLength?: number,
+    dryRepeatPenaltyLastTokens?: number,
     lastTokensRepeatPenalty: number,
     penalizeRepeatingNewLine: boolean,
     repeatFrequencyPenalty?: number,
@@ -163,6 +169,11 @@ export const CompleteCommand: CommandModule<object, CompleteCommand> = {
                 description: "Used to control the randomness of the generated text. Only relevant when using `temperature`.",
                 defaultDescription: "The current epoch time"
             })
+            .option("xtc", {
+                type: "string",
+                description: "Exclude Top Choices (XTC) removes the top tokens from consideration and avoids more obvious and repetitive generations. `probability` (a number between `0` and `1`) controls the chance that the top tokens will be removed in the next token generation step, `threshold` (a number between `0` and `1`) controls the minimum probability of a token for it to be removed. Set this argument to `probability,threshold` to set both values. For example, `0.5,0.1`",
+                coerce: parseXtcArg
+            })
             .option("gpuLayers", {
                 alias: "gl",
                 type: "number",
@@ -198,6 +209,30 @@ export const CompleteCommand: CommandModule<object, CompleteCommand> = {
                 type: "number",
                 description: "Lower the probability of all the tokens in the `punishTokens` array by `repeatPresencePenalty`. Set to a value between `0` and `1` to enable."
             })
+            .option("dryRepeatPenaltyStrength", {
+                alias: ["drps", "dryStrength"],
+                type: "number",
+                default: 0,
+                description: "The strength for DRY (Do Repeat Yourself) penalties. A number between `0` and `1`, where `0` means no DRY penalties, and `1` means full strength DRY penalties. The recommended value is `0.8`."
+            })
+            .option("dryRepeatPenaltyBase", {
+                alias: ["drpb", "dryBase"],
+                type: "number",
+                default: 1.75,
+                description: "The base value for the exponential penality calculation for DRY (Do Repeat Yourself) penalties. A higher value will lead to more aggressive penalization of repetitions."
+            })
+            .option("dryRepeatPenaltyAllowedLength", {
+                alias: ["drpal", "dryAllowedLength"],
+                type: "number",
+                default: 2,
+                description: "The maximum sequence length (in tokens) that DRY (Do Repeat Yourself) will allow to be repeated without being penalized. Repetitions shorter than or equal to this length will not be penalized."
+            })
+            .option("dryRepeatPenaltyLastTokens", {
+                alias: ["drplt", "dryLastTokens"],
+                type: "number",
+                default: -1,
+                description: "Number of recent tokens generated by the model for DRY (Do Repeat Yourself) to consider for sequence repetition matching. Set to `-1` to consider all tokens in the context sequence. Setting to `0` will disable DRY penalties."
+            })
             .option("maxTokens", {
                 alias: "mt",
                 type: "number",
@@ -265,15 +300,17 @@ export const CompleteCommand: CommandModule<object, CompleteCommand> = {
     async handler({
         modelPath, header, gpu, systemInfo, text, textFile, contextSize, batchSize,
         flashAttention, swaFullCache, threads, temperature, minP, topK,
-        topP, seed, gpuLayers, repeatPenalty, lastTokensRepeatPenalty, penalizeRepeatingNewLine,
-        repeatFrequencyPenalty, repeatPresencePenalty, maxTokens, tokenPredictionDraftModel, tokenPredictionModelContextSize,
+        topP, seed, xtc, gpuLayers, repeatPenalty, lastTokensRepeatPenalty, penalizeRepeatingNewLine,
+        repeatFrequencyPenalty, repeatPresencePenalty, dryRepeatPenaltyStrength, dryRepeatPenaltyBase, dryRepeatPenaltyAllowedLength,
+        dryRepeatPenaltyLastTokens, maxTokens, tokenPredictionDraftModel, tokenPredictionModelContextSize,
         debug, numa, meter, timing, noMmap, noDirectIo, printTimings
     }) {
         try {
             await RunCompletion({
                 modelPath, header, gpu, systemInfo, text, textFile, contextSize, batchSize, flashAttention, swaFullCache,
-                threads, temperature, minP, topK, topP, seed, gpuLayers, lastTokensRepeatPenalty,
-                repeatPenalty, penalizeRepeatingNewLine, repeatFrequencyPenalty, repeatPresencePenalty, maxTokens,
+                threads, temperature, minP, topK, topP, seed, xtc, gpuLayers, lastTokensRepeatPenalty,
+                repeatPenalty, penalizeRepeatingNewLine, repeatFrequencyPenalty, repeatPresencePenalty, dryRepeatPenaltyStrength,
+                dryRepeatPenaltyBase, dryRepeatPenaltyAllowedLength, dryRepeatPenaltyLastTokens, maxTokens,
                 tokenPredictionDraftModel, tokenPredictionModelContextSize, debug, numa, meter, timing, noMmap, noDirectIo, printTimings
             });
         } catch (err) {
@@ -287,8 +324,9 @@ export const CompleteCommand: CommandModule<object, CompleteCommand> = {
 
 async function RunCompletion({
     modelPath: modelArg, header: headerArg, gpu, systemInfo, text, textFile, contextSize, batchSize, flashAttention, swaFullCache,
-    threads, temperature, minP, topK, topP, seed, gpuLayers,
+    threads, temperature, minP, topK, topP, seed, xtc, gpuLayers,
     lastTokensRepeatPenalty, repeatPenalty, penalizeRepeatingNewLine, repeatFrequencyPenalty, repeatPresencePenalty,
+    dryRepeatPenaltyStrength, dryRepeatPenaltyBase, dryRepeatPenaltyAllowedLength, dryRepeatPenaltyLastTokens,
     tokenPredictionDraftModel, tokenPredictionModelContextSize, maxTokens, debug, numa, meter, timing, noMmap, noDirectIo, printTimings
 }: CompleteCommand) {
     if (contextSize === -1) contextSize = undefined;
@@ -502,6 +540,30 @@ async function RunCompletion({
             show: !penalizeRepeatingNewLine,
             title: "Penalize repeating new line",
             value: "disabled"
+        }, {
+            show: dryRepeatPenaltyStrength != null && dryRepeatPenaltyStrength !== 0,
+            title: "DRY strength",
+            value: String(dryRepeatPenaltyStrength) + " (apply to " + (
+                dryRepeatPenaltyLastTokens === -1
+                    ? "the entire context sequence"
+                    : ("last " + dryRepeatPenaltyLastTokens + " tokens")
+            ) + ")"
+        }, {
+            show: dryRepeatPenaltyStrength != null && dryRepeatPenaltyStrength !== 0,
+            title: "DRY base",
+            value: String(dryRepeatPenaltyBase)
+        }, {
+            show: dryRepeatPenaltyStrength != null && dryRepeatPenaltyStrength !== 0,
+            title: "DRY allow length",
+            value: String(dryRepeatPenaltyAllowedLength)
+        }, {
+            show: xtc != null,
+            title: "XTC probability",
+            value: String(xtc?.probability)
+        }, {
+            show: xtc != null,
+            title: "XTC threshold",
+            value: String(xtc?.threshold)
         }, {
             show: timing,
             title: "Response timing",
@@ -562,6 +624,7 @@ async function RunCompletion({
                 topK,
                 topP,
                 seed: seed ?? undefined,
+                xtc,
                 signal: abortController.signal,
                 repeatPenalty: {
                     penalty: repeatPenalty,
@@ -570,6 +633,14 @@ async function RunCompletion({
                     penalizeNewLine: penalizeRepeatingNewLine,
                     lastTokens: lastTokensRepeatPenalty
                 },
+                dryRepeatPenalty: dryRepeatPenaltyStrength == null ? undefined : {
+                    strength: dryRepeatPenaltyStrength,
+                    base: dryRepeatPenaltyBase,
+                    allowedLength: dryRepeatPenaltyAllowedLength,
+                    lastTokens: dryRepeatPenaltyLastTokens === -1
+                        ? null
+                        : dryRepeatPenaltyLastTokens
+                },
                 maxTokens: maxTokens === -1
                     ? context.contextSize
                     : maxTokens <= 0
diff --git a/src/cli/commands/InfillCommand.ts b/src/cli/commands/InfillCommand.ts
index ffbf5ecd..4d2a6b86 100644
--- a/src/cli/commands/InfillCommand.ts
+++ b/src/cli/commands/InfillCommand.ts
@@ -22,6 +22,7 @@ import {withCliCommandDescriptionDocsUrl} from "../utils/withCliCommandDescripti
 import {documentationPageUrls} from "../../config.js";
 import {ConsoleInteraction, ConsoleInteractionKey} from "../utils/ConsoleInteraction.js";
 import {DraftSequenceTokenPredictor} from "../../evaluator/LlamaContext/tokenPredictors/DraftSequenceTokenPredictor.js";
+import {ParsedXtcArg, parseXtcArg} from "../utils/parseXtcArg.js";
 
 type InfillCommand = {
     modelPath?: string,
@@ -42,8 +43,13 @@ type InfillCommand = {
     topK: number,
     topP: number,
     seed?: number,
+    xtc?: ParsedXtcArg,
     gpuLayers?: number,
     repeatPenalty: number,
+    dryRepeatPenaltyStrength?: number,
+    dryRepeatPenaltyBase?: number,
+    dryRepeatPenaltyAllowedLength?: number,
+    dryRepeatPenaltyLastTokens?: number,
     lastTokensRepeatPenalty: number,
     penalizeRepeatingNewLine: boolean,
     repeatFrequencyPenalty?: number,
@@ -173,6 +179,11 @@ export const InfillCommand: CommandModule<object, InfillCommand> = {
                 description: "Used to control the randomness of the generated text. Only relevant when using `temperature`.",
                 defaultDescription: "The current epoch time"
             })
+            .option("xtc", {
+                type: "string",
+                description: "Exclude Top Choices (XTC) removes the top tokens from consideration and avoids more obvious and repetitive generations. `probability` (a number between `0` and `1`) controls the chance that the top tokens will be removed in the next token generation step, `threshold` (a number between `0` and `1`) controls the minimum probability of a token for it to be removed. Set this argument to `probability,threshold` to set both values. For example, `0.5,0.1`",
+                coerce: parseXtcArg
+            })
             .option("gpuLayers", {
                 alias: "gl",
                 type: "number",
@@ -208,6 +219,30 @@ export const InfillCommand: CommandModule<object, InfillCommand> = {
                 type: "number",
                 description: "Lower the probability of all the tokens in the `punishTokens` array by `repeatPresencePenalty`. Set to a value between `0` and `1` to enable."
             })
+            .option("dryRepeatPenaltyStrength", {
+                alias: ["drps", "dryStrength"],
+                type: "number",
+                default: 0,
+                description: "The strength for DRY (Do Repeat Yourself) penalties. A number between `0` and `1`, where `0` means no DRY penalties, and `1` means full strength DRY penalties. The recommended value is `0.8`."
+            })
+            .option("dryRepeatPenaltyBase", {
+                alias: ["drpb", "dryBase"],
+                type: "number",
+                default: 1.75,
+                description: "The base value for the exponential penality calculation for DRY (Do Repeat Yourself) penalties. A higher value will lead to more aggressive penalization of repetitions."
+            })
+            .option("dryRepeatPenaltyAllowedLength", {
+                alias: ["drpal", "dryAllowedLength"],
+                type: "number",
+                default: 2,
+                description: "The maximum sequence length (in tokens) that DRY (Do Repeat Yourself) will allow to be repeated without being penalized. Repetitions shorter than or equal to this length will not be penalized."
+            })
+            .option("dryRepeatPenaltyLastTokens", {
+                alias: ["drplt", "dryLastTokens"],
+                type: "number",
+                default: -1,
+                description: "Number of recent tokens generated by the model for DRY (Do Repeat Yourself) to consider for sequence repetition matching. Set to `-1` to consider all tokens in the context sequence. Setting to `0` will disable DRY penalties."
+            })
             .option("maxTokens", {
                 alias: "mt",
                 type: "number",
@@ -275,15 +310,17 @@ export const InfillCommand: CommandModule<object, InfillCommand> = {
     async handler({
         modelPath, header, gpu, systemInfo, prefix, prefixFile, suffix, suffixFile, contextSize, batchSize,
         flashAttention, swaFullCache, threads, temperature, minP, topK,
-        topP, seed, gpuLayers, repeatPenalty, lastTokensRepeatPenalty, penalizeRepeatingNewLine,
-        repeatFrequencyPenalty, repeatPresencePenalty, maxTokens, tokenPredictionDraftModel, tokenPredictionModelContextSize,
+        topP, seed, xtc, gpuLayers, repeatPenalty, lastTokensRepeatPenalty, penalizeRepeatingNewLine,
+        repeatFrequencyPenalty, repeatPresencePenalty, dryRepeatPenaltyStrength, dryRepeatPenaltyBase, dryRepeatPenaltyAllowedLength,
+        dryRepeatPenaltyLastTokens, maxTokens, tokenPredictionDraftModel, tokenPredictionModelContextSize,
         debug, numa, meter, timing, noMmap, noDirectIo, printTimings
     }) {
         try {
             await RunInfill({
                 modelPath, header, gpu, systemInfo, prefix, prefixFile, suffix, suffixFile, contextSize, batchSize, flashAttention,
-                swaFullCache, threads, temperature, minP, topK, topP, seed, gpuLayers, lastTokensRepeatPenalty,
-                repeatPenalty, penalizeRepeatingNewLine, repeatFrequencyPenalty, repeatPresencePenalty, maxTokens,
+                swaFullCache, threads, temperature, minP, topK, topP, seed, xtc, gpuLayers, lastTokensRepeatPenalty,
+                repeatPenalty, penalizeRepeatingNewLine, repeatFrequencyPenalty, repeatPresencePenalty, dryRepeatPenaltyStrength,
+                dryRepeatPenaltyBase, dryRepeatPenaltyAllowedLength, dryRepeatPenaltyLastTokens, maxTokens,
                 tokenPredictionDraftModel, tokenPredictionModelContextSize, debug, numa, meter, timing, noMmap, noDirectIo, printTimings
             });
         } catch (err) {
@@ -297,8 +334,9 @@ export const InfillCommand: CommandModule<object, InfillCommand> = {
 
 async function RunInfill({
     modelPath: modelArg, header: headerArg, gpu, systemInfo, prefix, prefixFile, suffix, suffixFile, contextSize, batchSize, flashAttention,
-    swaFullCache, threads, temperature, minP, topK, topP, seed, gpuLayers,
+    swaFullCache, threads, temperature, minP, topK, topP, seed, xtc, gpuLayers,
     lastTokensRepeatPenalty, repeatPenalty, penalizeRepeatingNewLine, repeatFrequencyPenalty, repeatPresencePenalty,
+    dryRepeatPenaltyStrength, dryRepeatPenaltyBase, dryRepeatPenaltyAllowedLength, dryRepeatPenaltyLastTokens,
     tokenPredictionDraftModel, tokenPredictionModelContextSize, maxTokens, debug, numa, meter, timing, noMmap, noDirectIo, printTimings
 }: InfillCommand) {
     if (contextSize === -1) contextSize = undefined;
@@ -525,6 +563,30 @@ async function RunInfill({
             show: !penalizeRepeatingNewLine,
             title: "Penalize repeating new line",
             value: "disabled"
+        }, {
+            show: dryRepeatPenaltyStrength != null && dryRepeatPenaltyStrength !== 0,
+            title: "DRY strength",
+            value: String(dryRepeatPenaltyStrength) + " (apply to " + (
+                dryRepeatPenaltyLastTokens === -1
+                    ? "the entire context sequence"
+                    : ("last " + dryRepeatPenaltyLastTokens + " tokens")
+            ) + ")"
+        }, {
+            show: dryRepeatPenaltyStrength != null && dryRepeatPenaltyStrength !== 0,
+            title: "DRY base",
+            value: String(dryRepeatPenaltyBase)
+        }, {
+            show: dryRepeatPenaltyStrength != null && dryRepeatPenaltyStrength !== 0,
+            title: "DRY allow length",
+            value: String(dryRepeatPenaltyAllowedLength)
+        }, {
+            show: xtc != null,
+            title: "XTC probability",
+            value: String(xtc?.probability)
+        }, {
+            show: xtc != null,
+            title: "XTC threshold",
+            value: String(xtc?.threshold)
         }, {
             show: timing,
             title: "Response timing",
@@ -606,6 +668,7 @@ async function RunInfill({
                 topK,
                 topP,
                 seed: seed ?? undefined,
+                xtc,
                 signal: abortController.signal,
                 repeatPenalty: {
                     penalty: repeatPenalty,
@@ -614,6 +677,14 @@ async function RunInfill({
                     penalizeNewLine: penalizeRepeatingNewLine,
                     lastTokens: lastTokensRepeatPenalty
                 },
+                dryRepeatPenalty: dryRepeatPenaltyStrength == null ? undefined : {
+                    strength: dryRepeatPenaltyStrength,
+                    base: dryRepeatPenaltyBase,
+                    allowedLength: dryRepeatPenaltyAllowedLength,
+                    lastTokens: dryRepeatPenaltyLastTokens === -1
+                        ? null
+                        : dryRepeatPenaltyLastTokens
+                },
                 maxTokens: maxTokens === -1
                     ? context.contextSize
                     : maxTokens <= 0
diff --git a/src/cli/utils/parseXtcArg.ts b/src/cli/utils/parseXtcArg.ts
new file mode 100644
index 00000000..24d4645f
--- /dev/null
+++ b/src/cli/utils/parseXtcArg.ts
@@ -0,0 +1,26 @@
+const xtcArgFormat = /^(\d+|\d*\.\d+),(\d*|\d?\.\d+)$/;
+
+export function parseXtcArg(xtcString?: string): ParsedXtcArg | undefined {
+    if (xtcString == null || xtcString === "")
+        return undefined;
+
+    const match = xtcString.match(xtcArgFormat);
+    if (match != null && match[1] != null && match[2] != null) {
+        const probability = parseFloat(match[1]);
+        const threshold = parseFloat(match[2]);
+
+        if (probability >= 0 && probability <= 1 && threshold >= 0 && threshold <= 1) {
+            return {probability, threshold};
+        }
+    }
+
+    throw new Error(
+        `Invalid xtc argument: ${xtcString}. ` +
+        'Expected format: "probability,threshold" where probability and threshold are numbers between 0 and 1.'
+    );
+}
+
+export type ParsedXtcArg = {
+    probability: number,
+    threshold: number
+};
diff --git a/src/evaluator/LlamaChat/LlamaChat.ts b/src/evaluator/LlamaChat/LlamaChat.ts
index 75b5ca93..059ed296 100644
--- a/src/evaluator/LlamaChat/LlamaChat.ts
+++ b/src/evaluator/LlamaChat/LlamaChat.ts
@@ -3,7 +3,8 @@ import {ChatWrapper} from "../../ChatWrapper.js";
 import {LlamaContextSequence} from "../LlamaContext/LlamaContext.js";
 import {
     ChatHistoryItem, ChatModelFunctions, ChatModelResponse, ChatModelSegmentType, ChatUserMessage, isChatModelResponseFunctionCall,
-    isChatModelResponseSegment, LLamaContextualRepeatPenalty, Token, Tokenizer, allSegmentTypes, ChatWrapperGeneratedContextState
+    isChatModelResponseSegment, LLamaContextualRepeatPenalty, Token, Tokenizer, allSegmentTypes, ChatWrapperGeneratedContextState,
+    LLamaContextualDryRepeatPenalty
 } from "../../types.js";
 import {GbnfJsonSchemaToType} from "../../utils/gbnfJson/types.js";
 import {LlamaGrammar} from "../LlamaGrammar.js";
@@ -243,6 +244,30 @@ export type LLamaChatGenerateResponseOptions<Functions extends ChatModelFunction
      */
     seed?: number,
 
+    /**
+     * Exclude Top Choices (XTC) removes the top tokens from consideration and avoids more obvious and repetitive generations.
+     * Using it leads to more creative responses, but also to increased hallucinations.
+     *
+     * The `probability` value controls the chance that the top tokens will be removed in the next token generation step.
+     * The `threshold` value control the minimum probability of a token for it to be removed.
+     *
+     * Start with `{probability: 0.5, threshold: 0.1}` and adjust from there.
+     *
+     * Disabled by default.
+     */
+    xtc?: {
+        /**
+         * A number between `0` and `1` representing the probability of applying Exclude Top Choices (XTC) at each token generation step.
+         */
+        probability: number,
+
+        /**
+         * A number between `0` and `1` representing the minimum probability
+         * of a token for it to be removed when applying Exclude Top Choices (XTC).
+         */
+        threshold: number
+    },
+
     /**
      * Trim whitespace from the end of the generated text
      *
@@ -252,6 +277,18 @@ export type LLamaChatGenerateResponseOptions<Functions extends ChatModelFunction
 
     repeatPenalty?: false | LLamaContextualRepeatPenalty,
 
+    /**
+     * DRY (Don't Repeat Yourself) penalty is a technique to reduce repetitions in the generated text
+     * by penalizing tokens based on recent token usage patterns.
+     *
+     * With the right parameters choice, it makes it impossible for the model to
+     * repeat itself verbatim with the same tokens in the same order (the model can still repeat itself by
+     * using different tokens or by paraphrasing, but that is far less of an issue than a broken-record looping).
+     *
+     * Disabled by default.
+     */
+    dryRepeatPenalty?: LLamaContextualDryRepeatPenalty,
+
     /**
      * Adjust the probability of tokens being generated.
      * Can be used to bias the model to generate tokens that you want it to lean towards,
@@ -392,8 +429,10 @@ export type LLamaChatLoadAndCompleteUserMessageOptions<Functions extends ChatMod
     topK?: LLamaChatGenerateResponseOptions<Functions>["topK"],
     topP?: LLamaChatGenerateResponseOptions<Functions>["topP"],
     seed?: LLamaChatGenerateResponseOptions<Functions>["seed"],
+    xtc?: LLamaChatGenerateResponseOptions<Functions>["xtc"],
     trimWhitespaceSuffix?: LLamaChatGenerateResponseOptions<Functions>["trimWhitespaceSuffix"],
     repeatPenalty?: LLamaChatGenerateResponseOptions<Functions>["repeatPenalty"],
+    dryRepeatPenalty?: LLamaChatGenerateResponseOptions<Functions>["dryRepeatPenalty"],
     tokenBias?: LLamaChatGenerateResponseOptions<Functions>["tokenBias"],
     evaluationPriority?: LLamaChatGenerateResponseOptions<Functions>["evaluationPriority"],
     contextShift?: LLamaChatGenerateResponseOptions<Functions>["contextShift"],
@@ -568,9 +607,11 @@ export class LlamaChat {
             topK,
             topP,
             seed,
+            xtc,
             grammar,
             trimWhitespaceSuffix = defaultTrimWhitespaceSuffix,
             repeatPenalty = {},
+            dryRepeatPenalty,
             tokenBias,
             evaluationPriority = defaultEvaluationPriority,
             functions,
@@ -607,9 +648,11 @@ export class LlamaChat {
                 topK,
                 topP,
                 seed,
+                xtc,
                 grammar: grammar as undefined, // this is a workaround to allow passing both `functions` and `grammar`
                 trimWhitespaceSuffix,
                 repeatPenalty,
+                dryRepeatPenalty,
                 tokenBias,
                 evaluationPriority,
                 functions,
@@ -769,9 +812,11 @@ export class LlamaChat {
             topK,
             topP,
             seed,
+            xtc,
             grammar,
             trimWhitespaceSuffix = defaultTrimWhitespaceSuffix,
             repeatPenalty = {},
+            dryRepeatPenalty,
             tokenBias,
             evaluationPriority = defaultEvaluationPriority,
             functions,
@@ -822,9 +867,11 @@ export class LlamaChat {
                 topK,
                 topP,
                 seed,
+                xtc,
                 grammar: grammar as undefined, // this is a workaround to allow passing both `functions` and `grammar`
                 trimWhitespaceSuffix,
                 repeatPenalty,
+                dryRepeatPenalty,
                 tokenBias,
                 evaluationPriority,
                 functions,
@@ -1623,6 +1670,7 @@ class GenerateResponseState<const Functions extends ChatModelFunctions | undefin
     private readonly topK: LLamaChatGenerateResponseOptions<Functions>["topK"];
     private readonly topP: LLamaChatGenerateResponseOptions<Functions>["topP"];
     private readonly seed: LLamaChatGenerateResponseOptions<Functions>["seed"];
+    private readonly xtc: LLamaChatGenerateResponseOptions<Functions>["xtc"];
     public readonly grammar: LLamaChatGenerateResponseOptions<Functions>["grammar"];
     private readonly trimWhitespaceSuffix: LLamaChatGenerateResponseOptions<Functions>["trimWhitespaceSuffix"];
     private readonly tokenBias: LLamaChatGenerateResponseOptions<Functions>["tokenBias"];
@@ -1642,6 +1690,7 @@ class GenerateResponseState<const Functions extends ChatModelFunctions | undefin
     private readonly resolvedRepeatPenalty: LLamaContextualRepeatPenalty & {
         lastTokens: number
     };
+    private readonly dryRepeatPenalty?: LLamaContextualDryRepeatPenalty;
     private readonly grammarEvaluationState: LlamaGrammarEvaluationState | undefined;
     private readonly functionNameGrammar?: FunctionCallNameGrammar<NonNullable<Functions>>;
     private functionsGrammar?: FunctionCallNameGrammar<NonNullable<Functions>> | FunctionCallParamsGrammar<NonNullable<Functions>>;
@@ -1739,9 +1788,11 @@ class GenerateResponseState<const Functions extends ChatModelFunctions | undefin
             topK,
             topP,
             seed,
+            xtc,
             grammar,
             trimWhitespaceSuffix = defaultTrimWhitespaceSuffix,
             repeatPenalty = {},
+            dryRepeatPenalty,
             tokenBias,
             evaluationPriority = defaultEvaluationPriority,
             functions,
@@ -1774,6 +1825,7 @@ class GenerateResponseState<const Functions extends ChatModelFunctions | undefin
         this.topK = topK;
         this.topP = topP;
         this.seed = seed;
+        this.xtc = xtc;
         this.grammar = grammar;
         this.trimWhitespaceSuffix = trimWhitespaceSuffix;
         this.tokenBias = tokenBias;
@@ -1810,6 +1862,7 @@ class GenerateResponseState<const Functions extends ChatModelFunctions | undefin
                 lastTokens: repeatPenalty?.lastTokens ?? defaultRepeatPenaltyLastTokens
             };
         this.repeatPenaltyEnabled = this.resolvedRepeatPenalty.lastTokens > 0;
+        this.dryRepeatPenalty = dryRepeatPenalty;
         this.grammarEvaluationState = this.grammar != null
             ? new LlamaGrammarEvaluationState({model: this.llamaChat.model, grammar: this.grammar})
             : undefined;
@@ -1830,16 +1883,21 @@ class GenerateResponseState<const Functions extends ChatModelFunctions | undefin
             StopGenerationDetector.resolveStopTriggers(this.grammar.stopGenerationTriggers, this.llamaChat.model.tokenizer)
                 .map((stopTrigger) => this.stopGenerationDetector.addStopTrigger(stopTrigger));
 
-        if (this.functions != null && Object.keys(this.functions).length > 0 && !this.abortOnNonText)
-            this.functionSyntaxStartDetector.addStopTrigger(
-                StopGenerationDetector.resolveLlamaTextTrigger(
-                    LlamaText([
-                        this.chatWrapper.settings.functions?.parallelism?.call?.sectionPrefix ?? "",
-                        this.chatWrapper.settings.functions.call.prefix
-                    ]),
-                    this.llamaChat.model.tokenizer
-                )
-            );
+        if (this.functions != null && Object.keys(this.functions).length > 0 && !this.abortOnNonText) {
+            for (const sectionPrefix of [
+                this.chatWrapper.settings.functions?.parallelism?.call?.sectionPrefix ?? "",
+                ...(this.chatWrapper.settings.functions?.parallelism?.call.sectionPrefixAlternateMatches ?? [])
+            ])
+                this.functionSyntaxStartDetector.addStopTrigger(
+                    StopGenerationDetector.resolveLlamaTextTrigger(
+                        LlamaText([
+                            sectionPrefix,
+                            this.chatWrapper.settings.functions.call.prefix
+                        ]),
+                        this.llamaChat.model.tokenizer
+                    )
+                );
+        }
 
         const segmentDefinitions: ConstructorParameters<typeof SegmentHandler>[0]["segmentDefinitions"] = new Map();
         for (const segmentType of allSegmentTypes) {
@@ -1864,15 +1922,19 @@ class GenerateResponseState<const Functions extends ChatModelFunctions | undefin
         });
 
         if (this.abortOnNonText) {
-            this.stopGenerationDetector.addStopTrigger(
-                StopGenerationDetector.resolveLlamaTextTrigger(
-                    LlamaText([
-                        this.chatWrapper.settings.functions?.parallelism?.call?.sectionPrefix ?? "",
-                        this.chatWrapper.settings.functions.call.prefix
-                    ]),
-                    this.llamaChat.model.tokenizer
-                )
-            );
+            for (const sectionPrefix of [
+                this.chatWrapper.settings.functions?.parallelism?.call?.sectionPrefix ?? "",
+                ...(this.chatWrapper.settings.functions?.parallelism?.call.sectionPrefixAlternateMatches ?? [])
+            ])
+                this.stopGenerationDetector.addStopTrigger(
+                    StopGenerationDetector.resolveLlamaTextTrigger(
+                        LlamaText([
+                            sectionPrefix,
+                            this.chatWrapper.settings.functions.call.prefix
+                        ]),
+                        this.llamaChat.model.tokenizer
+                    )
+                );
 
             for (const segmentType of allSegmentTypes) {
                 const segmentDefinition = getChatWrapperSegmentDefinition(this.chatWrapper.settings, segmentType);
@@ -3030,6 +3092,7 @@ class GenerateResponseState<const Functions extends ChatModelFunctions | undefin
             topK: this.topK,
             topP: this.topP,
             seed: this.seed,
+            xtc: this.xtc,
             grammarEvaluationState: () => {
                 if (this.functionEvaluationMode !== false)
                     return this.functionsEvaluationState;
@@ -3043,6 +3106,7 @@ class GenerateResponseState<const Functions extends ChatModelFunctions | undefin
                 frequencyPenalty: this.resolvedRepeatPenalty.frequencyPenalty,
                 presencePenalty: this.resolvedRepeatPenalty.presencePenalty
             },
+            dryRepeatPenalty: this.dryRepeatPenalty,
             tokenBias: this.tokenBias,
             evaluationPriority: this.evaluationPriority,
             yieldEogToken: true
diff --git a/src/evaluator/LlamaChatSession/LlamaChatSession.ts b/src/evaluator/LlamaChatSession/LlamaChatSession.ts
index 48c94d08..c831d379 100644
--- a/src/evaluator/LlamaChatSession/LlamaChatSession.ts
+++ b/src/evaluator/LlamaChatSession/LlamaChatSession.ts
@@ -171,6 +171,30 @@ export type LLamaChatPromptOptions<Functions extends ChatSessionModelFunctions |
      */
     seed?: number,
 
+    /**
+     * Exclude Top Choices (XTC) removes the top tokens from consideration and avoids more obvious and repetitive generations.
+     * Using it leads to more creative responses, but also to increased hallucinations.
+     *
+     * The `probability` value controls the chance that the top tokens will be removed in the next token generation step.
+     * The `threshold` value control the minimum probability of a token for it to be removed.
+     *
+     * Start with `{probability: 0.5, threshold: 0.1}` and adjust from there.
+     *
+     * Disabled by default.
+     */
+    xtc?: {
+        /**
+         * A number between `0` and `1` representing the probability of applying Exclude Top Choices (XTC) at each token generation step.
+         */
+        probability: number,
+
+        /**
+         * A number between `0` and `1` representing the minimum probability
+         * of a token for it to be removed when applying Exclude Top Choices (XTC).
+         */
+        threshold: number
+    },
+
     /**
      * Trim whitespace from the end of the generated text
      * Disabled by default.
@@ -192,6 +216,18 @@ export type LLamaChatPromptOptions<Functions extends ChatSessionModelFunctions |
 
     repeatPenalty?: false | LlamaChatSessionRepeatPenalty,
 
+    /**
+     * DRY (Don't Repeat Yourself) penalty is a technique to reduce repetitions in the generated text
+     * by penalizing tokens based on recent token usage patterns.
+     *
+     * With the right parameters choice, it makes it impossible for the model to
+     * repeat itself verbatim with the same tokens in the same order (the model can still repeat itself by
+     * using different tokens or by paraphrasing, but that is far less of an issue than a broken-record looping).
+     *
+     * Disabled by default.
+     */
+    dryRepeatPenalty?: LlamaChatSessionDryRepeatPenalty,
+
     /**
      * Adjust the probability of tokens being generated.
      * Can be used to bias the model to generate tokens that you want it to lean towards,
@@ -288,9 +324,11 @@ export type LLamaChatCompletePromptOptions = {
     topK?: LLamaChatPromptOptions["topK"],
     topP?: LLamaChatPromptOptions["topP"],
     seed?: LLamaChatPromptOptions["seed"],
+    xtc?: LLamaChatPromptOptions["xtc"],
     trimWhitespaceSuffix?: LLamaChatPromptOptions["trimWhitespaceSuffix"],
     evaluationPriority?: LLamaChatPromptOptions["evaluationPriority"],
     repeatPenalty?: LLamaChatPromptOptions["repeatPenalty"],
+    dryRepeatPenalty?: LLamaChatPromptOptions["dryRepeatPenalty"],
     tokenBias?: LLamaChatPromptOptions["tokenBias"],
     customStopTriggers?: LLamaChatPromptOptions["customStopTriggers"],
 
@@ -406,6 +444,57 @@ export type LlamaChatSessionRepeatPenalty = {
     presencePenalty?: number
 };
 
+export type LlamaChatSessionDryRepeatPenalty = {
+    /**
+     * A number between `0` and `1` representing the strength of the DRY (Don't Repeat Yourself) effect.
+     *
+     * Setting this to `0` will disable the DRY penalty completely.
+     *
+     * The recommended value is `0.8`.
+     */
+    strength: number,
+
+    /**
+     * The base value for the exponential penality calculation.
+     *
+     * A higher value will lead to more aggressive penalization of repetitions.
+     *
+     * Defaults to `1.75`.
+     */
+    base?: number,
+
+    /**
+     * The maximum sequence length (in tokens) that will be allowed to be repeated without being penalized.
+     *
+     * Repetitions shorter than or equal to this length will not be penalized,
+     * allowing for natural repetitions of short phrases and common words.
+     *
+     * Defaults to `2`.
+     */
+    allowedLength?: number,
+
+    /**
+     * Number of recent tokens generated by the model to consider for sequence repetition matching.
+     *
+     * When set to `null`, the entire context sequence history will be considered for repetition matching.
+     * Setting to `0` will disable DRY (Don't Repeat Yourself) penalty.
+     *
+     * Defaults to `null`.
+     */
+    lastTokens?: number | null,
+
+    /**
+     * Text sequences that will be considered as breakers for the repeated sequences.
+     * These will never be penalized for being repeated, and are used to mark the boundaries of the repeated sequences.
+     *
+     * For example, setting this to `["\n", "*"]` will allow the model to make as many lists as it wants,
+     * without being penalized for repeating the list item marker (like `*`).
+     *
+     * Defaults to `["\n", ":", '"', "*"]`.
+     */
+    sequenceBreakers?: string[]
+};
+
 const defaultCompleteAsModel = {
     enabled: "auto",
     appendedMessages: [
@@ -541,10 +630,12 @@ export class LlamaChatSession {
             topK,
             topP,
             seed,
+            xtc,
             grammar,
             trimWhitespaceSuffix = false,
             responsePrefix,
             repeatPenalty,
+            dryRepeatPenalty,
             tokenBias,
             customStopTriggers
         } = options;
@@ -558,8 +649,8 @@ export class LlamaChatSession {
             onFunctionCallParamsChunk: onFunctionCallParamsChunk as undefined,
 
             onTextChunk, onToken, onResponseChunk, budgets, signal, stopOnAbortSignal, maxTokens,
-            temperature, minP, topK, topP, seed,
-            trimWhitespaceSuffix, responsePrefix, repeatPenalty, tokenBias, customStopTriggers
+            temperature, minP, topK, topP, seed, xtc,
+            trimWhitespaceSuffix, responsePrefix, repeatPenalty, dryRepeatPenalty, tokenBias, customStopTriggers
         });
 
         return responseText;
@@ -586,10 +677,12 @@ export class LlamaChatSession {
         topK,
         topP,
         seed,
+        xtc,
         grammar,
         trimWhitespaceSuffix = false,
         responsePrefix,
         repeatPenalty,
+        dryRepeatPenalty,
         tokenBias,
         customStopTriggers,
         evaluationPriority
@@ -686,10 +779,12 @@ export class LlamaChatSession {
                         signal: abortController.signal,
                         stopOnAbortSignal,
                         repeatPenalty,
+                        dryRepeatPenalty,
                         minP,
                         topK,
                         topP,
                         seed,
+                        xtc,
                         tokenBias,
                         customStopTriggers,
                         maxTokens,
@@ -913,9 +1008,11 @@ export class LlamaChatSession {
         topK,
         topP,
         seed,
+        xtc,
         grammar,
         trimWhitespaceSuffix = false,
         repeatPenalty,
+        dryRepeatPenalty,
         tokenBias,
         customStopTriggers,
         evaluationPriority,
@@ -1012,10 +1109,12 @@ export class LlamaChatSession {
                             signal: abortController.signal,
                             stopOnAbortSignal: true,
                             repeatPenalty,
+                            dryRepeatPenalty,
                             minP,
                             topK,
                             topP,
                             seed,
+                            xtc,
                             tokenBias,
                             customStopTriggers,
                             maxTokens: maxTokens == null
@@ -1074,10 +1173,12 @@ export class LlamaChatSession {
                             signal: abortController.signal,
                             stopOnAbortSignal: true,
                             repeatPenalty,
+                            dryRepeatPenalty,
                             minP,
                             topK,
                             topP,
                             seed,
+                            xtc,
                             tokenBias,
                             customStopTriggers,
                             maxTokens,
diff --git a/src/evaluator/LlamaChatSession/utils/LlamaChatSessionPromptCompletionEngine.ts b/src/evaluator/LlamaChatSession/utils/LlamaChatSessionPromptCompletionEngine.ts
index c8191f19..222f0094 100644
--- a/src/evaluator/LlamaChatSession/utils/LlamaChatSessionPromptCompletionEngine.ts
+++ b/src/evaluator/LlamaChatSession/utils/LlamaChatSessionPromptCompletionEngine.ts
@@ -26,9 +26,11 @@ export type LLamaChatPromptCompletionEngineOptions = {
     topK?: LLamaChatCompletePromptOptions["topK"],
     topP?: LLamaChatCompletePromptOptions["topP"],
     seed?: LLamaChatCompletePromptOptions["seed"],
+    xtc?: LLamaChatCompletePromptOptions["xtc"],
     trimWhitespaceSuffix?: LLamaChatCompletePromptOptions["trimWhitespaceSuffix"],
     evaluationPriority?: LLamaChatCompletePromptOptions["evaluationPriority"],
     repeatPenalty?: LLamaChatCompletePromptOptions["repeatPenalty"],
+    dryRepeatPenalty?: LLamaChatCompletePromptOptions["dryRepeatPenalty"],
     tokenBias?: LLamaChatCompletePromptOptions["tokenBias"],
     customStopTriggers?: LLamaChatCompletePromptOptions["customStopTriggers"],
     grammar?: LLamaChatCompletePromptOptions["grammar"],
diff --git a/src/evaluator/LlamaCompletion.ts b/src/evaluator/LlamaCompletion.ts
index d17ed531..27c283df 100644
--- a/src/evaluator/LlamaCompletion.ts
+++ b/src/evaluator/LlamaCompletion.ts
@@ -1,5 +1,5 @@
 import {DisposeAggregator, DisposedError, EventRelay, withLock} from "lifecycle-utils";
-import {LLamaContextualRepeatPenalty, Token} from "../types.js";
+import {LLamaContextualDryRepeatPenalty, LLamaContextualRepeatPenalty, Token} from "../types.js";
 import {LlamaText} from "../utils/LlamaText.js";
 import {tokenizeInput} from "../utils/tokenizeInput.js";
 import {UnsupportedError} from "../utils/UnsupportedError.js";
@@ -120,6 +120,30 @@ export type LlamaCompletionGenerationOptions = {
      */
     seed?: number,
 
+    /**
+     * Exclude Top Choices (XTC) removes the top tokens from consideration and avoids more obvious and repetitive generations.
+     * Using it leads to more creative responses, but also to increased hallucinations.
+     *
+     * The `probability` value controls the chance that the top tokens will be removed in the next token generation step.
+     * The `threshold` value control the minimum probability of a token for it to be removed.
+     *
+     * Start with `{probability: 0.5, threshold: 0.1}` and adjust from there.
+     *
+     * Disabled by default.
+     */
+    xtc?: {
+        /**
+         * A number between `0` and `1` representing the probability of applying Exclude Top Choices (XTC) at each token generation step.
+         */
+        probability: number,
+
+        /**
+         * A number between `0` and `1` representing the minimum probability
+         * of a token for it to be removed when applying Exclude Top Choices (XTC).
+         */
+        threshold: number
+    },
+
     /**
      * Trim whitespace from the end of the generated text
      * Disabled by default.
@@ -128,6 +152,18 @@ export type LlamaCompletionGenerationOptions = {
 
     repeatPenalty?: false | LLamaContextualRepeatPenalty,
 
+    /**
+     * DRY (Don't Repeat Yourself) penalty is a technique to reduce repetitions in the generated text
+     * by penalizing tokens based on recent token usage patterns.
+     *
+     * With the right parameters choice, it makes it impossible for the model to
+     * repeat itself verbatim with the same tokens in the same order (the model can still repeat itself by
+     * using different tokens or by paraphrasing, but that is far less of an issue than a broken-record looping).
+     *
+     * Disabled by default.
+     */
+    dryRepeatPenalty?: LLamaContextualDryRepeatPenalty,
+
     /**
      * Adjust the probability of tokens being generated.
      * Can be used to bias the model to generate tokens that you want it to lean towards,
@@ -271,6 +307,7 @@ export class LlamaCompletion {
             topK,
             topP,
             seed,
+            xtc,
             trimWhitespaceSuffix = false,
             repeatPenalty = {},
             tokenBias,
@@ -359,6 +396,7 @@ export class LlamaCompletion {
                 topK,
                 topP,
                 seed,
+                xtc,
                 trimWhitespaceSuffix,
                 repeatPenalty,
                 tokenBias,
@@ -416,6 +454,7 @@ export class LlamaCompletion {
             topK,
             topP,
             seed,
+            xtc,
             trimWhitespaceSuffix = false,
             repeatPenalty = {},
             tokenBias,
@@ -560,6 +599,7 @@ export class LlamaCompletion {
                 topK,
                 topP,
                 seed,
+                xtc,
                 trimWhitespaceSuffix,
                 repeatPenalty,
                 tokenBias,
@@ -599,8 +639,10 @@ export class LlamaCompletion {
             topK,
             topP,
             seed,
+            xtc,
             trimWhitespaceSuffix = false,
             repeatPenalty = {},
+            dryRepeatPenalty,
             tokenBias,
             evaluationPriority = 5,
             grammar,
@@ -710,7 +752,7 @@ export class LlamaCompletion {
             }
 
             const evaluationIterator = sequence.evaluate(inputTokens, removeNullFields({
-                temperature, minP, topK, topP, seed,
+                temperature, minP, topK, topP, seed, xtc,
                 grammarEvaluationState,
                 repeatPenalty: !repeatPenaltyEnabled ? undefined : {
                     punishTokens: getPenaltyTokens,
@@ -719,6 +761,7 @@ export class LlamaCompletion {
                     frequencyPenalty,
                     presencePenalty
                 },
+                dryRepeatPenalty,
                 tokenBias,
                 evaluationPriority,
                 yieldEogToken: true
diff --git a/src/evaluator/LlamaContext/LlamaContext.ts b/src/evaluator/LlamaContext/LlamaContext.ts
index c1e669a5..c9649fb6 100644
--- a/src/evaluator/LlamaContext/LlamaContext.ts
+++ b/src/evaluator/LlamaContext/LlamaContext.ts
@@ -16,8 +16,8 @@ import {safeEventCallback} from "../../utils/safeEventCallback.js";
 import {GgufArchitectureType} from "../../gguf/types/GgufMetadataTypes.js";
 import {
     BatchingOptions, BatchItem, ContextShiftOptions, ContextTokensDeleteRange, ControlledEvaluateIndexOutput, ControlledEvaluateInputItem,
-    EvaluationPriority, LlamaContextOptions, LlamaContextSequenceRepeatPenalty, PrioritizedBatchItem, SequenceEvaluateMetadataOptions,
-    SequenceEvaluateOptions, SequenceEvaluateOutput
+    EvaluationPriority, LlamaContextOptions, LlamaContextSequenceDryRepeatPenalty, LlamaContextSequenceRepeatPenalty, PrioritizedBatchItem,
+    SequenceEvaluateMetadataOptions, SequenceEvaluateOptions, SequenceEvaluateOutput
 } from "./types.js";
 import {resolveBatchItemsPrioritizationStrategy} from "./utils/resolveBatchItemsPrioritizationStrategy.js";
 import {LlamaSampler} from "./LlamaSampler.js";
@@ -33,6 +33,7 @@ const defaultFailedCreationRemedy = {
     autoContextSizeShrink: 0.16
 } as const satisfies Required<LlamaContextOptions["failedCreationRemedy"]>;
 const defaultEvaluationPriority: EvaluationPriority = 5;
+const defaultDryRepeatPenalitySequenceBreakers = ["\n", ":", '"', "*"];
 
 const decodeSyncWorkaround = {
     vulkanLock: {}
@@ -98,15 +99,12 @@ export class LlamaContext {
         if (_model.disposed)
             throw new DisposedError();
 
-        const kvUnified = false;
         this._llama = _model._llama;
         this._model = _model;
         this._backendContextDisposeGuard = new DisposeGuard([this._model._backendModelDisposeGuard]);
         this._modelPreventDisposalHandle = this._model._backendModelDisposeGuard.createPreventDisposalHandle();
-        this._totalSequences = Math.max(1, Math.floor(sequences));
-        this._contextSize = kvUnified
-            ? Math.floor(padSafeContextSize(Math.max(2, contextSize) * this._totalSequences, "up") / this._totalSequences)
-            : padSafeContextSize(Math.max(2, contextSize), "up");
+        this._totalSequences = sequences;
+        this._contextSize = contextSize;
         this._batchSize = Math.max(batchSize, this._totalSequences);
         this._flashAttention = flashAttention;
         this._idealThreads = typeof threads === "number"
@@ -730,17 +728,26 @@ export class LlamaContext {
     }
 
     /** @internal */
-    private async _setLora({
-        filePath, scale
-    }: {
-        filePath: string, scale?: number
-    }) {
-        const lora = await this._model._getOrLoadLora(filePath);
-        this._ctx.setLora(lora, scale ?? defaultLoraScale);
+    private async _setLoras(loras: Array<{
+        filePath: string,
+        scale?: number
+    }>) {
+        const addonLoras: AddonModelLora[] = [];
+        const addonScales: number[] = [];
+
+        for (const {filePath, scale} of loras) {
+            const lora = await this._model._getOrLoadLora(filePath);
+            addonLoras.push(lora);
+            addonScales.push(scale ?? defaultLoraScale);
+        }
 
-        if (!this._loraAdapters.has(lora)) {
-            this._loraAdapters.add(lora);
-            lora.usages++;
+        this._ctx.setLoras(addonLoras, addonScales);
+
+        for (const addonLora of addonLoras) {
+            if (!this._loraAdapters.has(addonLora)) {
+                this._loraAdapters.add(addonLora);
+                addonLora.usages++;
+            }
         }
     }
 
@@ -780,7 +787,9 @@ export class LlamaContext {
     public static async _create(options: LlamaContextOptions, {_model}: {
         _model: LlamaModel
     }): Promise<LlamaContext> {
-        const sequences = options.sequences ?? getDefaultContextSequences();
+        const kvUnified = false;
+
+        const sequences = Math.max(1, Math.floor(options.sequences ?? getDefaultContextSequences()));
         const flashAttention = _model.flashAttentionSupported
             ? Boolean(options.flashAttention ?? _model.defaultContextFlashAttention)
             : false;
@@ -816,6 +825,13 @@ export class LlamaContext {
                     : shrinkRetriesMinContextSize;
         const {createSignal} = options;
 
+        const paddedContextSize = kvUnified
+            ? Math.floor(padSafeContextSize(Math.max(2, contextSize) * sequences, "up") / sequences)
+            : padSafeContextSize(Math.max(2, contextSize), "up");
+
+        if (contextSize <= _model.trainContextSize && paddedContextSize < _model.trainContextSize)
+            contextSize = paddedContextSize;
+
         async function createContext(contextSize: number) {
             const batchSize = options.batchSize ?? getDefaultContextBatchSize({contextSize, sequences});
             const resourceRequirementsEstimation = _model.fileInsights.estimateContextResourceRequirements({
@@ -854,30 +870,22 @@ export class LlamaContext {
                 contextCreationRamReservation?.dispose?.();
 
                 if (loraOptions != null && loraOptions.adapters.length > 0) {
-                    let loadedAdapters = 0;
+                    try {
+                        await context._setLoras(loraOptions.adapters);
 
-                    for (const adapter of loraOptions.adapters) {
                         try {
-                            await context._setLora({
-                                filePath: adapter.filePath,
-                                scale: adapter.scale
-                            });
-                            loadedAdapters++;
-
-                            try {
-                                loraOptions.onLoadProgress?.(loadedAdapters / loraOptions.adapters.length);
-                            } catch (err) {
-                                console.error(err);
-                            }
+                            loraOptions.onLoadProgress?.(1);
                         } catch (err) {
-                            await context.dispose();
-                            throw err;
+                            console.error(err);
                         }
+                    } catch (err) {
+                        await context.dispose();
+                        throw err;
+                    }
 
-                        if (createSignal?.aborted) {
-                            await context.dispose();
-                            throw createSignal.reason;
-                        }
+                    if (createSignal?.aborted) {
+                        await context.dispose();
+                        throw createSignal.reason;
                     }
                 } else if (loraOptions?.onLoadProgress != null) {
                     try {
@@ -1357,8 +1365,10 @@ export class LlamaContextSequence {
             topK = 40,
             topP = 0.95,
             seed,
+            xtc,
             grammarEvaluationState,
             repeatPenalty,
+            dryRepeatPenalty,
             tokenBias,
             evaluationPriority = defaultEvaluationPriority,
             contextShift: {
@@ -1377,8 +1387,10 @@ export class LlamaContextSequence {
                 topK,
                 topP,
                 seed,
+                xtc,
                 grammarEvaluationState,
                 repeatPenalty,
+                dryRepeatPenalty,
                 tokenBias,
                 evaluationPriority,
                 contextShiftOptions: {
@@ -1395,8 +1407,10 @@ export class LlamaContextSequence {
             topK,
             topP,
             seed,
+            xtc,
             grammarEvaluationState,
             repeatPenalty,
+            dryRepeatPenalty,
             tokenBias,
             evaluationPriority,
             contextShiftOptions: {
@@ -1577,7 +1591,9 @@ export class LlamaContextSequence {
                         topK: sampleOptions.topK,
                         topP: sampleOptions.topP,
                         seed: sampleOptions.seed,
+                        xtc: sampleOptions.xtc,
                         repeatPenalty: sampleOptions.repeatPenalty,
+                        dryRepeatPenalty: sampleOptions.dryRepeatPenalty,
                         tokenBias: sampleOptions.tokenBias
                     });
 
@@ -1713,8 +1729,10 @@ export class LlamaContextSequence {
         topK,
         topP,
         seed,
+        xtc,
         grammarEvaluationState,
         repeatPenalty,
+        dryRepeatPenalty,
         tokenBias,
         evaluationPriority = defaultEvaluationPriority,
         generateNewTokens = true,
@@ -1724,9 +1742,10 @@ export class LlamaContextSequence {
         _noSampling = false,
         _skipLock = false
     }: {
-        temperature?: number, minP?: number, topK?: number, topP?: number, seed?: number,
+        temperature?: number, minP?: number, topK?: number, topP?: number, seed?: number, xtc?: SequenceEvaluateOptions["xtc"],
         grammarEvaluationState?: LlamaGrammarEvaluationState | (() => LlamaGrammarEvaluationState | undefined),
-        repeatPenalty?: LlamaContextSequenceRepeatPenalty, tokenBias?: TokenBias | (() => TokenBias),
+        repeatPenalty?: LlamaContextSequenceRepeatPenalty, dryRepeatPenalty?: LlamaContextSequenceDryRepeatPenalty,
+        tokenBias?: TokenBias | (() => TokenBias),
         evaluationPriority?: EvaluationPriority, generateNewTokens?: boolean, contextShiftOptions: Required<ContextShiftOptions>,
         yieldEogToken?: boolean,
         _noSampling?: boolean,
@@ -1777,8 +1796,10 @@ export class LlamaContextSequence {
                                 topK,
                                 topP,
                                 seed,
+                                xtc,
                                 grammarEvaluationState,
                                 repeatPenalty,
+                                dryRepeatPenalty,
                                 tokenBias
                             });
 
@@ -1851,17 +1872,20 @@ export class LlamaContextSequence {
         topK,
         topP,
         seed,
+        xtc,
         grammarEvaluationState,
         repeatPenalty,
+        dryRepeatPenalty,
         tokenBias,
         evaluationPriority = defaultEvaluationPriority,
         contextShiftOptions,
         yieldEogToken = false,
         tokenPredictor
     }: {
-        temperature?: number, minP?: number, topK?: number, topP?: number, seed?: number,
+        temperature?: number, minP?: number, topK?: number, topP?: number, seed?: number, xtc?: SequenceEvaluateOptions["xtc"],
         grammarEvaluationState?: LlamaGrammarEvaluationState | (() => LlamaGrammarEvaluationState | undefined),
-        repeatPenalty?: LlamaContextSequenceRepeatPenalty, tokenBias?: TokenBias | (() => TokenBias),
+        repeatPenalty?: LlamaContextSequenceRepeatPenalty, dryRepeatPenalty?: LlamaContextSequenceDryRepeatPenalty,
+        tokenBias?: TokenBias | (() => TokenBias),
         evaluationPriority?: EvaluationPriority, contextShiftOptions: Required<ContextShiftOptions>,
         yieldEogToken?: boolean, tokenPredictor: TokenPredictor
     }): AsyncGenerator<SequenceEvaluateOutput<Metadata>, void, void | Token | Token[]> {
@@ -1939,10 +1963,12 @@ export class LlamaContextSequence {
                                 topK,
                                 topP,
                                 seed,
+                                xtc,
                                 grammarEvaluationState: grammarEvaluationState instanceof Function
                                     ? grammarEvaluationState()?.clone()
                                     : grammarEvaluationState?.clone(),
                                 repeatPenalty,
+                                dryRepeatPenalty,
                                 tokenBias,
                                 evaluationPriority,
                                 contextShift: contextShiftOptions,
@@ -2007,8 +2033,10 @@ export class LlamaContextSequence {
                                     topK,
                                     topP,
                                     seed,
+                                    xtc,
                                     grammarEvaluationState: resolvedGrammarEvaluationState,
                                     repeatPenalty,
+                                    dryRepeatPenalty,
                                     tokenBias
                                 });
 
@@ -2134,13 +2162,16 @@ export class LlamaContextSequence {
         topK = 40,
         topP = 0.95,
         seed,
+        xtc,
         grammarEvaluationState,
         repeatPenalty,
+        dryRepeatPenalty,
         tokenBias
     }: {
-        temperature?: number, minP?: number, topK?: number, topP?: number, seed?: number,
+        temperature?: number, minP?: number, topK?: number, topP?: number, seed?: number, xtc?: SequenceEvaluateOptions["xtc"],
         grammarEvaluationState?: LlamaGrammarEvaluationState | (() => LlamaGrammarEvaluationState | undefined),
-        repeatPenalty?: LlamaContextSequenceRepeatPenalty, tokenBias?: TokenBias | (() => TokenBias)
+        repeatPenalty?: LlamaContextSequenceRepeatPenalty, dryRepeatPenalty?: LlamaContextSequenceDryRepeatPenalty,
+        tokenBias?: TokenBias | (() => TokenBias)
     }) {
         const repeatPenaltyTokens = repeatPenalty?.punishTokens instanceof Function
             ? repeatPenalty.punishTokens()
@@ -2171,6 +2202,12 @@ export class LlamaContextSequence {
                     ? Math.floor(seed ?? (Date.now() / 1000))
                     : Math.floor(Date.now() / 1000)
             ),
+            xtcProbability: xtc == null
+                ? undefined
+                : Math.min(1, Math.max(0, xtc.probability)),
+            xtcThreshold: xtc == null
+                ? undefined
+                : Math.min(1, Math.max(0, xtc.threshold)),
             repeatPenalty: repeatPenalty?.penalty,
             repeatPenaltyMaxTokens: maxPunishTokens,
             repeatPenaltyTokens: repeatPenaltyTokens != null
@@ -2178,6 +2215,15 @@ export class LlamaContextSequence {
                 : undefined,
             repeatPenaltyPresencePenalty: repeatPenalty?.presencePenalty,
             repeatPenaltyFrequencyPenalty: repeatPenalty?.frequencyPenalty,
+            dryRepeatPenaltyStrength: (dryRepeatPenalty?.strength == null || dryRepeatPenalty?.strength === 0)
+                ? undefined
+                : Math.max(0, dryRepeatPenalty?.strength),
+            dryRepeatPenaltyBase: dryRepeatPenalty?.base,
+            dryRepeatPenaltyAllowedLength: Math.max(1, dryRepeatPenalty?.allowedLength ?? 2),
+            dryRepeatPenaltyLastTokens: dryRepeatPenalty?.lastTokens == null
+                ? -1
+                : Math.max(0, dryRepeatPenalty?.lastTokens),
+            dryRepeatPenaltySequenceBreakers: dryRepeatPenalty?.sequenceBreakers ?? defaultDryRepeatPenalitySequenceBreakers,
             tokenBiasKeys,
             tokenBiasValues,
             grammarEvaluationState: resolvedGrammarEvaluationState?._state
diff --git a/src/evaluator/LlamaContext/LlamaSampler.ts b/src/evaluator/LlamaContext/LlamaSampler.ts
index 6156bb36..db4e2491 100644
--- a/src/evaluator/LlamaContext/LlamaSampler.ts
+++ b/src/evaluator/LlamaContext/LlamaSampler.ts
@@ -8,6 +8,7 @@ import type {Llama} from "../../bindings/Llama.js";
 export class LlamaSampler {
     /** @internal */ public readonly _llama: Llama;
     /** @internal */ public readonly _sampler: AddonSampler;
+    /** @internal */ public _drySequenceBreakersRef?: WeakRef<string[]>;
     /** @internal */ public disposed: boolean = false;
 
     public constructor(model: LlamaModel) {
@@ -28,6 +29,15 @@ export class LlamaSampler {
     }
 
     public applyConfig(config: Parameters<AddonSampler["applyConfig"]>[0]) {
+        if (config.dryRepeatPenaltyStrength != null &&
+            config.dryRepeatPenaltySequenceBreakers != null && config.dryRepeatPenaltySequenceBreakers !== false
+        ) {
+            if (config.dryRepeatPenaltySequenceBreakers === this._drySequenceBreakersRef?.deref())
+                config.dryRepeatPenaltySequenceBreakers = false;
+            else
+                this._drySequenceBreakersRef = new WeakRef(config.dryRepeatPenaltySequenceBreakers);
+        }
+
         return this._sampler.applyConfig(config);
     }
 
diff --git a/src/evaluator/LlamaContext/tokenPredictors/DraftSequenceTokenPredictor.ts b/src/evaluator/LlamaContext/tokenPredictors/DraftSequenceTokenPredictor.ts
index 18ff71f7..73d7fa05 100644
--- a/src/evaluator/LlamaContext/tokenPredictors/DraftSequenceTokenPredictor.ts
+++ b/src/evaluator/LlamaContext/tokenPredictors/DraftSequenceTokenPredictor.ts
@@ -58,7 +58,7 @@ export class DraftSequenceTokenPredictor extends TokenPredictor {
          *
          * You can override any of the options for the prediction here.
          */
-        evaluateOptions?: Pick<SequenceEvaluateOptions, "temperature" | "minP" | "topK" | "topP" | "seed" | "repeatPenalty" | "tokenBias" | "evaluationPriority" | "contextShift">,
+        evaluateOptions?: Pick<SequenceEvaluateOptions, "temperature" | "minP" | "topK" | "topP" | "seed" | "xtc" | "repeatPenalty" | "dryRepeatPenalty" | "tokenBias" | "evaluationPriority" | "contextShift">,
 
         /**
          * Minimum token confidence (probability of the token to be generated, assigned by the model) to consider the token as a prediction.
diff --git a/src/evaluator/LlamaContext/types.ts b/src/evaluator/LlamaContext/types.ts
index 890f3af4..fad4c435 100644
--- a/src/evaluator/LlamaContext/types.ts
+++ b/src/evaluator/LlamaContext/types.ts
@@ -241,6 +241,56 @@ export type LlamaContextSequenceRepeatPenalty = {
      */
     presencePenalty?: number
 };
+export type LlamaContextSequenceDryRepeatPenalty = {
+    /**
+     * A number between `0` and `1` representing the strength of the DRY (Don't Repeat Yourself) effect.
+     *
+     * Setting this to `0` will disable the DRY penalty completely.
+     *
+     * The recommended value is `0.8`.
+     */
+    strength: number,
+
+    /**
+     * The base value for the exponential penality calculation.
+     *
+     * A higher value will lead to more aggressive penalization of repetitions.
+     *
+     * Defaults to `1.75`.
+     */
+    base?: number,
+
+    /**
+     * The maximum sequence length (in tokens) that will be allowed to be repeated without being penalized.
+     *
+     * Repetitions shorter than or equal to this length will not be penalized,
+     * allowing for natural repetitions of short phrases and common words.
+     *
+     * Defaults to `2`.
+     */
+    allowedLength?: number,
+
+    /**
+     * Number of recent tokens generated by the model to consider for sequence repetition matching.
+     *
+     * When set to `null`, the entire context sequence history will be considered for repetition matching.
+     * Setting to `0` will disable DRY (Don't Repeat Yourself) penalty.
+     *
+     * Defaults to `null`.
+     */
+    lastTokens?: number | null,
+
+    /**
+     * Text sequences that will be considered as breakers for the repeated sequences.
+     * These will never be penalized for being repeated, and are used to mark the boundaries of the repeated sequences.
+     *
+     * For example, setting this to `["\n", "*"]` will allow the model to make as many lists as it wants,
+     * without being penalized for repeating the list item marker (like `*`).
+     *
+     * Defaults to `["\n", ":", '"', "*"]`.
+     */
+    sequenceBreakers?: string[]
+};
 
 export type BatchingOptions = {
     /**
@@ -309,9 +359,46 @@ export type SequenceEvaluateOptions = {
      * Only relevant when using `temperature`.
      */
     seed?: number,
+
+    /**
+     * Exclude Top Choices (XTC) removes the top tokens from consideration and avoids more obvious and repetitive generations.
+     * Using it leads to more creative responses, but also to increased hallucinations.
+     *
+     * The `probability` value controls the chance that the top tokens will be removed in the next token generation step.
+     * The `threshold` value control the minimum probability of a token for it to be removed.
+     *
+     * Start with `{probability: 0.5, threshold: 0.1}` and adjust from there.
+     *
+     * Disabled by default.
+     */
+    xtc?: {
+        /**
+         * A number between `0` and `1` representing the probability of applying Exclude Top Choices (XTC) at each token generation step.
+         */
+        probability: number,
+
+        /**
+         * A number between `0` and `1` representing the minimum probability
+         * of a token for it to be removed when applying Exclude Top Choices (XTC).
+         */
+        threshold: number
+    },
+
     grammarEvaluationState?: LlamaGrammarEvaluationState | (() => LlamaGrammarEvaluationState | undefined),
     repeatPenalty?: LlamaContextSequenceRepeatPenalty,
 
+    /**
+     * DRY (Don't Repeat Yourself) penalty is a technique to reduce repetitions in the generated text
+     * by penalizing tokens based on recent token usage patterns.
+     *
+     * With the right parameters choice, it makes it impossible for the model to
+     * repeat itself verbatim with the same tokens in the same order (the model can still repeat itself by
+     * using different tokens or by paraphrasing, but that is far less of an issue than a broken-record looping).
+     *
+     * Disabled by default.
+     */
+    dryRepeatPenalty?: LlamaContextSequenceDryRepeatPenalty,
+
     /**
      * Adjust the probability of tokens being generated.
      * Can be used to bias the model to generate tokens that you want it to lean towards,
@@ -452,8 +539,46 @@ export type ControlledEvaluateInputItem = Token | [token: Token, options: {
              * Only relevant when using `temperature`.
              */
             seed?: number,
+
+            /**
+             * Exclude Top Choices (XTC) removes the top tokens from consideration and avoids more obvious and repetitive generations.
+             * Using it leads to more creative responses, but also to increased hallucinations.
+             *
+             * The `probability` value controls the chance that the top tokens will be removed in the next token generation step.
+             * The `threshold` value control the minimum probability of a token for it to be removed.
+             *
+             * Start with `{probability: 0.5, threshold: 0.1}` and adjust from there.
+             *
+             * Disabled by default.
+             */
+            xtc?: {
+                /**
+                 * A number between `0` and `1` representing the probability
+                 * of applying Exclude Top Choices (XTC) at each token generation step.
+                 */
+                probability: number,
+
+                /**
+                 * A number between `0` and `1` representing the minimum probability
+                 * of a token for it to be removed when applying Exclude Top Choices (XTC).
+                 */
+                threshold: number
+            },
+
             repeatPenalty?: LlamaContextSequenceRepeatPenalty,
 
+            /**
+             * DRY (Don't Repeat Yourself) penalty is a technique to reduce repetitions in the generated text
+             * by penalizing tokens based on recent token usage patterns.
+             *
+             * With the right parameters choice, it makes it impossible for the model to
+             * repeat itself verbatim with the same tokens in the same order (the model can still repeat itself by
+             * using different tokens or by paraphrasing, but that is far less of an issue than a broken-record looping).
+             *
+             * Disabled by default.
+             */
+            dryRepeatPenalty?: LlamaContextSequenceDryRepeatPenalty,
+
             /**
              * Adjust the probability of tokens being generated.
              * Can be used to bias the model to generate tokens that you want it to lean towards,
diff --git a/src/evaluator/LlamaModel/LlamaModel.ts b/src/evaluator/LlamaModel/LlamaModel.ts
index 7bce656a..24c84375 100644
--- a/src/evaluator/LlamaModel/LlamaModel.ts
+++ b/src/evaluator/LlamaModel/LlamaModel.ts
@@ -80,7 +80,7 @@ export type LlamaModelOptions = {
      * Direct I/O is a method of reading and writing data to and from the storage device directly to the application memory,
      * bypassing OS in-memory caches.
      *
-     * It leads to improved model loading times and reduced RAM usage,
+     * It can lead to improved model loading times and reduced RAM usage,
      * on the expense of higher loading times when the model unloaded and loaded again repeatedly in a short period of time.
      *
      * When this option is enabled, if Direct I/O is supported by the system (and for the given file)
@@ -88,7 +88,7 @@ export type LlamaModelOptions = {
      *
      * Unsupported on macOS.
      *
-     * Defaults to `true`.
+     * Defaults to `false`.
      */
     useDirectIo?: boolean,
 
@@ -166,7 +166,7 @@ export type LlamaModelOptions = {
 };
 
 const defaultUseMmap = true;
-const defaultUseDirectIo = true;
+const defaultUseDirectIo = false;
 const defaultContextFlashAttentionEnabled = false;
 const defaultContextSwaFullCache = false;
 
diff --git a/src/gguf/insights/GgufInsights.ts b/src/gguf/insights/GgufInsights.ts
index 0654ad83..f447a582 100644
--- a/src/gguf/insights/GgufInsights.ts
+++ b/src/gguf/insights/GgufInsights.ts
@@ -365,6 +365,9 @@ export class GgufInsights {
             if (this._ggufFileInfo.metadata.general?.architecture === GgufArchitectureType.phi3) {
                 // magic numbers for estimation. will be improved in the future
                 return (totalElements * 123 * (kvSize / 4096)) + defaultCalculationAdjustment;
+            } else if (this._ggufFileInfo.metadata.general?.architecture === GgufArchitectureType.cohere2) {
+                // magic numbers for estimation. will be improved in the future
+                return (totalElements * 148 * (kvSize / 4096)) + defaultCalculationAdjustment;
             }
 
             // magic numbers for estimation. will be improved in the future
diff --git a/src/gguf/types/GgufMetadataTypes.ts b/src/gguf/types/GgufMetadataTypes.ts
index b4d984d5..d8678400 100644
--- a/src/gguf/types/GgufMetadataTypes.ts
+++ b/src/gguf/types/GgufMetadataTypes.ts
@@ -29,6 +29,8 @@ export const enum GgufArchitectureType {
     qwen3next = "qwen3next",
     qwen3vl = "qwen3vl",
     qwen3vlmoe = "qwen3vlmoe",
+    qwen35 = "qwen35",
+    qwen35moe = "qwen35moe",
     phi2 = "phi2",
     phi3 = "phi3",
     phimoe = "phimoe",
@@ -64,6 +66,7 @@ export const enum GgufArchitectureType {
     chatglm = "chatglm",
     glm4 = "glm4",
     glm4moe = "glm4moe",
+    glmDsa = "glm-dsa",
     bitnet = "bitnet",
     t5 = "t5",
     t5encoder = "t5encoder",
@@ -73,6 +76,7 @@ export const enum GgufArchitectureType {
     nemotronHMoe = "nemotron_h_moe",
     exaone = "exaone",
     exaone4 = "exaone4",
+    exaoneMoe = "exaone-moe",
     rwkv6 = "rwkv6",
     rwkv6qwen2 = "rwkv6qwen2",
     rwkv7 = "rwkv7",
@@ -109,6 +113,7 @@ export const enum GgufArchitectureType {
     panguEmbedded = "pangu-embedded",
     mistral3 = "mistral3",
     mimo2 = "mimo2",
+    step35 = "step35",
     llamaEmbed = "llama-embed",
     maincoder = "maincoder",
     clip = "clip",
@@ -119,16 +124,17 @@ export type GgufMetadata<A extends GgufArchitectureType = GgufArchitectureType>
     readonly general: GgufMetadataGeneral<A>,
     readonly tokenizer: GgufMetadataTokenizer
 } & (
-    GgufArchitectureType extends A ? {
-        readonly [key in GgufArchitectureType]?: key extends keyof GgufMetadataLlmToType
-            ? GgufMetadataLlmToType[key]
-            : GgufMetadataDefaultArchitectureType
-    }
-    : {
-        readonly [key in A]: key extends keyof GgufMetadataLlmToType
-            ? GgufMetadataLlmToType[key]
-            : GgufMetadataDefaultArchitectureType
-    }
+    GgufArchitectureType extends A
+        ? {
+            readonly [key in GgufArchitectureType]?: key extends keyof GgufMetadataLlmToType
+                ? GgufMetadataLlmToType[key]
+                : GgufMetadataDefaultArchitectureType
+        }
+        : {
+            readonly [key in A]: key extends keyof GgufMetadataLlmToType
+                ? GgufMetadataLlmToType[key]
+                : GgufMetadataDefaultArchitectureType
+        }
 );
 
 
diff --git a/src/types.ts b/src/types.ts
index 0d243434..4d24d155 100644
--- a/src/types.ts
+++ b/src/types.ts
@@ -80,6 +80,13 @@ export type ChatWrapperSettings = {
         readonly parallelism?: {
             readonly call: {
                 readonly sectionPrefix: string | LlamaText,
+
+                /**
+                 * Alternate section prefixes that can be used to detect a function call section,
+                 * but won't be used to construct the context when building it from scratch.
+                 */
+                readonly sectionPrefixAlternateMatches?: Array<string | LlamaText>,
+
                 readonly betweenCalls?: string | LlamaText,
                 readonly sectionSuffix?: string | LlamaText
             },
@@ -419,3 +426,54 @@ export type LLamaContextualRepeatPenalty = {
      */
     presencePenalty?: number
 };
+
+export type LLamaContextualDryRepeatPenalty = {
+    /**
+     * A number between `0` and `1` representing the strength of the DRY (Don't Repeat Yourself) effect.
+     *
+     * Setting this to `0` will disable the DRY penalty completely.
+     *
+     * The recommended value is `0.8`.
+     */
+    strength: number,
+
+    /**
+     * The base value for the exponential penality calculation.
+     *
+     * A higher value will lead to more aggressive penalization of repetitions.
+     *
+     * Defaults to `1.75`.
+     */
+    base?: number,
+
+    /**
+     * The maximum sequence length (in tokens) that will be allowed to be repeated without being penalized.
+     *
+     * Repetitions shorter than or equal to this length will not be penalized,
+     * allowing for natural repetitions of short phrases and common words.
+     *
+     * Defaults to `2`.
+     */
+    allowedLength?: number,
+
+    /**
+     * Number of recent tokens generated by the model to consider for sequence repetition matching.
+     *
+     * When set to `null`, the entire context sequence history will be considered for repetition matching.
+     * Setting to `0` will disable DRY (Don't Repeat Yourself) penalty.
+     *
+     * Defaults to `null`.
+     */
+    lastTokens?: number | null,
+
+    /**
+     * Text sequences that will be considered as breakers for the repeated sequences.
+     * These will never be penalized for being repeated, and are used to mark the boundaries of the repeated sequences.
+     *
+     * For example, setting this to `["\n", "*"]` will allow the model to make as many lists as it wants,
+     * without being penalized for repeating the list item marker (like `*`).
+     *
+     * Defaults to `["\n", ":", '"', "*"]`.
+     */
+    sequenceBreakers?: string[]
+};
diff --git a/src/utils/cmake.ts b/src/utils/cmake.ts
index c6ca12b4..0155b627 100644
--- a/src/utils/cmake.ts
+++ b/src/utils/cmake.ts
@@ -41,9 +41,16 @@ export async function getCmakePath() {
     } catch (err) {}
 
     try {
-        let resolvedPath = await which("cmake", {
-            path: path.join(llamaDirectory, "xpack", "xpacks", ".bin")
-        });
+        let resolvedPath = (
+            await which("cmake", {
+                path: path.join(llamaDirectory, "xpack", "xpacks", ".bin"),
+                nothrow: true
+            })
+        ) || (
+            await which("cmake", {
+                path: path.join(llamaDirectory, "xpack", "xpacks", "@xpack-dev-tools", "cmake", ".content", "bin")
+            })
+        );
 
         if (resolvedPath.toLowerCase().endsWith(".cmd"))
             resolvedPath = (await getBinFromWindowCmd(resolvedPath, "cmake.exe")) ?? "";
diff --git a/src/utils/gbnfJson/types.ts b/src/utils/gbnfJson/types.ts
index 76900755..12d7193a 100644
--- a/src/utils/gbnfJson/types.ts
+++ b/src/utils/gbnfJson/types.ts
@@ -198,25 +198,25 @@ export type GbnfJsonSchemaToTSType<T, Defs extends GbnfJsonDefList<NoInfer<Defs>
         ? undefined
         : undefined extends T
             ? undefined
-        : T extends GbnfJsonBasicStringSchema
-            ? GbnfJsonBasicStringSchemaToType<T>
-            : T extends GbnfJsonFormatStringSchema
-                ? string
-                : T extends GbnfJsonBasicSchema
-                    ? GbnfJsonBasicSchemaToType<T["type"]>
-                    : T extends GbnfJsonConstSchema
-                        ? T["const"]
-                        : T extends GbnfJsonEnumSchema
-                            ? T["enum"][number]
-                            : T extends GbnfJsonOneOfSchema<Record<any, any>>
-                                ? GbnfJsonSchemaToTSType<T["oneOf"][number], CombineDefs<NoInfer<Defs>, T["$defs"]>>
-                                : T extends GbnfJsonObjectSchema<string, Record<any, any>>
-                                    ? GbnfJsonObjectSchemaToType<T, NoInfer<Defs>>
-                                    : T extends GbnfJsonArraySchema<Record<any, any>>
-                                        ? ArrayTypeToType<T, CombineDefs<NoInfer<Defs>, T["$defs"]>>
-                                        : T extends GbnfJsonRefSchema<any>
-                                            ? GbnfJsonRefSchemaToType<T, CombineDefs<NoInfer<Defs>, T["$defs"]>>
-                                            : undefined;
+            : T extends GbnfJsonBasicStringSchema
+                ? GbnfJsonBasicStringSchemaToType<T>
+                : T extends GbnfJsonFormatStringSchema
+                    ? string
+                    : T extends GbnfJsonBasicSchema
+                        ? GbnfJsonBasicSchemaToType<T["type"]>
+                        : T extends GbnfJsonConstSchema
+                            ? T["const"]
+                            : T extends GbnfJsonEnumSchema
+                                ? T["enum"][number]
+                                : T extends GbnfJsonOneOfSchema<Record<any, any>>
+                                    ? GbnfJsonSchemaToTSType<T["oneOf"][number], CombineDefs<NoInfer<Defs>, T["$defs"]>>
+                                    : T extends GbnfJsonObjectSchema<string, Record<any, any>>
+                                        ? GbnfJsonObjectSchemaToType<T, NoInfer<Defs>>
+                                        : T extends GbnfJsonArraySchema<Record<any, any>>
+                                            ? ArrayTypeToType<T, CombineDefs<NoInfer<Defs>, T["$defs"]>>
+                                            : T extends GbnfJsonRefSchema<any>
+                                                ? GbnfJsonRefSchemaToType<T, CombineDefs<NoInfer<Defs>, T["$defs"]>>
+                                                : undefined;
 
 type GbnfJsonBasicStringSchemaToType<T extends GbnfJsonBasicStringSchema> =
     T["maxLength"] extends 0
@@ -291,7 +291,7 @@ type ArrayTypeToType<
                                     GbnfJsonSchemaToTSType<T["items"], CombineDefs<Defs, T["$defs"]>>
                                 >
                                 : IndexRangeWithSkip<T["maxItems"], T["prefixItems"]["length"], GbnfJsonAnyValue>
-                            )
+                        )
                     ]
                     : [
                         ...GbnfJsonOrderedArrayTypes<T["prefixItems"], CombineDefs<Defs, T["$defs"]>>,
diff --git a/src/utils/mergeUnionTypes.ts b/src/utils/mergeUnionTypes.ts
index b1094eb1..55fe6d70 100644
--- a/src/utils/mergeUnionTypes.ts
+++ b/src/utils/mergeUnionTypes.ts
@@ -2,9 +2,9 @@ type UnionToIntersection<U> = (
     U extends any
         ? ((k: U) => void)
         : never
-    ) extends ((k: infer I) => void)
-        ? I
-        : never;
+) extends ((k: infer I) => void)
+    ? I
+    : never;
 
 type DistributeUnion<U> = {
     [K in keyof U]: U[K]
diff --git a/templates/electron-typescript-react/electron/utils/createElectronSideBirpc.ts b/templates/electron-typescript-react/electron/utils/createElectronSideBirpc.ts
index 72998928..4d417eb2 100644
--- a/templates/electron-typescript-react/electron/utils/createElectronSideBirpc.ts
+++ b/templates/electron-typescript-react/electron/utils/createElectronSideBirpc.ts
@@ -2,7 +2,7 @@ import {BrowserWindow, ipcMain} from "electron";
 import {createBirpc} from "birpc";
 
 export function createElectronSideBirpc<
-    const RendererFunction = Record<string, never>,
+    const RendererFunction extends object = Record<string, never>,
     const ElectronFunctions extends object = Record<string, never>
 >(
     toRendererEventName: string,
diff --git a/templates/electron-typescript-react/eslint.config.js b/templates/electron-typescript-react/eslint.config.js
index 4c307152..55aac1bb 100644
--- a/templates/electron-typescript-react/eslint.config.js
+++ b/templates/electron-typescript-react/eslint.config.js
@@ -6,14 +6,15 @@ import reactRefresh from "eslint-plugin-react-refresh";
 import tseslint from "typescript-eslint";
 import stylistic from "@stylistic/eslint-plugin";
 import pluginReactHooks from "eslint-plugin-react-hooks";
+import {defineConfig} from "eslint/config";
 
 
-export default tseslint.config({
+export default defineConfig({
     ignores: ["dist/", "dist-electron/", "release/", "models/"]
 }, {
     files: ["**/**.{,c,m}{js,ts}{,x}"],
     extends: [
-        stylistic.configs["recommended-flat"],
+        stylistic.configs["recommended"],
         jsdoc.configs["flat/recommended"],
         importPlugin.flatConfigs.recommended
     ],
@@ -40,7 +41,7 @@ export default tseslint.config({
         }
     },
     rules: {
-        "@stylistic/indent": ["off"],
+        "@stylistic/indent": ["warn", 4],
         "indent": ["warn", 4, {
             SwitchCase: 1,
             FunctionDeclaration: {
@@ -59,7 +60,8 @@ export default tseslint.config({
             args: "none",
             ignoreRestSiblings: true,
             varsIgnorePattern: "^set",
-            caughtErrors: "none"
+            caughtErrors: "none",
+            ignoreUsingDeclarations: true
         }],
         "@stylistic/no-prototype-builtins": ["off"],
         "@stylistic/object-curly-spacing": ["warn", "never"],
@@ -155,7 +157,8 @@ export default tseslint.config({
             args: "none",
             ignoreRestSiblings: true,
             varsIgnorePattern: "^set",
-            caughtErrors: "none"
+            caughtErrors: "none",
+            ignoreUsingDeclarations: true
         }],
         "@typescript-eslint/no-empty-object-type": ["off"],
         "@typescript-eslint/member-ordering": ["warn", {
diff --git a/templates/electron-typescript-react/package.json b/templates/electron-typescript-react/package.json
index bc09c612..ffed2b7a 100644
--- a/templates/electron-typescript-react/package.json
+++ b/templates/electron-typescript-react/package.json
@@ -23,47 +23,42 @@
     "clean": "rm -rf ./node_modules ./dist ./dist-electron ./release ./models"
   },
   "dependencies": {
-    "@fontsource-variable/inter": "^5.2.5",
-    "birpc": "^2.3.0",
+    "@fontsource-variable/inter": "^5.2.8",
+    "birpc": "^4.0.0",
     "classnames": "^2.5.1",
     "highlight.js": "^11.11.1",
-    "lifecycle-utils": "^3.0.1",
-    "markdown-it": "^14.1.0",
+    "lifecycle-utils": "^3.1.1",
+    "markdown-it": "^14.1.1",
     "node-llama-cpp": "file:../..",
-    "pretty-ms": "^9.2.0",
-    "react": "^19.1.0",
-    "react-dom": "^19.1.0",
+    "pretty-ms": "^9.3.0",
+    "react": "^19.2.4",
+    "react-dom": "^19.2.4",
     "semver": "^7.7.1"
   },
   "devDependencies": {
-    "@stylistic/eslint-plugin": "^4.2.0",
+    "@eslint/compat": "^2.0.2",
+    "@stylistic/eslint-plugin": "^5.8.0",
     "@types/markdown-it": "^14.1.2",
-    "@types/react": "^19.1.3",
-    "@types/react-dom": "^19.1.3",
-    "@types/semver": "^7.7.0",
-    "@vitejs/plugin-react": "^4.4.1",
-    "cross-env": "^10.0.0",
-    "electron": "^36.2.0",
-    "electron-builder": "^26.0.12",
-    "eslint": "^9.26.0",
-    "eslint-import-resolver-typescript": "^4.3.4",
-    "eslint-plugin-import": "^2.31.0",
-    "eslint-plugin-jsdoc": "^50.6.11",
-    "eslint-plugin-react-hooks": "^5.2.0",
-    "eslint-plugin-react-refresh": "^0.4.20",
-    "rimraf": "^6.0.1",
-    "typescript": "^5.8.3",
-    "typescript-eslint": "^8.32.0",
-    "vite": "^6.3.5",
+    "@types/react": "^19.2.14",
+    "@types/react-dom": "^19.2.3",
+    "@types/semver": "^7.7.1",
+    "@vitejs/plugin-react": "^5.1.4",
+    "cross-env": "^10.1.0",
+    "electron": "^40.4.1",
+    "electron-builder": "^26.7.0",
+    "eslint": "^9.39.2",
+    "eslint-import-resolver-typescript": "^4.4.4",
+    "eslint-plugin-import": "^2.32.0",
+    "eslint-plugin-jsdoc": "^62.5.5",
+    "eslint-plugin-n": "^17.24.0",
+    "eslint-plugin-react-hooks": "^7.0.1",
+    "eslint-plugin-react-refresh": "^0.5.0",
+    "rimraf": "^6.1.3",
+    "typescript": "^5.9.3",
+    "typescript-eslint": "^8.56.0",
+    "vite": "^7.3.1",
     "vite-plugin-electron": "^0.29.0",
     "vite-plugin-electron-renderer": "^0.14.6",
-    "zx": "^8.5.3"
-  },
-  "overrides": {
-    "electron-builder": {
-      "read-config-file": {
-        "config-file-ts": ">=0.2.8-rc1"
-      }
-    }
+    "zx": "^8.8.5"
   }
 }
diff --git a/templates/electron-typescript-react/src/App/components/ChatHistory/components/ModelMessage/components/ModelMessageCopyButton/ModelMessageCopyButton.tsx b/templates/electron-typescript-react/src/App/components/ChatHistory/components/ModelMessage/components/ModelMessageCopyButton/ModelMessageCopyButton.tsx
index 3ccfdf0c..89322ca6 100644
--- a/templates/electron-typescript-react/src/App/components/ChatHistory/components/ModelMessage/components/ModelMessageCopyButton/ModelMessageCopyButton.tsx
+++ b/templates/electron-typescript-react/src/App/components/ChatHistory/components/ModelMessage/components/ModelMessageCopyButton/ModelMessageCopyButton.tsx
@@ -20,10 +20,10 @@ export function ModelMessageCopyButton({modelMessage}: ModelMessageCopyButtonPro
 
         navigator.clipboard.writeText(text)
             .then(() => {
-                setCopies(copies + 1);
+                setCopies((copies) => copies + 1);
 
                 setTimeout(() => {
-                    setCopies(copies - 1);
+                    setCopies((copies) => copies - 1);
                 }, showCopiedTime);
             })
             .catch((error) => {
diff --git a/templates/electron-typescript-react/src/App/components/Header/components/UpdateBadge.tsx b/templates/electron-typescript-react/src/App/components/Header/components/UpdateBadge.tsx
index 9d978cf5..2d400e52 100644
--- a/templates/electron-typescript-react/src/App/components/Header/components/UpdateBadge.tsx
+++ b/templates/electron-typescript-react/src/App/components/Header/components/UpdateBadge.tsx
@@ -23,7 +23,7 @@ export function UpdateBadge({appVersion, canShowCurrentVersion}: UpdateBadgeProp
         return componenets?.includes("beta") ?? false;
     }, [appVersion]);
 
-    const updateLatestVersionInfo = useCallback(async () => {
+    const updateLatestVersionInfo = useCallback(async function updateLatestVersionInfo() {
         clearTimeout(nextUpdateTimeoutRef.current);
         await withLock([instanceLock.current, "updateVersion"], async () => {
             clearTimeout(nextUpdateTimeoutRef.current);
diff --git a/templates/electron-typescript-react/src/App/components/InputRow/InputRow.css b/templates/electron-typescript-react/src/App/components/InputRow/InputRow.css
index 9453ade4..04cfdb59 100644
--- a/templates/electron-typescript-react/src/App/components/InputRow/InputRow.css
+++ b/templates/electron-typescript-react/src/App/components/InputRow/InputRow.css
@@ -49,7 +49,6 @@
                 padding: calc((var(--min-height) - 1lh) / 2) 24px;
                 background-color: transparent;
                 font: inherit;
-                align-content: center;
                 align-self: stretch;
                 color: var(--panel-text-color);
                 z-index: 2;
diff --git a/templates/electron-typescript-react/src/utils/createRendererSideBirpc.ts b/templates/electron-typescript-react/src/utils/createRendererSideBirpc.ts
index 2d308e57..2d11a417 100644
--- a/templates/electron-typescript-react/src/utils/createRendererSideBirpc.ts
+++ b/templates/electron-typescript-react/src/utils/createRendererSideBirpc.ts
@@ -1,7 +1,7 @@
 import {createBirpc} from "birpc";
 
 export function createRendererSideBirpc<
-    const ElectronFunction = Record<string, never>,
+    const ElectronFunction extends object = Record<string, never>,
     const RendererFunctions extends object = Record<string, never>
 >(
     toRendererEventName: string,
diff --git a/templates/node-typescript/eslint.config.js b/templates/node-typescript/eslint.config.js
index 1dfcc9fc..7f94b897 100644
--- a/templates/node-typescript/eslint.config.js
+++ b/templates/node-typescript/eslint.config.js
@@ -5,14 +5,15 @@ import jsdoc from "eslint-plugin-jsdoc";
 import n from "eslint-plugin-n";
 import tseslint from "typescript-eslint";
 import stylistic from "@stylistic/eslint-plugin";
+import {defineConfig} from "eslint/config";
 
 
-export default tseslint.config({
+export default defineConfig({
     ignores: ["dist/", "models/"]
 }, {
     files: ["**/**.{,c,m}{js,ts}"],
     extends: [
-        stylistic.configs["recommended-flat"],
+        stylistic.configs["recommended"],
         jsdoc.configs["flat/recommended"],
         importPlugin.flatConfigs.recommended
     ],
@@ -42,7 +43,7 @@ export default tseslint.config({
         }
     },
     rules: {
-        "@stylistic/indent": ["off"],
+        "@stylistic/indent": ["warn", 4],
         "indent": ["warn", 4, {
             SwitchCase: 1,
             FunctionDeclaration: {
@@ -61,7 +62,8 @@ export default tseslint.config({
             args: "none",
             ignoreRestSiblings: true,
             varsIgnorePattern: "^set",
-            caughtErrors: "none"
+            caughtErrors: "none",
+            ignoreUsingDeclarations: true
         }],
         "@stylistic/no-prototype-builtins": ["off"],
         "@stylistic/object-curly-spacing": ["warn", "never"],
@@ -153,7 +155,8 @@ export default tseslint.config({
             args: "none",
             ignoreRestSiblings: true,
             varsIgnorePattern: "^set",
-            caughtErrors: "none"
+            caughtErrors: "none",
+            ignoreUsingDeclarations: true
         }],
         "@typescript-eslint/no-empty-object-type": ["off"],
         "@typescript-eslint/member-ordering": ["warn", {
diff --git a/templates/node-typescript/package.json b/templates/node-typescript/package.json
index f90101e8..970883be 100644
--- a/templates/node-typescript/package.json
+++ b/templates/node-typescript/package.json
@@ -34,21 +34,22 @@
     "clean": "rm -rf ./node_modules ./dist ./tsconfig.tsbuildinfo ./models"
   },
   "dependencies": {
-    "chalk": "^5.4.1",
+    "chalk": "^5.6.2",
     "node-llama-cpp": "file:../.."
   },
   "devDependencies": {
-    "@stylistic/eslint-plugin": "^4.2.0",
-    "@types/node": "^22.15.17",
-    "eslint": "^9.26.0",
-    "eslint-import-resolver-typescript": "^4.3.4",
-    "eslint-plugin-import": "^2.31.0",
-    "eslint-plugin-jsdoc": "^50.6.11",
-    "eslint-plugin-n": "^17.17.0",
-    "rimraf": "^6.0.1",
+    "@eslint/compat": "^2.0.2",
+    "@stylistic/eslint-plugin": "^5.8.0",
+    "@types/node": "^22.19.11",
+    "eslint": "^9.39.2",
+    "eslint-import-resolver-typescript": "^4.4.4",
+    "eslint-plugin-import": "^2.32.0",
+    "eslint-plugin-jsdoc": "^62.5.5",
+    "eslint-plugin-n": "^17.24.0",
+    "rimraf": "^6.1.3",
     "tslib": "^2.8.1",
-    "typescript": "^5.8.3",
-    "typescript-eslint": "^8.32.0",
-    "vite-node": "^3.1.3"
+    "typescript": "^5.9.3",
+    "typescript-eslint": "^8.56.0",
+    "vite-node": "^5.3.0"
   }
 }
diff --git a/test/modelDependent/functionary/functionaryModelGpuLayersOptions.test.ts b/test/modelDependent/functionary/functionaryModelGpuLayersOptions.test.ts
index 43beff4a..07ebb3c0 100644
--- a/test/modelDependent/functionary/functionaryModelGpuLayersOptions.test.ts
+++ b/test/modelDependent/functionary/functionaryModelGpuLayersOptions.test.ts
@@ -1479,8 +1479,8 @@ describe("functionary", () => {
                             totalRam: s1GB * 8,
                             freeRam: s1GB * 8
                         });
-                        expect(res.gpuLayers).to.toMatchInlineSnapshot("22");
-                        expect(res.contextSize).to.toMatchInlineSnapshot("5376");
+                        expect(res.gpuLayers).to.toMatchInlineSnapshot("21");
+                        expect(res.contextSize).to.toMatchInlineSnapshot("6656");
                         expect(res.contextSize).to.be.gte(contextSize);
                     }
                     {
diff --git a/test/modelDependent/qwen3-0.6b/functions.test.ts b/test/modelDependent/qwen3-0.6b/functions.test.ts
index 46bd9f2f..8f866b8a 100644
--- a/test/modelDependent/qwen3-0.6b/functions.test.ts
+++ b/test/modelDependent/qwen3-0.6b/functions.test.ts
@@ -99,7 +99,7 @@ describe("qwen3 0.6b", () => {
                 }
             } as const;
 
-            const res = await chatSession.prompt("What is the second word? No yapping, no formatting", {
+            const res = await chatSession.prompt("What is the second word? No yapping, no formatting, use the function", {
                 ...promptOptions,
                 maxTokens: 250,
                 budgets: {
diff --git a/test/standalone/chatWrappers/generic/JinjaTemplateChatWrapper.test.ts b/test/standalone/chatWrappers/generic/JinjaTemplateChatWrapper.test.ts
index d09c4405..0658e6af 100644
--- a/test/standalone/chatWrappers/generic/JinjaTemplateChatWrapper.test.ts
+++ b/test/standalone/chatWrappers/generic/JinjaTemplateChatWrapper.test.ts
@@ -1055,6 +1055,7 @@ describe("JinjaTemplateChatWrapper", () => {
                     "sectionPrefix": LlamaText([
                       new SpecialTokensText("[TOOL_CALLS]["),
                     ]),
+                    "sectionPrefixAlternateMatches": undefined,
                     "sectionSuffix": LlamaText([
                       new SpecialTokensText("]"),
                       new SpecialToken("EOS"),
@@ -1134,6 +1135,7 @@ describe("JinjaTemplateChatWrapper", () => {
                     "sectionPrefix": LlamaText([
                       new SpecialTokensText("[TOOL_CALLS]["),
                     ]),
+                    "sectionPrefixAlternateMatches": undefined,
                     "sectionSuffix": LlamaText([
                       new SpecialTokensText("]"),
                       new SpecialToken("EOS"),
@@ -1216,6 +1218,7 @@ describe("JinjaTemplateChatWrapper", () => {
                     "sectionPrefix": LlamaText([
                       new SpecialTokensText("[TOOL_CALLS]["),
                     ]),
+                    "sectionPrefixAlternateMatches": undefined,
                     "sectionSuffix": LlamaText([
                       new SpecialTokensText("]"),
                       new SpecialToken("EOS"),
diff --git a/vitest.config.ts b/vitest.config.ts
index c419ee64..25f4367f 100644
--- a/vitest.config.ts
+++ b/vitest.config.ts
@@ -8,28 +8,20 @@ export default defineConfig({
         ],
         pool: "forks",
         maxWorkers: 1,
-        minWorkers: 1,
         maxConcurrency: 1,
-        poolOptions: {
-            forks: {
-                minForks: 1,
-                maxForks: 1,
-                singleFork: true
-
-                // uncomment for profiling
-                // execArgv: [
-                //     "--cpu-prof",
-                //     "--cpu-prof-dir=test-runner-profile",
-                //     "--heap-prof",
-                //     "--heap-prof-dir=test-runner-profile"
-                // ]
-            }
-        },
         snapshotSerializers: [
             "./test/utils/helpers/llamaTextSerializer.ts",
             "./test/utils/helpers/SpecialTokensTextSerializer.ts",
             "./test/utils/helpers/SpecialTokenSerializer.ts"
         ],
         setupFiles: ["./test/utils/helpers/testSetup.ts"]
+
+        // uncomment for profiling
+        // execArgv: [
+        //     "--cpu-prof",
+        //     "--cpu-prof-dir=test-runner-profile",
+        //     "--heap-prof",
+        //     "--heap-prof-dir=test-runner-profile"
+        // ]
     }
 });