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DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic-i1-GGUF

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mradermacher · 9B parameters · 110 GB · Apache 2.0

Address
mradermacher/deepseek-v4-pro-qwen3.5-9b-uncensored-heretic-i1-gguf
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Status
Verified
Base model
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Lineage
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Unchanged from base
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Trending
#22
Downloads, 30 days
217k
Weights
110 GB
Revision

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

At a glance

Parameters
9B
Architecture
Qwen 35
Context
256K tokens
Format
GGUF
Library
transformers
License
Apache 2.0Commercial use
Languages
en, zh, ko, ja, es, ru
Released
Oct 2026
Updated
Oct 2026
Likes
35
Downloads, all time
10,612

Run it

Loads with Transformers AutoModel, pinned to the indexed revision.

llama-server -hf mradermacher/DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic-i1-GGUF

Through the hub: the same tools, each file from a source that is up (Hugging Face, ModelScope, IPFS), at this revision. The second line checks every file against its address.

export HF_ENDPOINT=https://gethologram.ai
cd "$(hf download mradermacher/DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic-i1-GGUF --quiet)" && curl -s $HF_ENDPOINT/mradermacher/DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic-i1-GGUF/resolve/main/SHA256SUMS | sha256sum -c --quiet
Read the full model card

About

weighted/imatrix quants of https://huggingface.co/xtools-at/DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic

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

static quants are available at https://huggingface.co/mradermacher/DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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 imatrix 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 2.8 for the desperate
GGUF i1-IQ1_M 3.0 mostly desperate
GGUF i1-IQ2_XXS 3.2
GGUF i1-IQ2_XS 3.4
GGUF i1-IQ2_S 3.5
GGUF i1-IQ2_M 3.7
GGUF i1-Q2_K_S 3.8 very low quality
GGUF i1-Q2_K 3.9 IQ3_XXS probably better
GGUF i1-IQ3_XXS 4.0 lower quality
GGUF i1-IQ3_XS 4.3
GGUF i1-Q3_K_S 4.4 IQ3_XS probably better
GGUF i1-IQ3_S 4.5 beats Q3_K*
GGUF i1-IQ3_M 4.5
GGUF i1-Q3_K_M 4.7 IQ3_S probably better
GGUF i1-Q3_K_L 5.0 IQ3_M probably better
GGUF i1-IQ4_XS 5.3
GGUF i1-Q4_0 5.4 fast, low quality
GGUF i1-Q4_K_S 5.5 optimal size/speed/quality
GGUF i1-IQ4_NL 5.5 prefer IQ4_XS
GGUF i1-Q4_K_M 5.7 fast, recommended
GGUF i1-Q4_1 5.9
GGUF i1-Q5_K_S 6.4
GGUF i1-Q5_K_M 6.6
GGUF i1-Q6_K 7.5 practically like static Q6_K

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.

Derived on Nov 3, 2026 from Hugging Face at revision fff50f6b, README.md .