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CoE Wiki CoE 8B GGUF

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

TipoOtherModelo basePeiyangLiu/CoE-Wiki-CoE-8BVersiónRevision 863e340Bcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
717 MB–15,3 GB
Modelo base
PeiyangLiu/CoE-Wiki-CoE-8B
Versión
vRevision 863e340
Actualizado
10 oct 2026
Descargas
378
Fuente
Hugging Face

Descripción de la fuente

About

static quants of https://huggingface.co/PeiyangLiu/CoE-Wiki-CoE-8B

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/CoE-Wiki-CoE-8B-i1-GGUF

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_00.9multi-modal supplement
GGUFmmproj-f161.3multi-modal supplement
GGUFQ2_K3.4
GGUFQ3_K_S3.9
GGUFQ3_K_M4.2lower quality
GGUFQ3_K_L4.5
GGUFIQ4_XS4.7
GGUFQ4_K_S4.9fast, recommended
GGUFQ4_K_M5.1fast, recommended
GGUFQ5_K_S5.8
GGUFQ5_K_M6.0
GGUFQ6_K6.8very good quality
GGUFQ8_08.8fast, best quality
GGUFf1616.516 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.

Fuentes

1 fuente
Hugging FacePrincipalVersión 863e340d59c047bcdc1c5c46272231244c6a24bd
huggingface.co/mradermacher/CoE-Wiki-CoE-8B-GGUF/tree/863e340d59c047bcdc1c5c46272231244c6a24bd

Verificado 10 oct

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Artefactos del modelo

14 artefactos

CoE-Wiki-CoE-8B.f16.gguf

gguf · 15,3 GB · SHA-256 d910d7c35161…013b · Hugging Face

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CoE-Wiki-CoE-8B.IQ4_XS.gguf

gguf · 4,28 GB · SHA-256 134c1ca234e5…ab25 · Hugging Face

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CoE-Wiki-CoE-8B.mmproj-f16.gguf

gguf · 1,08 GB · SHA-256 bb7c9ad46530…b0d3 · Hugging Face

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CoE-Wiki-CoE-8B.mmproj-Q8_0.gguf

gguf · 717 MB · SHA-256 aa13f933e14b…0482 · Hugging Face

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CoE-Wiki-CoE-8B.Q2_K.gguf

gguf · 3,06 GB · SHA-256 d94f744df8a4…1e00 · Hugging Face

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CoE-Wiki-CoE-8B.Q3_K_L.gguf

gguf · 4,13 GB · SHA-256 60f1f58789c0…5676 · Hugging Face

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CoE-Wiki-CoE-8B.Q3_K_M.gguf

gguf · 3,84 GB · SHA-256 b4033f1dbf02…0b8d · Hugging Face

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CoE-Wiki-CoE-8B.Q3_K_S.gguf

gguf · 3,51 GB · SHA-256 1768faec7b13…472a · Hugging Face

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CoE-Wiki-CoE-8B.Q4_K_M.gguf

gguf · 4,68 GB · SHA-256 68f1e8c2bc99…fe5e · Hugging Face

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CoE-Wiki-CoE-8B.Q4_K_S.gguf

gguf · 4,47 GB · SHA-256 db59f7f5994c…d317 · Hugging Face

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CoE-Wiki-CoE-8B.Q5_K_M.gguf

gguf · 5,45 GB · SHA-256 04127f9347d8…d6f0 · Hugging Face

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CoE-Wiki-CoE-8B.Q5_K_S.gguf

gguf · 5,33 GB · SHA-256 fad0f2744102…b2dd · Hugging Face

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CoE-Wiki-CoE-8B.Q6_K.gguf

gguf · 6,26 GB · SHA-256 0abffd559b8f…89c7 · Hugging Face

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CoE-Wiki-CoE-8B.Q8_0.gguf

gguf · 8,11 GB · SHA-256 46b6b46cb24f…da84 · Hugging Face

Download file

Extractos de fuentes

3 extractos

--- base_model: PeiyangLiu/CoE-Wiki-CoE-8B language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - multimodal - visual-question-answering - chain-of-evidence - document-understanding - qwen3-vl --- ## 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/PeiyangLiu/CoE-Wiki-CoE-8B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#CoE-Wiki-CoE-8B-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/CoE-Wiki-CoE-8B-i1-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/CoE-Wiki-CoE-8B-GGUF/resolve/main/CoE-Wiki-CoE-8B.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.9 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/CoE-Wiki-CoE-8B-GGUF/resolve/main/CoE-Wiki-CoE-8B.mmproj-f16.gguf) | mmproj-f16 | 1.3 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/CoE-Wiki-CoE-8B-GGUF/resolve/main/CoE-Wiki-CoE-8B.Q2_K.gguf) | Q2_K | 3.4 | | | [GGUF](https://huggingface.co/mradermacher/CoE-Wiki-CoE-8B-GGUF/resolve/main/CoE-Wiki-CoE-8B.Q3_K_S.gguf) | Q3_K_S | 3.9 | | | [GGUF](https://huggingface.co/mradermacher/CoE-Wiki-CoE-8B-GGUF/resolve/main/CoE-Wiki-CoE-8B.Q3_K_M.gguf) | Q3_K_M | 4.2 | lower quality | | [GGUF](https://huggingface.co/mradermacher/CoE-Wiki-CoE-8B-GGUF/resolve/main/CoE-Wiki-CoE-8B.Q3_K_L.gguf) | Q3_K_L | 4.5 | | | [GGUF](https://huggingface.co/mradermacher/CoE-Wiki-CoE-8B-GGUF/resolve/main/CoE-Wiki-CoE-8B.IQ4_XS.gguf) | IQ4_XS | 4.7 | | | [GGUF](https://huggingface.co/mradermacher/CoE-Wiki-CoE-8B-GGUF/resolve/main/CoE-Wiki-CoE-8B.Q4_K_S.gguf) | Q4_...

Source context: 378 downloads · 0 likes · Pipeline visual-question-answering · Library transformers · Repo mradermacher/CoE-Wiki-CoE-8B-GGUF

Source context: 142 downloads · 0 likes · Pipeline visual-question-answering · Library transformers · Repo mradermacher/CoE-Wiki-CoE-8B-GGUF