Llama-4-Scout-17B-16E-Instruct
1recorded run
44.5best tok/s
1verified
What the Llama-4-Scout-17B-16E-Instruct numbers mean
The fastest verified result on our board is 44.5 output tok/s on an CMP 170HX at UD-Q3_K_XL with a 2048-token context. That is about 22.5 ms per generated token — 500 tokens takes roughly 11.2 seconds. Prompt processing on the same record runs at 584.4 tok/s, so a 2,000-token prompt is read in about 3.4 seconds. Peak VRAM was measured at 46.6 GB.
How much VRAM does Llama-4-Scout-17B-16E-Instruct need?
Llama-4-Scout-17B-16E-Instruct has 109.0B 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) | 71.3 GB | 96 GB |
| Q8_0 (8-bit) | 134.0 GB | 192 GB |
| FP16 (16-bit) | 251.5 GB | multi-GPU or CPU offload |
Fastest GPUs for this model (best tok/s)
- CMP 170HX44.5
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| gpt-oss-120b | 117B | 65.8 GB |
| Laguna-S-2.1 | 118B | 66.4 GB |
| NVIDIA-Nemotron-3.5-Super-VL-120B-A12B | 120B | 67.5 GB |
| Qwen 3.8 Flash | 125B | 70.3 GB |
| Qwen 3.8 Flash-Next Base | 125B | 70.3 GB |
| Ling-3.0-flash | 127B | 71.4 GB |