Guide Axolotl fine-tuning workflows with YAML configs for 100+ models.
npx skills add https://github.com/lucasfth/config --skill axolotl-lucasfth
Please help me install this Agent Skill. Skill: axolotl Source: https://github.com/lucasfth/config/tree/main/.hermes/skills/mlops/training/axolotl Command: npx skills add https://github.com/lucasfth/config --skill axolotl-lucasfth
This skill provides expert guidance for fine-tuning LLMs with Axolotl, using YAML configurations, broad model coverage, and multimodal support.
Load the Axolotl YAML config to begin a guided fine-tuning workflow.
High-intent search queries and answers about installing and using this skill.
Load the Axolotl YAML config to begin a guided fine-tuning workflow for LLMs. This approach structures end-to-end training across 100+ models using LoRA and QLoRA techniques.
DPO, KTO, ORPO, and GRPO are fully supported for RLHF-style training. The skill provides debugging, optimization, and best practices specifically for these preference alignment methods.
Multimodal fine-tuning is supported across 100+ models. The skill includes example patterns and reference materials to help configure and debug multimodal training setups.
Start LoRA fine-tuning by loading the Axolotl YAML config. This activates comprehensive reference materials and code examples to accelerate implementation and training setup.
A references directory provides comprehensive code examples and materials for debugging LLM training. These resources load during activation to accelerate learning and implementation.
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