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mradermacher/Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO-i1-GGUF

mradermacher Qwen 9B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 3,737
  • 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='nbeerbower/Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO' (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.

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Downloads · lifetime
4K
2K last 30d - stable
Likes
1
Model age
6mo ago
created 2026-03-17

Training datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now4.1K→from740↑448%
5741.8K3.1K4.4K740 on Mar 184.1K on Oct 11MarAprMayJunJulAugSepOct
Mar 18 → Oct 11 · 70 snapshots · spans 207 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 · 2K downloads combined

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

Metadata

Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf merlina text-generation orpo en dataset:schneewolflabs/Athanorlite-DPO base_model:nbeerbower/Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO base_model:quantized:nbeerbower/Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO endpoints_compatible region:us imatrix

Related

Total size
103 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-03-17 12:09

Files by quantization

Q6_K 1 file 6.85 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-Q6_K.gguf 6.85 GB f87d8e6d download
Q5_K 2 files 11.9 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-Q5_K_M.gguf 6.02 GB bdc39c17 download
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-Q5_K_S.gguf 5.87 GB 98a269e5 download
Q4 2 files 10.4 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-Q4_1.gguf 5.41 GB b4e2de0a download
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-Q4_0.gguf 4.96 GB 4298b3b5 download
Q4_K 2 files 10.2 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-Q4_K_M.gguf 5.24 GB ec5f1049 download
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-Q4_K_S.gguf 4.98 GB e6a1153a download
IQ4 2 files 9.89 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-IQ4_NL.gguf 5.05 GB 95e6c737 download
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-IQ4_XS.gguf 4.84 GB 7b55f611 download
Q3_K 3 files 12.9 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-Q3_K_L.gguf 4.59 GB 5dd4a8c9 download
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-Q3_K_M.gguf 4.31 GB e6c53edc download
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-Q3_K_S.gguf 3.97 GB 3a423cb6 download
IQ3 4 files 15.8 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-IQ3_M.gguf 4.11 GB 01ea00fb download
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-IQ3_S.gguf 4.07 GB 50eade82 download
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-IQ3_XS.gguf 3.95 GB df40881f download
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-IQ3_XXS.gguf 3.67 GB 01c26c8a download
Q2_K 2 files 7.01 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-Q2_K.gguf 3.56 GB f4e57403 download
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-Q2_K_S.gguf 3.44 GB bdc04496 download
IQ2 4 files 12.5 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-IQ2_M.gguf 3.36 GB 6125ddb7 download
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-IQ2_S.gguf 3.19 GB 3d6ab569 download
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-IQ2_XS.gguf 3.06 GB 4ac4cf3a download
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-IQ2_XXS.gguf 2.89 GB 65d9261b download
IQ1 2 files 5.23 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-IQ1_M.gguf 2.68 GB 17cbf0fc download
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.i1-IQ1_S.gguf 2.55 GB cd1eca6b download
Auxiliary files 3 files 4.92 MB
Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO.imatrix.gguf 4.91 MB b8246e5d download
README.md 7.30 KB 000823f2 download
.gitattributes 3.79 KB 895eb67b download

README current version from Hugging Face


base_model: nbeerbower/Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO
datasets:

  • schneewolflabs/Athanorlite-DPO
    language:
  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • merlina
  • text-generation
  • orpo

About

weighted/imatrix quants of https://huggingface.co/nbeerbower/Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO

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

static quants are available at https://huggingface.co/mradermacher/Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO-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 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 3 versions

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

  1. 2026-03-17auto-patch README.md8f37a747.3 KB
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  2. 2026-03-17auto-patch README.md4b67db12.5 KB
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  3. 2026-03-17uploaded from marco232d92d500 B
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