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Dumpling Qwen2.5 VL 7B GGUF

qwen-research

Sourcehuggingface.co/mradermacher/Dumpling-Qwen2.5-VL-7B-GGUF/tree/main
TypeOtherModèle de basenbeerbower/Dumpling-Qwen2.5-VL-7BVersionmain

Source du modèle

Type
Other
Taille du fichier
2,81–14,2 GB
Modèle de base
nbeerbower/Dumpling-Qwen2.5-VL-7B
Version
vmain
Mis à jour
30 sept. 2026
Téléchargements
800
Source
Hugging Face

Description de la source

About

static quants of https://huggingface.co/nbeerbower/Dumpling-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/Dumpling-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
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.

Sources

1 source
Hugging FacePrincipalVersion main
huggingface.co/mradermacher/Dumpling-Qwen2.5-VL-7B-GGUF/tree/main

Vérifié 30 sept.

Artefacts du modèle

12 artefacts

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

gguf · 14,2 GB · SHA-256 07e68a5f80a7…8600 · Hugging Face

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Dumpling-Qwen2.5-VL-7B.IQ4_XS.gguf

gguf · 3,96 GB · SHA-256 f8e307da616a…113c · Hugging Face

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Dumpling-Qwen2.5-VL-7B.Q2_K.gguf

gguf · 2,81 GB · SHA-256 88ebc27ae3a2…4289 · Hugging Face

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Dumpling-Qwen2.5-VL-7B.Q3_K_L.gguf

gguf · 3,81 GB · SHA-256 e79c2e68d8e0…e658 · Hugging Face

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Dumpling-Qwen2.5-VL-7B.Q3_K_M.gguf

gguf · 3,55 GB · SHA-256 4b587502b678…cb3d · Hugging Face

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Dumpling-Qwen2.5-VL-7B.Q3_K_S.gguf

gguf · 3,25 GB · SHA-256 2ad7b84dce6f…c9c0 · Hugging Face

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Dumpling-Qwen2.5-VL-7B.Q4_K_M.gguf

gguf · 4,36 GB · SHA-256 d5f5a7c6bd9c…fd4b · Hugging Face

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Dumpling-Qwen2.5-VL-7B.Q4_K_S.gguf

gguf · 4,15 GB · SHA-256 9dbb6694bcbd…e37b · Hugging Face

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Dumpling-Qwen2.5-VL-7B.Q5_K_M.gguf

gguf · 5,07 GB · SHA-256 4ac5267ccd05…dd0a · Hugging Face

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Dumpling-Qwen2.5-VL-7B.Q5_K_S.gguf

gguf · 4,95 GB · SHA-256 25692b133d31…a5d3 · Hugging Face

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Dumpling-Qwen2.5-VL-7B.Q6_K.gguf

gguf · 5,82 GB · SHA-256 d72cab217319…01dd · Hugging Face

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Dumpling-Qwen2.5-VL-7B.Q8_0.gguf

gguf · 7,54 GB · SHA-256 d7c938f08dbb…aa8c · Hugging Face

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Extraits de sources

2 extraits
Readme30 sept.huggingface.co/mradermacher/Dumpling-Qwen2.5-VL-7B-GGUF

--- base_model: nbeerbower/Dumpling-Qwen2.5-VL-7B datasets: - nbeerbower/GreatFirewall-DPO - nbeerbower/Schule-DPO - nbeerbower/Purpura-DPO - nbeerbower/Arkhaios-DPO - jondurbin/truthy-dpo-v0.1 - antiven0m/physical-reasoning-dpo - flammenai/Date-DPO-NoAsterisks - flammenai/Prude-Phi3-DPO - Atsunori/HelpSteer2-DPO - jondurbin/gutenberg-dpo-v0.1 - nbeerbower/gutenberg2-dpo - nbeerbower/gutenberg-moderne-dpo language: - en library_name: transformers license_link: https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct/blob/main/LICENSE license_name: qwen-research mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - multimodal - uncensored --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/nbeerbower/Dumpling-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#Dumpling-Qwen2.5-VL-7B-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Dumpling-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/Dumpling-Qwen2.5-VL-7B-GGUF/resolve/main/Dumpling-Qwen2.5-VL-7B.Q2_K.gguf) | Q2_K | 3.1 | | | [GGUF](https://huggingface.co/mradermacher/Dumpling-Qwen2.5-VL-7B-GGUF/resolve/main/Dumpling-Qwen2.5-VL-7B.Q3_K_S.gguf) | Q3_K_S | 3.6 | | | [GGUF](https://huggingface.co/mradermacher/Dumpling-Qwen2.5-VL-7B-GGUF/resolve/main/Dumpling-Qwen2.5-VL-7B.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Dumpling-Qwen2.5-VL-7B-GGUF/resolve/main/Dumpling-Qwen2.5-VL-7B.Q3_K_L.gguf) | Q3_K_L | 4.2 | | | [GGUF](https://huggingface.co/mradermacher/Dumpling-Qwen2.5-VL-7B-GGUF/resolve/main/Dumpling-Qwen2.5-VL-7B.IQ4_XS.gguf) | IQ4_XS | 4.4 | | | [GGUF](https://huggingface.co/mradermacher/Dumpling-Qwen2.5-VL-7B-GGUF/resolve/main/Dumpling-Qwen2.5-V...

Note30 sept.huggingface.co/mradermacher/Dumpling-Qwen2.5-VL-7B-GGUF

Source context: 800 downloads · 0 likes · Library transformers · Repo mradermacher/Dumpling-Qwen2.5-VL-7B-GGUF