Comments (1)
We don't have the training code released. There are many publically available LLM training frameworks.
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Related Issues (20)
- 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
- Optimizing the bwd pass of Mamba 2 HOT 3
- Question about d_state. HOT 1
- Understanding about the selective scan HOT 2
- ModuleNotFoundError: No module named 'mamba_ssm.ops.triton.ssd_combined
- ERROR: Failed building wheel for mamba-ssm
- Issue about the FLOPs of selective scan
- Chunked inference
- Datasets error
- OSError: We couldn't connect to 'https://huggingface.co' to load this file, couldn't find it in the cached files and it looks like state-spaces is not the path to a directory containing a file named config.json. Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'.
- Mamba.__init__() got an unexpected keyword argument 'layer_idx'
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