Gemma 3 1B
vision
1B
Parameters
0,8 Go
Q4_K_M file
≥ 2,3 Go
Recommended VRAM
32 768
Max context
Not measured yet
No card has run the TokenBench protocol on this model yet. The current protocol covers a selection of models; benchmarking any catalog model from the app is coming soon.
Measure my card →Which cards should it fit on?
Cards on the site whose video memory covers the recommended 2,3 Go (file + 4,000-token context). An estimate, not a measurement. Click a card for the detailed estimate.
Technical sheet
- Published
- 2025-03-10
- Architecture
- 26 layers · 1 KV heads · dimension 256
- Attention
- Sliding window: 4 of 26 layers keep the whole context, the others only the last 512 tokens — a much lighter cache.
- Context cache (f16)
- ≈ 4 MB per 1,000 tokens · 0,1 Go for 32,768 tokens
- GGUF file
- bartowski/google_gemma-3-1b-it-GGUF · google_gemma-3-1b-it-Q4_K_M.gguf Download (0,8 Go)
- Official repo
- google/gemma-3-1b-it
Public Hugging Face data (official config.json, GGUF repo). The context cache only counts full-attention layers.