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mradermacher/OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4-i1-GGUF

mradermacher Gpt-oss 20B GGUF second-order 131K ctx
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Response includes
  • classification m3
  • files 27
  • hub_downloads_all_time 57,957
  • author_summary 3324 models
  • readme_text full
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
Downloads · lifetime
58K
2K last 30d - cooling
Likes
1
Model age
8mo ago
created 2026-02-07

Training datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now58.3K→from0↑0%
021.4K42.8K64.1K0 on Feb 458.3K on Oct 11FebAprJunAugOct
Feb 4 → Oct 11 · 75 snapshots · spans 249 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 4 formats · 6K 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 finetune unsloth instruct heretic uncensored abliterated en dataset:TeichAI/mistral-small-creative-500x base_model:DavidAU/OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4 base_model:quantized:DavidAU/OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4

Related

Total size
296 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-02-16 09:09

Files by quantization

Q6_K 1 file 20.7 GB
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-Q6_K.gguf 20.7 GB 7e85f52d download
Q5_K 2 files 30.5 GB
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-Q5_K_M.gguf 15.7 GB 99c30808 download
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-Q5_K_S.gguf 14.8 GB 7a3cfa30 download
Q4_K 2 files 28.4 GB
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-Q4_K_M.gguf 14.7 GB ac515034 download
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-Q4_K_S.gguf 13.6 GB 4a72a662 download
Q4 2 files 23.8 GB
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-Q4_1.gguf 12.5 GB 95ae6507 download
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-Q4_0.gguf 11.3 GB 18441d6e download
Q3_K 3 files 35.7 GB
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-Q3_K_L.gguf 12.4 GB f6dd30af download
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-Q3_K_M.gguf 12.0 GB f348a92e download
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-Q3_K_S.gguf 11.2 GB 26943e85 download
IQ3 4 files 45.1 GB
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-IQ3_M.gguf 11.4 GB 61ff4b16 download
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-IQ3_S.gguf 11.2 GB 4efc0de5 download
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-IQ3_XS.gguf 11.2 GB d367fe1a download
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-IQ3_XXS.gguf 11.2 GB 9862b395 download
Q2_K 2 files 22.5 GB
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-Q2_K_S.gguf 11.3 GB cb3e646d download
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-Q2_K.gguf 11.2 GB a86cefb3 download
IQ4 1 file 11.3 GB
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-IQ4_XS.gguf 11.3 GB a96533df download
IQ2 4 files 44.9 GB
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-IQ2_M.gguf 11.2 GB d57bd3ac download
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-IQ2_S.gguf 11.2 GB e106f3e7 download
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-IQ2_XS.gguf 11.2 GB adf46e81 download
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-IQ2_XXS.gguf 11.2 GB c4043c04 download
IQ1 2 files 22.4 GB
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-IQ1_M.gguf 11.2 GB 2ed44143 download
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-IQ1_S.gguf 11.2 GB 352f67d4 download
Auxiliary files 4 files 11.3 GB
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.i1-MXFP4_MOE.gguf 11.3 GB 8806d220 download
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4.imatrix.gguf 26.8 MB 39791597 download
README.md 7.64 KB 9ed2b7f7 download
.gitattributes 4.01 KB 20bb18d2 download

README current version from Hugging Face


base_model: DavidAU/OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4
datasets:

  • TeichAI/mistral-small-creative-500x
    language:
  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • finetune
  • unsloth
  • instruct
  • heretic
  • uncensored
  • abliterated

About

weighted/imatrix quants of https://huggingface.co/DavidAU/OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4

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

static quants are available at https://huggingface.co/mradermacher/OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4-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_M 12.1 mostly desperate
GGUF i1-IQ1_S 12.1 for the desperate
GGUF i1-IQ2_XXS 12.1
GGUF i1-IQ2_XS 12.1
GGUF i1-Q3_K_S 12.2 IQ3_XS probably better
GGUF i1-IQ2_M 12.2
GGUF i1-IQ2_S 12.2
GGUF i1-IQ3_S 12.2 beats Q3_K*
GGUF i1-IQ3_XS 12.2
GGUF i1-IQ3_XXS 12.2 lower quality
GGUF i1-Q2_K 12.2 IQ3_XXS probably better
GGUF i1-IQ4_XS 12.2
GGUF i1-Q2_K_S 12.2 very low quality
GGUF i1-Q4_0 12.2 fast, low quality
GGUF i1-IQ3_M 12.3
GGUF i1-Q3_K_M 13.0 IQ3_S probably better
GGUF i1-Q3_K_L 13.4 IQ3_M probably better
GGUF i1-Q4_1 13.5
GGUF i1-Q4_K_S 14.8 optimal size/speed/quality
GGUF i1-Q4_K_M 15.9 fast, recommended
GGUF i1-Q5_K_S 16.0
GGUF i1-Q5_K_M 17.0
GGUF i1-Q6_K 22.3 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 11 versions

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

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  11. 2026-02-07uploaded from rich1e048863515 B
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