Models / Gemma 3generated from capability-matrix.json
Gemma 3
Google's Gemma 3, from 270M to 27B. The 4B and larger read images (verified on the 4B).
chatimagessafetensors, GGUF
Get it
No vetted checkpoint yet. You can pull any GGUF of this family by repo and quant. goinfer checks it fits before downloading, but nobody here has timed it.
goinfer-chat pull <owner>/<repo>:<quant>What hasn't been shown
- No vetted checkpoint, so there's no fit verdict, no speed and no tool-calling result for this family.
How sure we are
Against the released model100.0%
picks the same next token as HuggingFace
0.99972
closest the raw scores get at their worst position (cosine, 1.00000 is identical; bar starts at 0.95)
full-oracle 100.0%/0.99972 · what parity-gated means
Measured speed · decode, tokens per second
not measured — no vetted checkpoint to measure
Architecture, for the curious
- model_type
- gemma3, gemma3_text
- design
- softmax-GQA
- experts
- dense
- attention window
- interleave
- QK-norm
- yes
- RoPE
- dual-base
- norm
- RMSNorm, sandwich
- activation
- GeGLU
- tied head
- yes
- modality
- text (+ vision via VL text_config)
- GPU-resident
- eligible
registry description: Google Gemma 3 dense (270M/1B/4B/12B/27B)