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## News
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🔥 [2023-09-27] CodeFuse-StarCoder-15B has been released, achieving a pass@1 (greedy decoding) score of 54.9% on HumanEval.
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🔥🔥 [2023-09-27] [CodeFuse-StarCoder-15B](https://huggingface.co/codefuse-ai/CodeFuse-StarCoder-15B) has been released, achieving a pass@1 (greedy decoding) score of 54.9% on HumanEval.
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🔥🔥🔥 [2023/09/26]We are pleased to announce the release of the 4-bit quantized version of CodeFuse-CodeLlama-34B. Despite the quantization process, the model still achieves a remarkable 73.8% accuracy (greedy decoding) on the HumanEval pass@1 metric.
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🔥🔥🔥 [2023/09/26]We are pleased to announce the release of the [4-bit quantized version of CodeFuse-CodeLlama-34B](https://huggingface.co/codefuse-ai/CodeFuse-CodeLlama-34B-4bits). Despite the quantization process, the model still achieves a remarkable 73.8% accuracy (greedy decoding) on the HumanEval pass@1 metric.
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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).
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🔥 [2023/08/26]We released MFTCoder which supports finetuning Code Llama, Llama, Llama2, StarCoder, ChatGLM2, CodeGeeX2, Qwen, and GPT-NeoX models with LoRA/QLoRA.
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🔥🔥 [2023/08/26]We released MFTCoder which supports finetuning Code Llama, Llama, Llama2, StarCoder, ChatGLM2, CodeGeeX2, Qwen, and GPT-NeoX models with LoRA/QLoRA.
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### HumanEval Performance
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| Model | HumanEval(Pass@1) | Date |

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