Models

A one-stop, UI-driven tool for training and fine-tuning diffusion image and video models, supporting full fine-tuning, LoRA and embeddings across many model families and formats.

• Models
• Generative media

An efficient, user-friendly reinforcement learning library for training large language models at scale, covering preference alignment, complex reasoning and multi-turn agentic interaction.

• Models

A family of frontier vision-language models from NVIDIA exploring data-centric training strategies for general multimodal understanding, long-context reasoning and embodied applications.

• Models

An open-source platform for managing large language models and their related assets, such as datasets, spaces and code, with upload, download, storage, verification and distribution through a web interface, git, a chatbot or an SDK.

• Models

An open-source system of Chinese pretrained language and multimodal models, led by IDEA Research Institute, spanning general, generation, and domain-specific model families.

• Models

An open-source, modern AI training tracking and visualization platform that integrates with more than 50 frameworks such as PyTorch, Transformers and Ultralytics, usable as a cloud service or self-hosted, including on Kubernetes.

• Models

The official repository for Alibaba's Qwen3.8 large language model, which brings a top-tier Qwen-Max-class model to open release, with stronger coding, professional-work, research and long-horizon agentic performance.

• Models

A Python library, built on Hugging Face Transformers, that trains and evaluates a range of NLP models in as little as three lines of code, covering classification, question answering, retrieval and generation tasks.

• Models
• Libraries

A collection of optimized, pre-trained deep-learning models and demo applications for the OpenVINO Toolkit, intended to speed up development of high-performance inference applications instead of training models from scratch.

• Models
• Inference

A Microsoft research initiative on fundamental technology for building AI products with large language and multimodal models, covering prompt optimization, long context, alignment, faster inference and domain adaptation.

• Models
• Papers

A unified post-training and real-time inference framework for accelerated video generation, supporting full and LoRA fine-tuning, sparse attention and distillation techniques that cut denoising steps and GPU time.

• Models
• Generative media

An open-source reinforcement-learning infrastructure for embodied and agentic AI, used to train robotics and vision-language-action models at scale with GRPO and other RL algorithms.

• Models

A 3D large language model that turns point-cloud data from monocular video, RGBD images or LiDAR into structured indoor scene descriptions, including walls, doors, windows and labeled object bounding boxes.

• Models

A library of model optimization techniques, quantization, pruning, neural architecture search, distillation and speculative decoding, for compressing deep learning models ahead of deployment.

• Models

An open dataset and pipeline code for RedPajama-V2, a 30-trillion-token dataset built from CommonCrawl for training large language models.

• Models

An archived, open-source, cloud-native machine learning and large-model AI platform covering the full MLOps pipeline, from notebook development to distributed training and inference serving.

• Models
• Data engineering

A collaboration tool that lets AI engineers and domain experts build and label high-quality datasets for text classification, LLM and multimodal projects.

• Models
• Data engineering

An efficient, scalable, multi-modality reinforcement-learning training framework for language and vision-language models, forked from veRL to add vision-language support.

• Models

A framework and no-code GUI for fine-tuning large language models, with a command-line interface for the same workflows.

• Models

An open-source machine learning platform that unifies training, fine-tuning, chat and evaluation of models into one interface, running locally or scaled to GPU clusters.

• Models
• AI evals

A package for running inference and fine-tuning Vision Language Models, including omni models with audio and video support, on Apple Silicon Macs using MLX.

• Models
• Inference

An inference library for Recursive Language Models, a task-agnostic paradigm that lets a language model programmatically examine, decompose and recursively call itself over near-infinite-length contexts.

• Models
• Inference

A collection of training recipes for aligning language models with human and AI preferences, spanning supervised fine-tuning, DPO, RLHF and related post-training techniques.

• Models

A JAX library for using and fine-tuning Gemma, Google DeepMind's family of open-weight large language models built on Gemini research.

• Models