DeepSeek
R1 Distill 1.5B Qwen
reasoning
1,8B
Parameters
1,0 Go
Q4_K_M file
≥ 2,5 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.
Measure my card →Which cards should it fit on?
Cards on the site whose video memory covers the recommended 2,5 Go (file + 4,000-token context). An estimate, not a measurement. Click a card for the detailed estimate.
Technical sheet
- Published
- 2025-01-20
- Architecture
- 28 layers · 2 KV heads · dimension 128
- Attention
- Standard: every layer keeps the whole context in memory.
- Context cache (f16)
- ≈ 27 MB per 1,000 tokens · 0,9 Go for 32,768 tokens
- GGUF file
- bartowski/DeepSeek-R1-Distill-Qwen-1.5B-GGUF · DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M.gguf Download (1,0 Go)
- Official repo
- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
Public Hugging Face data (official config.json, GGUF repo). The context cache only counts full-attention layers.