Gemma 4 E4B
vision
8B
Parameters
5,0 Go
Q4_K_M file
≥ 6,5 Go
Recommended VRAM
131 072
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.
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Cards on the site whose video memory covers the recommended 6,5 Go (file + 4,000-token context). An estimate, not a measurement. Click a card for the detailed estimate.
Technical sheet
- Published
- 2026-03-02
- Architecture
- 42 layers · 2 KV heads · dimension 256
- Attention
- Sliding window: 7 of 42 layers keep the whole context, the others only the last 512 tokens — a much lighter cache.
- Context cache (f16)
- ≈ 14 MB per 1,000 tokens · 0,4 Go for 32,768 tokens
- GGUF file
- bartowski/google_gemma-4-E4B-it-GGUF · google_gemma-4-E4B-it-Q4_K_M.gguf Download (5,0 Go)
- Official repo
- google/gemma-4-E4B-it
Public Hugging Face data (official config.json, GGUF repo). The context cache only counts full-attention layers.