RYDE-WORK/ktransformers
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Merge pull request #7 from kvcache-ai/james0zan-patch-1

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Mingxing Zhang 2024-07-27 23:12:59 +08:00 committed by GitHub
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README.md
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@ -3,7 +3,8 @@
<p align="center"> <p align="center">
<picture> <picture>
<img alt="DeepSeek-Coder-V2 Score" src="https://github.com/user-attachments/assets/9fa710bf-1389-46b7-b9d2-3f67b98bd7a6" width=50%> <img alt="KTransformers" src="https://github.com/user-attachments/assets/a1ec04fc-10bb-4fcf-b0fe-cd55071e3423" width=50%>
</picture> </picture>
</p> </p>
@ -25,16 +26,14 @@ Our vision for KTransformers is to serve as a flexible platform for experimentin
<h2 id="show-cases">🔥 Show Cases</h2> <h2 id="show-cases">🔥 Show Cases</h2>
<h3>GPT-4-level Local VSCode Copilot on a Desktop with only 24GB VRAM</h3> <h3>GPT-4-level Local VSCode Copilot on a Desktop with only 24GB VRAM</h3>
<p align="center"> <p align="center">
https://github.com/user-attachments/assets/38ee32c7-4280-4563-b068-78181f9c3694
https://github.com/user-attachments/assets/3f85780e-aa53-4d2f-91b2-5585c8dade85
</p> </p>
- **Local 236B DeepSeek-Coder-V2:** Running its Q4_K_M version using only 21GB VRAM and 136GB DRAM, attainable on a local desktop machine, which scores even better than GPT4-0613 in [BigCodeBench](https://huggingface.co/blog/leaderboard-bigcodebench). - **Local 236B DeepSeek-Coder-V2:** Running its Q4_K_M version using only 21GB VRAM and 136GB DRAM, attainable on a local desktop machine, which scores even better than GPT4-0613 in [BigCodeBench](https://huggingface.co/blog/leaderboard-bigcodebench).
<p align="center"> <p align="center">
<picture> <picture>
<img alt="DeepSeek-Coder-V2 Score" src="https://github.com/user-attachments/assets/81efb94f-f859-4413-b6e0-d986508ad667" width=80%> <img alt="DeepSeek-Coder-V2 Score" src="https://github.com/user-attachments/assets/6adb26bd-719a-4b77-9513-8e1b4e79b52b" width=80%>
</picture> </picture>
</p> </p>
@ -42,9 +41,8 @@ Our vision for KTransformers is to serve as a flexible platform for experimentin
- **VSCode Integration:** Wrapped into an OpenAI and Ollama compatible API for seamless integration as a backend for [Tabby](https://github.com/TabbyML/tabby) and various other frontends. - **VSCode Integration:** Wrapped into an OpenAI and Ollama compatible API for seamless integration as a backend for [Tabby](https://github.com/TabbyML/tabby) and various other frontends.
<p align="center"> <p align="center">
<!-- <img alt="Tabby integration" src="https://XXXX.png" width=55%> -->
https://github.com/user-attachments/assets/e6e27cb3-8372-44e6-8f1f-34402eae56c1 https://github.com/user-attachments/assets/4cf59f33-8f67-4806-a5c0-540e49bb8305
</p> </p>