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axolotl

Fine-tune large language models with Axolotl for LoRA, DPO, GRPO, and multimodal training.

Updated Jun 26, 2026
Search Tags:#optimization#model training#fine-tuning#LLM#Axolotl
One-click install
npx skills add https://github.com/NITISH-gitbit/hermes-custom --skill axolotl-nitish-gitbit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: axolotl
Source: https://github.com/NITISH-gitbit/hermes-custom/tree/main/optional-skills/mlops/training/axolotl
Command: npx skills add https://github.com/NITISH-gitbit/hermes-custom --skill axolotl-nitish-gitbit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires axolotl, torch, transformers, datasets, peft, accelerate, deepspeed, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the challenge of fine-tuning large language models (LLMs) with Axolotl, providing a streamlined and efficient process for model training and optimization.

Core Features & Use Cases

  • Fine-Tuning Support: Offers expert guidance for fine-tuning LLMs with Axolotl, including LoRA, DPO, GRPO, and multimodal support.
  • Documentation & Examples: Provides comprehensive documentation and code examples for Axolotl development.
  • Use Case: Ideal for developers looking to implement advanced training techniques with Axolotl, optimize their models, and streamline the training workflow.

Quick Start

Trigger the axolotl skill to begin fine-tuning your LLM.

Frequently Asked Questions about axolotl

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fine-tune a large language model using LoRA and DPO?▼

To fine-tune a large language model with LoRA and DPO, you can use Axolotl to streamline your training workflow. It provides comprehensive documentation and code examples to guide you through the optimization process.

What is the best way to streamline LLM training workflows with DeepSpeed?▼

Streamlining LLM training workflows with DeepSpeed is achievable using Axolotl. It integrates DeepSpeed dependencies to optimize large-scale model training and provides code examples for efficient development.

Can I use Axolotl for multimodal model training?▼

Yes, you can use Axolotl for multimodal model training. It explicitly supports multimodal configurations alongside LoRA, DPO, and GRPO techniques to optimize diverse large language model architectures.

Do I need PyTorch and PEFT installed to start fine-tuning LLMs?▼

Yes, you need PyTorch and PEFT installed alongside axolotl, transformers, datasets, accelerate, and deepspeed. These dependencies form the core environment required to execute the LLM fine-tuning process.

Does Axolotl support GRPO for model optimization?▼

Yes, Axolotl supports GRPO for model optimization. It handles GRPO alongside LoRA and DPO configurations, allowing developers to apply advanced reinforcement learning techniques during large language model fine-tuning.

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