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mradermacher/Qwen3.5-27B-abliterated-v2-MAX-i1-GGUF

mradermacher Qwen 27B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 12,241
  • 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/Qwen3.5-27B-abliterated-v2-MAX' (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
12K
2K last 30d - stable
Likes
0
Model age
6mo ago
created 2026-04-01
Downloads over time
Now12.6K→from8.8K↑44%
8.6K10K11.5K13K8.8K on Apr 1512.6K on Oct 12AprMayJunJulAugSepOct
Apr 15 → Oct 12 · 66 snapshots · spans 180 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
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf text-generation-inference uncensored abliterated unfiltered unredacted refusal-ablated vllm pytorch bf16 max

Related

Total size
280 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-04-01 16:26

Files by quantization

Q6_K 1 file 20.6 GB
Qwen3.5-27B-abliterated-v2-MAX.i1-Q6_K.gguf 20.6 GB bae00d37 download
Q5_K 2 files 35.3 GB
Qwen3.5-27B-abliterated-v2-MAX.i1-Q5_K_M.gguf 17.9 GB 79865f29 download
Qwen3.5-27B-abliterated-v2-MAX.i1-Q5_K_S.gguf 17.4 GB d2f3bdf0 download
Q4 2 files 30.4 GB
Qwen3.5-27B-abliterated-v2-MAX.i1-Q4_1.gguf 15.9 GB 0a1c0fd4 download
Qwen3.5-27B-abliterated-v2-MAX.i1-Q4_0.gguf 14.5 GB a6c906e0 download
Q4_K 2 files 29.9 GB
Qwen3.5-27B-abliterated-v2-MAX.i1-Q4_K_M.gguf 15.4 GB c726197c download
Qwen3.5-27B-abliterated-v2-MAX.i1-Q4_K_S.gguf 14.5 GB ae93ee75 download
IQ4 1 file 14.0 GB
Qwen3.5-27B-abliterated-v2-MAX.i1-IQ4_XS.gguf 14.0 GB a18ef807 download
Q3_K 3 files 37.0 GB
Qwen3.5-27B-abliterated-v2-MAX.i1-Q3_K_L.gguf 13.4 GB 20bd66e8 download
Qwen3.5-27B-abliterated-v2-MAX.i1-Q3_K_M.gguf 12.4 GB 95d0a9a5 download
Qwen3.5-27B-abliterated-v2-MAX.i1-Q3_K_S.gguf 11.2 GB fd8ab5bc download
IQ3 4 files 44.8 GB
Qwen3.5-27B-abliterated-v2-MAX.i1-IQ3_M.gguf 11.7 GB fcc1eccb download
Qwen3.5-27B-abliterated-v2-MAX.i1-IQ3_S.gguf 11.6 GB 42d0a5cc download
Qwen3.5-27B-abliterated-v2-MAX.i1-IQ3_XS.gguf 11.1 GB 0ee3adc2 download
Qwen3.5-27B-abliterated-v2-MAX.i1-IQ3_XXS.gguf 10.4 GB 92995927 download
Q2_K 2 files 19.5 GB
Qwen3.5-27B-abliterated-v2-MAX.i1-Q2_K.gguf 9.98 GB dc66ebc0 download
Qwen3.5-27B-abliterated-v2-MAX.i1-Q2_K_S.gguf 9.54 GB 2631b2f0 download
IQ2 4 files 34.4 GB
Qwen3.5-27B-abliterated-v2-MAX.i1-IQ2_M.gguf 9.32 GB 68916c79 download
Qwen3.5-27B-abliterated-v2-MAX.i1-IQ2_S.gguf 8.72 GB eefbb781 download
Qwen3.5-27B-abliterated-v2-MAX.i1-IQ2_XS.gguf 8.47 GB 690f3c16 download
Qwen3.5-27B-abliterated-v2-MAX.i1-IQ2_XXS.gguf 7.85 GB ac46470e download
IQ1 2 files 13.8 GB
Qwen3.5-27B-abliterated-v2-MAX.i1-IQ1_M.gguf 7.11 GB e84b0100 download
Qwen3.5-27B-abliterated-v2-MAX.i1-IQ1_S.gguf 6.66 GB 755a05eb download
Auxiliary files 3 files 13.0 MB
Qwen3.5-27B-abliterated-v2-MAX.imatrix.gguf 13.0 MB cf5d2d70 download
README.md 6.75 KB f2a9c504 download
.gitattributes 3.39 KB 125afbfa download

README current version from Hugging Face


base_model: prithivMLmods/Qwen3.5-27B-abliterated-v2-MAX
language:

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

About

weighted/imatrix quants of https://huggingface.co/prithivMLmods/Qwen3.5-27B-abliterated-v2-MAX

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

static quants are available at https://huggingface.co/mradermacher/Qwen3.5-27B-abliterated-v2-MAX-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 7.2 for the desperate
GGUF i1-IQ1_M 7.7 mostly desperate
GGUF i1-IQ2_XXS 8.5
GGUF i1-IQ2_XS 9.2
GGUF i1-IQ2_S 9.5
GGUF i1-IQ2_M 10.1
GGUF i1-Q2_K_S 10.3 very low quality
GGUF i1-Q2_K 10.8 IQ3_XXS probably better
GGUF i1-IQ3_XXS 11.3 lower quality
GGUF i1-IQ3_XS 12.1
GGUF i1-Q3_K_S 12.2 IQ3_XS probably better
GGUF i1-IQ3_S 12.5 beats Q3_K*
GGUF i1-IQ3_M 12.7
GGUF i1-Q3_K_M 13.4 IQ3_S probably better
GGUF i1-Q3_K_L 14.4 IQ3_M probably better
GGUF i1-IQ4_XS 15.2
GGUF i1-Q4_0 15.6 fast, low quality
GGUF i1-Q4_K_S 15.7 optimal size/speed/quality
GGUF i1-Q4_K_M 16.6 fast, recommended
GGUF i1-Q4_1 17.2
GGUF i1-Q5_K_S 18.8
GGUF i1-Q5_K_M 19.3
GGUF i1-Q6_K 22.2 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. 2026-04-01auto-patch README.md3a43f926.7 KB
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  2. 2026-04-01auto-patch README.mda72321a6.4 KB
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  3. 2026-04-01uploaded from nico19ae1c08490 B
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