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Open weightsHugging Face/10 trustVerified

SmolLM 135M

Tiny 135M fully-open model for on-device AI.

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About

SmolLM 135M is the smallest member of Hugging Face's SmolLM family, released July 16, 2024. It was trained on 600 billion tokens of the SmolLM-Corpus, a curated mix of educational and synthetic data including Cosmopedia v2 and FineWeb-Edu, using grouped-query attention and a depth-first architecture.

Released under Apache 2.0 with base and instruct variants, it targets phones, browsers, and embedded devices where a 135M model can run entirely offline. It was a landmark showing that careful data curation can make sub-200M models genuinely useful.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

July 16, 2024

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

on-device-aiedge-inferenceresearch

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 126; Trending score 76/100 from researcher assessment.

Sources