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

mradermacher/Gliese-Qwen3.5-9B-Abliterated-Caption-i1-GGUF

mradermacher Qwen 9B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 28,347
  • author_summary 3324 models
  • readme_text full
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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='prithivMLmods/Gliese-Qwen3.5-9B-Abliterated-Caption' (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
28K
2K last 30d - cooling
Likes
9
Model age
7mo ago
created 2026-03-11
Downloads over time
Now29.1K→from9.1K↑218%
8.1K15.8K23.5K31.1K9.1K on Mar 1129.1K on Oct 11MarAprMayJunJulAugSepOct
Mar 11 → Oct 11 · 70 snapshots · spans 214 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 · 4K 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 text-generation-inference pytorch uncensored abliterated unfiltered unredacted refusal-ablated vllm bf16 max

Related

Total size
100 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-03-11 12:51

Files by quantization

Q6_K 1 file 6.85 GB
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-Q6_K.gguf 6.85 GB 58a3e62d download
Q5_K 2 files 11.9 GB
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-Q5_K_M.gguf 6.07 GB e8337560 download
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-Q5_K_S.gguf 5.87 GB 9dcfb670 download
Q4 2 files 10.4 GB
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-Q4_1.gguf 5.41 GB c2b9bbf4 download
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-Q4_0.gguf 4.96 GB 16de8087 download
Q4_K 2 files 10.2 GB
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-Q4_K_M.gguf 5.24 GB bc62b475 download
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-Q4_K_S.gguf 4.97 GB 32974496 download
IQ4 2 files 9.67 GB
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-IQ4_NL.gguf 4.95 GB 8440a767 download
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-IQ4_XS.gguf 4.72 GB f793b434 download
Q3_K 3 files 12.8 GB
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-Q3_K_L.gguf 4.49 GB 8ecd5d24 download
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-Q3_K_M.gguf 4.30 GB c29d1eee download
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-Q3_K_S.gguf 3.97 GB 5c7c0382 download
IQ3 4 files 15.5 GB
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-IQ3_M.gguf 4.11 GB 0874b6e8 download
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-IQ3_S.gguf 3.97 GB 3fe9084c download
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-IQ3_XS.gguf 3.85 GB eff2f4f4 download
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-IQ3_XXS.gguf 3.53 GB 8faa9db9 download
Q2_K 2 files 6.66 GB
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-Q2_K.gguf 3.39 GB d57fc888 download
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-Q2_K_S.gguf 3.27 GB 2baa5b34 download
IQ2 4 files 11.7 GB
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-IQ2_M.gguf 3.18 GB 9ba8f553 download
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-IQ2_S.gguf 2.99 GB 9379c1f5 download
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-IQ2_XS.gguf 2.85 GB 902a6b21 download
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-IQ2_XXS.gguf 2.66 GB ce7e31b1 download
IQ1 2 files 4.70 GB
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-IQ1_M.gguf 2.42 GB 166fcbd2 download
Gliese-Qwen3.5-9B-Abliterated-Caption.i1-IQ1_S.gguf 2.28 GB 77d8b205 download
Auxiliary files 3 files 4.92 MB
Gliese-Qwen3.5-9B-Abliterated-Caption.imatrix.gguf 4.91 MB 73b5983e download
README.md 7.26 KB bb323290 download
.gitattributes 3.64 KB b801a9da download

README current version from Hugging Face


base_model: prithivMLmods/Gliese-Qwen3.5-9B-Abliterated-Caption
language:

  • en
  • zh
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • text-generation-inference
  • pytorch
  • uncensored
  • abliterated
  • unfiltered
  • unredacted
  • refusal-ablated
  • vllm
  • bf16
  • max
  • alignment-modified
  • reasoning

About

weighted/imatrix quants of https://huggingface.co/prithivMLmods/Gliese-Qwen3.5-9B-Abliterated-Caption

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

static quants are available at https://huggingface.co/mradermacher/Gliese-Qwen3.5-9B-Abliterated-Caption-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 2.5 for the desperate
GGUF i1-IQ1_M 2.7 mostly desperate
GGUF i1-IQ2_XXS 3.0
GGUF i1-IQ2_XS 3.2
GGUF i1-IQ2_S 3.3
GGUF i1-IQ2_M 3.5
GGUF i1-Q2_K_S 3.6 very low quality
GGUF i1-Q2_K 3.7 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.9 lower quality
GGUF i1-IQ3_XS 4.2
GGUF i1-Q3_K_S 4.4 IQ3_XS probably better
GGUF i1-IQ3_S 4.4 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 4.9 IQ3_M probably better
GGUF i1-IQ4_XS 5.2
GGUF i1-IQ4_NL 5.4 prefer IQ4_XS
GGUF i1-Q4_0 5.4 fast, low quality
GGUF i1-Q4_K_S 5.4 optimal size/speed/quality
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. 2026-03-11auto-patch README.md411cf5d7.3 KB
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  2. 2026-03-11auto-patch README.mdad5ddfb7.3 KB
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  3. 2026-03-11auto-patch README.mdaa796cd3.7 KB
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  4. 2026-03-11uploaded from nico16f7faa5497 B
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