Gemma 2 27B
27,2B
Parameters
15,5 Go
Q4_K_M file
≥ 17,0 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 17,0 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
- 46 layers · 16 KV heads · dimension 128
- Attention
- Sliding window: 23 of 46 layers keep the whole context, the others only the last 4096 tokens — a much lighter cache.
- Context cache (f16)
- ≈ 180 MB per 1,000 tokens · 5,8 Go for 32,768 tokens
- GGUF file
- bartowski/gemma-2-27b-it-GGUF · gemma-2-27b-it-Q4_K_M.gguf Download (15,5 Go)
- Official repo
- google/gemma-2-27b-it
Public Hugging Face data (official config.json, GGUF repo). The context cache only counts full-attention layers.