Fin-R1 is out on Hugging Face A Large Language... Model for Financial Reasoning through Reinforcement Learningshow more

Current Vision-Language-Action (VLA) paradigms in autonomous driving primarily rely... on Imitation Learning (IL), which introduces inherent challenges such as distribution shift and causal confusion. Online Reinforcement Learning offers a promising pathway to address these issues through trial-and-error learning. However, applying online reinforcement learning to VLA models in autonomous driving is hindered by inefficient exploration in continuous action spaces. MindDrive, a VLA framework comprising a large language model (LLM) with two distinct sets of LoRA parameters. The one LLM serves as a Decision Expert for scenario reasoning and driving decision-making, while the other acts as an Action Expert that dynamically maps linguistic decisions into feasible trajectories. Paper Title: MindDrive: A Vision-Language-Action Model for Autonomous Driving via Project: Link:show more

Our Deepseek-R1-0528 is also live on Hugging Face!

Our powerful DeepSeek R1 Turbo is live on Hugging... Face! 🤗 It's improved in every way: 64K context + 16K max output + 30 throughput + 99.9% stability + 💰 CHEAPER THAN EVER Try it out on Hugging Face's model page 🫶 Julien Chaumondshow more

What if we could teach an AI to master... the strategic game of 2048 through pure reinforcement learning? I did exactly that with "Agent 2048" - fine-tuning Qwen 7B model using GRPO to develop spatial reasoning and merge strategies with zero prior gameplay SFTdata! Thanks to Hugging Face and Unsloth AI for their easy to use implementation kalomaze and will brown you might like this :)show more

Want to bring open-source vision language models to the... edge? 💻 Check out our Hugging Face article on deploying NVIDIA Cosmos Reasoning 2B across the NVIDIA Jetson family with vLLM and a Live VLM WebUI. 📖show more

OmniSVG announced on Hugging Face A Unified Scalable Vector... Graphics Generation Modelshow more

The Dream 7B (diffusion reasoning language model) is OUT!... 🚨 I built a demo so you can test it out (and check the diffusion process live) 𖣯🔍show more

$AMD just put out this post saying: “Deploying Deepseek... R1 distilled "reasoning" models on AMD Ryzen AI processors and Radeon graphics cards is incredibly easy and available now through LM Studio”show more

🤗 Novita now supports DeepSeek-V4-Pro-0813 on Hugging Face. •... 1M-token context window • Built for reasoning, coding, and agentic workflowsshow more

many parts of Hugging Face Hub is actually powered... by open machine learning models 🥹 translation feature is one of them, it uses a very tiny (600M) multilingual translation model by AI at Meta 💗show more

NVIDIA Nemotron 3 Nano Omni, a new multimodal reasoning... model, is now live on Jetson AI Lab and unifies vision, audio, and language into a single reasoning loop. 🙌 Power your NemoClaws by running this model with Ollama, vLLM and other inference frameworks on NVIDIA Jetson hardware. Try it ➡️show more

WORLDMEM is out on Hugging Face Long-term Consistent World... Simulation with Memoryshow more

ScenA is a new omni-TTS model out on Hugging... Face, it takes a text description + two voice references and produces a full mixed scene with sound effects 🎧 does pineapple belong on pizza? 🍕 🍍 ▶️ on Spacesshow more

INSANE...this is an Open Source Video model available for... free on Hugging Face. LongCat just dropped an amazing video avatar model that can do crazy things. And it's 100% Opensource.show more

Microsoft Asia just dropped Mage-Flow on Hugging Face a... smol 4B model for image generation and editing that matches much larger models in quality and it's fast! 4 steps in < 1s at 1024x1024 (model goes up to 4K) try out on spacesshow more

ByteDance Seed is back with SeedVR2, now on Hugging... Face! This one-step video restoration model leverages diffusion adversarial post-training for impressive results, even on high-resolution videos.show more

This #CVPR2026 paper from our research team is trending... #1 on Hugging Face 🤗 Meet LocateAnything: a vision-language detection model that rethinks bounding box prediction. For AI agents and robots, “seeing” is only useful if a model can pinpoint where something is fast enough to act. Trained on 138M high-quality samples, LocateAnything decodes bounding boxes in parallel instead of one coordinate at a time, improving localization accuracy while dramatically increasing throughput for visual grounding and detection. Project page:show more