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Model: mradermacher/Llama-4-Scout-17B-6E-Instruct-i1-GGUF Source: Original Platform
2026-06-05 13:54:13 +08:00
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--- a/README.md
+++ b/README.md
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+---
+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
+
+<!-- ### quantize_version: 2 -->
+<!-- ### output_tensor_quantised: 1 -->
+<!-- ### convert_type: hf -->
+<!-- ### vocab_type:  -->
+<!-- ### tags: nicoboss -->
+weighted/imatrix quants of https://huggingface.co/shadowlilac/Llama-4-Scout-17B-6E-Instruct
+
+<!-- provided-files -->
+
+***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.
+
+<!-- end -->
+