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tq-kv
v0.6.0 ExperimentalTurboQuant KV Cache Compression for LLMs — First working on GGUF Q4_K_M (3-Fix framework). KV Compaction (50x token reduction). Per-head adaptive bitwidth. 4-bit value compression. Calibration pipeline. SRHT QJL (115x faster). AVX2 SIMD fused attention. C FFI. 114 tests.
MIT OR Apache-2.0 Edition 2021
Quick Verdict
- !Pre-1.0: API may have breaking changes
- ✓Permissive license (MIT OR Apache-2.0)
Security
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Downloads
218
Dependents
0
Releases
6
Size
76KB
Deep Insights
📈
Strong growth momentum
30 downloads in the last 30 days (1/day), up 50% from the previous period.
Health Breakdown
Maintenance 18/25
Recency, release consistency, active ratio
Quality 16/25
Yanked ratio, deps, size, maturity, features
Community 6/20
Reverse deps, ownership, ecosystem
Popularity 3/15
Downloads, momentum, growth trend
Documentation 10/15
Docs, repo, license, metadata
Download Trend
Daily downloads · last 90 days
0/day avg
Version Adoption
v0.5.0
35%
v0.6.0
30%
v0.4.0
13%
v0.3.0
12%
v0.1.0
11%
Release Timeline
6 releasessince 2026
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LessMore
Feature Flags
default =["std"]
ffistd*candlepython
README
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Maintainers
Dependencies
6
direct dependencies
Dependents
0
crates depend on tq-kv