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mradermacher/DeepSeek-R1-Distill-Qwen-7B-Uncensored-i1-GGUF

mradermacher Qwen 7B GGUF second-order 131K ctx
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  • files 27
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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='nicoboss/DeepSeek-R1-Distill-Qwen-7B-Uncensored' (base has 'abliterated' marker, assume M1 default)
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Downloads · lifetime
439K
6K last 30d - cooling
Likes
94
Model age
20mo ago
created 2025-01-21

Training datasets

1 of 1 in /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
Now440.9K→from10.1K↑4,275%
0161.5K323K484.5K10.1K on Jan 22, 2025440.9K on Oct 11Jan '25Apr '25Jul '25Oct '25JanAprJulOct
Jan 22, 2025 → Oct 11 · 134 snapshots · spans 627 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 · 9K downloads combined

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

Metadata

License
mit
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf generated_from_trainer en dataset:Guilherme34/uncensor base_model:nicoboss/DeepSeek-R1-Distill-Qwen-7B-Uncensored base_model:quantized:nicoboss/DeepSeek-R1-Distill-Qwen-7B-Uncensored license:mit endpoints_compatible region:us imatrix conversational

Related

Total size
82.8 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-01-21 21:52

Files by quantization

Q6_K 1 file 5.82 GB
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-Q6_K.gguf 5.82 GB 099c33db download
Q5_K 2 files 10.0 GB
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-Q5_K_M.gguf 5.07 GB ff047ed9 download
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-Q5_K_S.gguf 4.95 GB ecf5fa32 download
Q4 2 files 8.67 GB
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-Q4_1.gguf 4.54 GB 495ace43 download
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-Q4_0.gguf 4.14 GB e5e86c78 download
Q4_K 2 files 8.51 GB
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-Q4_K_M.gguf 4.36 GB 46163e3b download
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-Q4_K_S.gguf 4.15 GB 1e469ade download
IQ4 2 files 8.06 GB
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-IQ4_NL.gguf 4.13 GB f5b55ef9 download
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-IQ4_XS.gguf 3.93 GB 6e327e1f download
Q3_K 3 files 10.6 GB
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-Q3_K_L.gguf 3.81 GB 8bffc632 download
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-Q3_K_M.gguf 3.55 GB 379bba99 download
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-Q3_K_S.gguf 3.25 GB daf52771 download
IQ3 4 files 12.6 GB
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-IQ3_M.gguf 3.33 GB 2e0117f7 download
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-IQ3_S.gguf 3.26 GB 5d9249c9 download
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-IQ3_XS.gguf 3.11 GB 702e6270 download
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-IQ3_XXS.gguf 2.90 GB 75fa0b4d download
Q2_K 2 files 5.45 GB
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-Q2_K.gguf 2.81 GB fbe94576 download
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-Q2_K_S.gguf 2.64 GB 39362f40 download
IQ2 4 files 9.42 GB
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-IQ2_M.gguf 2.59 GB 8e160b67 download
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-IQ2_S.gguf 2.42 GB 91af044c download
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-IQ2_XS.gguf 2.30 GB 6c65e533 download
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-IQ2_XXS.gguf 2.12 GB 4c104908 download
IQ1 2 files 3.67 GB
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-IQ1_M.gguf 1.90 GB 46cbee12 download
DeepSeek-R1-Distill-Qwen-7B-Uncensored.i1-IQ1_S.gguf 1.77 GB 8f64bcf2 download
Auxiliary files 3 files 4.34 MB
imatrix.dat 4.33 MB b4701ca4 download
README.md 6.39 KB b38316b0 download
.gitattributes 3.63 KB 5fcca433 download

README current version from Hugging Face


base_model: nicoboss/DeepSeek-R1-Distill-Qwen-7B-Uncensored
datasets:

  • Guilherme34/uncensor
    language:
  • en
    library_name: transformers
    license: mit
    quantized_by: mradermacher
    tags:
  • generated_from_trainer

About

weighted/imatrix quants of https://huggingface.co/nicoboss/DeepSeek-R1-Distill-Qwen-7B-Uncensored

static quants are available at https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-7B-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 2.0 for the desperate
GGUF i1-IQ1_M 2.1 mostly desperate
GGUF i1-IQ2_XXS 2.4
GGUF i1-IQ2_XS 2.6
GGUF i1-IQ2_S 2.7
GGUF i1-IQ2_M 2.9
GGUF i1-Q2_K_S 2.9 very low quality
GGUF i1-Q2_K 3.1 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.2 lower quality
GGUF i1-IQ3_XS 3.4
GGUF i1-Q3_K_S 3.6 IQ3_XS probably better
GGUF i1-IQ3_S 3.6 beats Q3_K*
GGUF i1-IQ3_M 3.7
GGUF i1-Q3_K_M 3.9 IQ3_S probably better
GGUF i1-Q3_K_L 4.2 IQ3_M probably better
GGUF i1-IQ4_XS 4.3
GGUF i1-IQ4_NL 4.5 prefer IQ4_XS
GGUF i1-Q4_0 4.5 fast, low quality
GGUF i1-Q4_K_S 4.6 optimal size/speed/quality
GGUF i1-Q4_K_M 4.8 fast, recommended
GGUF i1-Q4_1 5.0
GGUF i1-Q5_K_S 5.4
GGUF i1-Q5_K_M 5.5
GGUF i1-Q6_K 6.4 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 6 versions

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

  1. 2025-01-21auto-patch README.mdee50f246.4 KB
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  2. 2025-01-21auto-patch README.md0b57e154.2 KB
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  3. 2025-01-21auto-patch README.md78dbe074 KB
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  4. 2025-01-21auto-patch README.md70c01892.2 KB
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  5. 2025-01-21auto-patch README.md0d6b4222.1 KB
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  6. 2025-01-21uploaded from rich18332ac1255 B
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Discussions 1 thread

  1. 2025-02-06How uncensored is it on a scale of 1-10? Asking for a friend who is a truther.open3 💬#1
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