Llama 3.2 3B
Meta's 3B workhorse: 1.5M downloads, 128K context.
About
Llama-3.2-3B-Instruct is Meta's small-model workhorse (September 2024): 3B parameters, 128K-token context, 8 languages, tool use — with 1.5M Hugging Face downloads making it one of the most-deployed small models ever. Weights are gated (manual approval) under the Llama 3.2 Community License — custom, non-OSI: "open weights", never "open source". Ideal for on-device, edge, and cost-sensitive inference where a 3B model suffices; 3B capacity limits complex reasoning, and Llama 4 generations supersede it.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported (Meta, Sep 2024): strong 3B-class on MMLU, HumanEval; competitive with larger small models — provider-reported.
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 1,468,032 (peer-normalized); released 748 days ago. Manual review: Meta's 3B workhorse (1.5M dl, 128K); 3B limits reasoning; superseded by Llama 4 gens.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
- 9.0/10
- Maintenance · recency, releases, issue load
- 4.0/10
- Openness · license + docs
- 7.2/10
- Manual review · sanity read + red-flag check
- 8.0/10
- · HF downloads 1,468,032 (peer-normalized)
- · released 748 days ago
- · manual review: Meta's 3B workhorse (1.5M dl, 128K); 3B limits reasoning; superseded by Llama 4 gens