GraphCanon updated 2w · GitHub synced 2w
Decision brief
Axolotl is a Python-based framework designed for fine-tuning LLMs, requiring NVIDIA or AMD GPUs, Python 3.11+, and PyTorch ≥2.11.0.
Good fit when
- When working with newer NVIDIA Ampere series GPUs or modern AMD GPUs to leverage `bf16` and Flash Attention.
- For users who need a quick start for LLM fine-tuning in minutes, provided they meet strict hardware dependencies.
Avoid when
- If you are constrained by older GPU models that do not support the required features like `bf16` or if your system does not have an NVIDIA or AMD GPU.
- In environments where Python version must be less than 3.11, as Axolotl requires at least Python 3.11 for operation.
- Requirements:
- Hardware requirement includes either NVIDIA (Ampere series or newer) or AMD GPUs.; Software requirements dictate the use of Python >=3.11, with version 3.12 recommended and PyTorch ≥2.11.0.
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install axolotlSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Axolotl is a Python-based framework for fine-tuning LLMs with requirements including NVIDIA or AMD GPUs, Python 3.11+, and PyTorch.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 3, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 3, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 3, 2026)
- Python >=3.11 (3.12 recommended)Source link
Tags
README
🚀 Quick Start - LLM Fine-tuning in Minutes
Requirements:
- NVIDIA GPU (Ampere or newer for
bf16and 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.
For agents
This page has a .md twin and JSON over the API.