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Tool · Fine-tuning framework · Axolotl AI

Axolotl

Go ahead and axolotl questions

License
PermissiveApache License 2.0
Language
Python
Latest release
10 Sept 2026Axolotl v0.19.0
Measurements
0
RepositoryWebsite

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Releases & news

  1. Axolotl v0.19.0
    72 commits since v0.18.0 (July 17, 2026).
  2. Axolotl v0.18.0
    We've been hard at work doing low level improvements in the kernels. Over 90 commits since v0.17.0 (June 3, 2026), themed around fine-tuning very large sparse-MoE models cheaply: 4-bit expert LoRA/QLoRA (NVFP4, MXFP4, bnb) that runs fast and stays memory-flat at long context on B
  3. Axolotl v0.17.0
    Another packed release. ~84 commits since v0.16.1 last month, bringing Expert Parallelism for MoE training, BitNet 1.58-bit fine-tuning, remote training via Tinker, context parallelism for hybrid SSM models, MXFP4 ScatterMoE-LoRA, fused RMSNorm+RoPE kernels for the Qwen3 family,
  4. Axolotl v0.16.1
    Example YAML: https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/gemma4/26b-a4b-moe-qlora.yaml
  5. Axolotl v0.16.0
    We’re very excited to share this new packed release. We had ~80 new commits since v0.15.0 (March 6, 2026).
  6. Axolotl v0.15.0
    This release brings new model support, significant MoE improvements, infrastructure updates with Torch 2.10.0 and uv builds, and a collection of quality-of-life fixes across the board.
  7. Axolotl v0.14.0
    This is a major release marking our migration to Transformers v5. Along with this significant core dependency upgrade, we are introducing major performance optimizations for MoE models and new fine-tuning methods.
  8. Axolotl v0.13.2
    This is a patch release introducing GDPO support and updating core infrastructure, including newer CUDA defaults and Python versions.
  9. Axolotl v0.13.1
    This release brings support for PyTorch 2.9.1, expands our ecosystem with new experiment trackers (SwanLab and Trackio), and introduces support for a wide range of new models including Olmo3, Ministral 3, InternVL 3.5, and Kimi. We’ve also included significant improvements to qua
  10. Axolotl v0.13.0
    This release is packed with major new features, including Streaming SFT for massive datasets, a new Text Diffusion training plugin, and a significant upgrade to our Quantization-Aware Training (QAT) capabilities with NVFP4 support. We're also thrilled to announce support for a hu

Reviews

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Sources & history

Sources

  • GitHub (live source, 2 records, 13 Sept 2026)

External identifiers

Field history

  • homepageUrl = "https://docs.axolotl.ai" — GitHub (current)
  • homepageUrl = "https://docs.axolotl.ai" — GitHub
  • primaryLanguage = "Python" — GitHub (current)
  • primaryLanguage = "Python" — GitHub
  • summary = "Go ahead and axolotl questions" — GitHub (current)
  • summary = "Go ahead and axolotl questions" — GitHub