nanowell/Q-Sparse-LLM

My Implementation of Q-Sparse: All Large Language Models can be Fully Sparsely-Activated

/ 100

Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 7 / 25

Maturity 16 / 25

Community 3 / 25

Stars

Forks

Language

Python

License

MIT

Category

Last pushed

Aug 14, 2024

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/nanowell/Q-Sparse-LLM"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

fla-org/flash-linear-attention

🚀 Efficient implementations of state-of-the-art linear attention models

thu-ml/SageAttention

[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x...

thu-ml/SpargeAttn

[ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.

fla-org/flame

🔥 A minimal training framework for scaling FLA models

foundation-model-stack/fms-fsdp

🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for...