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

mradermacher/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B-i1-GGUF

mradermacher Mistral 12B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 27
  • benchmarks 11 entries
  • hub_downloads_all_time 17,882
  • author_summary 3324 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

No other method signals detected in this model.
Confidence
HIGH
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)
  • is_gguf=1
  • base_model='grimjim/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B' (source unknown method)
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
2K last 30d - cooling
Likes
3
Model age
11mo ago
created 2025-11-06
Downloads over time
Now18.2K→from1.8K↑888%
1K7.3K13.6K19.9K1.8K on Nov 5, 202518.2K on Oct 11Nov '25JanMarMayJulSep
Nov 5, 2025 → Oct 11 · 88 snapshots · spans 340 days

Benchmarks

Benchmark Score Source
Entertainment 1.8 UGI
Hazardous 2.9 UGI
Natural Intelligence 20.91 UGI
Political lean -18.8% UGI
Sensitive-Info 21.58 UGI
SocPol 1.9 UGI
UGI 29.39 UGI
Willingness (10) 4.5 UGI
W10-Adherence 4 UGI
W10-Direct 5 UGI
Writing 35.27 UGI

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
apache-2.0
Languages
en fr de es it pt ru zh ja
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf en fr de es it pt ru zh ja base_model:grimjim/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B

Related

Total size
132 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-10 10:15

Files by quantization

Q6_K 1 file 9.37 GB
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-Q6_K.gguf 9.37 GB 8305b63e download
Q5_K 2 files 16.1 GB
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-Q5_K_M.gguf 8.13 GB 8c7c1fce download
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-Q5_K_S.gguf 7.93 GB cda4b45f download
Q4 2 files 13.9 GB
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-Q4_1.gguf 7.26 GB cb311b67 download
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-Q4_0.gguf 6.61 GB f3c3f065 download
Q4_K 2 files 13.6 GB
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-Q4_K_M.gguf 6.96 GB c37b6d5e download
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-Q4_K_S.gguf 6.63 GB 63cd06c4 download
IQ4 2 files 12.9 GB
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-IQ4_NL.gguf 6.61 GB b6c70c8f download
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-IQ4_XS.gguf 6.28 GB cea9f653 download
Q3_K 3 files 16.9 GB
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-Q3_K_L.gguf 6.11 GB 4e00ad3b download
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-Q3_K_M.gguf 5.67 GB 710d3b17 download
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-Q3_K_S.gguf 5.15 GB 198342a5 download
IQ3 4 files 20.1 GB
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-IQ3_M.gguf 5.33 GB 7956f42e download
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-IQ3_S.gguf 5.18 GB db22bda5 download
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-IQ3_XS.gguf 4.94 GB 31741169 download
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-IQ3_XXS.gguf 4.61 GB 755fc6fb download
Q2_K 2 files 8.65 GB
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-Q2_K.gguf 4.46 GB b9837376 download
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-Q2_K_S.gguf 4.19 GB 93854682 download
IQ2 4 files 15.0 GB
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-IQ2_M.gguf 4.13 GB 11e5d792 download
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-IQ2_S.gguf 3.85 GB 376475f3 download
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-IQ2_XS.gguf 3.65 GB cc8b3951 download
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-IQ2_XXS.gguf 3.35 GB d7a187c8 download
IQ1 2 files 5.79 GB
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-IQ1_M.gguf 3.00 GB 31e5edad download
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.i1-IQ1_S.gguf 2.79 GB 4a430997 download
Auxiliary files 3 files 6.77 MB
mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B.imatrix.gguf 6.76 MB 852dfe50 download
README.md 8.48 KB 534ff111 download
.gitattributes 4.35 KB 23e46edf download

README current version from Hugging Face


base_model: grimjim/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B
language:

  • en
  • fr
  • de
  • es
  • it
  • pt
  • ru
  • zh
  • ja
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co/grimjim/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B

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

static quants are available at https://huggingface.co/mradermacher/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B-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 3.1 for the desperate
GGUF i1-IQ1_M 3.3 mostly desperate
GGUF i1-IQ2_XXS 3.7
GGUF i1-IQ2_XS 4.0
GGUF i1-IQ2_S 4.2
GGUF i1-IQ2_M 4.5
GGUF i1-Q2_K_S 4.6 very low quality
GGUF i1-Q2_K 4.9 IQ3_XXS probably better
GGUF i1-IQ3_XXS 5.0 lower quality
GGUF i1-IQ3_XS 5.4
GGUF i1-Q3_K_S 5.6 IQ3_XS probably better
GGUF i1-IQ3_S 5.7 beats Q3_K*
GGUF i1-IQ3_M 5.8
GGUF i1-Q3_K_M 6.2 IQ3_S probably better
GGUF i1-Q3_K_L 6.7 IQ3_M probably better
GGUF i1-IQ4_XS 6.8
GGUF i1-Q4_0 7.2 fast, low quality
GGUF i1-IQ4_NL 7.2 prefer IQ4_XS
GGUF i1-Q4_K_S 7.2 optimal size/speed/quality
GGUF i1-Q4_K_M 7.6 fast, recommended
GGUF i1-Q4_1 7.9
GGUF i1-Q5_K_S 8.6
GGUF i1-Q5_K_M 8.8
GGUF i1-Q6_K 10.2 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. 2025-12-10auto-patch README.md63196a28.5 KB
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  2. 2025-11-06auto-patch README.md6f38b1e8.5 KB
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  3. 2025-11-06auto-patch README.mda6787947.5 KB
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  4. 2025-11-06auto-patch README.mda74384a3.4 KB
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  5. 2025-11-06uploaded from marco99af3cb520 B
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