What are the hardware requirements for Llama 4 Scout 17B 16E Instruct 4bit?

Llama 4 Scout 17B 16E Instruct 4bit requires approximately 61 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 4 Scout 17B 16E Instruct 4bit and how large is it?

Llama 4 Scout 17B 16E Instruct 4bit is developed by mlx-community, a model with 17b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Llama 4 Scout 17B 16E Instruct 4bit?

Llama 4 Scout 17B 16E Instruct 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 4 Scout 17B 16E Instruct 4bit by mlx-community — VRAM 61GB

Name: Llama 4 Scout 17B 16E Instruct 4bit
Author: mlx-community

Llama 4 Scout 17B 16E Instruct 4bit is an open-source language model by mlx-community. Features: 17b LLM, VRAM: 61GB, License: other, Quantized, Instruction-Based.

4bit Ar Base model:finetune:meta-llama... Base model:meta-llama/llama-4-... Conversational De En Endpoints compatible Es Facebook Fr Hi Id Image-text-to-text Instruct It Llama Llama-4 Llama4 Meta Mlx Pt Pytorch Quantized Region:us Safetensors Sharded Tensorflow Th Tl Vi

Model Card on HF 🤗: https://huggingface.co/mlx-community/Llama-4-Scout-17B-16E-Instruct-4bit

Llama 4 Scout 17B 16E Instruct 4bit Parameters and Internals

LLM Name	Llama 4 Scout 17B 16E Instruct 4bit
Repository 🤗	https://huggingface.co/mlx-community/Llama-4-Scout-17B-16E-Instruct-4bit
Base Model(s)	meta-llama/Llama-4-Scout-17B-16E meta-llama/Llama-4-Scout-17B-16E
Model Size	17b
Required VRAM	61 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	llama4
Instruction-Based	Yes
Model Files	5.2 GB: 1-of-12 5.3 GB: 2-of-12 5.4 GB: 3-of-12 5.0 GB: 4-of-12 5.3 GB: 5-of-12 5.3 GB: 6-of-12 5.4 GB: 7-of-12 5.0 GB: 8-of-12 5.3 GB: 9-of-12 5.3 GB: 10-of-12 5.4 GB: 11-of-12 3.1 GB: 12-of-12
Supported Languages	ar de en es fr hi id it pt th tl vi
Quantization Type	4bit
Model Architecture	Llama4ForConditionalGeneration
License	other
Model Max Length	10485760
Transformers Version	4.51.0
Padding Token	<\|finetune_right_pad_id\|>
Torch Data Type	bfloat16

Rank the Llama 4 Scout 17B 16E Instruct 4bit capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Llama 4 Scout 17B 16E Instruct 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...Maverick 17B 16E Instruct 4bit	0K / 146.3 GB	419	7
...Maverick 17B 16E Instruct 6bit	0K / 213.8 GB	131	2
... 4 Scout 17B 16E Instruct 6bit	0K / 88.8 GB	333	5
... 4 Scout 17B 16E Instruct 8bit	0K / 114.7 GB	588	4
...averick 17B 128E Instruct 4bit	0K / 140.8 GB	204	2
...averick 17B 128E Instruct 6bit	0K / 201.1 GB	125	1

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Llama-4-Scout-17B-16E-Instruct-4bit.