Axolotl AI
@axolotl_ai
Axolotl is the premier open source LLM fine tuning framework. find us on discord https://discord.gg/cq8QGrh9mC or email us at [email protected]
We're thrilled to announce Axolotl v0.12.0. We're ramping up our distributed training featureset with ND parallel multi-node training, and FP8 support. We've also added fine-tuning for gpt-oss, FSDP support for TiledMLP, and many more exciting features. 1/5
Want to fine-tune gpt-oss-120b? We teamed up with Axolotl to launch a new recipe to run fine-tuning out of the box — multi-node training, one-line deployments from the CLI, and built-in observability included.
Finally, we also release a blogpost 📖, explaining these strategies in a comprehensive manner, comparing them to each another and explaining how they combine. This also comes with amazing visualisations and tips on when to you use which combination! huggingface.co/blog/accelerat… 4/5
We have cooked some something nice with @axolotl_ai for 🤗 accelerate v1.10. Have you ever wanted to train a large model, but couldn't setup your env? Current multi-gpu frameworks are hard to install, the configuration has like 100 options. Here comes ParallelismConfig 🚀 1/5 🧵
🚨 Introducing the Axolotl-LLM Compressor integration, designed to make fine-tuning sparse models easier and more efficient than ever! Now you can fine-tune sparse models for specific data while preserving their sparse structure and recovering any accuracy lost during pruning.…
Training qwe3 with qwen2.5 template works just fine. Way easier to make everything work, and just one line change in @axolotl_ai
Looking to fine-tune models? Meet @axolotl_ai 💚 an open-source tool that simplifies the entire fine-tuning pipeline. Learn how to get started with our tutorial covering how to fine-tune Llama 3 🦙 koyeb.com/tutorials/usin…
Hacker house was in full force last week for @aiDotEngineer with events with @runpod_io plus collab with @googlecloud... sailing with team + @capetorch visits @SHACK15sf ... ⛵️🔥 😊
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