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mradermacher/DeepSeek-R1-Qwen3-8B-abliterated-i1-GGUF

mradermacher Deepseek 8B GGUF second-order 131K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 18,021
  • 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='shayanfirouzian/DeepSeek-R1-Qwen3-8B-abliterated' (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
18K
735 last 30d - cooling
Likes
0
Model age
14mo ago
created 2025-08-14
Downloads over time
Now18.2K→from6.1K↑196%
5.5K10.2K14.8K19.4K6.1K on Aug 13, 202518.2K on Oct 11Aug '25Oct '25Dec '25FebAprJunAugOct
Aug 13, 2025 → Oct 11 · 100 snapshots · spans 424 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 · 1K 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 en license:mit endpoints_compatible region:us imatrix conversational

Related

Total size
89.8 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-09 03:21

Files by quantization

Q6_K 1 file 6.26 GB
DeepSeek-R1-Qwen3-8B-abliterated.i1-Q6_K.gguf 6.26 GB 2775e126 download
Q5_K 2 files 10.8 GB
DeepSeek-R1-Qwen3-8B-abliterated.i1-Q5_K_M.gguf 5.45 GB d11bcbef download
DeepSeek-R1-Qwen3-8B-abliterated.i1-Q5_K_S.gguf 5.33 GB f6c9372c download
Q4 2 files 9.35 GB
DeepSeek-R1-Qwen3-8B-abliterated.i1-Q4_1.gguf 4.89 GB ac2599a6 download
DeepSeek-R1-Qwen3-8B-abliterated.i1-Q4_0.gguf 4.46 GB 38c1f379 download
Q4_K 2 files 9.15 GB
DeepSeek-R1-Qwen3-8B-abliterated.i1-Q4_K_M.gguf 4.68 GB 1faff6b1 download
DeepSeek-R1-Qwen3-8B-abliterated.i1-Q4_K_S.gguf 4.47 GB 7f4b4f78 download
IQ4 2 files 8.71 GB
DeepSeek-R1-Qwen3-8B-abliterated.i1-IQ4_NL.gguf 4.46 GB 41af13db download
DeepSeek-R1-Qwen3-8B-abliterated.i1-IQ4_XS.gguf 4.25 GB ae1c8a0b download
Q3_K 3 files 11.5 GB
DeepSeek-R1-Qwen3-8B-abliterated.i1-Q3_K_L.gguf 4.13 GB 20e9fa84 download
DeepSeek-R1-Qwen3-8B-abliterated.i1-Q3_K_M.gguf 3.84 GB 608fce21 download
DeepSeek-R1-Qwen3-8B-abliterated.i1-Q3_K_S.gguf 3.51 GB 3d510e0b download
IQ3 4 files 13.7 GB
DeepSeek-R1-Qwen3-8B-abliterated.i1-IQ3_M.gguf 3.63 GB 17327fe0 download
DeepSeek-R1-Qwen3-8B-abliterated.i1-IQ3_S.gguf 3.53 GB f788b63f download
DeepSeek-R1-Qwen3-8B-abliterated.i1-IQ3_XS.gguf 3.38 GB d1d75659 download
DeepSeek-R1-Qwen3-8B-abliterated.i1-IQ3_XXS.gguf 3.14 GB bdc74f7b download
Q2_K 2 files 5.93 GB
DeepSeek-R1-Qwen3-8B-abliterated.i1-Q2_K.gguf 3.06 GB 2a5cbdef download
DeepSeek-R1-Qwen3-8B-abliterated.i1-Q2_K_S.gguf 2.87 GB 5a99f2a3 download
IQ2 4 files 10.3 GB
DeepSeek-R1-Qwen3-8B-abliterated.i1-IQ2_M.gguf 2.84 GB 756fd904 download
DeepSeek-R1-Qwen3-8B-abliterated.i1-IQ2_S.gguf 2.67 GB d658f2b7 download
DeepSeek-R1-Qwen3-8B-abliterated.i1-IQ2_XS.gguf 2.51 GB f245adf2 download
DeepSeek-R1-Qwen3-8B-abliterated.i1-IQ2_XXS.gguf 2.32 GB d57c95e6 download
IQ1 2 files 4.07 GB
DeepSeek-R1-Qwen3-8B-abliterated.i1-IQ1_M.gguf 2.10 GB 6dbf8491 download
DeepSeek-R1-Qwen3-8B-abliterated.i1-IQ1_S.gguf 1.97 GB 261c95f3 download
Auxiliary files 3 files 5.11 MB
DeepSeek-R1-Qwen3-8B-abliterated.imatrix.gguf 5.10 MB 40293675 download
README.md 6.66 KB 461a2af0 download
.gitattributes 3.52 KB eb1e2f2a download

README current version from Hugging Face


base_model: shayanfirouzian/DeepSeek-R1-Qwen3-8B-abliterated
language:

  • en
    library_name: transformers
    license: mit
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co/shayanfirouzian/DeepSeek-R1-Qwen3-8B-abliterated

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-Qwen3-8B-abliterated-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 2.2 for the desperate
GGUF i1-IQ1_M 2.4 mostly desperate
GGUF i1-IQ2_XXS 2.6
GGUF i1-IQ2_XS 2.8
GGUF i1-IQ2_S 3.0
GGUF i1-IQ2_M 3.2
GGUF i1-Q2_K_S 3.2 very low quality
GGUF i1-Q2_K 3.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.5 lower quality
GGUF i1-IQ3_XS 3.7
GGUF i1-Q3_K_S 3.9 IQ3_XS probably better
GGUF i1-IQ3_S 3.9 beats Q3_K*
GGUF i1-IQ3_M 4.0
GGUF i1-Q3_K_M 4.2 IQ3_S probably better
GGUF i1-Q3_K_L 4.5 IQ3_M probably better
GGUF i1-IQ4_XS 4.7
GGUF i1-Q4_0 4.9 fast, low quality
GGUF i1-IQ4_NL 4.9 prefer IQ4_XS
GGUF i1-Q4_K_S 4.9 optimal size/speed/quality
GGUF i1-Q4_K_M 5.1 fast, recommended
GGUF i1-Q4_1 5.3
GGUF i1-Q5_K_S 5.8
GGUF i1-Q5_K_M 6.0
GGUF i1-Q6_K 6.8 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. 2025-12-09auto-patch README.md3df2a2a6.7 KB
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  2. 2025-08-14auto-patch README.md427ee7c6.7 KB
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  3. 2025-08-14uploaded from kaos238d4d4493 B
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