Update README.md

add release link and r1 v3 detail

README.md

@@ -140,7 +140,7 @@ Some preparation:
    pip install ktransformers --no-build-isolation
    ```
    
-   for windows we prepare a pre compiled whl package in [ktransformers-0.1.1+cu125torch24avx2-cp311-cp311-win_amd64.whl](https://github.com/kvcache-ai/ktransformers/releases/download/v0.1.1/ktransformers-0.1.1+cu125torch24avx2-cp311-cp311-win_amd64.whl), which require cuda-12.5, torch-2.4, python-3.11, more pre compiled package are being produced. 
+   for windows we prepare a pre compiled whl package in [ktransformers-0.1.1+cu125torch24avx2-cp311-cp311-win_amd64.whl](https://github.com/kvcache-ai/ktransformers/releases/tag/v0.2.0), which require cuda-12.5, torch-2.4, python-3.11, more pre compiled package are being produced. 
 
 3. Or you can download source code and compile:
    
@@ -213,6 +213,8 @@ It features the following arguments:
 
 | Model Name                     | Model Size | VRAM  | Minimum DRAM    | Recommended DRAM  |
 | ------------------------------ | ---------- | ----- | --------------- | ----------------- |
+| DeepSeek-R1-q4_k_m		 | 377G       | 14G   | 382G            | 512G		    |
+| DeepSeek-V3-q4_k_m		 | 377G       | 14G   | 382G            | 512G		    |
 | DeepSeek-V2-q4_k_m             | 133G       | 11G   | 136G            | 192G              |
 | DeepSeek-V2.5-q4_k_m           | 133G       | 11G   | 136G            | 192G              |
 | DeepSeek-V2.5-IQ4_XS           | 117G       | 10G   | 107G            | 128G              |