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mradermacher/Sage-A1.5-Heretic-Abliterated-Uncensored-i1-GGUF

mradermacher GGUF MoE multimodal second-order
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Response includes
  • classification m3
  • files 16
  • author_summary 3394 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 · 30-day
0
Likes
0
Model age
today
created 2026-10-23

Genealogy 0 direct forks

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Variants by this author 2 formats · 0 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_K Q6_K
Tags
transformers gguf heretic abliterated uncensored moe vlm vision agentic code tool-use conversational

Related

Total size
190 GB
Files
16
Quantizations
9
Registered
2026-10-23 13:00
Last updated on HF
2026-10-23 14:00

Files by quantization

Q6_K 1 file 26.6 GB
Sage-A1.5-Heretic-Abliterated-Uncensored.i1-Q6_K.gguf 26.6 GB fae83ef6 download
Q4_K 2 files 38.2 GB
Sage-A1.5-Heretic-Abliterated-Uncensored.i1-Q4_K_M.gguf 19.7 GB 3b78ca0a download
Sage-A1.5-Heretic-Abliterated-Uncensored.i1-Q4_K_S.gguf 18.5 GB f0456f01 download
IQ4 1 file 17.4 GB
Sage-A1.5-Heretic-Abliterated-Uncensored.i1-IQ4_XS.gguf 17.4 GB 7ce657c2 download
Q3_K 2 files 29.8 GB
Sage-A1.5-Heretic-Abliterated-Uncensored.i1-Q3_K_M.gguf 15.6 GB 25b3f2b2 download
Sage-A1.5-Heretic-Abliterated-Uncensored.i1-Q3_K_S.gguf 14.1 GB e2238446 download
IQ3 2 files 27.1 GB
Sage-A1.5-Heretic-Abliterated-Uncensored.i1-IQ3_M.gguf 14.4 GB f7c2899f download
Sage-A1.5-Heretic-Abliterated-Uncensored.i1-IQ3_XXS.gguf 12.7 GB f2176dd0 download
Q2_K 2 files 23.4 GB
Sage-A1.5-Heretic-Abliterated-Uncensored.i1-Q2_K.gguf 12.1 GB 7ccf8b1d download
Sage-A1.5-Heretic-Abliterated-Uncensored.i1-Q2_K_S.gguf 11.3 GB 0642e390 download
IQ2 2 files 19.7 GB
Sage-A1.5-Heretic-Abliterated-Uncensored.i1-IQ2_M.gguf 10.9 GB 6143d003 download
Sage-A1.5-Heretic-Abliterated-Uncensored.i1-IQ2_XXS.gguf 8.85 GB ccf266ba download
IQ1 1 file 7.67 GB
Sage-A1.5-Heretic-Abliterated-Uncensored.i1-IQ1_M.gguf 7.67 GB 10fc8610 download
Auxiliary files 3 files 367 MB
Sage-A1.5-Heretic-Abliterated-Uncensored.imatrix.gguf 367 MB b6075073 download
README.md 3.18 KB e65285f9 download
.gitattributes 2.73 KB 7b50a851 download

README current version from Hugging Face


base_model: sam33339999/Sage-A1.5-Heretic-Abliterated-Uncensored
language:

  • en
    library_name: transformers
    license: apache-2.0
    license_link: https://huggingface.co/InternScience/Sage-A1.5
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • heretic
  • abliterated
  • uncensored
  • moe
  • vlm
  • vision
  • agentic
  • code
  • tool-use
  • conversational

About

weighted/imatrix quants of https://huggingface.co/sam33339999/Sage-A1.5-Heretic-Abliterated-Uncensored

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

static quants are available at https://huggingface.co/mradermacher/Sage-A1.5-Heretic-Abliterated-Uncensored-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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 0.5 imatrix file (for creating your own quants)
GGUF i1-Q2_K 13.0 IQ3_XXS probably better
GGUF i1-IQ3_M 15.5

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.

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