ModelVerificadoExterno

Qwen3.5 35B Base GGUF

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

Fuentehuggingface.co/mradermacher/Qwen3.5_35B_Base-GGUF/tree/d71553006d894968ef7b263465ec7a7052161246

TipoOtherModelo baseBabsie/Qwen3.5_35B_BaseVersiónRevision d715530Publicador@mradermacherCcalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 586 MB–34,4 GB
Modelo base: Babsie/Qwen3.5_35B_Base
Versión: vRevision d715530
Actualizado: 1 oct 2026
Publicador: @mradermacher
Descargas: 204
Fuente: Hugging Face

Descripción de la fuente

About

static quants of https://huggingface.co/Babsie/Qwen3.5_35B_Base

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3.5_35B_Base-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)

Link	Type	Size/GB	Notes
GGUF	mmproj-Q8_0	0.7	multi-modal supplement
GGUF	mmproj-f16	1.0	multi-modal supplement
GGUF	Q2_K	13.0
GGUF	Q3_K_S	15.3
GGUF	Q3_K_M	16.9	lower quality
GGUF	Q3_K_L	18.2
GGUF	IQ4_XS	19.0
GGUF	Q4_K_S	20.0	fast, recommended
GGUF	Q4_K_M	21.3	fast, recommended
GGUF	Q5_K_S	24.1
GGUF	Q5_K_M	24.8
GGUF	Q6_K	28.6	very good quality
GGUF	Q8_0	37.0	fast, best quality

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 d71553006d894968ef7b263465ec7a7052161246

huggingface.co/mradermacher/Qwen3.5_35B_Base-GGUF/tree/d71553006d894968ef7b263465ec7a7052161246

Verificado 1 oct

Artefactos del modelo

13 artefactos

Qwen3.5_35B_Base.IQ4_XS.gguf

gguf · 17,6 GB · SHA-256 54d6d5b998eb…5851 · Hugging Face

Descargar

Qwen3.5_35B_Base.mmproj-f16.gguf

gguf · 858 MB · SHA-256 d9370afb05e1…5381 · Hugging Face

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Qwen3.5_35B_Base.mmproj-Q8_0.gguf

gguf · 586 MB · SHA-256 f5606a7c4d2f…72cd · Hugging Face

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Qwen3.5_35B_Base.Q2_K.gguf

gguf · 12,1 GB · SHA-256 b3ceed79127f…f414 · Hugging Face

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Qwen3.5_35B_Base.Q3_K_L.gguf

gguf · 16,9 GB · SHA-256 8fcabdb26ceb…6e26 · Hugging Face

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Qwen3.5_35B_Base.Q3_K_M.gguf

gguf · 15,6 GB · SHA-256 05a25b47950c…f8f7 · Hugging Face

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Qwen3.5_35B_Base.Q3_K_S.gguf

gguf · 14,1 GB · SHA-256 c4aa1d9f2bae…d5df · Hugging Face

Descargar

Qwen3.5_35B_Base.Q4_K_M.gguf

gguf · 19,7 GB · SHA-256 a57e3b84fb1f…96c1 · Hugging Face

Descargar

Qwen3.5_35B_Base.Q4_K_S.gguf

gguf · 18,5 GB · SHA-256 4f68676ffbb8…acc1 · Hugging Face

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Qwen3.5_35B_Base.Q5_K_M.gguf

gguf · 23,0 GB · SHA-256 af634341fb0a…7baf · Hugging Face

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Qwen3.5_35B_Base.Q5_K_S.gguf

gguf · 22,3 GB · SHA-256 c8204c8a767f…3a30 · Hugging Face

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Qwen3.5_35B_Base.Q6_K.gguf

gguf · 26,6 GB · SHA-256 4e4340369602…0d48 · Hugging Face

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Qwen3.5_35B_Base.Q8_0.gguf

gguf · 34,4 GB · SHA-256 c0f6b67fa0b3…55e9 · Hugging Face

Descargar

Extractos de fuentes

3 extractos

Readme11 julhuggingface.co/mradermacher/Qwen3.5_35B_Base-GGUF

--- base_model: Babsie/Qwen3.5_35B_Base language: - en library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3.5-35B-A3B-Base/blob/main/LICENSE mradermacher: readme_rev: 1 quantized_by: mradermacher --- ## About         static quants of https://huggingface.co/Babsie/Qwen3.5_35B_Base  ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3.5_35B_Base-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3.5_35B_Base-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/Qwen3.5_35B_Base-GGUF/resolve/main/Qwen3.5_35B_Base.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.7 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Qwen3.5_35B_Base-GGUF/resolve/main/Qwen3.5_35B_Base.mmproj-f16.gguf) | mmproj-f16 | 1.0 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Qwen3.5_35B_Base-GGUF/resolve/main/Qwen3.5_35B_Base.Q2_K.gguf) | Q2_K | 13.0 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3.5_35B_Base-GGUF/resolve/main/Qwen3.5_35B_Base.Q3_K_S.gguf) | Q3_K_S | 15.3 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3.5_35B_Base-GGUF/resolve/main/Qwen3.5_35B_Base.Q3_K_M.gguf) | Q3_K_M | 16.9 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Qwen3.5_35B_Base-GGUF/resolve/main/Qwen3.5_35B_Base.Q3_K_L.gguf) | Q3_K_L | 18.2 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3.5_35B_Base-GGUF/resolve/main/Qwen3.5_35B_Base.IQ4_XS.gguf) | IQ4_XS | 19.0 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3.5_35B_Base-GGUF/resolve/main/Qwen3.5_35B_Base.Q4_K_S.gguf) | Q4_K_S |...

Note1 octhuggingface.co/mradermacher/Qwen3.5_35B_Base-GGUF

Source context: 204 downloads · 1 likes · Library transformers · Repo mradermacher/Qwen3.5_35B_Base-GGUF

Note16 julhuggingface.co/mradermacher/Qwen3.5_35B_Base-GGUF

Source context: 64 downloads · 1 likes · Library transformers · Repo mradermacher/Qwen3.5_35B_Base-GGUF