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The skill is an instruction-only guide for PEFT/LoRA/QLoRA fine-tuning and its requirements and instructions are coherent with that purpose; nothing in the bundle requests unrelated credentials or tri...

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        "changelog": "- Initial release of parameter-efficient fine-tuning (PEFT) support for large language models (LLMs), including LoRA, QLoRA, and 25+ adapter methods.\n- Enables fine-tuning of 7B–70B models on consumer GPUs by training less than 1% of model parameters, with adapters as small as 6MB.\n- Provides memory-optimized workflows for single-GPU fine-tuning of even the largest models using quantization (QLoRA).\n- Integrates fully with the HuggingFace transformers ecosystem and official PEFT library.\n- Includes practical guides, recommended settings, and code for adapter training, merging, and multi-adapter serving.\n- Offers architecture-specific configuration and compares leading parameter-efficient fine-tuning methods.",
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