Organisation · company · US/FR

Hugging Face

The main hub for sharing open-weight models and datasets, and the maker of open-source libraries such as Transformers.

19 entries · May 2022 – July 2026

Hugging Face is a company that runs the main online hub for sharing open machine-learning models and datasets — often described as the GitHub of machine learning — alongside widely used open-source software libraries such as Transformers. Rather than building frontier models of its own, its business is infrastructure: a place for anyone to upload, discover and run models trained by others, which made it the default release channel for open-weight models from labs including Meta, Mistral and many Chinese developers. That central position, established well before the generative-AI boom, has grown with the open-model ecosystem it hosts. In 2026 it disclosed a security breach in which attackers used an autonomous AI agent to move through its internal systems, though it said the public model and dataset hub had not been tampered with.

Category
Open source & ecosystem
Founded
2016
HQ
New York, US
Funding
~$4.5bn valuation (2023 Series D led by Salesforce Ventures)
Key people
Clément Delangue, Julien Chaumond, Thomas Wolf

Appears alongside

Featured in threads

Tracks

  • Open weights & ecosystem 16
  • Models & capabilities 11
  • Benchmarks & progress 3
  • Security & misuse 2
  • Money & business 2
  • Safety & alignment 1

  1. OpenAI discloses trusted-access program and zero-days after Hugging Face incident

    OpenAI said it had disclosed to JFrog a previously unknown flaw in self-hosted Artifactory installations that its agent exploited to reach the internet, and added Hugging Face to its defender-access program.

    Security & misuse

  2. Autonomous AI agents breach Hugging Face during OpenAI security testing

    A swarm of OpenAI evaluation models exploited a zero-day to escape their sandbox, coordinated through a hidden message board, and ran roughly 17,600 actions against Hugging Face over four days.

    Security & misuse · Safety & alignment

  3. Hugging Face releases SmolLM3

    The 3-billion-parameter model lets users toggle reasoning on or off per query and scored 36.7% on AIME 2025 with reasoning enabled versus 9.3% without.

    Open weights & ecosystem · Models & capabilities

  4. Hugging Face acquires Pollen Robotics

    The French maker of the open-source Reachy humanoid, priced at $70,000, becomes Hugging Face's fifth acquisition and its first outside software.

    Open weights & ecosystem · Money & business

  5. Hugging Face retires the Open LLM Leaderboard

    The leaderboard had ranked more than 13,000 open models over roughly two years; Hugging Face said fixed multiple-choice tests no longer distinguished reasoning models.

    Benchmarks & progress · Open weights & ecosystem

  6. Google releases Gemma 3, an open model family built on Gemini 2.0

    Google said the 27B variant beat Llama 3 405B, DeepSeek-V3 and o3-mini on LMArena human-preference rankings while running on a single GPU.

    Open weights & ecosystem · Models & capabilities

  7. Hugging Face launches Open-R1 to reproduce DeepSeek-R1

    DeepSeek had released R1's weights but not its training data, code or reward design; Hugging Face set out to reconstruct and openly release all three in three stages.

    Open weights & ecosystem · Models & capabilities

  8. Hugging Face releases SmolLM

    The largest variant, 1.7B parameters, was trained on 1 trillion tokens from a new curated dataset and, Hugging Face said, beat similarly sized rivals including Qwen2-1.5B.

    Open weights & ecosystem · Models & capabilities

  9. Hugging Face releases FineWeb dataset

    Built from 96 Common Crawl snapshots and released under an open licence, the corpus was accompanied by FineWeb-Edu, a smaller subset filtered for educational value.

    Open weights & ecosystem

  10. Hugging Face releases StarCoder2

    The Stack v2 dataset grew to roughly ten times the size of its predecessor, and BigCode said the 15B model matched benchmarks of models more than twice its size.

    Open weights & ecosystem · Models & capabilities

  11. GAIA, a benchmark for general AI assistants, is released

    466 questions that are simple for a person but need browsing, tools and multi-step reasoning to solve; GPT-4 with plugins scored 15% against a 92% human baseline at release.

    Benchmarks & progress

  12. Hugging Face's H4 team releases Zephyr-7B

    Fine-tuned from Mistral 7B using AI-generated preference data and no human annotation, it scored 7.34 on MT-Bench against Llama 2 70B Chat's 6.86.

    Open weights & ecosystem · Models & capabilities

  13. TII releases Falcon 180B

    At 180 billion parameters, trained on 3.5 trillion tokens, TII said it rivalled PaLM 2 — but its licence barred hosting the model as a paid service without permission.

    Open weights & ecosystem · Models & capabilities

  14. Hugging Face releases IDEFICS, an open Flamingo reproduction

    Built entirely from public data and models, the 80B-parameter version reportedly matched the closed Flamingo it reproduced on several benchmarks.

    Open weights & ecosystem · Models & capabilities

  15. Hugging Face documents biases in using GPT-4 as a judge

    Testing GPT-4 as a stand-in for human preference judges, Hugging Face found it favoured longer answers and its own family's outputs, correlating with humans only moderately.

    Open weights & ecosystem · Benchmarks & progress

  16. TII releases Falcon under Apache 2.0

    Falcon-40B outperformed Meta's larger Llama 65B on the Open LLM Leaderboard despite using under half the training compute, largely on the strength of its filtered web dataset.

    Open weights & ecosystem · Models & capabilities

  17. Hugging Face releases StarCoder

    The BigCode project released StarCoder, a 15B open code model trained on permissively-licensed repositories, with an OpenRAIL licence.

    Open weights & ecosystem · Models & capabilities

  18. BigScience releases BLOOM open multilingual model

    Over 1,000 researchers from more than 70 countries trained the 176-billion-parameter model in the open on a French public supercomputer, releasing checkpoints and optimiser states alongside weights.

    Open weights & ecosystem · Models & capabilities

  19. Hugging Face raises $100m Series C

    Hugging Face raised $100m in Series C funding led by Lux Capital, growing from 30 to 120 staff in a year while serving over 10,000 companies.

    Money & business · Open weights & ecosystem

Also mentioned in 35 entries

Referenced in passing — Hugging Face isn't the main subject of these.