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

by meta-llama

109B params · image-text-to-text · 1.2k likes · 213.1k downloads

Llama-4-Scout-17B-16E-Instruct is a 109B parameter model. At Q4 quantization it requires 54GB of VRAM. It runs comfortably on H100 SXM5 80 GB (44 tok/s), H200 SXM 141 GB (64 tok/s).

Inference providers

Provider$/1M in$/1M outThroughput
Groq338 tok/s
Novita79 tok/s
Nscale32 tok/s

GPU compatibility

GPUVRAMQ4 DecodeVerdict
M4 Max 128GB128GB4 tok/stight
A100 PCIe 80 GB80GB22 tok/stight
H100 SXM5 80 GB80GB44 tok/scomfortable
H200 SXM 141 GB141GB64 tok/scomfortable
M2 Ultra 192GB192GB6 tok/stight
Install CLI [email protected] Raw data · MIT · API data: live · HW/Cloud data: curated 2026-02-23 · v0.6.0