← back to catalog · registered 2026-08-22 13:56

mradermacher/Qwen3.5-9B-Uncensored-Safetensors-i1-GGUF

mradermacher Qwen 9B GGUF multimodal second-order 262K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FQwen3.5-9B-Uncensored-Safetensors-i1-GGUF"
Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 10,128
  • author_summary 3324 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 3 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=mradermacher (M8 quantization producer, never originator)
  • is_gguf=1
  • base_model='nDimensional/Qwen3.5-9B-Uncensored-Safetensors' (base has 'abliterated' marker, assume M1 default)
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

What is a refusal direction? →
Downloads · lifetime
10K
2K last 30d - stable
Likes
4
Model age
6mo ago
created 2026-03-31
Downloads over time
Now10.5K→from51↑20,445%
03.8K7.7K11.5K51 on Apr 110.5K on Oct 11AprMayJunJulAugSepOct
Apr 1 → Oct 11 · 67 snapshots · spans 193 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Variants by this author 2 formats · 3K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
apache-2.0
Languages
en zh
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf qwen3_5 conversational qwen uncensored unfiltered vllm multimodal ablation qwen35 en

Related

Total size
103 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-04-21 12:39

Files by quantization

Q6_K 1 file 6.85 GB
Qwen3.5-9B-Uncensored-Safetensors.i1-Q6_K.gguf 6.85 GB 8b44aaaa download
Q5_K 2 files 11.9 GB
Qwen3.5-9B-Uncensored-Safetensors.i1-Q5_K_M.gguf 6.02 GB d4edf524 download
Qwen3.5-9B-Uncensored-Safetensors.i1-Q5_K_S.gguf 5.87 GB 77632281 download
Q4 2 files 10.4 GB
Qwen3.5-9B-Uncensored-Safetensors.i1-Q4_1.gguf 5.41 GB 27cce576 download
Qwen3.5-9B-Uncensored-Safetensors.i1-Q4_0.gguf 4.96 GB 9df48c18 download
Q4_K 2 files 10.2 GB
Qwen3.5-9B-Uncensored-Safetensors.i1-Q4_K_M.gguf 5.24 GB d9493197 download
Qwen3.5-9B-Uncensored-Safetensors.i1-Q4_K_S.gguf 4.98 GB 0e536adc download
IQ4 2 files 9.89 GB
Qwen3.5-9B-Uncensored-Safetensors.i1-IQ4_NL.gguf 5.05 GB b642f477 download
Qwen3.5-9B-Uncensored-Safetensors.i1-IQ4_XS.gguf 4.84 GB ecd4524a download
Q3_K 3 files 12.9 GB
Qwen3.5-9B-Uncensored-Safetensors.i1-Q3_K_L.gguf 4.59 GB 674a2566 download
Qwen3.5-9B-Uncensored-Safetensors.i1-Q3_K_M.gguf 4.31 GB 22f1eb4c download
Qwen3.5-9B-Uncensored-Safetensors.i1-Q3_K_S.gguf 3.97 GB e24c628e download
IQ3 4 files 15.8 GB
Qwen3.5-9B-Uncensored-Safetensors.i1-IQ3_M.gguf 4.11 GB 4baf6892 download
Qwen3.5-9B-Uncensored-Safetensors.i1-IQ3_S.gguf 4.07 GB f3e713b3 download
Qwen3.5-9B-Uncensored-Safetensors.i1-IQ3_XS.gguf 3.95 GB 972a0117 download
Qwen3.5-9B-Uncensored-Safetensors.i1-IQ3_XXS.gguf 3.67 GB e3c90da0 download
Q2_K 2 files 7.01 GB
Qwen3.5-9B-Uncensored-Safetensors.i1-Q2_K.gguf 3.56 GB 47cc3b66 download
Qwen3.5-9B-Uncensored-Safetensors.i1-Q2_K_S.gguf 3.44 GB a06be51d download
IQ2 4 files 12.5 GB
Qwen3.5-9B-Uncensored-Safetensors.i1-IQ2_M.gguf 3.36 GB 9b99c1b7 download
Qwen3.5-9B-Uncensored-Safetensors.i1-IQ2_S.gguf 3.19 GB 01ed6a70 download
Qwen3.5-9B-Uncensored-Safetensors.i1-IQ2_XS.gguf 3.06 GB b44a3fef download
Qwen3.5-9B-Uncensored-Safetensors.i1-IQ2_XXS.gguf 2.89 GB b8d6f1b8 download
IQ1 2 files 5.23 GB
Qwen3.5-9B-Uncensored-Safetensors.i1-IQ1_M.gguf 2.68 GB ff1f73f4 download
Qwen3.5-9B-Uncensored-Safetensors.i1-IQ1_S.gguf 2.55 GB de387edf download
Auxiliary files 3 files 4.92 MB
Qwen3.5-9B-Uncensored-Safetensors.imatrix.gguf 4.91 MB 678d5db3 download
README.md 6.98 KB fceeadee download
.gitattributes 3.54 KB 6babb6dd download

README current version from Hugging Face


base_model: nDimensional/Qwen3.5-9B-Uncensored-Safetensors
language:

  • en
  • zh
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • qwen3_5
  • conversational
  • qwen
  • uncensored
  • unfiltered
  • vllm
  • multimodal
  • ablation
  • qwen35

About

weighted/imatrix quants of https://huggingface.co/nDimensional/Qwen3.5-9B-Uncensored-Safetensors

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

static quants are available at https://huggingface.co/mradermacher/Qwen3.5-9B-Uncensored-Safetensors-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.

README history 4 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-04-21auto-patch README.md72abd3b7 KB
    Loading...
  2. 2026-04-18auto-patch README.md7998c9f6.8 KB
    Loading...
  3. 2026-03-31auto-patch README.md809a3557 KB
    Loading...
  4. 2026-03-31uploaded from nico165ea1b3492 B
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration