Comments (2)
No we mostly compared with Transformers.
from mamba.
I see. The results seem incredible for comparison to Transformers. Would also be great to know how it compares to RetNet in the future.
from mamba.
Related Issues (20)
- Building wheel for mamba-ssm (setup.py) ... error HOT 5
- using ssm_state and conv_state during training HOT 10
- 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 5
- Question about finetuning
- Code for training Transformer++ HOT 1
- Any suggestions for regularization? HOT 8
- does forward/eval from a trained mamba model require cuda as well? HOT 5
- Question about throughput HOT 5
- 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 27
- Packaging module missing when installing HOT 2
- Bidirectional model? HOT 1
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from mamba.