axolotl-ai-cloud/axolotl
Go ahead and axolotl questions
This framework helps machine learning practitioners adapt existing large language models (LLMs) to perform specific tasks or generate specialized content. You provide a pre-trained LLM and your own unique dataset, and it outputs a fine-tuned LLM capable of more accurate or domain-specific responses. This is ideal for AI researchers, data scientists, or MLOps engineers looking to customize powerful language models.
11,429 stars. Actively maintained with 83 commits in the last 30 days. Available on PyPI.
Use this if you need to customize a large language model (LLM) with your specific data to improve its performance on a particular task or domain.
Not ideal if you are looking for an out-of-the-box conversational AI solution or a general-purpose LLM without needing specialized training.
Stars
11,429
Forks
1,268
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
83
Dependencies
57
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/axolotl-ai-cloud/axolotl"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Recent Releases
Related tools
google/paxml
Pax is a Jax-based machine learning framework for training large scale models. Pax allows for...
JosefAlbers/PVM
Phi-3.5 for Mac: Locally-run Vision and Language Models for Apple Silicon
iamarunbrahma/finetuned-qlora-falcon7b-medical
Finetuning of Falcon-7B LLM using QLoRA on Mental Health Conversational Dataset
h2oai/h2o-wizardlm
Open-Source Implementation of WizardLM to turn documents into Q:A pairs for LLM fine-tuning
WangRongsheng/Aurora
The official codes for "Aurora: Activating chinese chat capability for Mixtral-8x7B sparse...