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ruvllm_sparse_attention

v0.1.1 Experimental

Subquadratic O(N log N) sparse attention kernel for Rust LLM inference on edge devices, with optional FastGRNN salience gating for near-linear O(N) scaling

MIT Edition 2021 MSRV 1.77
AlgorithmsScienceNo standard libraryMathematics #edge#inference#transformer#llm#attention

Quick Verdict

  • โœ“Actively maintained (updated 67d ago)
  • !Pre-1.0: API may have breaking changes
  • โœ“Permissive license (MIT)

Security

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Downloads
28
Dependents
0
Releases
2
Size
42KB

Deep Insights

๐Ÿ“ˆ
Strong growth momentum

5 downloads in the last 30 days (0/day), up 150% from the previous period.

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Prolific maintainer

The primary maintainer publishes 360 crates. This suggests deep Rust expertise and long-term commitment to the ecosystem.

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Compact crate

At 41KB, ruvllm_sparse_attention is lightweight. Small crate size correlates with focused, well-scoped functionality.

Health Breakdown

Maintenance 10/25

Recency, release consistency, active ratio

Quality 15/25

Yanked ratio, deps, size, maturity, features

Community 6/20

Reverse deps, ownership, ecosystem

Popularity 2/15

Downloads, momentum, growth trend

Documentation 15/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
0/day avg
04/265/146/16/197/77/24

Version Adoption

v0.1.1
57%
v0.1.0
43%

Release Timeline

2 releasessince 2026
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Feature Flags

default =["std"]

std*fp16parallel

README

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Maintainers

Dependencies
5
direct dependencies
Dependents
0
crates depend on ruvllm_sparse_attention

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