oumi and LLamaTuner

oumi
77
Verified
LLamaTuner
44
Emerging
Maintenance 22/25
Adoption 11/25
Maturity 25/25
Community 19/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 18/25
Stars: 8,907
Forks: 707
Downloads:
Commits (30d): 81
Language: Python
License: Apache-2.0
Stars: 620
Forks: 65
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No risk flags
Stale 6m No Package No Dependents

About oumi

oumi-ai/oumi

Easily fine-tune, evaluate and deploy gpt-oss, Qwen3, DeepSeek-R1, or any open source LLM / VLM!

This project helps AI developers and machine learning engineers fine-tune, evaluate, and deploy large language models (LLMs) and vision-language models (VLMs) for various applications. It takes raw data and an existing open-source model, and outputs a specialized, ready-to-use AI model tailored to specific tasks. This is for professionals building custom AI solutions, from initial training to production deployment.

AI-development machine-learning-engineering natural-language-processing computer-vision model-deployment

About LLamaTuner

jianzhnie/LLamaTuner

Easy and Efficient Finetuning LLMs. (Supported LLama, LLama2, LLama3, Qwen, Baichuan, GLM , Falcon) 大模型高效量化训练+部署.

This toolkit helps machine learning engineers and researchers adapt large language models (LLMs) to specific tasks or datasets. It takes a base LLM and your custom data, then outputs a fine-tuned LLM capable of more specialized tasks. It's designed for anyone needing to efficiently customize state-of-the-art AI models for their unique applications, even with limited hardware resources.

large-language-models model-customization AI-training natural-language-processing machine-learning-engineering

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