Comments (5)
jbednar
commented on July 24, 2024
3
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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mcg1969
commented on July 24, 2024
2
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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josejg
commented on July 24, 2024
2
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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mcg1969
commented on July 24, 2024
Indeed, mamba is reserved on PyPi for yet a different mamba: https://pypi.org/project/mamba/
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trap20
commented on July 24, 2024
There also is a Llama2 fine tune called mamba: https://huggingface.co/CobraMamba
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Related Issues (20)
- Building wheel for mamba-ssm (setup.py) ... error HOT 5
- using ssm_state and conv_state during training HOT 6
- nnUNet environment variables are redefined? HOT 1
- Segmentation Fault HOT 1
- Is it running autoregressively? HOT 2
- _layer_norm_fwd_1pass_kernel error HOT 7
- RuntimeError: CUDA error: no kernel image is available for execution on the device on 3xP40 HOT 1
- Question about finetuning
- Code for training Transformer++ HOT 1
- Any suggestions for regularization? HOT 2
- does forward/eval from a trained mamba model require cuda as well? HOT 5
- Question about throughput HOT 4
- Direct Throughput Comparison to RetNet ? HOT 2
- WARNING HOT 4
- Question about cuda speedup HOT 3
- Does Mamba use any matrix multiplication? HOT 2
- Mamba is deeper but narrower than typical models of the same size HOT 2
- selective_scan_cuda HOT 3
- Packaging module missing when installing HOT 2
- Bidirectional model? HOT 1
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