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

Llama 4 Scout 17B 16E Instruct GGUF requires approximately 1.8 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 GGUF and how large is it?

Llama 4 Scout 17B 16E Instruct GGUF is developed by unsloth, 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 GGUF?

Llama 4 Scout 17B 16E Instruct GGUF 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 GGUF by unsloth — VRAM 1.8GB

Name: Llama 4 Scout 17B 16E Instruct GGUF
Author: unsloth

Llama 4 Scout 17B 16E Instruct GGUF is an open-source language model by unsloth. Features: 17b LLM, VRAM: 1.8GB, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.24.

Arxiv:2204.05149 Ar Base model:meta-llama/llama-4-... Base model:quantized:meta-llam... Conversational De En Endpoints compatible Es Facebook Fr Gguf Hi Id Image-text-to-text Imatrix Instruct It Llama Llama-4 Llama4 Meta Pt Pytorch Q2 Quantized Region:us Th Tl Unsloth Vi

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

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

LLM Name	Llama 4 Scout 17B 16E Instruct GGUF
Repository 🤗	https://huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF
Base Model(s)	meta-llama/Llama-4-Scout-17B-16E-Instruct meta-llama/Llama-4-Scout-17B-16E-Instruct
Model Size	17b
Required VRAM	1.8 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	llama4
Instruction-Based	Yes
Model Files	39.6 GB 39.8 GB 46.7 GB 35.0 GB 32.5 GB 39.1 GB 37.4 GB 45.7 GB 42.4 GB 49.0 GB 29.3 GB 1.8 GB 1.8 GB
Supported Languages	ar de en es fr hi id it pt th tl vi
GGUF Quantization	Yes
Quantization Type	gguf\|q2
Model Architecture	Llama4ForConditionalGeneration
License	other
Transformers Version	4.52.3
Torch Data Type	bfloat16

Rank the Llama 4 Scout 17B 16E Instruct GGUF 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 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...averick 17B 128E Instruct GGUF	0K / 1.8 GB	5759	50
...rick 17B 128E Instruct GGUF UD	0K / 1.8 GB	1012	3
...Maverick 17B 16E Instruct 4bit	0K / 146.3 GB	419	7
... 4 Scout 17B 16E Instruct 6bit	0K / 88.8 GB	333	5
...averick 17B 128E Instruct 6bit	0K / 201.1 GB	125	1
... 4 Scout 17B 16E Instruct 4bit	0K / 61 GB	1203	12
... 16E Instruct Unsloth Bnb 4bit	0K / 60.6 GB	205	80
... 4 Scout 17B 16E Instruct 8bit	0K / 114.7 GB	588	4
...averick 17B 128E Instruct 4bit	0K / 140.8 GB	204	2
...truct Unsloth Dynamic Bnb 4bit	0K / 61.7 GB	136	7

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