Decision Workspace
rullama-datasets vs rullama-finetune vs brainwires-finetune
Side-by-side comparison of Rust crates
Training data pipelines for rullama: JSONL I/O, tokenization, dedup, format conversion (Alpaca / ChatML / OpenAI / ShareGPT / Together), and quality stats. Shared by cloud (`rullama-finetune`) and local (`rullama-lora`, in the rullama workspace) fine-tuning.
Cloud fine-tune APIs (OpenAI, Anthropic, Together, Fireworks, Anyscale, Bedrock, Vertex AI) for the rullama agent framework. Dataset pipelines live in `rullama-datasets`; local LoRA/QLoRA/DoRA fine-tuning lives in `rullama-lora`.
Cloud fine-tune APIs (OpenAI, Anthropic, Together, Fireworks, Anyscale, Bedrock, Vertex AI) + dataset pipelines for the Brainwires Agent Framework. Local LoRA/QLoRA/DoRA fine-tuning and training-from-scratch live in the sibling `rullama` workspace (`rullama-finetune`, `rullama-training`).
Core Metrics
| rullama-datasets | rullama-finetune | brainwires-finetune | |
|---|---|---|---|
| Health Score | 50 | 53 | 47 |
| Total Downloads | 28 | 151 | 35 |
| 30d Downloads | 0 | 0 | 0 |
| Dependents | 2 | 1 | 1 |
| Releases | 1 | 6 | 1 |
| Last Updated | 12d ago | 12d ago | 54d ago |
| Age | 12d | 2m | 1m |
Health Breakdown
Technical Details
| rullama-datasets | rullama-finetune | brainwires-finetune | |
|---|---|---|---|
| Version | 0.12.0 | 0.12.0 | 0.11.0 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | MIT OR Apache-2.0 | MIT OR Apache-2.0 | MIT OR Apache-2.0 |
| Dependencies | 11 | 21 | 24 |
| Crate Size | 34KB | 43KB | 68KB |
| Features | 5 | 5 | 9 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2024 | 2024 | 2024 |
| MSRV | 1.91 | 1.91 | 1.91 |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •rullama-finetune leads with a health score of 53/100, but none of the options score above 80.