marin-community/marin

Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent evaluation of foundation models, including large language models (LLMs) and multimodal models.

Halo is an open-source framework built by White Circle for training large language and multimodal models

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!

"LLM from Zero to Hero: An End-to-End Large Language Model Journey from Data to Application!"

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

A repository for research on medium sized language models.

A lightweight, AI-native training framework for large language models. Designed for fast iteration, reproducible experiments, and modular configuration across SFT, RLVR, and evaluation workflows.

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/