Liquid AI · Hugging Face
SmolLM3 3B
small machines
3,1B
Parameters
1,8 Go
Q4_K_M file
≥ 3,3 Go
Recommended VRAM
65 536
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 3,3 Go (file + 4,000-token context). An estimate, not a measurement. Click a card for the detailed estimate.
Technical sheet
- Published
- 2025-07-08
- Architecture
- 36 layers · 4 KV heads · dimension 128
- Attention
- Standard: every layer keeps the whole context in memory.
- Context cache (f16)
- ≈ 70 MB per 1,000 tokens · 2,3 Go for 32,768 tokens
- GGUF file
- bartowski/HuggingFaceTB_SmolLM3-3B-GGUF · HuggingFaceTB_SmolLM3-3B-Q4_K_M.gguf Download (1,8 Go)
- Official repo
- HuggingFaceTB/SmolLM3-3B
Public Hugging Face data (official config.json, GGUF repo). The context cache only counts full-attention layers.