chore(model gallery): 🤖 add 1 new models via gallery agent

gallery/index.yaml

@@ -3328,7 +3328,7 @@
     - gemma3
     - gemma-3
   overrides:
     #mmproj: gemma-3-27b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-27b-it-Q4_K_M.gguf
   files:
@@ -3346,7 +3346,7 @@
   description: |
     google/gemma-3-12b-it is an open-source, state-of-the-art, lightweight, multimodal model built from the same research and technology used to create the Gemini models. It is capable of handling text and image input and generating text output. It has a large context window of 128K tokens and supports over 140 languages. The 12B variant has been fine-tuned using the instruction-tuning approach. Gemma 3 models are suitable for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes them deployable in environments with limited resources such as laptops, desktops, or your own cloud infrastructure.
   overrides:
     #mmproj: gemma-3-12b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-12b-it-Q4_K_M.gguf
   files:
@@ -3364,7 +3364,7 @@
   description: |
     Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned variants. Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions. Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as laptops, desktops or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone. Gemma-3-4b-it is a 4 billion parameter model.
   overrides:
     #mmproj: gemma-3-4b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-4b-it-Q4_K_M.gguf
   files:
@@ -6982,7 +6982,7 @@
       sha256: 2756551de7d8ff7093c2c5eec1cd00f1868bc128433af53f5a8d434091d4eb5a
       uri: huggingface://Triangle104/Nano_Imp_1B-Q8_0-GGUF/nano_imp_1b-q8_0.gguf
 - &qwen25
   name: "qwen2.5-14b-instruct" ## Qwen2.5
   icon: https://avatars.githubusercontent.com/u/141221163
   url: "github:mudler/LocalAI/gallery/chatml.yaml@master"
   license: apache-2.0
@@ -23172,3 +23172,30 @@
     - filename: Maenad-70B.i1-Q4_K_M.gguf
       sha256: dd5615ba1ab4ce2a3614afd547e0457fc14c7182de0d2e5f80d84323ee53ec1f
       uri: huggingface://mradermacher/Maenad-70B-i1-GGUF/Maenad-70B.i1-Q4_K_M.gguf
+- !!merge <<: *qwen3
+  name: "llama-3.2-1b-instruct"
+  urls:
+    - https://huggingface.co/ss-lab/Llama-3.2-1B-Instruct-GGUF
+  description: |
+    The model in question is a **quantized version** of the original Meta Llama 3.2-1B-Instruct base model, formatted in the **GGUF** (Generic GPT-Uniform Format) for efficient inference. It is fine-tuned on the **Alpaca-cleaned** dataset and optimized for **text generation** tasks. While the GGUF format reduces computational requirements, the underlying architecture retains the original 1B-parameter Llama 3.2 instruction-following capabilities. Licensed under MIT, this model is compatible with tools like **llama.cpp** and **unsloth** for deployment and customization. It is well-suited for applications requiring lightweight, efficient large language model inference.
+  overrides:
+    parameters:
+      model: llama-cpp/models/Llama-3.2-1B-Instruct-Q8_0.gguf
+    name: Llama-3.2-1B-Instruct-GGUF
+    backend: llama-cpp
+    template:
+      use_tokenizer_template: true
+    known_usecases:
+    - chat
+    function:
+      grammar:
+        disable: true
+    description: Imported from https://huggingface.co/ss-lab/Llama-3.2-1B-Instruct-GGUF
+    options:
+    - use_jinja:true
+
+  files:
+    - filename: llama-cpp/models/Llama-3.2-1B-Instruct-Q8_0.gguf
+      sha256: 57509b8e23ceea808f3d3ef5951c2a379d3512ca95688d63be64967a8c27772f
+      uri: https://huggingface.co/ss-lab/Llama-3.2-1B-Instruct-GGUF/resolve/main/Llama-3.2-1B-Instruct-Q8_0.gguf
+