LLM Reference
Hugging Face TB

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 106d ago

stale

Information

Founded2016
New York City, New York, United States

Release cadence

Dated releases
3
Latest model
SmolLM 135M
Latest date
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
Selection source
Best sourced coding Q/$
Coding grade
unknown
Benchmark / output price
Not enough sourced benchmark and price coverage

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.

Featured models

ModelReleasedContextInput price ($/1M)Output price ($/1M)LicenseOpenness
SmolLM 135M2024-12-16---Apache 2.0Open source
SmolLM 360M2024-12-16---Apache 2.0Open source
SmolLM 1.7B2024-12-16---Apache 2.0Open source

Model families

Recent releases

  1. SmolLM 135M- 2024-12-16
  2. SmolLM 360M- 2024-12-16
  3. SmolLM 1.7B- 2024-12-16

Explore related pages

Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.