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

mradermacher/Mistral-7B-Instruct-v0.2-abliterated-obliteratus-i1-GGUF

mradermacher Mistral 7B GGUF second-order 33K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 6,270
  • 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/Mistral-7B-Instruct-v0.2-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
6K
862 last 30d - stable
Likes
1
Model age
6mo ago
created 2026-03-28
Downloads over time
Now6.6K→from1.4K↑367%
1.1K3.1K5.1K7.1K1.4K on Apr 16.6K 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 · 1K 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
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/Mistral-7B-Instruct-v0.2-abliterated-obliteratus base_model:quantized:richardyoung/Mistral-7B-Instruct-v0.2-abliterated-obliteratus license:apache-2.0 endpoints_compatible

Related

Total size
76.1 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-03-28 22:00

Files by quantization

Q6_K 1 file 5.53 GB
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-Q6_K.gguf 5.53 GB 00ee2ade download
Q5_K 2 files 9.43 GB
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-Q5_K_M.gguf 4.78 GB cfd384f0 download
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-Q5_K_S.gguf 4.65 GB d9fee00b download
Q4 2 files 8.08 GB
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-Q4_1.gguf 4.24 GB 3e30be16 download
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-Q4_0.gguf 3.84 GB 19f0a0aa download
Q4_K 2 files 7.92 GB
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-Q4_K_M.gguf 4.07 GB 05d4d59b download
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-Q4_K_S.gguf 3.86 GB e1c5e9ed download
IQ4 2 files 7.48 GB
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-IQ4_NL.gguf 3.84 GB 658a61ed download
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-IQ4_XS.gguf 3.64 GB b80d4916 download
Q3_K 3 files 9.78 GB
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-Q3_K_L.gguf 3.56 GB 745e8e8e download
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-Q3_K_M.gguf 3.28 GB a7b564b1 download
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-Q3_K_S.gguf 2.95 GB fb7d52bc download
IQ3 4 files 11.5 GB
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-IQ3_M.gguf 3.06 GB 99204d07 download
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-IQ3_S.gguf 2.96 GB 058a1f8d download
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-IQ3_XS.gguf 2.81 GB 7b9e88eb download
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-IQ3_XXS.gguf 2.63 GB 2b7044e8 download
Q2_K 2 files 4.89 GB
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-Q2_K.gguf 2.53 GB 4ac7a345 download
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-Q2_K_S.gguf 2.36 GB 7607ad9c download
IQ2 4 files 8.38 GB
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-IQ2_M.gguf 2.33 GB d5715190 download
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-IQ2_S.gguf 2.15 GB 4a10d54f download
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-IQ2_XS.gguf 2.05 GB 712e6d30 download
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-IQ2_XXS.gguf 1.85 GB bf2d21b7 download
IQ1 2 files 3.14 GB
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-IQ1_M.gguf 1.63 GB d535c704 download
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.i1-IQ1_S.gguf 1.50 GB 29384956 download
Auxiliary files 3 files 4.79 MB
Mistral-7B-Instruct-v0.2-abliterated-obliteratus.imatrix.gguf 4.78 MB a8458099 download
README.md 7.60 KB 5f7d871b download
.gitattributes 3.91 KB b512ceee download

README current version from Hugging Face


base_model: richardyoung/Mistral-7B-Instruct-v0.2-abliterated-obliteratus
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliteration
  • uncensored
  • OBLITERATUS
  • representation-engineering
  • refusal-removal

About

weighted/imatrix quants of https://huggingface.co/richardyoung/Mistral-7B-Instruct-v0.2-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/Mistral-7B-Instruct-v0.2-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 1.7 for the desperate
GGUF i1-IQ1_M 1.9 mostly desperate
GGUF i1-IQ2_XXS 2.1
GGUF i1-IQ2_XS 2.3
GGUF i1-IQ2_S 2.4
GGUF i1-IQ2_M 2.6
GGUF i1-Q2_K_S 2.6 very low quality
GGUF i1-Q2_K 2.8 IQ3_XXS probably better
GGUF i1-IQ3_XXS 2.9 lower quality
GGUF i1-IQ3_XS 3.1
GGUF i1-Q3_K_S 3.3 IQ3_XS probably better
GGUF i1-IQ3_S 3.3 beats Q3_K*
GGUF i1-IQ3_M 3.4
GGUF i1-Q3_K_M 3.6 IQ3_S probably better
GGUF i1-Q3_K_L 3.9 IQ3_M probably better
GGUF i1-IQ4_XS 4.0
GGUF i1-Q4_0 4.2 fast, low quality
GGUF i1-IQ4_NL 4.2 prefer IQ4_XS
GGUF i1-Q4_K_S 4.2 optimal size/speed/quality
GGUF i1-Q4_K_M 4.5 fast, recommended
GGUF i1-Q4_1 4.7
GGUF i1-Q5_K_S 5.1
GGUF i1-Q5_K_M 5.2
GGUF i1-Q6_K 6.0 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 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.mdfd881187.6 KB
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  2. 2026-03-28auto-patch README.md13825d77.4 KB
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  3. 2026-03-28auto-patch README.md193c55e2.6 KB
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  4. 2026-03-28uploaded from rich19c40948507 B
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