lora-qlora-recipes
Configure LoRA and QLoRA supervised fine-tuning with current best-practice hyperparameters. Use when writing or reviewing a LoRA/QLoRA training configuration, choosing rank/alpha/target modules, or deciding between LoRA, QLoRA, and full fine-tuning.
| Field | Value |
|---|---|
| Owner | wshobson |
| Curator | Thomas Cherickal |
| Source | wshobson/agents |
| Repo stars | 42,512 |
| License | MIT |
| Repo last push | 2026-11-09 |
Links
- Roles: llm-engineer
- Source repo: wshobson/agents
- Same repo: eval-harness-first, evaluation-methodology, dataset-curation, finetuning-method-selection, grpo-rlvr-training, python-anti-patterns, python-background-jobs, python-code-style
- Registry seed skills for this role: llm-engineer seed skills