Qwen2.5-VL-7B-Instruct
1recorded run
222.4best tok/s
0verified
What the Qwen2.5-VL-7B-Instruct numbers mean
The fastest result on our board is 222.4 output tok/s on an RTX 5090 at Q4_K_S with a 2048-token context. That is about 4.5 ms per generated token — 500 tokens takes roughly 2.2 seconds. Prompt processing on the same record runs at 2215.4 tok/s, so a 2,000-token prompt is read in about 0.9 seconds.
How much VRAM does Qwen2.5-VL-7B-Instruct need?
Qwen2.5-VL-7B-Instruct 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 5090222.4
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 |
| DeepSeek-R1-Distill-Qwen-7B | 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 |