Hugging Face Open Models: Model List, Licenses and Articles
About Hugging Face
Hugging Face runs the platform for sharing models and datasets itself, but it also builds and releases its own models. This page covers two of its organizations: HuggingFaceTB (Hugging Face Smol Models Research), which studies small models, and HuggingFaceM4, its multimodal team working on vision-language models.
It stands out for releasing small models together with how they were trained and on what data. The organization card also points to its guide to training small models (The Smol Training Playbook) and high-quality pre-training datasets.
What It Releases
- SmolLM3 (July 2025): according to the model card, a 3B language model that pushes the limits of small models, with dual-mode reasoning (thinking on or off), 6 languages and long context, and “fully open", down to its training details.
- SmolVLM and SmolVLM2 (2025): small 256M, 500M and 2.2B models that also read images and video.
- Idefics (HuggingFaceM4, 2023 to 2024): vision-language models from 8B to 80B.
- There are also intermediate training checkpoints and 100M-class experimental models.
Licenses
SmolLM, SmolVLM and Idefics2 and 3 are Apache-2.0. The early Idefics (9B, 80B) use a custom license (other). Read each model’s license text before use. This summary is not legal advice.
Running Them Locally
- Most models are small enough to try even on a CPU-only laptop. SmolLM3 has an official ONNX build, and the earlier SmolLM2 has official GGUF builds.
- For recent models, use third-party GGUF conversions.
Sources: the organization cards of HuggingFaceTB and HuggingFaceM4; the model card of HuggingFaceTB/SmolLM3-3B; the model lists of both organizations on Hugging Face (all as of 2026-09-26).
Our Coverage and Data
Local Model Watch has published 0 article(s) on Hugging Face’s own models, 0 on third-party fine-tunes and quantized builds based on them, and 1 from its official blog. The model list below is collected by code from Hugging Face every day. Part of our publisher index; model families link to their family pages.
At a Glance
| Item | Value |
|---|---|
| Hugging Face organization | HuggingFaceTB, HuggingFaceM4 |
| Models on Hugging Face | 118 |
| Articles on its own models | 0 |
| Articles on derived models | 0 |
| Articles from its official blog | 1 |
Recent Models on Hugging Face
The publisher lists 118 models in total on Hugging Face. Below are up to 15 of the most recent generative models (text, image, video, audio and so on), the scope of this site, per organization. Classifiers, feature extractors, research components and repositories without a model card are omitted, and the publisher’s own quantized builds and helper variants are folded into the row of the original model. Parameter counts are left blank for repositories that pack weights into integer types, where Hugging Face’s count is not the real parameter count.
HuggingFaceTB (84 models)
→ Scroll horizontally to see all columns
| Released | Model | Task | Parameters | License | Official variants |
|---|---|---|---|---|---|
| 2026-04-24 | HuggingFaceTB/nanowhale-100m | text generation | 110M | apache-2.0 |
base |
| 2026-04-03 | HuggingFaceTB/SmolLM3-3B-GSM8K-SFT | text generation | 3.1B | apache-2.0 |
— |
| 2026-03-25 | HuggingFaceTB/qwen3-1.7b-gsm8k-sft | text generation | 1.7B | apache-2.0 |
— |
| 2025-07-21 | HuggingFaceTB/SmolLM3-3B-checkpoints | — | — | apache-2.0 |
— |
| 2025-07-08 | HuggingFaceTB/SmolLM3-3B | text generation | 3.1B | apache-2.0 |
ONNX, Base |
| 2025-04-14 | HuggingFaceTB/SmolVLM2-2.2B-Base | vision-language | 2.2B | apache-2.0 |
— |
| 2025-02-27 | HuggingFaceTB/SmolLM2-135M-intermediate-checkpoints | — | — | apache-2.0 |
— |
| 2025-02-27 | HuggingFaceTB/SmolLM2-360M-intermediate-checkpoints | — | — | apache-2.0 |
— |
| 2025-02-26 | HuggingFaceTB/SmolLM2-1.7B-intermediate-checkpoints | — | — | apache-2.0 |
— |
| 2025-02-11 | HuggingFaceTB/SmolVLM2-500M-Video-Instruct | vision-language | 507M | apache-2.0 |
— |
| 2025-02-11 | HuggingFaceTB/SmolVLM2-256M-Video-Instruct | vision-language | 256M | apache-2.0 |
— |
| 2025-02-09 | HuggingFaceTB/SmolVLM2-2.2B-Instruct | vision-language | 2.2B | apache-2.0 |
— |
| 2025-01-20 | HuggingFaceTB/SmolVLM-500M-Instruct | vision-language | 507M | apache-2.0 |
— |
| 2025-01-18 | HuggingFaceTB/SmolVLM-256M-Instruct | vision-language | 256M | apache-2.0 |
— |
| 2025-01-13 | HuggingFaceTB/SmolVLM-500M-Base | vision-language | 507M | — | — |
HuggingFaceM4 (34 models)
→ Scroll horizontally to see all columns
| Released | Model | Task | Parameters | License | Official variants |
|---|---|---|---|---|---|
| 2024-08-06 | HuggingFaceM4/Idefics3-8B-Llama3 | vision-language | 8.5B | apache-2.0 |
— |
| 2024-06-21 | HuggingFaceM4/Florence-2-DocVQA | vision-language | 823M | — | — |
| 2024-05-03 | HuggingFaceM4/Meta-Llama-3-8B-tokenizer-pad-is-eos | — | — | — | — |
| 2024-05-02 | HuggingFaceM4/idefics2-8b-chatty | vision-language | 8.4B | apache-2.0 |
AWQ |
| 2024-04-23 | HuggingFaceM4/tiny-random-Llama3ForCausalLM | text generation | 4M | — | — |
| 2024-04-10 | HuggingFaceM4/idefics2-8b | vision-language | 8.4B | apache-2.0 |
base-AWQ, AWQ, base |
| 2024-03-29 | HuggingFaceM4/tiny-random-vmistral-m4-split-lm_head | text generation | 2M | — | — |
| 2024-03-10 | HuggingFaceM4/idefics2_raven_finetuned | text generation | 8.4B | apache-2.0 |
— |
| 2024-01-09 | HuggingFaceM4/VLM_WebSight_finetuned | text generation | 8.2B | apache-2.0 |
— |
| 2023-07-12 | HuggingFaceM4/idefics-9b | text generation | 8.9B | other |
instruct |
| 2023-07-06 | HuggingFaceM4/idefics-80b | text generation | 80.0B | other |
instruct |
| 2023-01-19 | HuggingFaceM4/tiny-random-vopt-clip | text generation | — | bigscience-openrail-m |
— |
From the Hugging Face API. Last changed 2026-09-27 (JST). Collected by code.
From Its Official Blog
Last updated 2026-09-27 (JST). The explanation at the top of this page was written with the help of AI from the primary sources it cites. The tables and lists under “Our Coverage and Data" are assembled by code from our article log and the Hugging Face API.