The ByteDance Seed team was established in 2023, dedicated to discovering new approaches to general intelligence, pushing the boundaries of AI. The team's research areas include LLM, speech, vision, world models, infrastructure, AI Infra, and next-generation AI interactions. The team operates labs in China, Singapore, the United States, and other locations.

Designed for high-throughput, low-latency production environments. M2.5 delivers industry-leading coding and reasoning capabilities at a fraction of the cost.

Hundreds of models & providers. One command to find what runs on your hardware. - AlexsJones/llmfit

HunyuanImage-3.0: A Powerful Native Multimodal Model for Image Generation - Tencent-Hunyuan/HunyuanImage-3.0

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Perfect Green Screen Keys

ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型 - zai-org/ChatGLM3

Democratizing Open and Compliant LLMs for Global Language Environments: 8B and 70B open-data open-weights models, multilingual in 1000 languages

molequla.ai. Contribute to ariannamethod/molequla development by creating an account on GitHub.

microgpt. GitHub Gist: instantly share code, notes, and snippets.

The best ChatGPT that $100 can buy. Contribute to karpathy/nanochat development by creating an account on GitHub.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team, Alibaba Cloud. - QwenLM/Qwen3-Coder

The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud. - QwenLM/Qwen

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

A series of foundation models for transparent AI in Europe

A video translation and dubbing tool powered by LLMs, offering professional-grade translations and one-click full-process deployment. It can generate content optimized for platforms like YouTube，T...

Like Manus, Computer Use Agent(CUA) and Omniparser, we are computer-using agents.AI-driven local automation assistant that uses natural language to make computers work by themselves - yuruotong1/au...

Wan: Open and Advanced Large-Scale Video Generative Models - Wan-Video/Wan2.1

Janus-Series: Unified Multimodal Understanding and Generation Models - deepseek-ai/Janus

Agent framework and applications built upon Qwen=2.0, featuring Function Calling, Code Interpreter, RAG, and Chrome extension. - QwenLM/Qwen-Agent

Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud. - QwenLM/Qwen2.5

Please check out the Quickstart Guide to Flux for all the info you need to get started!FLUX.1 [dev] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. For more information, please read our blog post.Key FeaturesCutting-edge output quality, second only to our state-of-the-art model FLUX.1 [pro].Competitive prompt following, matching the performance of closed source alternatives .Trained using guidance distillation, making FLUX.1 [dev] more efficient.Open weights to drive new scientific research, and empower artists to develop innovative workflows.Generated outputs can be used for personal, scientific, and commercial purposes as described in the flux-1-dev-non-commercial-license.UsageWe provide a reference implementation of FLUX.1 [dev], as well as sampling code, in a dedicated github repository. Developers and creatives looking to build on top of FLUX.1 [dev] are encouraged to use this as a starting point.Learn More Here: https://huggingface.co/black-forest-labs/FLUX.1-dev

Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders - fkryan/gazelle

We’re on a journey to advance and democratize artificial intelligence through open source and open science.