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fine-tuning-expert
ANo problem foundSodiqAbdulwaris/waris-skill-library
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…
fine-tuning-expert got grade A on our automated scan on 2026-10-26.
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Related
Run all code generation (protobuf, sqlc, frontend build)
name: ship description: Release protocol: pre-flight checks, changelog, semantic version, tag, deploy. disable-model-invocation: true
name: init description: Bootstrap the .resonance/ project memory (soul, state, docs scaffold). Run once per new project. disable-model-invocation: true
name: goal description: The autonomous goal loop: frame, decompose, then build and verify each slice against real checks, bounded, never auto-ship. disable-model-invocation: true