DeepSeek-R1-Distill-Qwen-7B
2recorded runs
213.3best tok/s
1verified
What the DeepSeek-R1-Distill-Qwen-7B numbers mean
The fastest verified result on our board is 39.8 output tok/s on an AMD RX 9060 XT 16GB at Q8_0 with a 4096-token context. That is about 25.2 ms per generated token — 500 tokens takes roughly 12.6 seconds. Prompt processing on the same record runs at 1844.1 tok/s, so a 2,000-token prompt is read in about 1.1 seconds. Peak VRAM was measured at 7.6 GB. Across the 2 records we hold for this model the range is 39.8–213.3 tok/s on 2 GPUs, because quantisation, context length and the engine build all move the number.
How much VRAM does DeepSeek-R1-Distill-Qwen-7B need?
DeepSeek-R1-Distill-Qwen-7B has 8.0B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.
| Quantisation | Estimated VRAM | Smallest card that fits |
|---|---|---|
| Q4_K_M (4-bit) | 6.0 GB | 8 GB |
| Q8_0 (8-bit) | 10.6 GB | 16 GB |
| FP16 (16-bit) | 19.2 GB | 24 GB |
Fastest GPUs for this model (best tok/s)
- RTX 5090213.3
- AMD RX 9060 XT 16GB39.8
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| AceReason-Nemotron-1.1-7B | 8B | 4.5 GB |
| DeepSeek-R1-0528-Qwen3-8B | 8B | 4.5 GB |
| gemma-4-E4B-it | 8B | 4.5 GB |
| granite-4.2-8b | 8B | 4.5 GB |
| InternVL3-8B | 8B | 4.5 GB |
| LFM2-8B-A1B | 8B | 4.5 GB |
| GPU | Model | Quant | Backend | Ctx | tok/s | prompt tok/s | VRAM GB | Source |
|---|---|---|---|---|---|---|---|---|
| AMD RX 9060 XT 16GB · 16 GB | DeepSeek-R1-Distill-Qwen-7B | Q8_0 | llama.cpp b9090 | 4096 | 39.8 ✓ | 1844.1 | 7.6 | src |
| RTX 5090 · 32 GB | DeepSeek-R1-Distill-Qwen-7B | Q4_K_M | lmstudio — | 2048 | 213.3 … | 803.7 | — | src |