Gemma 2 9B
9,2B
Parameters
5,4 Go
Q4_K_M file
≥ 6,9 Go
Recommended VRAM
8 192
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 6,9 Go (file + 4,000-token context). An estimate, not a measurement. Click a card for the detailed estimate.
Technical sheet
- Published
- 2024-06-24
- Architecture
- 42 layers · 8 KV heads · dimension 256
- Attention
- Sliding window: 21 of 42 layers keep the whole context, the others only the last 4096 tokens — a much lighter cache.
- Context cache (f16)
- ≈ 164 MB per 1,000 tokens · 5,3 Go for 32,768 tokens
- GGUF file
- bartowski/gemma-2-9b-it-GGUF · gemma-2-9b-it-Q4_K_M.gguf Download (5,4 Go)
- Official repo
- google/gemma-2-9b-it
Public Hugging Face data (official config.json, GGUF repo). The context cache only counts full-attention layers.