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aprender-quant

v0.35.0 Experimental

K-quantization formats (Q4_K, Q5_K, Q6_K) for GGUF/APR model weights

MIT OR Apache-2.0 Edition 2021
AlgorithmsCompressionScience #quantization#neural-network#machine-learning#llm#gguf

Quick Verdict

  • โœ“Actively maintained (updated 3d ago)
  • !Pre-1.0: API may have breaking changes
  • โœ“Tiny footprint (11KB, 1 deps)
  • โœ“Permissive license (MIT OR Apache-2.0)

Security

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Downloads
4.3K
Dependents
9
Releases
8
Size
11KB

Deep Insights

๐Ÿ“Š
Steady growth

2.2K downloads in the last 30 days (73/day), up 2% from the previous period.

๐Ÿ‘ค
Prolific maintainer

The primary maintainer publishes 259 crates. This suggests deep Rust expertise and long-term commitment to the ecosystem.

๐Ÿชถ
Minimal dependencies

Only 1 direct dependencies. Lean dependency tree means faster builds and lower supply chain risk.

๐Ÿ“
Compact crate

At 11KB, aprender-quant is lightweight. Small crate size correlates with focused, well-scoped functionality.

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Notable yanked versions

13% of releases have been yanked. Check version history before pinning.

Health Breakdown

Maintenance 16/25

Recency, release consistency, active ratio

Quality 10/25

Yanked ratio, deps, size, maturity, features

Community 9/20

Reverse deps, ownership, ecosystem

Popularity 4/15

Downloads, momentum, growth trend

Documentation 10/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
48/day avg
01002003004002/263/164/34/215/95/26

Top Dependents

Most downloaded crates that depend on aprender-quant

Version Adoption

v0.29.0
57%
v0.30.0
26%
v0.31.2
14%
v0.34.0
2%
v0.35.0
1%

Release Timeline

8 releases1 yankedsince 2026
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README

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Maintainers

Dependencies
1
direct dependencies
Dependents
9
crates depend on aprender-quant

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