mamba/mamba_ssm/modules/mamba2_simple.py at main · state-spaces/mamba
github.com · 1,750 words · saved by 1 readers
We read every piece of feedback, and take your input very seriously. To see all available qualifiers, see our documentation.
mamba/mamba_ssm/modules/mamba2_simple.py at main · state-spaces/mamba · GitHub Skip to content You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} Uh oh! There was an error while loading. Please reload this page . state-spaces / mamba Public Notifications You must be signed in to change notification settings Fork 1.8k Star 18.6k Files Expand file tree main / mamba2_simple.py Copy path Blame Mor
related reading
- mamba/mamba_ssm/ops/triton/ssd_combined.py at 62db608da60f6fc790b8ed9f4b3225e95ca15fde · state-spaces/mamba · GitHubgithub.com
- MAAC/algorithms/attention_sac.py at master · shariqiqbal2810/MAAC · GitHubgithub.com
- Mamba No. 5 (A Little Bit Of…) | Sparse Notesjameschen.io
- The Annotated Transformernlp.seas.harvard.edu
- cpython/Objects/abstract.c at 3.10 · python/cpython · GitHubgithub.com
- Mamba: The Easy Wayjackcook.com
- 2312.00752arxiv.org
- On the Tradeoffs of SSMs and Transformers | Goomba Labgoombalab.github.io
- MambaByte: Token-free Selective State Space Modelarxiv.org
- A Visual Guide to Mamba and State Space Modelsnewsletter.maartengrootendorst.com
- Mamba 2 - Transformers are SSMs: Generalized Models and Efficient Algorithms Through SSS Dualityyoutube.com
- Llama 2 · Hugging Facehuggingface.co