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mradermacher/Qwen2.5-Coder-3B-Abliterated-GGUF

mradermacher 3B GGUF second-order 33K ctx
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Response includes
  • classification m-uncensored
  • files 14
  • hub_downloads_all_time 984
  • author_summary 3356 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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
984
159 last 30d - stable
Likes
0
Model age
6w ago
created 2026-09-04
Downloads over time
Now1.1K→from0↑0%
03907801.2K0 on Sep 41.1K on Oct 19SepOct
Sep 4 → Oct 19 · 46 snapshots · spans 45 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 · 829 downloads combined

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

Metadata

Languages
en
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf qwen qwen2.5 uncensored abliterated representation-engineering en base_model:micymike/Qwen2.5-Coder-3B-Abliterated base_model:quantized:micymike/Qwen2.5-Coder-3B-Abliterated endpoints_compatible region:us

Related

Total size
26.0 GB
Files
14
Quantizations
9
Registered
2026-09-04 11:03
Last updated on HF
2026-09-04 13:18

Files by quantization

F16 1 file 5.75 GB
Qwen2.5-Coder-3B-Abliterated.f16.gguf 5.75 GB 7ee99185 download
Q8_0 1 file 3.06 GB
Qwen2.5-Coder-3B-Abliterated.Q8_0.gguf 3.06 GB e7a66919 download
Q6_K 1 file 2.36 GB
Qwen2.5-Coder-3B-Abliterated.Q6_K.gguf 2.36 GB 667a4722 download
Q5_K 2 files 4.09 GB
Qwen2.5-Coder-3B-Abliterated.Q5_K_M.gguf 2.07 GB bc9484a8 download
Qwen2.5-Coder-3B-Abliterated.Q5_K_S.gguf 2.02 GB ffb52b27 download
Q4_K 2 files 3.51 GB
Qwen2.5-Coder-3B-Abliterated.Q4_K_M.gguf 1.80 GB e1567143 download
Qwen2.5-Coder-3B-Abliterated.Q4_K_S.gguf 1.71 GB 49a1a08e download
IQ4 1 file 1.63 GB
Qwen2.5-Coder-3B-Abliterated.IQ4_XS.gguf 1.63 GB 11c8f603 download
Q3_K 3 files 4.43 GB
Qwen2.5-Coder-3B-Abliterated.Q3_K_L.gguf 1.59 GB acf5b1e5 download
Qwen2.5-Coder-3B-Abliterated.Q3_K_M.gguf 1.48 GB 511e175f download
Qwen2.5-Coder-3B-Abliterated.Q3_K_S.gguf 1.35 GB 6627527d download
Q2_K 1 file 1.19 GB
Qwen2.5-Coder-3B-Abliterated.Q2_K.gguf 1.19 GB 8d9a5ca7 download
Auxiliary files 2 files 6.31 KB
README.md 3.93 KB d3694955 download
.gitattributes 2.38 KB fbb5cdf5 download

README current version from Hugging Face


base_model: micymike/Qwen2.5-Coder-3B-Abliterated
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • qwen
  • qwen2.5
  • uncensored
  • abliterated
  • representation-engineering

About

static quants of https://huggingface.co/micymike/Qwen2.5-Coder-3B-Abliterated

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

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 Q2_K 1.4
GGUF Q3_K_S 1.6
GGUF Q3_K_M 1.7 lower quality
GGUF Q3_K_L 1.8
GGUF IQ4_XS 1.9
GGUF Q4_K_S 1.9 fast, recommended
GGUF Q4_K_M 2.0 fast, recommended
GGUF Q5_K_S 2.3
GGUF Q5_K_M 2.3
GGUF Q6_K 2.6 very good quality
GGUF Q8_0 3.4 fast, best quality
GGUF f16 6.3 16 bpw, overkill

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.

README history 3 versions

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

  1. 2026-09-04auto-patch README.md9843f733.8 KB
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  2. 2026-09-04auto-patch README.md27734333.9 KB
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  3. 2026-09-04uploaded from leia1116367380 B
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