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

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

mradermacher Qwen 9B GGUF 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%2FHuihui-Qwen3.5-9B-abliterated-Grimoire-KTO-i1-GGUF"
Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 5,594
  • 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='nbeerbower/Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO' (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
6K
972 last 30d - stable
Likes
0
Model age
6mo ago
created 2026-03-23

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
Now5.8K→from961↑502%
7202.6K4.4K6.3K961 on Mar 255.8K on Oct 11MarAprMayJunJulAugSepOct
Mar 25 → Oct 11 · 68 snapshots · spans 200 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 · 1K 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 grimoire text-generation kto en dataset:schneewolflabs/Athanorlite-DPO base_model:nbeerbower/Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO base_model:quantized:nbeerbower/Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO endpoints_compatible region:us

Related

Total size
103 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-03-23 21:00

Files by quantization

Q6_K 1 file 6.85 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-Q6_K.gguf 6.85 GB 6319a303 download
Q5_K 2 files 11.9 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-Q5_K_M.gguf 6.02 GB a8122195 download
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-Q5_K_S.gguf 5.87 GB 9d070b7d download
Q4 2 files 10.4 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-Q4_1.gguf 5.41 GB a2420b4d download
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-Q4_0.gguf 4.96 GB f0ec52af download
Q4_K 2 files 10.2 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-Q4_K_M.gguf 5.24 GB a9b6940d download
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-Q4_K_S.gguf 4.98 GB a8aff94e download
IQ4 2 files 9.89 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-IQ4_NL.gguf 5.05 GB f847309a download
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-IQ4_XS.gguf 4.84 GB 50a4aa09 download
Q3_K 3 files 12.9 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-Q3_K_L.gguf 4.59 GB 6a7a0717 download
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-Q3_K_M.gguf 4.31 GB 45de07d7 download
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-Q3_K_S.gguf 3.97 GB 444ab80e download
IQ3 4 files 15.8 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-IQ3_M.gguf 4.11 GB 61c0e21a download
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-IQ3_S.gguf 4.07 GB eda8e6d1 download
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-IQ3_XS.gguf 3.95 GB f49b50d1 download
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-IQ3_XXS.gguf 3.67 GB ac488902 download
Q2_K 2 files 7.01 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-Q2_K.gguf 3.56 GB 8d46dee3 download
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-Q2_K_S.gguf 3.44 GB 0481c876 download
IQ2 4 files 12.5 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-IQ2_M.gguf 3.36 GB e23ab984 download
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-IQ2_S.gguf 3.19 GB 0041d393 download
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-IQ2_XS.gguf 3.06 GB 443c616e download
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-IQ2_XXS.gguf 2.89 GB e13d98fa download
IQ1 2 files 5.23 GB
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-IQ1_M.gguf 2.68 GB e5045e6c download
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.i1-IQ1_S.gguf 2.55 GB 6dde45d9 download
Auxiliary files 3 files 4.92 MB
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO.imatrix.gguf 4.91 MB c14e4c61 download
README.md 7.26 KB 92eade01 download
.gitattributes 3.76 KB 2e45adb0 download

README current version from Hugging Face


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

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

About

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

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-KTO-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 5 versions

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

  1. 2026-03-23auto-patch README.md2ac2c357.3 KB
    Loading...
  2. 2026-03-23auto-patch README.mdf60272f5.9 KB
    Loading...
  3. 2026-03-23auto-patch README.mdbc821c94.7 KB
    Loading...
  4. 2026-03-23auto-patch README.md980f3fe2.8 KB
    Loading...
  5. 2026-03-23uploaded from leia8877a67499 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