Llama 3.2 1B
Meta's 1B tiny model: 6.8M downloads, runs on anything.
About
Llama-3.2-1B-Instruct is Meta's smallest chat model (September 2024): 1B parameters, 128K-token context, 8 languages — with 6.8M Hugging Face downloads, the most-downloaded model in this batch. Weights are gated (manual approval) under the Llama 3.2 Community License — custom, non-OSI: "open weights", never "open source". It runs on practically anything (phones, browsers, Raspberry Pi). Set expectations: 1B parameters handles simple chat, classification, and structured extraction — not reasoning or complex coding.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported (Meta, Sep 2024): competitive 1B-class on MMLU, HumanEval — provider-reported. Tiny-model benchmarks are noisy; test your task.
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 7/10
Scored 7/10 (verified tier, metrics-v1). Evidence: HF downloads 6,774,617 (peer-normalized); released 748 days ago. Manual review: Meta's 1B tiny model (6.8M dl, 128K); 1B = simple tasks only; superseded by Llama 4 gens. License: Llama 3.2 Community License — custom, non-OSI; describe as 'open weights', never 'open source'.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 9.9/10
- Maintenance · recency, releases, issue load
- 4.0/10
- Openness · license + docs
- 7.2/10
- Manual review · sanity read + red-flag check
- 7.0/10
- · HF downloads 6,774,617 (peer-normalized)
- · released 748 days ago
- · manual review: Meta's 1B tiny model (6.8M dl, 128K); 1B = simple tasks only; superseded by Llama 4 gens