Qwen2.5-0.5B-Instruct
1recorded run
1060.0best tok/s
1verified
What the Qwen2.5-0.5B-Instruct numbers mean
The fastest verified result on our board is 1060.0 output tok/s on an RTX PRO 6000 Blackwell at Q8_0 with a 4608-token context. That is about 0.9 ms per generated token — 500 tokens takes roughly 0.5 seconds. Prompt processing on the same record runs at 116339.6 tok/s, so a 2,000-token prompt is read in about 0.0 seconds. Peak VRAM was measured at 1.8 GB.
How much VRAM does Qwen2.5-0.5B-Instruct need?
Qwen2.5-0.5B-Instruct has 0.5B 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) | 1.1 GB | 8 GB |
| Q8_0 (8-bit) | 1.4 GB | 8 GB |
| FP16 (16-bit) | 1.9 GB | 8 GB |
Fastest GPUs for this model (best tok/s)
- RTX PRO 6000 Blackwell1060.0
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| SmolLM2-360M-Instruct | 360M | 0.2 GB |
| LFM2-350M | 350M | 0.2 GB |
| LFM2.5-350M | 350M | 0.2 GB |
| MobileLLM-350M | 350M | 0.2 GB |
| LFM2.5-230M | 230M | 0.1 GB |
| Qwen3.5-0.8B | 800M | 0.5 GB |
| GPU | Model | Quant | Backend | Ctx | tok/s | prompt tok/s | VRAM GB | Source |
|---|---|---|---|---|---|---|---|---|
| RTX PRO 6000 Blackwell · 96 GB | Qwen2.5-0.5B-Instruct | Q8_0 | llama.cpp 876a432 | 4608 | 1060.0 ✓ | 116339.6 | 1.8 | src |