Hacker GitHub

← All repos

axolotl-ai-cloud/axolotl

View on GitHub ↗ ★ 12,655 Python

Go ahead and axolotl questions

24 mentions on Hacker News by 16 people: 9 stories, 15 comments · first 2023-07-10 · latest 2025-08-08

Mentions per year 24 mentions · busiest year 2023 (11)
20082026
  1. ▲ 3
    Finetuning GPT-OSS with Axolotl
    story by desideratum · 2025-08-08 · 0 comments
  2. I usually use https://github.com/axolotl-ai-cloud/axolotl on Lambda/Together for working with these types of models. Curious what others are using? What is the quickest way to get started? They mention Pre-training and Post-training but…
    comment by TuringNYC · 2025-07-31 · in Releasing weights for FLUX.1 Krea
  3. ▲ 1
    Axolotl: Fine-tuning framework for various AI models
    story by shcheklein · 2024-11-14 · 0 comments
  4. https://github.com/axolotl-ai-cloud/axolotl
  5. ▲ 1
    Axolotl: Tool designed to streamline the fine-tuning of various AI models
    story by shcheklein · 2024-09-20 · 0 comments
  6. ▲ 4
    Axolotl: Tool designed to streamline the fine-tuning of various AI models
    story by shcheklein · 2024-09-04 · 0 comments
  7. …with an example config that makes use of it [1], if anyone would like to quickly try it out. [0] https://github.com/axolotl-ai-cloud/axolotl/pull/1861 [1] https://github.com/axolotl-ai-cloud/axolotl/blob/main/exampl...
  8. ▲ 3
    Axolotl: A tool to fine-tune AI models
    story by PaulHoule · 2024-06-20 · 0 comments
  9. …on cloud GPUs. [1] https://github.com/stanfordnlp/dspy [2] https://github.com/unslothai/unsloth [3] https://github.com/OpenAccess-AI-Collective/axolotl [4] https://github.com/skypilot-org/skypilot [5] https://github.com/modal-labs/llm-finet…
  10. The approach I see used is axolotl with QLoRA using cloud GPUs which can be quite cheap. https://github.com/OpenAccess-AI-Collective/axolotl Someone from one of the cloud GPU vendors wrote a guide: https://brev.dev/blog/fine-tuning-mistral
  11. https://github.com/OpenAccess-AI-Collective/axolotl
  12. ▲ 3
    Bounty for Optimized Triton Kernels for full fine tunes
    story by bratao · 2024-01-03 · 0 comments
  13. ▲ 3
    Axolotl
    story by tosh · 2024-01-02 · 0 comments
  14. ▲ 2
    Axolotl
    story by tosh · 2023-12-14 · 0 comments
  15. ▲ 2
    Axolotl: Streamline fine-tuning of AI models
    story by KolmogorovComp · 2023-12-05 · 1 comment
  16. Check out https://github.com/OpenAccess-AI-Collective/axolotl
  17. At first I thought the ecologists wanted to save the axolotl library :) https://github.com/OpenAccess-AI-Collective/axolotl
  18. …where he discusses fine tuning, but the whole talk is great. Punchline, check out Axolotl: https://github.com/OpenAccess-AI-Collective/axolotl
    comment by code_biologist · 2023-10-11 · in Mistral 7B
  19. https://github.com/OpenAccess-AI-Collective/axolotl
    comment by brucethemoose2 · 2023-09-28 · in Mistral 7B
  20. https://github.com/OpenAccess-AI-Collective/axolotl This is a wrapper around many training methods, and it has yielded many excellent community finetunes already.
    comment by brucethemoose2 · 2023-09-28 · in Mistral 7B
  21. …is enough, yeah. I'm not sure what exact LORA/quantization settings would be ideal, but check out https://github.com/OpenAccess-AI-Collective/axolotl#config
    comment by brucethemoose2 · 2023-09-18 · in Run LLMs at home, BitTorrent‑style
  22. …of multiple choice answers, etc. Take a look below (there are more formats in "see other formats") https://github.com/OpenAccess-AI-Collective/axolotl#dataset
  23. …And there are some excellent extant finetuning frameworks, like Aoxotol, that run on consumer GPUs: https://github.com/OpenAccess-AI-Collective/axolotl IIRC Text-gen-ui had a QLORA finetuning UI too. What I am saying is that its already…
    comment by brucethemoose2 · 2023-09-12 · in Fine-tune your own Llama 2 to replace GPT-3.5/4
  24. …Maybe 2x24GB? Less for LLaMA 33B, which is still very good. Use a repo that supports QLORA, like https://github.com/OpenAccess-AI-Collective/axolotl