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Hulu Med 30A3 I1 GGUF

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

KindOtherBase modelZJU-AI4H/Hulu-Med-30A3VersionRevision cfdaf74Bgrade

Model source

Kind
Other
File size
116 MB–23.4 GB
Base model
ZJU-AI4H/Hulu-Med-30A3
Version
vRevision cfdaf74
Updated
Sep 18, 2026
Downloads
627
Source
Hugging Face

Source description

About

weighted/imatrix quants of https://huggingface.co/ZJU-AI4H/Hulu-Med-30A3

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

static quants are available at https://huggingface.co/mradermacher/Hulu-Med-30A3-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
GGUFimatrix0.2imatrix file (for creating your own quants)
GGUFi1-IQ1_S6.5for the desperate
GGUFi1-IQ1_M7.2mostly desperate
GGUFi1-IQ2_XXS8.3
GGUFi1-IQ2_XS9.2
GGUFi1-IQ2_S9.4
GGUFi1-IQ2_M10.3
GGUFi1-Q2_K_S10.6very low quality
GGUFi1-Q2_K11.4IQ3_XXS probably better
GGUFi1-IQ3_XXS11.9lower quality
GGUFi1-IQ3_XS12.7
GGUFi1-Q3_K_S13.4IQ3_XS probably better
GGUFi1-IQ3_S13.4beats Q3_K*
GGUFi1-IQ3_M13.6
GGUFi1-Q3_K_M14.8IQ3_S probably better
GGUFi1-Q3_K_L16.0IQ3_M probably better
GGUFi1-IQ4_XS16.5
GGUFi1-Q4_017.5fast, low quality
GGUFi1-Q4_K_S17.6optimal size/speed/quality
GGUFi1-Q4_K_M18.7fast, recommended
GGUFi1-Q4_119.3
GGUFi1-Q5_K_S21.2
GGUFi1-Q5_K_M21.8
GGUFi1-Q6_K25.2practically 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 cfdaf749dd99cdff779e69cf135bc17040065e2d
huggingface.co/mradermacher/Hulu-Med-30A3-i1-GGUF/tree/cfdaf749dd99cdff779e69cf135bc17040065e2d

Verified Sep 3

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Model artifacts

24 artifacts

Hulu-Med-30A3.i1-IQ1_M.gguf

gguf · 6.59 GB · SHA-256 acea079a3fea…fd2c · Hugging Face

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Hulu-Med-30A3.i1-IQ1_S.gguf

gguf · 5.98 GB · SHA-256 63006b27c430…a0a8 · Hugging Face

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Hulu-Med-30A3.i1-IQ2_M.gguf

gguf · 9.47 GB · SHA-256 01ec63d1ae57…5613 · Hugging Face

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Hulu-Med-30A3.i1-IQ2_S.gguf

gguf · 8.65 GB · SHA-256 c8a73c6625a9…c899 · Hugging Face

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Hulu-Med-30A3.i1-IQ2_XS.gguf

gguf · 8.45 GB · SHA-256 c4432a7f2fdb…a5dd · Hugging Face

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Hulu-Med-30A3.i1-IQ2_XXS.gguf

gguf · 7.62 GB · SHA-256 b58ffcb50456…3cbf · Hugging Face

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Hulu-Med-30A3.i1-IQ3_M.gguf

gguf · 12.6 GB · SHA-256 16fa4677b246…83f2 · Hugging Face

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Hulu-Med-30A3.i1-IQ3_S.gguf

gguf · 12.4 GB · SHA-256 ab08713214f6…a613 · Hugging Face

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Hulu-Med-30A3.i1-IQ3_XS.gguf

gguf · 11.7 GB · SHA-256 4d2ecf337b1b…9f13 · Hugging Face

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Hulu-Med-30A3.i1-IQ3_XXS.gguf

gguf · 11.0 GB · SHA-256 b100040d06b4…6ce2 · Hugging Face

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Hulu-Med-30A3.i1-IQ4_XS.gguf

gguf · 15.2 GB · SHA-256 3987baf94bd1…6066 · Hugging Face

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Hulu-Med-30A3.i1-Q2_K_S.gguf

gguf · 9.80 GB · SHA-256 5ffd5d001d81…2b0e · Hugging Face

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Hulu-Med-30A3.i1-Q2_K.gguf

gguf · 10.5 GB · SHA-256 c92d4b13c91d…98d5 · Hugging Face

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Hulu-Med-30A3.i1-Q3_K_L.gguf

gguf · 14.8 GB · SHA-256 3d78b285074c…7f44 · Hugging Face

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Hulu-Med-30A3.i1-Q3_K_M.gguf

gguf · 13.7 GB · SHA-256 d1fc7486402e…5213 · Hugging Face

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Hulu-Med-30A3.i1-Q3_K_S.gguf

gguf · 12.4 GB · SHA-256 017bf3e86d2c…5493 · Hugging Face

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Hulu-Med-30A3.i1-Q4_0.gguf

gguf · 16.2 GB · SHA-256 351bc517d0fe…0f83 · Hugging Face

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Hulu-Med-30A3.i1-Q4_1.gguf

gguf · 17.9 GB · SHA-256 493438bdc42f…1b15 · Hugging Face

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Hulu-Med-30A3.i1-Q4_K_M.gguf

gguf · 17.3 GB · SHA-256 b42ec5ed630a…561c · Hugging Face

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Hulu-Med-30A3.i1-Q4_K_S.gguf

gguf · 16.3 GB · SHA-256 158c64d0c943…f52a · Hugging Face

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Hulu-Med-30A3.i1-Q5_K_M.gguf

gguf · 20.2 GB · SHA-256 5f74b2fd2643…2470 · Hugging Face

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Hulu-Med-30A3.i1-Q5_K_S.gguf

gguf · 19.6 GB · SHA-256 01f482a8db5b…1fba · Hugging Face

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Hulu-Med-30A3.i1-Q6_K.gguf

gguf · 23.4 GB · SHA-256 c5848432cd2f…2d54 · Hugging Face

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Hulu-Med-30A3.imatrix.gguf

gguf · 116 MB · SHA-256 faaaf9cb9711…ce78 · Hugging Face

Download file

Source excerpts

2 excerpts

--- base_model: ZJU-AI4H/Hulu-Med-30A3 language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - medical - multimodal - vision-language-model - image-to-text - video-understanding - 3d-understanding - qwen - pytorch --- ## 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/ZJU-AI4H/Hulu-Med-30A3 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Hulu-Med-30A3-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Hulu-Med-30A3-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/Hulu-Med-30A3-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/Hulu-Med-30A3-i1-GGUF/resolve/main/Hulu-Med-30A3.imatrix.gguf) | imatrix | 0.2 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Hulu-Med-30A3-i1-GGUF/resolve/main/Hulu-Med-30A3.i1-IQ1_S.gguf) | i1-IQ1_S | 6.5 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Hulu-Med-30A3-i1-GGUF/resolve/main/Hulu-Med-30A3.i1-IQ1_M.gguf) | i1-IQ1_M | 7.2 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Hulu-Med-30A3-i1-GGUF/resolve/main/Hulu-Med-30A3.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 8.3 | | | [GGUF](https://huggingface.co/mradermacher/Hulu-Med-30A3-i1-GGUF/resolve/main/Hulu-Med-30A3.i1-IQ2_XS.gguf) | i1-IQ2_XS | 9.2 | | | [GGUF](https://huggingface.co/mradermacher/Hulu-Med-30A3-i1-GGUF/resolve/main/Hulu-Med-30A3...

Source context: 627 downloads · 0 likes · Pipeline image-to-text · Library transformers · Repo mradermacher/Hulu-Med-30A3-i1-GGUF