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meta-llama-Llama-4-Scout-17B-16E-fp16

mlx-community/meta-llama-Llama-4-Scout-17B-16E-fp16
fp16 Open on Hugging Face
Parameters
108B
Weights (est.)
≈ 216 GB
Mac memory (est.)
256 GB+

Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.

Run it

With mlx-lm on an Apple silicon Mac:

pip install mlx-lmmlx_lm.generate --model mlx-community/meta-llama-Llama-4-Scout-17B-16E-fp16 --prompt "Hello"

Details

Base model
meta-llama/Llama-4-Scout-17B-16E (finetune)
Vendor
Meta · Llama
Task
Text generation
Quantisation
fp16
Licence
llama4
Downloads
67 in the last 30 days · 10K all time · 2 likes
Published
2025-04-06 · updated 2025-04-06 (1y ago)
Languages
ar, de, en, es, fr, hi, id, it, pt, th, tl, vi
Tags
llama4, facebook, meta, pytorch, llama, llama-4

Other MLX builds of meta-llama/Llama-4-Scout-17B-16E

Build Quantisation Weights Mac memory Downloads
meta-llama-Llama-4-Scout-17B-16E-4bit 4-bit ≈ 60.6 GB 96 GB+ 573
meta-llama-Llama-4-Scout-17B-16E-6bit 6-bit ≈ 87.6 GB 128 GB+ 62
meta-llama-Llama-4-Scout-17B-16E-8bit 8-bit ≈ 115 GB 192 GB+ 241
meta-llama-Llama-4-Scout-17B-16E-fp16 (this one) fp16 ≈ 216 GB 256 GB+ 67
meta-llama-Llama-4-Scout-17B-16E-bf16 bf16 ≈ 216 GB 256 GB+ 64
Llama-4-Scout-17B-16E-Instruct-4bit 4-bit — — 1.9K
Llama-4-Scout-17B-16E-Instruct-6bit 6-bit — — 185
Llama-4-Scout-17B-16E-Instruct-8bit 8-bit — — 178
meta-llama-Llama-4-Scout-17B-16E-Instruct-bf16 bf16 — — 99