---
base_model: shadowlilac/Llama-4-Scout-17B-6E-Instruct
language:
- ar
- de
- en
- es
- fr
- hi
- id
- it
- pt
- th
- tl
- vi
library_name: transformers
mradermacher:
  readme_rev: 1
quantized_by: mradermacher
tags:
- pytorch
- llama
- llama-4
- mixture of experts
---
## About

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weighted/imatrix quants of https://huggingface.co/shadowlilac/Llama-4-Scout-17B-6E-Instruct

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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Llama-4-Scout-17B-6E-Instruct-i1-GGUF).***

static quants are available at https://huggingface.co/mradermacher/Llama-4-Scout-17B-6E-Instruct-GGUF

**This is a vision model - mmproj files (if any) will be under files**
## Usage

If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part files.

## Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://www.modelscope.cn/models/mradermacher/Llama-4-Scout-17B-6E-Instruct-i1-GGUF/resolve/master/Llama-4-Scout-17B-6E-Instruct.i1-IQ2_XS.gguf) | i1-IQ2_XS | 14.4 |  |
| [GGUF](https://www.modelscope.cn/models/mradermacher/Llama-4-Scout-17B-6E-Instruct-i1-GGUF/resolve/master/Llama-4-Scout-17B-6E-Instruct.i1-IQ3_XS.gguf) | i1-IQ3_XS | 19.9 |  |
| [GGUF](https://www.modelscope.cn/models/mradermacher/Llama-4-Scout-17B-6E-Instruct-i1-GGUF/resolve/master/Llama-4-Scout-17B-6E-Instruct.i1-IQ4_XS.gguf) | i1-IQ4_XS | 25.6 |  |
| [GGUF](https://www.modelscope.cn/models/mradermacher/Llama-4-Scout-17B-6E-Instruct-i1-GGUF/resolve/master/Llama-4-Scout-17B-6E-Instruct.i1-Q4_K_M.gguf) | i1-Q4_K_M | 28.9 | fast, recommended |
| [GGUF](https://www.modelscope.cn/models/mradermacher/Llama-4-Scout-17B-6E-Instruct-i1-GGUF/resolve/master/Llama-4-Scout-17B-6E-Instruct.i1-Q5_K_M.gguf) | i1-Q5_K_M | 33.8 |  |
| [GGUF](https://www.modelscope.cn/models/mradermacher/Llama-4-Scout-17B-6E-Instruct-i1-GGUF/resolve/master/Llama-4-Scout-17B-6E-Instruct.i1-Q6_K.gguf) | i1-Q6_K | 39.0 | practically like static Q6_K |

Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):

![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)

And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

## FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.

## Thanks

I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

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