
LMFlow
by OptimalScale (organization)
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All. (description from the project’s GitHub page)
Repository facts
- Stars
- 8,481
- Forks
- 822
- Open issues and pull requests
- 87
- Primary language
- Python
- License
- Apache License 2.0 (Apache-2.0)
- Owner
- OptimalScale · Organization
- Created
- Mar 27, 2023
- Last push
- Aug 10, 2026
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 551: BlinkDL/RWKV-LM
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combin…
14,748 starsPythonApache-2.0Last push Sep 28, 2026
Rank 574: mlfoundations/open_clip
An open source implementation of CLIP.
14,204 starsPythonOther licenseLast push Sep 30, 2026
Rank 14: 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.
167,814 starsPythonApache-2.0Last push Oct 18, 2026
Rank 768: bigscience-workshop/petals
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
10,639 starsPythonMITLast push Sep 7, 2024
Rank 259: tatsu-lab/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
30,232 starsPythonApache-2.0Last push Jul 17, 2024
Rank 4,862: zjunlp/KnowLM
An Open-sourced Knowledgable Large Language Model Framework.
1,385 starsPythonMITLast push Jan 11, 2025