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README.md
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README.md
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<p align="center">
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<picture>
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<img alt="DeepSeek-Coder-V2 Score" src="https://github.com/user-attachments/assets/9fa710bf-1389-46b7-b9d2-3f67b98bd7a6" width=50%>
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<img alt="KTransformers" src="https://github.com/user-attachments/assets/a1ec04fc-10bb-4fcf-b0fe-cd55071e3423" width=50%>
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</picture>
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</p>
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@ -25,16 +26,14 @@ Our vision for KTransformers is to serve as a flexible platform for experimentin
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<h2 id="show-cases">🔥 Show Cases</h2>
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<h3>GPT-4-level Local VSCode Copilot on a Desktop with only 24GB VRAM</h3>
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<p align="center">
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https://github.com/user-attachments/assets/3f85780e-aa53-4d2f-91b2-5585c8dade85
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https://github.com/user-attachments/assets/38ee32c7-4280-4563-b068-78181f9c3694
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</p>
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- **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).
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<p align="center">
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<picture>
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<img alt="DeepSeek-Coder-V2 Score" src="https://github.com/user-attachments/assets/81efb94f-f859-4413-b6e0-d986508ad667" width=80%>
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<img alt="DeepSeek-Coder-V2 Score" src="https://github.com/user-attachments/assets/6adb26bd-719a-4b77-9513-8e1b4e79b52b" width=80%>
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</picture>
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</p>
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@ -42,9 +41,8 @@ Our vision for KTransformers is to serve as a flexible platform for experimentin
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- **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.
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<p align="center">
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<!-- <img alt="Tabby integration" src="https://XXXX.png" width=55%> -->
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https://github.com/user-attachments/assets/e6e27cb3-8372-44e6-8f1f-34402eae56c1
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https://github.com/user-attachments/assets/4cf59f33-8f67-4806-a5c0-540e49bb8305
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</p>
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