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README.md

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## News
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🔥🔥🔥 [2024/05/20] We released **MFTCoder v0.4.2**, mainly for MFTCoder-accelerate. It supports **QLoRA + DeepSpeed Zero3** and **QLoRA + FSDP** as options allowing you training very large models. It now supports new models like Qwen2, Qwen2-MoE, Starcoder2, Gemma, etc.
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🔥🔥🔥 [2024/05/20] Our [MFTCoder Paper](https://arxiv.org/abs/2311.02303) has been accepted by KDD2024.
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🔥🔥🔥 [2024/05/20] Our paper [MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning](https://arxiv.org/abs/2311.02303) has been accepted by KDD2024.
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🔥🔥🔥 [2024/05/20] [CodeFuse-StarCoder2-15B](https://huggingface.co/codefuse-ai/CodeFuse-StarCoder2-15B) has been released, achieving a pass@1 (greedy decoding) score of 73.2% on HumanEval.
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## Articles
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[MFT Arxiv paper](https://arxiv.org/abs/2311.02303)
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[MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning (KDD2024)](https://arxiv.org/abs/2311.02303)
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## Introduction
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README_cn.md

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## 新闻
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🔥🔥🔥 [2024/05/20] **MFTCoder-v0.4.2**发布。新增支持**QLoRA+ DeepSpeed Zero3**, **QLoRA + FSDP**训练模式,可以更好的支持微调更大的模型,比如Qwen1.5-70B等。新增对Qwen2, Qwen2-MoE, Starcoder2, Gemma等模型的支持。
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🔥🔥🔥 [2024/05/20] 我们的 [MFTCoder论文](https://arxiv.org/abs/2311.02303) 已被 KDD 2024 接收.
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🔥🔥🔥 [2024/05/20] 我们的论文 [MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning](https://arxiv.org/abs/2311.02303) 已被 KDD 2024 接收.
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🔥🔥🔥 开源了[CodeFuse-StarCoder2-15B](https://huggingface.co/codefuse-ai/CodeFuse-StarCoder2-15B)模型,在HumanEval上可以达到73.2%,多代码语言能力均衡.
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