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

mradermacher/DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored-i1-GGUF

mradermacher Qwen 14B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 7,399
  • author_summary 3328 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='braindao/DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored' (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
7K
594 last 30d - cooling
Likes
1
Model age
19mo ago
created 2025-03-14
Downloads over time
Now7.6K→from801↑847%
4623.1K5.7K8.3K801 on Mar 12, 20257.6K on Oct 12Mar '25Jun '25Sep '25Dec '25MarJunSep
Mar 12, 2025 → Oct 12 · 123 snapshots · spans 579 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 · 837 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 unsloth qwen2 trl en base_model:braindao/DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored base_model:quantized:braindao/DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored license:apache-2.0 endpoints_compatible region:us

Related

Total size
159 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-07-11 09:38

Files by quantization

Q6_K 1 file 11.3 GB
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-Q6_K.gguf 11.3 GB c1c085c3 download
Q5_K 2 files 19.3 GB
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-Q5_K_M.gguf 9.79 GB 7b55fef7 download
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-Q5_K_S.gguf 9.56 GB 46a9ab02 download
Q4 2 files 16.7 GB
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-Q4_1.gguf 8.75 GB f038a6ca download
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-Q4_0.gguf 7.96 GB 1d786fac download
Q4_K 2 files 16.4 GB
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-Q4_K_M.gguf 8.37 GB b0c90dae download
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-Q4_K_S.gguf 7.98 GB 7c80e222 download
IQ4 2 files 15.5 GB
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-IQ4_NL.gguf 7.96 GB 5475bde5 download
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-IQ4_XS.gguf 7.56 GB 7c04eb44 download
Q3_K 3 files 20.4 GB
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-Q3_K_L.gguf 7.38 GB 1e52f82e download
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-Q3_K_M.gguf 6.84 GB a3c26a44 download
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-Q3_K_S.gguf 6.20 GB 3c330eca download
IQ3 4 files 24.2 GB
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-IQ3_M.gguf 6.44 GB 9ccf02f7 download
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-IQ3_S.gguf 6.23 GB 44b0f0f8 download
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-IQ3_XS.gguf 5.94 GB efff6a01 download
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-IQ3_XXS.gguf 5.54 GB 6af63807 download
Q2_K 2 files 10.4 GB
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-Q2_K.gguf 5.37 GB 27d3b5d6 download
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-Q2_K_S.gguf 5.03 GB 3f4ed082 download
IQ2 4 files 18.0 GB
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-IQ2_M.gguf 4.99 GB 1baf4c65 download
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-IQ2_S.gguf 4.66 GB 84cd8cfd download
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-IQ2_XS.gguf 4.38 GB ec0262f0 download
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-IQ2_XXS.gguf 4.02 GB d7e84ce2 download
IQ1 2 files 6.97 GB
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-IQ1_M.gguf 3.61 GB aea12142 download
DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored.i1-IQ1_S.gguf 3.36 GB aba24c75 download
Auxiliary files 3 files 8.18 MB
imatrix.dat 8.17 MB 580a9b1d download
README.md 6.90 KB 5f7ac598 download
.gitattributes 3.77 KB a4e84134 download

README current version from Hugging Face


base_model: braindao/DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • text-generation-inference
  • transformers
  • unsloth
  • qwen2
  • trl

About

weighted/imatrix quants of https://huggingface.co/braindao/DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored

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

static quants are available at https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-14B-ORPO-Uncensored-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 i1-IQ1_S 3.7 for the desperate
GGUF i1-IQ1_M 4.0 mostly desperate
GGUF i1-IQ2_XXS 4.4
GGUF i1-IQ2_XS 4.8
GGUF i1-IQ2_S 5.1
GGUF i1-IQ2_M 5.5
GGUF i1-Q2_K_S 5.5 very low quality
GGUF i1-Q2_K 5.9 IQ3_XXS probably better
GGUF i1-IQ3_XXS 6.0 lower quality
GGUF i1-IQ3_XS 6.5
GGUF i1-Q3_K_S 6.8 IQ3_XS probably better
GGUF i1-IQ3_S 6.8 beats Q3_K*
GGUF i1-IQ3_M 7.0
GGUF i1-Q3_K_M 7.4 IQ3_S probably better
GGUF i1-Q3_K_L 8.0 IQ3_M probably better
GGUF i1-IQ4_XS 8.2
GGUF i1-Q4_0 8.6 fast, low quality
GGUF i1-IQ4_NL 8.6 prefer IQ4_XS
GGUF i1-Q4_K_S 8.7 optimal size/speed/quality
GGUF i1-Q4_K_M 9.1 fast, recommended
GGUF i1-Q4_1 9.5
GGUF i1-Q5_K_S 10.4
GGUF i1-Q5_K_M 10.6
GGUF i1-Q6_K 12.2 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 4 versions

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

  1. 2025-07-11auto-patch README.mdda22e0b6.9 KB
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  2. 2025-07-10auto-patch README.md4a2ccb36.8 KB
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  3. 2025-03-15auto-patch README.md5a67d406.7 KB
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  4. 2025-03-14uploaded from leiadd3a631261 B
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