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mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF

mradermacher Llama 8B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 51
  • hub_downloads_all_time 45,032
  • 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='stepenZEN/DeepSeek-R1-Distill-Llama-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
45K
4K last 30d - cooling
Likes
7
Model age
20mo ago
created 2025-01-21
Downloads over time
Now45.9K→from1.7K↑2,617%
016.8K33.5K50.3K1.7K on Jan 22, 202545.9K on Oct 11Jan '25Apr '25Jul '25Oct '25JanAprJulOct
Jan 22, 2025 → Oct 11 · 133 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 · 8K 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 en base_model:stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated base_model:quantized:stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated endpoints_compatible region:us imatrix conversational

Related

Total size
175 GB
Files
51
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-04-06 02:16

Files by quantization

Q6_K 2 files 12.3 GB
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q6_K.gguf 6.14 GB ca058828 download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q6_K.gguf 6.14 GB 56d5b736 download
Q5_K 4 files 21.1 GB
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q5_K_M.gguf 5.34 GB 86984f4c download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q5_K_M.gguf 5.34 GB 058db22e download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q5_K_S.gguf 5.21 GB 4d1c7558 download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q5_K_S.gguf 5.21 GB 67253ecb download
Q4 4 files 18.3 GB
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q4_1.gguf 4.78 GB 76052986 download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q4_1.gguf 4.78 GB 93105374 download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q4_0.gguf 4.35 GB e88cba86 download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q4_0.gguf 4.35 GB 02083357 download
Q4_K 4 files 17.9 GB
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q4_K_M.gguf 4.58 GB bbeec7a1 download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q4_K_M.gguf 4.58 GB f12ae7e2 download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q4_K_S.gguf 4.37 GB 43d54344 download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q4_K_S.gguf 4.37 GB 948e07f5 download
IQ4 4 files 17.0 GB
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ4_NL.gguf 4.36 GB 2118ec6b download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ4_NL.gguf 4.36 GB 5f377a36 download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ4_XS.gguf 4.14 GB 7af11255 download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ4_XS.gguf 4.14 GB dccccd31 download
Q3_K 6 files 22.4 GB
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q3_K_L.gguf 4.03 GB c54c134c download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q3_K_L.gguf 4.03 GB 57a42d3d download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q3_K_M.gguf 3.74 GB d78362ca download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q3_K_M.gguf 3.74 GB 02816058 download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q3_K_S.gguf 3.41 GB 5f9fe693 download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q3_K_S.gguf 3.41 GB 4788a8f0 download
IQ3 8 files 26.6 GB
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ3_M.gguf 3.52 GB a8bffc4b download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ3_M.gguf 3.52 GB 95680f58 download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ3_S.gguf 3.43 GB 1073eb5d download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ3_S.gguf 3.43 GB 80b26148 download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ3_XS.gguf 3.28 GB 514d41cf download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ3_XS.gguf 3.28 GB e7700344 download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ3_XXS.gguf 3.05 GB 20c76d33 download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ3_XXS.gguf 3.05 GB 1385ef53 download
Q2_K 4 files 11.5 GB
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q2_K.gguf 2.96 GB 48d1822f download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q2_K.gguf 2.96 GB dccff76e download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q2_K_S.gguf 2.78 GB 37d07fad download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q2_K_S.gguf 2.78 GB e95dfce7 download
IQ2 8 files 20.0 GB
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ2_M.gguf 2.75 GB 964a80d1 download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ2_M.gguf 2.75 GB 2ae5f4b4 download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ2_S.gguf 2.57 GB 9cac7bf9 download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ2_S.gguf 2.57 GB ece5aa4f download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ2_XS.gguf 2.43 GB a4c01532 download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ2_XS.gguf 2.43 GB 16cba0fa download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ2_XXS.gguf 2.23 GB 762366a5 download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ2_XXS.gguf 2.23 GB 1d3391d9 download
IQ1 4 files 7.79 GB
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ1_M.gguf 2.01 GB 2c02bd75 download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ1_M.gguf 2.01 GB 78e96ee6 download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ1_S.gguf 1.88 GB 91145550 download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ1_S.gguf 1.88 GB 7960e909 download
Auxiliary files 3 files 4.77 MB
imatrix.dat 4.76 MB 12deeadd download
README.md 10.3 KB 2637819c download
.gitattributes 3.67 KB d60f6f91 download

README current version from Hugging Face


base_model: stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated
language:

  • en
    library_name: transformers
    quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co/stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated

static quants are available at https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-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
PART 1 PART 2 i1-IQ1_S 4.1 for the desperate
PART 1 PART 2 i1-IQ1_M 4.4 mostly desperate
PART 1 PART 2 i1-IQ2_XXS 4.9
PART 1 PART 2 i1-IQ2_XS 5.3
PART 1 PART 2 i1-IQ2_S 5.6
PART 1 PART 2 i1-IQ2_M 6.0
PART 1 PART 2 i1-Q2_K_S 6.1 very low quality
PART 1 PART 2 i1-Q2_K 6.5 IQ3_XXS probably better
PART 1 PART 2 i1-IQ3_XXS 6.6 lower quality
PART 1 PART 2 i1-IQ3_XS 7.1
PART 1 PART 2 i1-Q3_K_S 7.4 IQ3_XS probably better
PART 1 PART 2 i1-IQ3_S 7.5 beats Q3_K*
PART 1 PART 2 i1-IQ3_M 7.7
PART 1 PART 2 i1-Q3_K_M 8.1 IQ3_S probably better
PART 1 PART 2 i1-Q3_K_L 8.7 IQ3_M probably better
PART 1 PART 2 i1-IQ4_XS 9.0
PART 1 PART 2 i1-Q4_0 9.5 fast, low quality
PART 1 PART 2 i1-IQ4_NL 9.5 prefer IQ4_XS
PART 1 PART 2 i1-Q4_K_S 9.5 optimal size/speed/quality
PART 1 PART 2 i1-Q4_K_M 9.9 fast, recommended
PART 1 PART 2 i1-Q4_1 10.4
PART 1 PART 2 i1-Q5_K_S 11.3
PART 1 PART 2 i1-Q5_K_M 11.6
PART 1 PART 2 i1-Q6_K 13.3 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 5 versions

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

  1. 2025-04-06auto-patch README.md5e269c310.3 KB
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  2. 2025-04-04auto-patch README.md4738fab10.3 KB
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  3. 2025-01-24auto-patch README.md6e74b8b6.4 KB
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  4. 2025-01-22auto-patch README.md34121195.3 KB
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  5. 2025-01-21uploaded from leia4d48a2c258 B
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