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Update README.md #38

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6 changes: 3 additions & 3 deletions README.md
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## News
🔥🔥 [2024/01/17] We released MFTCoder v0.3.0, mainly for MFTCoder-accelerate. It now supports new models like Mixtral(MoE), DeepSeek-coder, chatglm3. It supports FSDP as an option. It also supports Self-paced Loss as a solution for convergence balance in Multitask Fine-tuning.

🔥🔥 [2024/01/17] [CodeFuse-DeepSeek-33B](https://huggingface.co/codefuse-ai/CodeFuse-DeepSeek-33B) has been released, achieving a pass@1 (greedy decoding) score of 78.7% on HumanEval. It achieves top1 win-rate on Bigcode Leardboard.
🔥🔥 [2024/01/17] [CodeFuse-DeepSeek-33B](https://huggingface.co/codefuse-ai/CodeFuse-DeepSeek-33B) has been released, achieving a pass@1 (greedy decoding) score of 78.7% on HumanEval. It lists as top-1 LLM on Bigcode Leardboard in terms of win-rate.

🔥🔥 [2024/01/17] [CodeFuse-Mixtral-8x7B](https://huggingface.co/codefuse-ai/CodeFuse-Mixtral-8X7B) has been released, achieving a pass@1 (greedy decoding) score of 56.1% on HumanEval.

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🔥🔥🔥 [2023/09/07]We released **CodeFuse-CodeLlama-34B**, which achieves the **74.4% Python Pass@1** (greedy decoding) and surpasses GPT4 (2023/03/15) and ChatGPT-3.5 on the [HumanEval Benchmarks](https://github.com/openai/human-eval).

🔥🔥 [2023/08/26]We released MFTCoder which supports finetuning Code Llama, Llama, Llama2, StarCoder, ChatGLM2, CodeGeeX2, Qwen, and GPT-NeoX models with LoRA/QLoRA.
🔥🔥 [2023/08/26]We released MFTCoder-v0.1 which supports finetuning Code Llama, Llama, Llama2, StarCoder, ChatGLM2, CodeGeeX2, Qwen, and GPT-NeoX models with LoRA/QLoRA.

### HumanEval Performance
| Model | HumanEval(Pass@1) | Date |
|:----------------------------|:-----------------:|:-------:|
| **CodeFuse-DeepSeek-33B** | **78.7%** | 2024/01 |
| **CodeFuse-Mixtral-8x7B** | **56.1%** | 2024/01 |
| **CodeFuse-CodeLlama-34B** | **74.4%** | 2023/09 |
| **CodeFuse-CodeLlama-34B-4bits** | **73.8%** | 2023/09 |
| WizardCoder-Python-34B-V1.0 | 73.2% | 2023/08 |
| GPT-4(zero-shot) | 67.0% | 2023/03 |
| PanGu-Coder2 15B | 61.6% | 2023/08 |
| **CodeFuse-Mixtral-8x7B** | **56.1%** | 2024/01 |
| **CodeFuse-StarCoder-15B** | **54.9%** | 2023/08 |
| CodeLlama-34b-Python | 53.7% | 2023/08 |
| **CodeFuse-QWen-14B** | **48.8%** | 2023/10 |
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