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

mradermacher/DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus-i1-GGUF

mradermacher Qwen 7B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 24,461
  • 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='richardyoung/DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus' (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
24K
2K last 30d - cooling
Likes
3
Model age
6mo ago
created 2026-03-28
Downloads over time
Now25.1K→from12.8K↑97%
12.1K16.9K21.6K26.3K12.8K on Apr 125.1K on Oct 11AprMayJunJulAugSepOct
Apr 1 → Oct 11 · 67 snapshots · spans 193 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 · 2K 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 abliteration uncensored OBLITERATUS representation-engineering refusal-removal en base_model:richardyoung/DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus base_model:quantized:richardyoung/DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus license:mit endpoints_compatible

Related

Total size
82.9 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-03-28 22:55

Files by quantization

Q6_K 1 file 5.82 GB
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-Q6_K.gguf 5.82 GB e76dbbf1 download
Q5_K 2 files 10.0 GB
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-Q5_K_M.gguf 5.07 GB 675ef924 download
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-Q5_K_S.gguf 4.95 GB 2c9bb84b download
Q4 2 files 8.68 GB
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-Q4_1.gguf 4.54 GB 52b5610c download
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-Q4_0.gguf 4.14 GB 611d5120 download
Q4_K 2 files 8.51 GB
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-Q4_K_M.gguf 4.36 GB fefca3d8 download
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-Q4_K_S.gguf 4.15 GB ebd1693c download
IQ4 2 files 8.06 GB
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-IQ4_NL.gguf 4.13 GB 5f9110a0 download
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-IQ4_XS.gguf 3.93 GB b1e2efec download
Q3_K 3 files 10.6 GB
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-Q3_K_L.gguf 3.81 GB 56cbde21 download
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-Q3_K_M.gguf 3.55 GB 0851bda1 download
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-Q3_K_S.gguf 3.25 GB 8b98d57e download
IQ3 4 files 12.6 GB
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-IQ3_M.gguf 3.33 GB ad84e8eb download
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-IQ3_S.gguf 3.26 GB 84fab20c download
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-IQ3_XS.gguf 3.12 GB 4f460cee download
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-IQ3_XXS.gguf 2.90 GB ebac9adb download
Q2_K 2 files 5.45 GB
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-Q2_K.gguf 2.81 GB b721fc40 download
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-Q2_K_S.gguf 2.64 GB c1c32eb8 download
IQ2 4 files 9.42 GB
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-IQ2_M.gguf 2.59 GB e0fb0816 download
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-IQ2_S.gguf 2.42 GB 7850dded download
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-IQ2_XS.gguf 2.30 GB ce7fa251 download
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-IQ2_XXS.gguf 2.12 GB d4bb430c download
IQ1 2 files 3.67 GB
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-IQ1_M.gguf 1.90 GB 1319cad2 download
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.i1-IQ1_S.gguf 1.77 GB 3b9d7d6f download
Auxiliary files 3 files 4.36 MB
DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus.imatrix.gguf 4.35 MB 3c01fe39 download
README.md 7.75 KB 89f4c8ec download
.gitattributes 3.98 KB 1db89afc download

README current version from Hugging Face


base_model: richardyoung/DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus
language:

  • en
    library_name: transformers
    license: mit
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliteration
  • uncensored
  • OBLITERATUS
  • representation-engineering
  • refusal-removal

About

weighted/imatrix quants of https://huggingface.co/richardyoung/DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus

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-7B-abliterated-obliteratus-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 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 4 versions

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

  1. 2026-03-28auto-patch README.md374fa047.7 KB
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  2. 2026-03-28auto-patch README.md14d0a0b6.9 KB
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  3. 2026-03-28auto-patch README.md94e86474.6 KB
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  4. 2026-03-28uploaded from rich1c8ec17e510 B
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