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Llama-4-Scout-17B-16E-Instruct

Llama family · 109.0B params

1recorded run
44.5best tok/s
1verified

Evidence: 1 sourced run · 1 independent source · first recorded Sep 4, 2026. What these labels mean.

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.

QuantisationEstimated VRAMSmallest card that fits
Q4_K_M (4-bit)71.3 GB96 GB
Q8_0 (8-bit)134.0 GB192 GB
FP16 (16-bit)251.5 GBmulti-GPU or CPU offload

Long contexts and large batches raise the real number — read the smallest card as "possible with a reduced context". Measured throughput is on the benchmark board.

Fastest GPUs for this model (best tok/s)
  1. CMP 170HX44.5

Models with a similar footprint

ModelParamsQ4_K_M weights
gpt-oss-120b117B65.8 GB
Laguna-S-2.1118B66.4 GB
NVIDIA-Nemotron-3.5-Super-VL-120B-A12B120B67.5 GB
Qwen 3.8 Flash125B70.3 GB
Qwen 3.8 Flash-Next Base125B70.3 GB
Ling-3.0-flash127B71.4 GB

Ranked by distance from Llama-4-Scout-17B-16E-Instruct's parameter count. Full benchmark board.

All benchmarks Methodology

GPUModelQuantBackendCtx tok/sprompt tok/sVRAM GBSource
CMP 170HX · 64 GBLlama-4-Scout-17B-16E-InstructUD-Q3_K_XLllama.cpp 0.28.0204844.5 ✓584.446.6src
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