Comments (5)
If it's consistently called "Mamba SSM", there's no problem! But the name of this repo, its readme, and the announcement all just use Mamba, so I'd bet lots of people will try to "pip install mamba".
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To be fair! The official Python name of this package is mamba_ssm
https://pypi.org/project/mamba-ssm/
So I think we're good from a pip and conda perspective!
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Seems like Gemini can't tell the two projects apart (see the generated github link)
From: https://twitter.com/mvpatel2000/status/1732496433318592842
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Indeed, mamba
is reserved on PyPi for yet a different mamba: https://pypi.org/project/mamba/
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There also is a Llama2 fine tune called mamba: https://huggingface.co/CobraMamba
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Related Issues (20)
- RuntimeError: CUDA error: unknown error
- How to calculate Flops for mamba_chunk_scan_combined and mamba_split_conv1d_scan_combined function HOT 1
- Replace mamba1 with mamba2 and training becomes very slow! HOT 2
- Implement a "crossmamba" block for different length sequences HOT 3
- How to use sequence parallelism in Mamba2?
- Changing expansion_factor resulted in 'c10::DistBackendError HOT 1
- Mamba for encoder-decoder HOT 2
- mamba_split_conv1d_scan_combined error HOT 1
- torch.cuda.amp.custom_fwd(args...) Deprecated
- Is it possible to get ssm_states at specific seq len instead of just the last state? HOT 1
- How to modify mambaV2 to set causal=False? HOT 3
- Reducing _chunk_scan_bwd_kernel computation HOT 4
- Exploding gradients if ngroups is higher than 1. HOT 3
- clarification on how to interpret kernel size for conv1d HOT 1
- Some questions about the shape of A,B,C,D HOT 5
- How can I avoid using causal-conv1d? HOT 11
- Is it okay to put S6(MAMBA) and gated MLP blocks like a transformer? (Also please open the discussion tab)
- Vanishing gradient problem with more layer HOT 1
- Results vary greatly across experiments
- Gradient explosion in Mamba2 training, norm and loss divergence HOT 3
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