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mradermacher/Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B-i1-GGUF

mradermacher Deepseek 19B GGUF MoE second-order 131K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 11,735
  • 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='DavidAU/Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B' (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
12K
2K last 30d - stable
Likes
4
Model age
13mo ago
created 2025-08-26
Downloads over time
Now12.5K→from969↑1,191%
3924.8K9.2K13.7K969 on Aug 27, 202512.5K on Oct 11Aug '25Oct '25Dec '25FebAprJunAugOct
Aug 27, 2025 → Oct 11 · 98 snapshots · spans 410 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 reasoning thinking cognitivecomputations r1 cot deepseek Qwen2.5 Hermes DeepHermes 128k context

Related

Total size
190 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-23 04:51

Files by quantization

Q6_K 1 file 14.5 GB
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-Q6_K.gguf 14.5 GB 82972de1 download
Q5_K 2 files 24.9 GB
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-Q5_K_M.gguf 12.6 GB c90d6803 download
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-Q5_K_S.gguf 12.3 GB 381a910f download
Q4 2 files 21.3 GB
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-Q4_1.gguf 11.2 GB d5a41758 download
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-Q4_0.gguf 10.1 GB 50f50ffc download
Q4_K 2 files 21.0 GB
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-Q4_K_M.gguf 10.8 GB adab1f4f download
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-Q4_K_S.gguf 10.2 GB 3ffabf9c download
IQ4 1 file 9.57 GB
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-IQ4_XS.gguf 9.57 GB 209e6bdd download
Q3_K 3 files 25.7 GB
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-Q3_K_L.gguf 9.29 GB a930c795 download
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-Q3_K_M.gguf 8.60 GB 8e0bc2e6 download
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-Q3_K_S.gguf 7.82 GB 6c8b645b download
IQ3 4 files 30.2 GB
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-IQ3_M.gguf 7.94 GB a91460c5 download
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-IQ3_S.gguf 7.82 GB 73bc05ff download
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-IQ3_XS.gguf 7.43 GB 50dce62e download
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-IQ3_XXS.gguf 6.97 GB f730cf53 download
Q2_K 2 files 12.9 GB
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-Q2_K.gguf 6.66 GB bf326416 download
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-Q2_K_S.gguf 6.21 GB cddccbeb download
IQ2 4 files 21.8 GB
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-IQ2_M.gguf 6.01 GB 1802d7ca download
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-IQ2_S.gguf 5.51 GB 7bcbe3df download
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-IQ2_XS.gguf 5.38 GB 2162df58 download
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-IQ2_XXS.gguf 4.87 GB c0d6de3c download
IQ1 2 files 8.11 GB
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-IQ1_M.gguf 4.24 GB cd22287b download
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.i1-IQ1_S.gguf 3.87 GB 0fe97818 download
Auxiliary files 3 files 10.7 MB
Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B.imatrix.gguf 10.7 MB 94433612 download
README.md 7.64 KB 70c116a1 download
.gitattributes 3.91 KB 8b67abf8 download

README current version from Hugging Face


base_model: DavidAU/Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • reasoning
  • thinking
  • cognitivecomputations
  • r1
  • cot
  • deepseek
  • Qwen2.5
  • Hermes
  • DeepHermes
  • 128k context
  • fine tune
  • merge
  • uncensored
  • abliterated

About

weighted/imatrix quants of https://huggingface.co/DavidAU/Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B

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

static quants are available at https://huggingface.co/mradermacher/Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B-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 4.3 for the desperate
GGUF i1-IQ1_M 4.7 mostly desperate
GGUF i1-IQ2_XXS 5.3
GGUF i1-IQ2_XS 5.9
GGUF i1-IQ2_S 6.0
GGUF i1-IQ2_M 6.5
GGUF i1-Q2_K_S 6.8 very low quality
GGUF i1-Q2_K 7.2 IQ3_XXS probably better
GGUF i1-IQ3_XXS 7.6 lower quality
GGUF i1-IQ3_XS 8.1
GGUF i1-Q3_K_S 8.5 IQ3_XS probably better
GGUF i1-IQ3_S 8.5 beats Q3_K*
GGUF i1-IQ3_M 8.6
GGUF i1-Q3_K_M 9.3 IQ3_S probably better
GGUF i1-Q3_K_L 10.1 IQ3_M probably better
GGUF i1-IQ4_XS 10.4
GGUF i1-Q4_0 11.0 fast, low quality
GGUF i1-Q4_K_S 11.0 optimal size/speed/quality
GGUF i1-Q4_K_M 11.7 fast, recommended
GGUF i1-Q4_1 12.1
GGUF i1-Q5_K_S 13.3
GGUF i1-Q5_K_M 13.6
GGUF i1-Q6_K 15.7 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 3 versions

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

  1. 2025-12-23auto-patch README.md926b0807.6 KB
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  2. 2025-08-27auto-patch README.mdd9276d57.6 KB
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  3. 2025-08-26uploaded from marcob507a3e505 B
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