Hugging Face TB
3 models across 1 family · Latest: SmolLM 135M (2024-12)
Community-driven open-source AI innovation
Hugging Face TB's portfolio covers 3 active models across 1 current family, spanning general LLM work. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 0 workload areas across 3 active tracked models; last verified 2026-05-19.
Use it for
- Teams evaluating general LLM work across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 3 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
3
Current models from this lab, excluding deprecated ones
Active families
1
Current model families from this lab
Open catalog
3 open
3 open source / 0 open weights
Lowest output price
Not tracked
No provider output pricing linked yet
Latest dated release
2024-12-16
SmolLM 135M
Freshness
2026-05-19
Researched 60d ago
Information
Release cadence
Showing 3 recent dated releases (full timeline below). Latest: SmolLM 135M (2024-12-16).
Where this lab wins
Not enough capability or benchmark coverage yet to call strengths for this lab.
Flagship quality / price signal
Flagship: SmolLM 135M (best sourced coding quality-per-dollar in this portfolio).
Quality-per-dollar unavailable for this flagship — benchmark coverage or output token pricing is still missing.
Hugging Face TB is an American AI research organization founded in 2016. Community-driven open-source AI innovation. Hugging Face TB ships 1 model family totaling 3 models, with the most recent release SmolLM 135M in 2024-12. Notable families include SmolLM. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators can. View official API endpoints, benchmark performance, and coding/agent fit for every Hugging Face TB model.
About
Hugging Face has swiftly transformed from its origins as a chatbot app in New York City into a pivotal contributor to the AI landscape, particularly in the realm of generative AI and large language models. At its core, Hugging Face is driven by the mission to democratize AI, making advanced NLP technologies accessible to the wider public. This ethos has made it a distinguishing figure in the field, embracing open-source principles and encouraging community-driven advancements. Central to Hugging Face's offerings is the Transformers library, an open-source toolkit that hosts a wide array of pre-trained models based on the transformer architecture. These models cater to diverse NLP requirements like text generation, translation, and question-answering. The library's user-friendly design and robust documentation have spurred its widespread adoption among both researchers and developers, thereby accelerating AI integration and innovation across sectors. Moreover, Hugging Face has established a multifaceted ecosystem with its Model Hub and Datasets library, which serves as a centralized space for sharing models and accessing datasets, further simplifying the training and evaluation processes. The introduction of Spaces allows for easy deployment and sharing of machine learning applications, reinforcing its initiative to make cutting-edge AI tools universally accessible. The impact of Hugging Face on the AI community extends beyond its tools to its collaborative nature, which promotes an open exchange of ideas and resources. This environment has catalyzed significant milestones, including the development of BLOOM, a state-of-the-art multilingual large language model created through the BigScience Research Workshop. The company's approach has not only democratized AI but also cemented its position as a leader in fostering technological progress through community engagement and open science.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| SmolLM 135M | 2024-12-16 | - | - | - | Apache 2.0 | Open source |
| SmolLM 360M | 2024-12-16 | - | - | - | Apache 2.0 | Open source |
| SmolLM 1.7B | 2024-12-16 | - | - | - | Apache 2.0 | Open source |
Model families
Recent releases
- SmolLM 135M- 2024-12-16
- SmolLM 360M- 2024-12-16
- SmolLM 1.7B- 2024-12-16
FAQ
Who founded Hugging Face TB and when?
Hugging Face TB was founded in 2016 and is associated with New York City, New York, United States.
What models has Hugging Face TB released?
Hugging Face TB ships 3 models across 1 family: SmolLM.
Is Hugging Face TB's technology open source?
All tracked models are released under Open Source.
Where is Hugging Face TB headquartered?
Hugging Face TB is headquartered in New York City, New York, United States.
What is Hugging Face TB known for?
Community-driven open-source AI innovation. Its most prominent tracked family is SmolLM.
How can I access Hugging Face TB's models?
Hugging Face TB's provider availability is tracked on model pages as API and hosting data is verified.
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.