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Hulu Med 235A22 I1 GGUF

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

TipoOtherModelo baseZJU-AI4H/Hulu-Med-235A22VersãoRevision 816eb99Bnota

Fonte do modelo

Tipo
Other
Tamanho do arquivo
456 MB–180 GB
Modelo base
ZJU-AI4H/Hulu-Med-235A22
Versão
vRevision 816eb99
Atualizado
18 de set. de 2026
Downloads
2,4 mil
Fonte
Hugging Face

Descrição da fonte

About

weighted/imatrix quants of https://huggingface.co/ZJU-AI4H/Hulu-Med-235A22

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-235A22-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
GGUFimatrix0.6imatrix file (for creating your own quants)
GGUFi1-IQ1_S48.0for the desperate
GGUFi1-IQ1_M53.2mostly desperate
GGUFi1-IQ2_XXS61.9
GGUFi1-IQ2_XS68.9
GGUFi1-IQ2_S70.3
GGUFi1-IQ2_M77.3
GGUFi1-Q2_K_S79.9very low quality
GGUFi1-Q2_K85.8IQ3_XXS probably better
GGUFi1-IQ3_XXS90.5lower quality
GGUFi1-IQ3_XS96.1
GGUFi1-Q3_K_S101.5IQ3_XS probably better
GGUFi1-IQ3_S101.6beats Q3_K*
GGUFi1-IQ3_M103.2
GGUFi1-Q3_K_M112.5IQ3_S probably better
GGUFi1-Q3_K_L121.9IQ3_M probably better
GGUFi1-IQ4_XS125.4
GGUFi1-Q4_0133.2fast, low quality
GGUFi1-Q4_K_S133.8optimal size/speed/quality
GGUFi1-Q4_K_M142.3fast, recommended
GGUFi1-Q4_1147.3
GGUFi1-Q5_K_S162.0
GGUFi1-Q5_K_M166.9
GGUFi1-Q6_K193.1practically 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.

Fontes

1 fonte
Hugging FacePrimárioVersão 816eb994326065fb41d813c7658b8ed239319f7c
huggingface.co/mradermacher/Hulu-Med-235A22-i1-GGUF/tree/816eb994326065fb41d813c7658b8ed239319f7c

Verificado 3 de set.

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Artefatos de modelo

24 artefatos

Hulu-Med-235A22.i1-IQ1_M.gguf

gguf · 49,5 GB · SHA-256 6e2294de20d5…a7cf · Hugging Face

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Hulu-Med-235A22.i1-IQ1_S.gguf

gguf · 44,7 GB · SHA-256 68369a289335…7fbb · Hugging Face

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Hulu-Med-235A22.i1-IQ2_M.gguf

gguf · 71,9 GB · SHA-256 b1729a33abd3…551a · Hugging Face

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Hulu-Med-235A22.i1-IQ2_S.gguf

gguf · 65,4 GB · SHA-256 4c5e201e53bf…ebcc · Hugging Face

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Hulu-Med-235A22.i1-IQ2_XS.gguf

gguf · 64,1 GB · SHA-256 da952c253671…2c53 · Hugging Face

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Hulu-Med-235A22.i1-IQ2_XXS.gguf

gguf · 57,6 GB · SHA-256 5f1192220afd…721b · Hugging Face

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Hulu-Med-235A22.i1-IQ3_M.gguf

gguf · 96,0 GB · SHA-256 a1dfee34bf3a…bcb6 · Hugging Face

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Hulu-Med-235A22.i1-IQ3_S.gguf

gguf · 94,5 GB · SHA-256 2908d8116c1b…a72d · Hugging Face

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Hulu-Med-235A22.i1-IQ3_XS.gguf

gguf · 89,4 GB · SHA-256 19476c9d7bd9…cce5 · Hugging Face

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Hulu-Med-235A22.i1-IQ3_XXS.gguf

gguf · 84,2 GB · SHA-256 387178feb6ae…2d6b · Hugging Face

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Hulu-Med-235A22.i1-IQ4_XS.gguf

gguf · 117 GB · SHA-256 d83074f06e07…34da · Hugging Face

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Hulu-Med-235A22.i1-Q2_K_S.gguf

gguf · 74,3 GB · SHA-256 4812249e3359…c025 · Hugging Face

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Hulu-Med-235A22.i1-Q2_K.gguf

gguf · 79,8 GB · SHA-256 3ffda254870e…d535 · Hugging Face

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Hulu-Med-235A22.i1-Q3_K_L.gguf

gguf · 113 GB · SHA-256 9f00c862303c…ef1e · Hugging Face

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Hulu-Med-235A22.i1-Q3_K_M.gguf

gguf · 105 GB · SHA-256 dfca0d9f4c9f…dad2 · Hugging Face

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Hulu-Med-235A22.i1-Q3_K_S.gguf

gguf · 94,5 GB · SHA-256 e3fcd844ed71…7d01 · Hugging Face

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Hulu-Med-235A22.i1-Q4_0.gguf

gguf · 124 GB · SHA-256 4976c837a36b…a649 · Hugging Face

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Hulu-Med-235A22.i1-Q4_1.gguf

gguf · 137 GB · SHA-256 ef8d18bd1e58…5fa3 · Hugging Face

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Hulu-Med-235A22.i1-Q4_K_M.gguf

gguf · 132 GB · SHA-256 df4ba6a194f3…4c26 · Hugging Face

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Hulu-Med-235A22.i1-Q4_K_S.gguf

gguf · 125 GB · SHA-256 07f868fd1ec7…7ac0 · Hugging Face

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Hulu-Med-235A22.i1-Q5_K_M.gguf

gguf · 155 GB · SHA-256 e7450637c25d…07a6 · Hugging Face

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Hulu-Med-235A22.i1-Q5_K_S.gguf

gguf · 151 GB · SHA-256 13f8b5e64a72…b726 · Hugging Face

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Hulu-Med-235A22.i1-Q6_K.gguf

gguf · 180 GB · SHA-256 8b6a7dc09a5f…ff8c · Hugging Face

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Hulu-Med-235A22.imatrix.gguf

gguf · 456 MB · SHA-256 6ef56c899c11…e9ff · Hugging Face

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Trechos de fonte

2 trechos

--- base_model: ZJU-AI4H/Hulu-Med-235A22 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-235A22 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Hulu-Med-235A22-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Hulu-Med-235A22-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/Hulu-Med-235A22-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-235A22-i1-GGUF/resolve/main/Hulu-Med-235A22.imatrix.gguf) | imatrix | 0.6 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Hulu-Med-235A22-i1-GGUF/resolve/main/Hulu-Med-235A22.i1-IQ1_S.gguf) | i1-IQ1_S | 48.0 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Hulu-Med-235A22-i1-GGUF/resolve/main/Hulu-Med-235A22.i1-IQ1_M.gguf) | i1-IQ1_M | 53.2 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Hulu-Med-235A22-i1-GGUF/resolve/main/Hulu-Med-235A22.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 61.9 | | | [GGUF](https://huggingface.co/mradermacher/Hulu-Med-235A22-i1-GGUF/resolve/main/Hulu-Med-235A22.i1-IQ2_XS.gguf) | i1-IQ2_XS | 68.9 | | | [GGUF](https://huggingface.co/mradermacher/Hulu-Med-235A2...

Source context: 2388 downloads · 1 likes · Pipeline image-to-text · Library transformers · Repo mradermacher/Hulu-Med-235A22-i1-GGUF