Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.
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Type: Agent skill (SKILL.md) · Category: Memory & Knowledge · Source: https://github.com/dabit3/sonic-agent/tree/HEAD/optional-skills/mlops/peft
| Capabilities (fewer powerful permissions = higher) | 50/50 |
| Maintenance | 26/35 |
| Documentation | 15/15 |
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