update readme

Author: WendyH1108

README.md

@@ -1,9 +1,6 @@
 # SnapKV
 We introduce an innovative and out-of-box KV cache compression method, SnapKV.
 
-![Comprehensive Experiment Results on LongBench](./figures/longbench.jpg)
-![Pressure Test Result on Needle-in-a-Haystack](./figures/LWM-Text-Chat-1M_SnapKV.jpg)
-
 ## Quick Start
 ### Use SnapKV-optimized Models
 SnapKV-optimized models are all under models file, which could be directly imported and used the same like baseline models.
@@ -27,5 +24,7 @@ tokenizer = transformers.AutoTokenizer.from_pretrained(
 ### Customize Your SnapKV-optimized Models
 SnapKV can be easily integrate with other models. You can follow the comment marked with `[SnapKV]` in [existing models](./models) to constrcut your own models. The detailed algorithm of SnapKV is in [snapkv_utils.py](./snapkv_utils.py)
 
-## Motivation
-The observations and motivations behind SnapKV could be found at [observation folder](./observations)
+
+## Results
+![Comprehensive Experiment Results on LongBench](./figures/longbench.jpg)
+![Pressure Test Result on Needle-in-a-Haystack](./figures/LWM-Text-Chat-1M_SnapKV.jpg)