Collection
LLM Fine-Tuning Tools
The LLM Fine-Tuning Tools collection tracks 15 curated open-source projects, 9 of them live on TrendingRepo right now — ranked by a cross-source momentum score blending GitHub star velocity with mentions on Hacker News, X, Bluesky, Product Hunt and Dev.to.
Live · top 15 repos · sorted by momentum across 24H
LIVE · 37m| # | Repository | Stars | 24h | 7d | 30d | Trend | Mentions | Actions |
|---|---|---|---|---|---|---|---|---|
| 01 | unslothai/unsloth Unsloth is a local UI for training and running Gemma 4, Qwen3.6, DeepSeek, Kimi, GLM and other models. | 68.9K | +38+0.1% | +366+0.5% | +1.6K+2.3% | |||
| 02 | huggingface/transformers 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. | 163K | +1+0.0% | +242+0.1% | +1.2K+0.7% | |||
| 03 | huggingface/trl Train transformer language models with reinforcement learning. | 18.9K | +8+0.0% | +47+0.2% | +245+1.3% | |||
| 04 | huggingface/peft 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning. | 21.5K | +5+0.0% | +37+0.2% | +150+0.7% | |||
| 05 | Lightning-AI/litgpt 20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale. | 13.6K | — | +85+0.6% | +138+1.0% | |||
| 06 | kubeflow/trainer Distributed AI Model Training and LLM Fine-Tuning on Kubernetes | 2.2K | — | +1+0.0% | +30+1.4% | |||
| 07 | mlabonne/llm-course Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. | 81.3K | +1+0.0% | +146+0.2% | +934+1.2% | |||
| 08 | ConardLi/easy-dataset A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval | 14.7K | +1+0.0% | +30+0.2% | +170+1.2% | |||
| 09 | huggingface/alignment-handbook Robust recipes to align language models with human and AI preferences | 5.6K | +1+0.0% | +6+0.1% | +27+0.5% | |||
| 10 | FlagAlpha/Llama2-Chinese No description published. | 0 | — | — | — | |||
| 11 | hiyouga/LLaMA-Factory No description published. | 0 | — | — | — | |||
| 12 | microsoft/DeepSpeed No description published. | 0 | — | — | — | |||
| 13 | NVIDIA/NeMo No description published. | 0 | — | — | — | |||
| 14 | OpenAccess-AI-Collective/axolotl No description published. | 0 | — | — | — | |||
| 15 | pytorch/torchtune No description published. | 0 | — | — | — |