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Qwen3.6 35B A3B I1 GGUF

For a convenient overview and download list, visit our model page for this model.

KindOtherBase modelQwen/Qwen3.6-35B-A3BVersionRevision 854684cPublisher@mradermacherCgrade

Model source

Kind
Other
File size
183 MB–26.6 GB
Base model
Qwen/Qwen3.6-35B-A3B
Version
vRevision 854684c
Updated
Oct 22, 2026
Publisher
@mradermacher
Downloads
2.1K
Source
Hugging Face

Source description

About

weighted/imatrix quants of https://huggingface.co/Qwen/Qwen3.6-35B-A3B

For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/Qwen3.6-35B-A3B-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs 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)

LinkTypeSize/GBNotes
GGUFimatrix0.3imatrix file (for creating your own quants)
GGUFi1-IQ1_S7.6for the desperate
GGUFi1-IQ1_M8.3mostly desperate
GGUFi1-IQ2_XXS9.6
GGUFi1-IQ2_XS10.6
GGUFi1-IQ2_S10.8
GGUFi1-IQ2_M11.8
GGUFi1-Q2_K_S12.3very low quality
GGUFi1-Q2_K13.0IQ3_XXS probably better
GGUFi1-IQ3_XXS13.7lower quality
GGUFi1-IQ3_XS14.6
GGUFi1-Q3_K_S15.3IQ3_XS probably better
GGUFi1-IQ3_S15.4beats Q3_K*
GGUFi1-IQ3_M15.5
GGUFi1-Q3_K_M16.9IQ3_S probably better
GGUFi1-Q3_K_L18.2IQ3_M probably better
GGUFi1-IQ4_XS18.8
GGUFi1-Q4_019.9fast, low quality
GGUFi1-Q4_K_S20.0optimal size/speed/quality
GGUFi1-Q4_K_M21.3fast, recommended
GGUFi1-Q4_121.9
GGUFi1-Q5_K_S24.1
GGUFi1-Q5_K_M24.8
GGUFi1-Q6_K28.6practically like static Q6_K

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

image.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, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @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.

Sources

1 source
Hugging FacePrimaryVersion 854684c919958fda9a254519d0bfc9381793d6a7
huggingface.co/mradermacher/Qwen3.6-35B-A3B-i1-GGUF/tree/854684c919958fda9a254519d0bfc9381793d6a7

Verified Oct 22

Model artifacts

24 artifacts

Qwen3.6-35B-A3B.i1-IQ1_M.gguf

gguf · 7.67 GB · SHA-256 9ea9199df8fd…2020 · Hugging Face

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Qwen3.6-35B-A3B.i1-IQ1_S.gguf

gguf · 6.97 GB · SHA-256 866e42dd53c8…8fbc · Hugging Face

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Qwen3.6-35B-A3B.i1-IQ2_M.gguf

gguf · 10.9 GB · SHA-256 bed481520ca6…f615 · Hugging Face

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Qwen3.6-35B-A3B.i1-IQ2_S.gguf

gguf · 9.92 GB · SHA-256 71811176f623…fa3d · Hugging Face

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Qwen3.6-35B-A3B.i1-IQ2_XS.gguf

gguf · 9.79 GB · SHA-256 a2d8f7e5369c…7f8e · Hugging Face

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Qwen3.6-35B-A3B.i1-IQ2_XXS.gguf

gguf · 8.85 GB · SHA-256 930b22854bcb…253a · Hugging Face

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Qwen3.6-35B-A3B.i1-IQ3_M.gguf

gguf · 14.4 GB · SHA-256 f5d6b4f78500…919d · Hugging Face

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Qwen3.6-35B-A3B.i1-IQ3_S.gguf

gguf · 14.2 GB · SHA-256 49be9f1dd2ea…b893 · Hugging Face

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Qwen3.6-35B-A3B.i1-IQ3_XS.gguf

gguf · 13.5 GB · SHA-256 672a978fe222…e11b · Hugging Face

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Qwen3.6-35B-A3B.i1-IQ3_XXS.gguf

gguf · 12.7 GB · SHA-256 c48f4817aa02…f945 · Hugging Face

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Qwen3.6-35B-A3B.i1-IQ4_XS.gguf

gguf · 17.4 GB · SHA-256 f57248561fb9…5c58 · Hugging Face

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Qwen3.6-35B-A3B.i1-Q2_K_S.gguf

gguf · 11.3 GB · SHA-256 fbc5468d6fcf…c479 · Hugging Face

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Qwen3.6-35B-A3B.i1-Q2_K.gguf

gguf · 12.1 GB · SHA-256 5aa108b74ae9…2f78 · Hugging Face

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Qwen3.6-35B-A3B.i1-Q3_K_L.gguf

gguf · 16.9 GB · SHA-256 69bef4db308b…c57f · Hugging Face

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Qwen3.6-35B-A3B.i1-Q3_K_M.gguf

gguf · 15.6 GB · SHA-256 05c715fabc01…a8f7 · Hugging Face

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Qwen3.6-35B-A3B.i1-Q3_K_S.gguf

gguf · 14.1 GB · SHA-256 f880c1e18bab…408e · Hugging Face

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Qwen3.6-35B-A3B.i1-Q4_0.gguf

gguf · 18.4 GB · SHA-256 17825d764327…6e07 · Hugging Face

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Qwen3.6-35B-A3B.i1-Q4_1.gguf

gguf · 20.3 GB · SHA-256 1d14b053541e…024b · Hugging Face

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Qwen3.6-35B-A3B.i1-Q4_K_M.gguf

gguf · 19.7 GB · SHA-256 28a385ee1cac…c403 · Hugging Face

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Qwen3.6-35B-A3B.i1-Q4_K_S.gguf

gguf · 18.5 GB · SHA-256 283abe0d6cc8…db92 · Hugging Face

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Qwen3.6-35B-A3B.i1-Q5_K_M.gguf

gguf · 23.0 GB · SHA-256 608a006c0c52…5c35 · Hugging Face

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Qwen3.6-35B-A3B.i1-Q5_K_S.gguf

gguf · 22.3 GB · SHA-256 3e46d6e9b5db…0546 · Hugging Face

Download

Qwen3.6-35B-A3B.i1-Q6_K.gguf

gguf · 26.6 GB · SHA-256 ffb8c9085272…a76e · Hugging Face

Download

Qwen3.6-35B-A3B.imatrix.gguf

gguf · 183 MB · SHA-256 6ba7eede95e0…a953 · Hugging Face

Download

Source excerpts

3 excerpts

--- base_model: Qwen/Qwen3.6-35B-A3B language: - en library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3.6-35B-A3B/blob/main/LICENSE mradermacher: readme_rev: 1 quantized_by: mradermacher --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> <!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> weighted/imatrix quants of https://huggingface.co/Qwen/Qwen3.6-35B-A3B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3.6-35B-A3B-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Qwen3.6-35B-A3B-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/Qwen3.6-35B-A3B-GGUF).** ## 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://huggingface.co/mradermacher/Qwen3.6-35B-A3B-i1-GGUF/resolve/main/Qwen3.6-35B-A3B.imatrix.gguf) | imatrix | 0.3 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Qwen3.6-35B-A3B-i1-GGUF/resolve/main/Qwen3.6-35B-A3B.i1-IQ1_S.gguf) | i1-IQ1_S | 7.6 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Qwen3.6-35B-A3B-i1-GGUF/resolve/main/Qwen3.6-35B-A3B.i1-IQ1_M.gguf) | i1-IQ1_M | 8.3 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Qwen3.6-35B-A3B-i1-GGUF/resolve/main/Qwen3.6-35B-A3B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 9.6 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3.6-35B-A3B-i1-GGUF/resolve/main/Qwen3.6-35B-A3B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 10.6 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3.6-35B-A3B-i1-GGUF/resolve/main/Qwen3.6-35B-A3B.i1-IQ2_S.gguf) | i1-IQ2...

Source context: 2113 downloads · 5 likes · Library transformers · Repo mradermacher/Qwen3.6-35B-A3B-i1-GGUF

Source context: 7517 downloads · 5 likes · Library transformers · Repo mradermacher/Qwen3.6-35B-A3B-i1-GGUF