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

mradermacher/Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO-i1-GGUF

mradermacher Qwen 2B GGUF multimodal second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 14,110
  • 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-Qwen3.5-2B-abliterated-Athanorlite-ORPO' (base has 'abliterated' marker, assume M1 default)
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Downloads · lifetime
14K
2K last 30d - stable
Likes
2
Model age
6mo ago
created 2026-04-12

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
Now14.8K→from4.8K↑213%
4.2K8.1K12K15.9K4.8K on Apr 1514.8K on Oct 11AprMayJunJulAugSepOct
Apr 15 → Oct 11 · 65 snapshots · spans 179 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

Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf merlina grimoire image-text-to-text vision-language-model orpo en dataset:schneewolflabs/Athanorlite-DPO base_model:nbeerbower/Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO base_model:quantized:nbeerbower/Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO endpoints_compatible

Related

Total size
24.0 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-04-21 09:32

Files by quantization

Q6_K 1 file 1.45 GB
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-Q6_K.gguf 1.45 GB 68c28b99 download
Q5_K 2 files 2.59 GB
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-Q5_K_M.gguf 1.31 GB 60ff6071 download
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-Q5_K_S.gguf 1.28 GB bd61e7d8 download
Q4 2 files 2.32 GB
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-Q4_1.gguf 1.20 GB 03409112 download
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-Q4_0.gguf 1.12 GB 333949f1 download
Q4_K 2 files 2.32 GB
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-Q4_K_M.gguf 1.19 GB 41d604da download
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-Q4_K_S.gguf 1.13 GB c312cbec download
IQ4 2 files 2.26 GB
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-IQ4_NL.gguf 1.15 GB 1f7c266b download
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-IQ4_XS.gguf 1.11 GB d81b5f5c download
Q3_K 3 files 3.06 GB
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-Q3_K_L.gguf 1.08 GB f000be52 download
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-Q3_K_M.gguf 1.02 GB 4d521227 download
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-Q3_K_S.gguf 973 MB 5e9dd25d download
IQ3 4 files 3.79 GB
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-IQ3_M.gguf 1010 MB 0b5f114b download
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-IQ3_S.gguf 1002 MB ca350893 download
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-IQ3_XS.gguf 980 MB 9c7e6bae download
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-IQ3_XXS.gguf 885 MB 1dcd4663 download
Q2_K 2 files 1.78 GB
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-Q2_K.gguf 924 MB bc93dfe3 download
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-Q2_K_S.gguf 900 MB 7d28165d download
IQ2 4 files 3.09 GB
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-IQ2_M.gguf 826 MB f2349b84 download
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-IQ2_S.gguf 794 MB f45f1c4e download
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-IQ2_XS.gguf 787 MB b2603a4a download
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-IQ2_XXS.gguf 754 MB 156fa088 download
IQ1 2 files 1.37 GB
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-IQ1_M.gguf 714 MB 03367fcf download
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.i1-IQ1_S.gguf 689 MB 2b75990d download
Auxiliary files 3 files 1.87 MB
Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO.imatrix.gguf 1.86 MB 6b5054fc download
README.md 7.67 KB 5d20aee7 download
.gitattributes 3.86 KB 889d810d download

README current version from Hugging Face


base_model: nbeerbower/Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO
datasets:

  • schneewolflabs/Athanorlite-DPO
    language:
  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • merlina
  • grimoire
  • image-text-to-text
  • vision-language-model
  • orpo

About

weighted/imatrix quants of https://huggingface.co/nbeerbower/Huihui-Qwen3.5-2B-abliterated-Athanorlite-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-Qwen3.5-2B-abliterated-Athanorlite-ORPO-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 0.8 for the desperate
GGUF i1-IQ1_M 0.8 mostly desperate
GGUF i1-IQ2_XXS 0.9
GGUF i1-IQ2_XS 0.9
GGUF i1-IQ2_S 0.9
GGUF i1-IQ2_M 1.0
GGUF i1-IQ3_XXS 1.0 lower quality
GGUF i1-Q2_K_S 1.0 very low quality
GGUF i1-Q2_K 1.1 IQ3_XXS probably better
GGUF i1-Q3_K_S 1.1 IQ3_XS probably better
GGUF i1-IQ3_XS 1.1
GGUF i1-IQ3_S 1.2 beats Q3_K*
GGUF i1-IQ3_M 1.2
GGUF i1-Q3_K_M 1.2 IQ3_S probably better
GGUF i1-Q3_K_L 1.3 IQ3_M probably better
GGUF i1-IQ4_XS 1.3
GGUF i1-Q4_0 1.3 fast, low quality
GGUF i1-Q4_K_S 1.3 optimal size/speed/quality
GGUF i1-IQ4_NL 1.3 prefer IQ4_XS
GGUF i1-Q4_K_M 1.4 fast, recommended
GGUF i1-Q4_1 1.4
GGUF i1-Q5_K_S 1.5
GGUF i1-Q5_K_M 1.5
GGUF i1-Q6_K 1.7 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.md84531907.7 KB
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  2. 2026-04-18auto-patch README.md7ddaf5c7.5 KB
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  3. 2026-04-12auto-patch README.mdd6f4ccb7.7 KB
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  4. 2026-04-12uploaded from nico16a6cccd503 B
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