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Hugging Face

Infrastructure · chipsUnited States

A public marketplace where AI models are gathered and distributed. Rather than a company that builds models itself, it functions as "the GitHub of models," hosting publicly available models built by others. The Hub hosts a wide range of open-weight models, from transformer-based models to image and speech generation models. The structure is such that various providers plug in inference infrastructure for users who want to download and run models themselves, and in August 2026, Baseten joined this list as an inference provider for Hugging Face.

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2026.08.212026.09.19 · High 4 · Low 7 · Now 6

Hugging Face · Related stories

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Hugging Face · Recent announcements

  1. 470StudentSim: Training LLM-based Student Simulators2026-08-31
  2. 346Qwen-Drive-1.0: An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving2026-08-30
  3. 7,881🤗💚영상2026-09-03
  4. 98Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-Improvement2026-08-30
  5. 93DreamX-Creator: Democratizing Native Audio-Video Generation at 2K Resolution2026-08-30
  6. 77SMELT: Scaling Laws for Compute-Matched MoE Looped Transformers2026-08-31
  7. 72Lucida: Parse, Generate, and Place for Composable Real-to-Sim Scene Modeling2026-08-30
  8. 42H3-World: Turning Language Understanding into World Control2026-08-31
  9. 40ZimaBlue: Evolving Generalizable World Action Models through Scalable Video Pre-training2026-08-30
  10. 39Normalized Low-Rank Adaptation2026-08-30
  11. 35PaperGym: Rubric-Centered Evolution for Research-Plan Generation2026-08-30
  12. 32From Production Traffic to Post-Training: Building a Self-Hosted LLM That Covers the Corporate Request Mix2026-08-31
  13. 32On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability2026-08-30
  14. 31SolarWM: Open Data and Scalable Training for Long-Horizon Video World Models2026-09-01
  15. 26CogEvol: Towards Efficient and Reliable Learning Environment Generation2026-08-30
  16. 26Hi-Q: Hierarchical Evidence-guided Query Refinement for Multi-Hop Question Answering2026-08-30
  17. 26LightNav-0: Eliciting VLM Spatial Intelligence for Generalist Embodied Navigation2026-08-30
  18. 22Evaluating Multimodal LLMs as Generalist Vision-Language-Action Agents for Drone Control: Commanding, Approaching, Tracking and Searching2026-08-31
  19. 22Uncovering Understanding-Generation Synergy in Native Unified Multimodal Models: From Representation, Task to System2026-08-31
  20. 22Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence2026-08-30
  21. 20Safin-1: Safety from Within through Memory-Native State Evolution2026-08-30
  22. 211Training Agents 4: From reward functions to environments.영상2026-09-10
  23. 15DiagEvo: Diagnosis-Guided Self-Evolution via Hierarchical Error Memory2026-08-31
  24. 14It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning2026-08-31
  25. 13Cliff: Learning Process Rewards from the First Mistake2026-09-01