GraphCanon
Home/Model Training/axolotl
axolotl logo

axolotl

Enrichment pending
axolotl-ai-cloud/axolotl

Go ahead and axolotl questions

GitHub Website

GraphCanon updated today · GitHub synced today

12k
Stars
1.4k
Forks
241
Open issues
57
Watchers
today
Last push
Python Apache-2.0Created Apr 14, 2023

Trust & integrity

Full report
Maintenance
Very active (0d since push)
As of today · Source: github_public_v1
Provenance
Not a fork · Organization account
As of today · Source: github_public_v1
Security (OSV)
No lockfile
As of today · Source: none

Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.

Overview

Go ahead and axolotl questions

Capability facts

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Jul 11, 2026

Languages
python

Source: github.language+pyproject.toml · Jul 11, 2026

Categories

Model TrainingLLM Frameworks

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

- Python >=3.11 (3.12 recommended)
Source link

Tags

fine-tuningllmpython

README

🚀 Quick Start - LLM Fine-tuning in Minutes

Requirements:

  • NVIDIA GPU (Ampere or newer for bf16 and Flash Attention) or AMD GPU
  • Python >=3.11 (3.12 recommended)
  • PyTorch ≥2.11.0

install uv if you don't already have it installed (restart shell after)

curl -LsSf https://astral.sh/uv/install.sh | sh

📜 License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.