Mistral AI
Ministral 3 14B
small machinesvision
13,9B
Parameters
7,7 Go
Q4_K_M file
≥ 9,2 Go
Recommended VRAM
262 144
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 9,2 Go (file + 4,000-token context). An estimate, not a measurement. Click a card for the detailed estimate.
Technical sheet
- Published
- 2025-10-31
- Architecture
- 40 layers · 8 KV heads · dimension 128
- Attention
- Standard: every layer keeps the whole context in memory.
- Context cache (f16)
- ≈ 156 MB per 1,000 tokens · 5,0 Go for 32,768 tokens
- GGUF file
- bartowski/mistralai_Ministral-3-14B-Instruct-2512-GGUF · mistralai_Ministral-3-14B-Instruct-2512-Q4_K_M.gguf Download (7,7 Go)
- Official repo
- mistralai/Ministral-3-14B-Instruct-2512
Public Hugging Face data (official config.json, GGUF repo). The context cache only counts full-attention layers.