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Local Model Finetuning Unsloth Axolotl

Agent skill
1 skill

High-performance local LLM fine-tuning, DPO/ORPO preference alignment, and QLoRA/LoRA optimization using Unsloth and Axolotl. Covers VRAM footprint minimization, FlashAttention-2, gradient checkpointing, FSDP/DeepSpeed multi-GPU scaling, dataset formatting, and GGUF/vLLM export.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Skill stats

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About this skill

High-performance local LLM fine-tuning, DPO/ORPO preference alignment, and QLoRA/LoRA optimization using Unsloth and Axolotl. Covers VRAM footprint minimization, FlashAttention-2, gradient checkpointing, FSDP/DeepSpeed multi-GPU scaling, dataset formatting, and GGUF/vLLM export.

Quick start

  1. Copy the install prompt. Use the green button above this README.
  2. Send it to your agent. Paste it into your coding agent’s chat and send.
  3. Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
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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.
Local Model Finetuning Unsloth Axolotl | Agent Skills Atlas