Ir para o conteúdo
ModelVerificadoExterno
Baixar

VisReason Qwen2.5 VL 7B GGUF

basemodel: Y-Research-Group/VisReason-Qwen2.5-VL-7B datasets: Y-Research-Group/VisReason language: en libraryname: transformers license: other mradermacher: readmerev: 1 quantizedby: mradermacher tags:...

TipoOtherModelo baseY-Research-Group/VisReason-Qwen2.5-VL-7BVersãoPublicador@mradermacherCnota

Fonte do modelo

Tipo
Other
Tamanho do arquivo
14,2 GB
Modelo base
Y-Research-Group/VisReason-Qwen2.5-VL-7B
Versão
vVisReason-Qwen2.5-VL-7B.f16
Atualizado
14 de set. de 2026
Publicador
@mradermacher
Parâmetros
7B
Fonte
Hugging Face

Descrição da fonte

About

static quants of https://huggingface.co/Y-Research-Group/VisReason-Qwen2.5-VL-7B

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/VisReason-Qwen2.5-VL-7B-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_01.0multi-modal supplement
GGUFmmproj-f161.5multi-modal supplement
GGUFQ2_K3.1
GGUFQ3_K_S3.6
GGUFQ3_K_M3.9lower 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
GGUFf1615.316 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.

Fontes

1 fonte
Hugging FaceFonteVersão d8b938998ded7de99e5c37c5256969b088bd9e0a
huggingface.co/mradermacher/VisReason-Qwen2.5-VL-7B-GGUF/tree/d8b938998ded7de99e5c37c5256969b088bd9e0a

Verificado 10 de ago.

Artefatos de modelo

1 artefato

VisReason-Qwen2.5-VL-7B.f16.gguf

gguf · 14,2 GB · SHA-256 ff0c58863672…0870 · Hugging Face

Baixar

Trechos de fonte

3 trechos

--- base_model: Y-Research-Group/VisReason-Qwen2.5-VL-7B datasets: - Y-Research-Group/VisReason language: - en library_name: transformers license: other mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - visual-chain-of-thought - visual-reasoning - multimodal - grounding - qwen2_5_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/Y-Research-Group/VisReason-Qwen2.5-VL-7B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#VisReason-Qwen2.5-VL-7B-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/VisReason-Qwen2.5-VL-7B-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/VisReason-Qwen2.5-VL-7B-GGUF/resolve/main/VisReason-Qwen2.5-VL-7B.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 1.0 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/VisReason-Qwen2.5-VL-7B-GGUF/resolve/main/VisReason-Qwen2.5-VL-7B.mmproj-f16.gguf) | mmproj-f16 | 1.5 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/VisReason-Qwen2.5-VL-7B-GGUF/resolve/main/VisReason-Qwen2.5-VL-7B.Q2_K.gguf) | Q2_K | 3.1 | | | [GGUF](https://huggingface.co/mradermacher/VisReason-Qwen2.5-VL-7B-GGUF/resolve/main/VisReason-Qwen2.5-VL-7B.Q3_K_S.gguf) | Q3_K_S | 3.6 | | | [GGUF](https://huggingface.co/mradermacher/VisReason-Qwen2.5-VL-7B-GGUF/resolve/main/VisReason-Qwen2.5-VL-7B.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality | | [GGUF](https://huggingface.co/mradermacher/VisReason-Qwen2.5-VL-7B-GGUF/resolve/main/VisReason-Qwen2.5-VL-7B.Q3_K_L.gguf) | Q3_K_L | 4.2 | | | [GGUF](https://huggingface.co/mradermacher/VisReason-Qwen2.5-VL-7B-GGUF/resolv...

Source context: 652 downloads · 0 likes · Library transformers · Repo mradermacher/VisReason-Qwen2.5-VL-7B-GGUF

Source context: 560 downloads · 0 likes · Library transformers · Repo mradermacher/VisReason-Qwen2.5-VL-7B-GGUF