LLM Fine Tuning | Agent Skills Atlas

About this skill

Fine-tune large language models efficiently using LoRA, QLoRA, and PEFT methods. Use for domain adaptation, instruction tuning, task-specific optimization, and parameter-efficient training of LLMs.

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Review, license & listing details

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Automated security scan: Partial

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 8c9db388f2b0bf351344cfb505068f89d82b9af5047d057ff7973ad6dfde478e

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Original listing metadata

Original name

llm-fine-tuning

Original description

Fine-tune large language models efficiently using LoRA, QLoRA, and PEFT methods. Use for domain adaptation, instruction tuning, task-specific optimization, and parameter-efficient training of LLMs.

About this listing

Category: General
Reported license: MIT
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.