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@MayankMish98

We identified an issue with the Mamba-2 ๐Ÿ initialization in HuggingFace and FlashLinearAttention repository (dt_bias being incorrectly initialized). This bug is related to 2 main issues: 1. init being incorrect (torch.ones) if Mamba-2 layers are used in isolation without the Mamba2ForCausalLM model class (this has been already fixed: https://t.co/oahfxjIsKb). 2. Skipping initialization due to meta device init for DTensors with FSDP-2 (https://t.co/hLC8nnQFc3 will fix this issue upon merging). The difference is substantial. Mamba-2 seems to be quite sensitive to the initialization. Check out our experiments at the 7B MoE scale: https://t.co/n8iuUICRux Special thanks to @kevinyli_, @bharatrunwal2, @HanGuo97, @tri_dao and @_albertgu ๐Ÿ™ Also thanks to @SonglinYang4 for quickly helping in merging the PR.

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  "text": "We identified an issue with the Mamba-2 ๐Ÿ initialization in HuggingFace and FlashLinearAttention repository (dt_bias being incorrectly initialized).\n\nThis bug is related to 2 main issues:\n1. init being incorrect (torch.ones) if Mamba-2 layers are used in isolation without the Mamba2ForCausalLM model class (this has been already fixed: https://t.co/oahfxjIsKb).\n2. Skipping initialization due to meta device init for DTensors with FSDP-2 (https://t.co/hLC8nnQFc3 will fix this issue upon merging).\n\nThe difference is substantial. Mamba-2 seems to be quite sensitive to the initialization.\nCheck out our experiments at the 7B MoE scale: https://t.co/n8iuUICRux\n\nSpecial thanks to @kevinyli_, @bharatrunwal2, @HanGuo97, @tri_dao and @_albertgu ๐Ÿ™\n\nAlso thanks to @SonglinYang4 for quickly helping in merging the PR.",
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