Showing 1-10 of 10 projects
torchtune is a PyTorch-native post-training library for fine-tuning and tuning machine learning models.
An LLM post-training framework for scaling Reinforcement Learning.
AllenAI's open-source post-training codebase for building AI models and agents.
A unified inference and post-training framework for accelerated video generation powered by AI.
A Python library for post-training with the Tinker AI coding tool, focused on vibe coders.
This is a large language model (LLM) focused on mental health, with pre/post-training, datasets, evaluation, and deployment tools.
A Python library for synthetic data curation and structured data extraction for machine learning models.
SmoothQuant is an efficient post-training quantization tool for large language models, enabling accurate and fast inference.
An interface library for reinforcement learning (RL) post-training with environments.
An open-source post-building layer for AI agents, providing environment data and evaluations to power agent post-training and monitoring.
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