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mradermacher/Apertus-70B-Instruct-2509-abliterated-i1-GGUF

mradermacher 70B GGUF second-order 66K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FApertus-70B-Instruct-2509-abliterated-i1-GGUF"
Response includes
  • classification m8
  • files 28
  • hub_downloads_all_time 7,902
  • 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='nicoboss/Apertus-70B-Instruct-2509-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.

What is a refusal direction? →
Downloads · lifetime
8K
1K last 30d - stable
Likes
1
Model age
12mo ago
created 2025-10-04
Downloads over time
Now8.2K→from111↑7,249%
03K6K9K111 on Oct 1, 20258.2K on Oct 11Oct '25Dec '25FebAprJunAugOct
Oct 1, 2025 → Oct 11 · 93 snapshots · spans 375 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

Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K
Tags
transformers gguf en base_model:nicoboss/Apertus-70B-Instruct-2509-abliterated base_model:quantized:nicoboss/Apertus-70B-Instruct-2509-abliterated endpoints_compatible region:us imatrix conversational

Related

Total size
608 GB
Files
28
Quantizations
10
Registered
2026-08-22 13:56
Last updated on HF
2025-12-05 09:48

Files by quantization

Q5_K 1 file 45.3 GB
Apertus-70B-Instruct-2509-abliterated.i1-Q5_K_S.gguf 45.3 GB 6e94333a download
Q4 2 files 78.8 GB
Apertus-70B-Instruct-2509-abliterated.i1-Q4_1.gguf 41.3 GB 82b0045d download
Apertus-70B-Instruct-2509-abliterated.i1-Q4_0.gguf 37.5 GB 0f572fa3 download
Q4_K 2 files 78.4 GB
Apertus-70B-Instruct-2509-abliterated.i1-Q4_K_M.gguf 40.7 GB 6000ee28 download
Apertus-70B-Instruct-2509-abliterated.i1-Q4_K_S.gguf 37.7 GB 9b44ecec download
Q3_K 3 files 98.6 GB
Apertus-70B-Instruct-2509-abliterated.i1-Q3_K_L.gguf 36.9 GB 8c3f72a3 download
Apertus-70B-Instruct-2509-abliterated.i1-Q3_K_M.gguf 33.1 GB 6f39ea14 download
Apertus-70B-Instruct-2509-abliterated.i1-Q3_K_S.gguf 28.7 GB e4f6e99a download
IQ4 1 file 35.3 GB
Apertus-70B-Instruct-2509-abliterated.i1-IQ4_XS.gguf 35.3 GB 5c3d2e8f download
IQ3 4 files 112 GB
Apertus-70B-Instruct-2509-abliterated.i1-IQ3_M.gguf 29.8 GB 23b4b23b download
Apertus-70B-Instruct-2509-abliterated.i1-IQ3_S.gguf 28.7 GB 7ccd2176 download
Apertus-70B-Instruct-2509-abliterated.i1-IQ3_XS.gguf 27.6 GB cff7d33b download
Apertus-70B-Instruct-2509-abliterated.i1-IQ3_XXS.gguf 25.5 GB 975a3a34 download
Q2_K 2 files 48.4 GB
Apertus-70B-Instruct-2509-abliterated.i1-Q2_K.gguf 25.4 GB 0abbd1fd download
Apertus-70B-Instruct-2509-abliterated.i1-Q2_K_S.gguf 23.0 GB 246858a8 download
IQ2 4 files 81.1 GB
Apertus-70B-Instruct-2509-abliterated.i1-IQ2_M.gguf 22.6 GB f0fcb029 download
Apertus-70B-Instruct-2509-abliterated.i1-IQ2_S.gguf 20.9 GB ad8ee8eb download
Apertus-70B-Instruct-2509-abliterated.i1-IQ2_XS.gguf 19.8 GB d5b1d8ae download
Apertus-70B-Instruct-2509-abliterated.i1-IQ2_XXS.gguf 17.9 GB 69ae787f download
IQ1 2 files 30.2 GB
Apertus-70B-Instruct-2509-abliterated.i1-IQ1_M.gguf 15.7 GB 9d30b432 download
Apertus-70B-Instruct-2509-abliterated.i1-IQ1_S.gguf 14.5 GB 746cb561 download
Auxiliary files 7 files 101 GB
Apertus-70B-Instruct-2509-abliterated.imatrix.gguf 25.7 MB b2ba41fc download
Apertus-70B-Instruct-2509-abliterated.i1-Q6_K.gguf.part1of2 27.0 GB d7cb3b1c download
Apertus-70B-Instruct-2509-abliterated.i1-Q6_K.gguf.part2of2 26.9 GB eb084bac download
Apertus-70B-Instruct-2509-abliterated.i1-Q5_K_M.gguf.part1of2 24.0 GB 76e365de download
Apertus-70B-Instruct-2509-abliterated.i1-Q5_K_M.gguf.part2of2 23.1 GB ab92881c download
README.md 7.08 KB 8d56c86a download
.gitattributes 3.76 KB 73d8b070 download

README current version from Hugging Face


base_model: nicoboss/Apertus-70B-Instruct-2509-abliterated
language:

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

About

weighted/imatrix quants of https://huggingface.co/nicoboss/Apertus-70B-Instruct-2509-abliterated

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

static quants are available at https://huggingface.co/mradermacher/Apertus-70B-Instruct-2509-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 15.6 for the desperate
GGUF i1-IQ1_M 17.0 mostly desperate
GGUF i1-IQ2_XXS 19.3
GGUF i1-IQ2_XS 21.3
GGUF i1-IQ2_S 22.5
GGUF i1-IQ2_M 24.4
GGUF i1-Q2_K_S 24.8 very low quality
GGUF i1-Q2_K 27.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 27.5 lower quality
GGUF i1-IQ3_XS 29.7
GGUF i1-Q3_K_S 30.9 IQ3_XS probably better
GGUF i1-IQ3_S 31.0 beats Q3_K*
GGUF i1-IQ3_M 32.1
GGUF i1-Q3_K_M 35.6 IQ3_S probably better
GGUF i1-IQ4_XS 38.0
GGUF i1-Q3_K_L 39.7 IQ3_M probably better
GGUF i1-Q4_0 40.3 fast, low quality
GGUF i1-Q4_K_S 40.5 optimal size/speed/quality
GGUF i1-Q4_K_M 43.8 fast, recommended
GGUF i1-Q4_1 44.4
GGUF i1-Q5_K_S 48.8
PART 1 PART 2 i1-Q5_K_M 50.7
PART 1 PART 2 i1-Q6_K 58.0 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 9 versions

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

  1. 2025-12-05auto-patch README.md0aab4517.1 KB
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  2. 2025-10-04auto-patch README.md225008e7.1 KB
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  3. 2025-10-04auto-patch README.md09f88106.5 KB
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  4. 2025-10-04auto-patch README.mdeeb415f5.5 KB
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  5. 2025-10-04auto-patch README.mdec6b4fc5.1 KB
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  6. 2025-10-04auto-patch README.mdca9f3374.5 KB
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  7. 2025-10-04auto-patch README.mddd83e0b3.2 KB
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  8. 2025-10-04auto-patch README.mdd9c489a2.6 KB
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  9. 2025-10-04uploaded from nico136087e8492 B
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Discussions 1 thread

  1. 2025-10-06q5_k_s not ablitaratedopen3 💬#1
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