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Merge pull request#62 from codefuse-ai/v0.4.dev

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`48`	`48`	`##News`
`49`		`-🔥🔥🔥[2024/05/20] We releasedMFTCoder v0.4.2, mainly for MFTCoder-accelerate. It supportsQLoRA + DeepSpeed Zero3 andQLoRA + FSDP as options allowing you training very large models. It now supports new models like Qwen2, Qwen2-MoE, Starcoder2, Gemma, etc.`
	`49`	`+🔥🔥🔥[2024/05/20] We releasedMFTCoder v0.4, mainly for MFTCoder-accelerate. It supportsQLoRA + DeepSpeed Zero3 andQLoRA + 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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`51`	`51`	`🔥🔥🔥[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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`47`	`47`	`##新闻`
`48`		`-🔥🔥🔥[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。`
	`48`	`+🔥🔥🔥[2024/05/20]MFTCoder-v0.4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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`50`	`50`	`🔥🔥🔥[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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