Global

> Kronos is the first open-source foundation model for financial candlesticks (K-lines), > trained on data from over 45 global exchanges.

This repository provides a native MOSS-Image plugin for ComfyUI.

8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. cpp and MLX.

12 · NVIDIA GPU with BF16 support and 24 GB VRAM. YuE2 produces 48 kHz stereo audio without quantization. Model files download from Hugging Face on first use.

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

PyTorch implementation of VisionHOPE, a visual backbone based on self-referential nested learning (SRNL).

LTX-2 is the first DiT-based audio-video foundation model that contains all core capabilities of modern video generation in one model: synchronized audio and video, high fidelity, multiple performance modes, production-ready outputs, API access, and open access.

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

LTX-2 is the first DiT-based audio-video foundation model that contains all core capabilities of modern video generation in one model. LTX-2 is now the primary home for LTX development and includes significant improvements:

[2026-03-10] The Canopy Height Maps v2 (CHMv2) model and inference code are now available (more details on downloading the model weights and using the code here). The model weights are also available in Hugging Face Hub and supported by the Hugging Face Transformers library.

3B model is capable of generating videos at 720P resolution. However, due to limited training at this resolution, the results are generally less stable compared to 480P. For optimal performance, we recommend using 480P resolution.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

json") to use FlashAttention-3 or xformers once installed.

Kimi K3 is an open-weight, native multimodal agentic model and our most capable model to date. 8T-parameter model built on Kimi Delta Attention (KDA) and Attention Residuals (AttnRes), with native vision capabilities and a 1-million-token context window.

Welcome to GR00T Whole-Body Control (WBC)! This is a unified platform for developing and deploying advanced humanoid controllers. 6 and GEAR-SONIC

5 FM → Stage1 TF-AnyFlow → Stage2 DMD via SGF, turning a bidirectional video model into a camera-controlled few-step autoregressive model.

This is the official repository for Attention Residuals (AttnRes), a drop-in replacement for standard residual connections in Transformers that enables each layer to selectively aggregate earlier representations via learned, input-dependent attention over depth.

📥 Model Download | ⚡ Quick Start | 📜 License | 📖 Citation

Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.

Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

AuK: An Open-Source Foundational Model for Speech Generation and Editing

We introduce Context Language Models (CLMs), language models that natively manage their own context. We implement this by treating the context as a file and allowing the model to make unrestricted updates to this file.

Z-Image is a powerful and highly efficient image generation model family with 6B parameters. Currently there are four variants:

Thank you for developing with Llama models. 1 release, we’ve consolidated GitHub repos and added some additional repos as we’ve expanded Llama’s functionality into being an e2e Llama Stack.

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

13 and is available on Linux, MacOS, and Windows.

SAM 3D Objects is one part of SAM 3D, a pair of models for object and human mesh reconstruction. If you’re looking for SAM 3D Body, click here.

OpenSquilla is a token-efficient, microkernel AI agent. A local model router sends each turn to the cheapest model that can handle it, while persistent memory, a layered sandbox, built-in web search, and on-device embeddings round out a single shared turn loop.