Gemma 3 4B
Google's 4B multimodal: text+vision, 128K context, 1.2M downloads.
About
Gemma-3-4B-IT is Google's small multimodal model (February 2025): 4.3B parameters handling text and images, 128K-token context, 140+ languages — with 1.2M Hugging Face downloads. It brought vision to the 4B class with genuinely strong quality-per-parameter. Weights are gated (manual approval) under the Gemma Terms of Use — custom, non-OSI: "open weights", never "open source". The go-to for on-device multimodal (phones, laptops); 4B capacity limits deep reasoning.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported (Google, Feb 2025): best-in-class 4B multimodal on MMMU, DocVQA; strong multilingual — 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 1,171,300 (peer-normalized); released 600 days ago. Manual review: Google's 4B multimodal (text+vision, 128K, 1.2M dl); 4B limits reasoning depth. License: Gemma Terms of Use — 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
- 8.9/10
- Maintenance · recency, releases, issue load
- 5.0/10
- Openness · license + docs
- 5.8/10
- Manual review · sanity read + red-flag check
- 8.0/10
- · HF downloads 1,171,300 (peer-normalized)
- · released 600 days ago
- · manual review: Google's 4B multimodal (text+vision, 128K, 1.2M dl); 4B limits reasoning depth