Decision Workspace
aprender-quant vs oxibonsai-core vs oxillama-gguf
Side-by-side comparison of Rust crates
49
aprender-quant
experimentalv0.35.0
K-quantization formats (Q4_K, Q5_K, Q6_K) for GGUF/APR model weights
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
| aprender-quant | oxibonsai-core | oxillama-gguf | |
|---|---|---|---|
| Health Score | 49 | 59 | 56 |
| Total Downloads | 4.3K | 361 | 252 |
| 30d Downloads | 2.1K | 0 | 0 |
| Dependents | 9 | 45 | 44 |
| Releases | 8 | 5 | 4 |
| Last Updated | 3d ago | 9d ago | 20d ago |
| Age | 1m | 1m | 1m |
Health Breakdown
aprender-quant
Maintenance
16
Quality
10
Community
9
Popularity
4
Documentation
10
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
| aprender-quant | oxibonsai-core | oxillama-gguf | |
|---|---|---|---|
| Version | 0.35.0 | 0.1.4 | 0.1.3 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | MIT OR Apache-2.0 | Apache-2.0 | Apache-2.0 |
| Dependencies | 1 | 7 | 9 |
| Crate Size | 11KB | 82KB | 98KB |
| Features | 0 | 3 | 8 |
| Yanked % | 12.5% | 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.
- •aprender-quant has the most downloads (4.3K), suggesting wider adoption.