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MiMo VRPRM 7B GGUF

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

Sourcehuggingface.co/mradermacher/MiMo-VRPRM-7B-GGUF/tree/d770d8689e4d42788f740a0b5acdc48b5e3c103f
TypeOtherModèle de basetwo-tiger/MiMo-VRPRM-7BVersionRevision d770d86Éditeur@mradermacherCClasse

Source du modèle

Type
Other
Taille du fichier
698 MB–14,2 GB
Modèle de base
two-tiger/MiMo-VRPRM-7B
Version
vRevision d770d86
Mis à jour
20 oct. 2026
Éditeur
@mradermacher
Téléchargements
487
Paramètres
7B
Source
Hugging Face

Description de la source

About

static quants of https://huggingface.co/two-tiger/MiMo-VRPRM-7B

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

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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
GGUFmmproj-Q8_00.8multi-modal supplement
GGUFmmproj-f161.5multi-modal supplement
GGUFQ2_K3.2
GGUFQ3_K_S3.6
GGUFQ3_K_M4.0lower quality
GGUFQ3_K_L4.2
GGUFIQ4_XS4.4
GGUFQ4_K_S4.6fast, recommended
GGUFQ4_K_M4.8fast, recommended
GGUFQ5_K_S5.4
GGUFQ5_K_M5.5
GGUFQ6_K6.4very good quality
GGUFQ8_08.2fast, best quality
GGUFf1615.416 bpw, overkill

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 FacePrincipalVersion d770d8689e4d42788f740a0b5acdc48b5e3c103f
huggingface.co/mradermacher/MiMo-VRPRM-7B-GGUF/tree/d770d8689e4d42788f740a0b5acdc48b5e3c103f

Vérifié 20 oct.

Artefacts du modèle

14 artefacts

MiMo-VRPRM-7B.f16.gguf

gguf · 14,2 GB · SHA-256 8ed1818dfb2e…f881 · Hugging Face

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MiMo-VRPRM-7B.IQ4_XS.gguf

gguf · 3,99 GB · SHA-256 a5a9809c99e0…6602 · Hugging Face

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MiMo-VRPRM-7B.mmproj-f16.gguf

gguf · 1,27 GB · SHA-256 b33a5a6a7316…24fa · Hugging Face

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MiMo-VRPRM-7B.mmproj-Q8_0.gguf

gguf · 698 MB · SHA-256 23b2cf8a27c9…897d · Hugging Face

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MiMo-VRPRM-7B.Q2_K.gguf

gguf · 2,87 GB · SHA-256 24ee66264823…0c27 · Hugging Face

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MiMo-VRPRM-7B.Q3_K_L.gguf

gguf · 3,85 GB · SHA-256 9a503be393ff…2901 · Hugging Face

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MiMo-VRPRM-7B.Q3_K_M.gguf

gguf · 3,59 GB · SHA-256 fe256c05f2cd…b409 · Hugging Face

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MiMo-VRPRM-7B.Q3_K_S.gguf

gguf · 3,28 GB · SHA-256 f8f6e4e7f49e…b7eb · Hugging Face

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MiMo-VRPRM-7B.Q4_K_M.gguf

gguf · 4,36 GB · SHA-256 5480323a8554…f877 · Hugging Face

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MiMo-VRPRM-7B.Q4_K_S.gguf

gguf · 4,17 GB · SHA-256 b24cac293a6e…ade3 · Hugging Face

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MiMo-VRPRM-7B.Q5_K_M.gguf

gguf · 5,07 GB · SHA-256 5ab74dc6ef13…e76e · Hugging Face

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MiMo-VRPRM-7B.Q5_K_S.gguf

gguf · 4,96 GB · SHA-256 002c4f84f610…fc97 · Hugging Face

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MiMo-VRPRM-7B.Q6_K.gguf

gguf · 5,83 GB · SHA-256 b1e0fd266b32…b680 · Hugging Face

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MiMo-VRPRM-7B.Q8_0.gguf

gguf · 7,55 GB · SHA-256 595b7d0a8cb4…6e55 · Hugging Face

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Extraits de sources

3 extraits
Readme11 juil.huggingface.co/mradermacher/MiMo-VRPRM-7B-GGUF

--- base_model: two-tiger/MiMo-VRPRM-7B language: - en library_name: transformers mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - vision-language - multimodal - process-reward-modeling - visual-reasoning - best-of-n --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> static quants of https://huggingface.co/two-tiger/MiMo-VRPRM-7B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#MiMo-VRPRM-7B-GGUF).*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. ## 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/MiMo-VRPRM-7B-GGUF/resolve/main/MiMo-VRPRM-7B.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.8 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/MiMo-VRPRM-7B-GGUF/resolve/main/MiMo-VRPRM-7B.mmproj-f16.gguf) | mmproj-f16 | 1.5 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/MiMo-VRPRM-7B-GGUF/resolve/main/MiMo-VRPRM-7B.Q2_K.gguf) | Q2_K | 3.2 | | | [GGUF](https://huggingface.co/mradermacher/MiMo-VRPRM-7B-GGUF/resolve/main/MiMo-VRPRM-7B.Q3_K_S.gguf) | Q3_K_S | 3.6 | | | [GGUF](https://huggingface.co/mradermacher/MiMo-VRPRM-7B-GGUF/resolve/main/MiMo-VRPRM-7B.Q3_K_M.gguf) | Q3_K_M | 4.0 | lower quality | | [GGUF](https://huggingface.co/mradermacher/MiMo-VRPRM-7B-GGUF/resolve/main/MiMo-VRPRM-7B.Q3_K_L.gguf) | Q3_K_L | 4.2 | | | [GGUF](https://huggingface.co/mradermacher/MiMo-VRPRM-7B-GGUF/resolve/main/MiMo-VRPRM-7B.IQ4_XS.gguf) | IQ4_XS | 4.4 | | | [GGUF](https://huggingface.co/mradermacher/MiMo-...

Note20 oct.huggingface.co/mradermacher/MiMo-VRPRM-7B-GGUF

Source context: 487 downloads · 1 likes · Library transformers · Repo mradermacher/MiMo-VRPRM-7B-GGUF

Note4 aoûthuggingface.co/mradermacher/MiMo-VRPRM-7B-GGUF

Source context: 100 downloads · 1 likes · Library transformers · Repo mradermacher/MiMo-VRPRM-7B-GGUF