- Status
- Verified
- Base model
- …
- Lineage
- …
- Unchanged from base
- …
- 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
- Base model
- Quantized from xtools-at/DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic
- 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-GGUFThrough 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 --quietRead 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 .
27 files, 110 GB. Every download is checked against its address.