Decision Workspace
rage-quant vs oxibonsai-core vs oxillama-gguf
Side-by-side comparison of Rust crates
44
rage-quant
experimentalv0.1.0
High-performance quantized GEMV kernels for CPU-only LLM inference. Direct dot product on Q8_0/Q6_K/Q4_K GGUF blocks with AVX2+FMA SIMD — 3.0x decode speedup.
59
oxibonsai-core
experimentalv0.1.4
GGUF Q1_0_g128 loader, tensor types, and configuration for OxiBonsai
56
oxillama-gguf
experimentalv0.1.3
GGUF v3 parser and tensor loader for OxiLLaMa
Core Metrics
| rage-quant | oxibonsai-core | oxillama-gguf | |
|---|---|---|---|
| Health Score | 44 | 59 | 56 |
| Total Downloads | 17 | 361 | 252 |
| 30d Downloads | 0 | 0 | 0 |
| Dependents | 0 | 45 | 44 |
| Releases | 1 | 5 | 4 |
| Last Updated | 39d ago | 9d ago | 20d ago |
| Age | 1m | 1m | 1m |
Health Breakdown
rage-quant
Maintenance
11
Quality
13
Community
6
Popularity
1
Documentation
13
oxibonsai-core
Maintenance
15
Quality
15
Community
11
Popularity
3
Documentation
15
oxillama-gguf
Maintenance
15
Quality
15
Community
11
Popularity
3
Documentation
12
Technical Details
| rage-quant | oxibonsai-core | oxillama-gguf | |
|---|---|---|---|
| Version | 0.1.0 | 0.1.4 | 0.1.3 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | AGPL-3.0-only | Apache-2.0 | Apache-2.0 |
| Dependencies | 5 | 7 | 9 |
| Crate Size | 30KB | 82KB | 98KB |
| Features | 0 | 3 | 8 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2021 | 2021 |
| MSRV | — | 1.86 | 1.89 |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •oxibonsai-core leads with a health score of 59/100, but none of the options score above 80.