FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.
Pika H3 Flex: video and audio generation inference
Python framework for recursive, task-level and harness-level optimization of agent harnesses around fixed LLM weights, tested on professional benchmarks.
DeepInfer: High-performance, large-scale inference framework for DeepSeek models
A computer, compiled into the weights of a language model. An exact CPU inside Qwen3.5-4B, with Gated DeltaNet state as RAM.
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.
Run 35B MoE models in ~2.5 GB of RAM. Weights stream from SSD; a trained router predicts loads a step ahead. Mac, iPhone, Android, Windows supported
An NES CPU compiled into the weights of a stock Qwen3.5 model
A straightforward method for training your LLM, from downloading data to generating text.
Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own
"RAG-Anything: All-in-One RAG Framework"
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
Skill training with a corruption and reconstruction loop: train an agent's skill library, not its weights.
SGLang is a high-performance serving framework for large language models and multimodal models.
A lightweight, powerful framework for multi-agent workflows
This is the official repo for paper InteractiveWorld A Verifiable Human-Centric Environment for Building Better Interactive MLLM Assistants
Official Python inference and LoRA trainer package for the LTX-2 audio–video generative model.
斑海豹 — Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions. 小海豹,大决断。
🦀 Jumper — an crab robot.
Native vLLM serving for Jev decision models
A framework for continual learning and recursive self-improvement through harness adapter evolution.
Framework for training small decision models through play, using Red Alert 2 and Tank War as test environments.
VLX-Seek is an efficient VLM that grounds fine-grained visual targets with high precision in wild environments.
SANA & Sol: Efficient Generative Models and Full-Stack Training & Inference Engines for Image, Video, and World Modeling
Scaling in Games: Continued Pre-Training for Embodied Agents in Diverse Virtual Worlds. Weights on Hugging Face.
TokenSpeed is a speed-of-light LLM inference engine.
Official Hi3D v1.0: high-resolution 3D geometry refinement built on Sparc3D. Inference code, model weights, and documentation.
QuantMind(量化大脑)开源版是一款面向个人开发者与投研团队的 AI 原生多市场量化交易平台。深度集成微软 Qlib、RD-Agent 因子演化与 QuantBot全能工作台,提供从 300+ 维因子挖掘、13 种机器学习与深度学习模型工场、Qlib 高性能回测、截面批量推理、7x24 实时舆情情绪分析,到通达信深度联动(板块推送/预警雷达/闪电下单)与实盘模拟交易的完整闭环。支持 A股、港股、美股、期货及区块链。可免费商用,系统采用 Docker Compose 一键私有化部署,数据与模型完全本地化,保障策略隐私,功能零门槛无限制。
Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.
[ECCV 2026] Official implementation of "HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models"
Our lightning-fast inference engine.
Official implementation of "AReA: Adaptive Receptive-Field Attention for Efficient High-Resolution Diffusion Transformers"
We propose Prism, a dynamic sparse attention framework for natively training joint video-audio generation models at 2K.