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fine-tuning-expert

separate

Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.

When to use

• fine-tuning LLMs
• training custom models
• adapting foundation models
• configuring LoRA/QLoRA adapters
• preparing JSONL training datasets
• setting hyperparameters
• instruction tuning
• quantizing and deploying fine-tuned models

Skill page

Source