Libraries & frameworks
axolotlPick
axolotl-ai-cloud/axolotl
An open-source LLM post-training framework supporting full fine-tuning, LoRA, preference tuning, RL, and multi-GPU training via YAML configs.
Topics
Related projects
peft21.9kA Python library for parameter-efficient fine-tuning like LoRA, adapting large pretrained models by training only small adapters.
Soup10.5kA one-config CLI framework for fine-tuning and post-training LLMs with QLoRA, evals, and export.
tinyengram1.3kOpen research codebase reproducing DeepSeek-style Engram memory-injection architecture on Qwen-3 and Stable Diffusion, comparing against LoRA fine-tuning with training experiments and vision extensions.
easy-dataset15.1kA desktop and web app that turns domain documents into high-quality fine-tuning and evaluation datasets with LLMs.
OpenLLM12.6kAn open-source platform for self-hosting LLMs and serving them as OpenAI-compatible APIs in the cloud.
MetaClaw3.5kA proxy harness for personal agents that injects skills, persists memory and meta-learns from live conversations.