Summary
If you're fine-tuning LLMs with Axolotl, this skill gives you direct guidance on YAML configs, LoRA/QLoRA setups, and alignment techniques like DPO and ORPO. It covers practical stuff like FSDP configuration, context parallelism settings, and NCCL performance testing. The quick reference includes actual config snippets and the references folder has detailed docs on dataset formats and API usage. Honestly, Axolotl's YAML-based approach is refreshingly straightforward compared to writing training loops from scratch, and having the multimodal support patterns documented here saves you from piecing together examples from GitHub issues.
Install to Claude Code
npx -y skills add orchestra-research/ai-research-skills --skill axolotl --agent claude-codeInstalls into .claude/skills of the current project.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
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