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axolotl Skill

AI Agent SkillPythonOpen source

Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO). Published by NousResearch in hermes-agent.

Decision snapshot

Is this a fit?

Best for

Documentation, Data analysis, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

29 days ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is axolotl Skill?

Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO). Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Documentation
  • Data analysis
  • Documentation use cases
  • Data analysis use cases

Declared skill metadata

  • Declared author: Orchestra Research
  • Declared license: MIT
  • Source file: optional-skills/mlops/training/axolotl/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use axolotl Skill

  • Use it for documentation.
  • Use it for data analysis.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: NousResearch
  • Repository: NousResearch/hermes-agent
  • Skill file: optional-skills/mlops/training/axolotl/SKILL.md

What it does

Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).

Skill instructions

Axolotl Skill What's inside Expert guidance for fine-tuning LLMs with Axolotl — YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support. Assistance with axolotl development, generated from official documentation. When to Use This Skill This skill should be triggered when: - Working with axolotl - Asking about axolotl features or APIs - Implementing axolotl solutions - Debugging axolotl code - Learning axolotl best practices Quick Reference Common Patterns Pattern 1: To validate that acceptable data transfer speeds exist for your training job, running NCCL Tests can help pinpoint bottlenecks, for example: ./build/allreduceperf -b 8 -e 128M -f 2 -g 3 Pattern 2: Configure your model to use FSDP in the Axolotl yaml. For example: fsdpversion: 2 fsdpconfig: offloadparams: true statedicttype: FULLSTATEDICT autowrappolicy: TRANSFORMERBASEDWRAP transformerlayerclstowrap: LlamaDecoderLayer reshardafterforward: true Pattern 3: The contextparallelsize should be a divisor of th

Verified compatibility and discovery

Frequently asked questions

What is axolotl?

axolotl is a open-source AI agent skill with Copy skill directory. Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).

Who is axolotl best for?

axolotl is best for reusing agent instructions, scripts, and references, documentation workflows, data analysis workflows.

How do I install axolotl?

Install or run axolotl using Copy skill directory. Check axolotl for the latest setup command.

Is axolotl actively maintained?

axolotl may need a closer maintenance check before production use.

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Stars
228,028
Forks
44,793
Last commit
29 days ago
Last verified
Aug 10, 2026
Metadata fetched
Aug 10, 2026
Repository age
1 year
License
MIT

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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