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

mradermacher GGUF MoE multimodal second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
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Response includes
  • classification m3
  • files 13
  • author_summary 3392 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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Metadata

License
apache-2.0
Languages
en
Quantizations
IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf heretic abliterated uncensored moe vlm vision agentic code tool-use conversational

Related

Total size
221 GB
Files
13
Quantizations
8
Registered
2026-10-23 09:00
Last updated on HF
2026-10-23 09:05

Files by quantization

Q8_0 1 file 34.4 GB
Sage-A1.5-Heretic-Abliterated-Uncensored.Q8_0.gguf 34.4 GB 3b10d8c5 download
Q6_K 1 file 26.6 GB
Sage-A1.5-Heretic-Abliterated-Uncensored.Q6_K.gguf 26.6 GB 73f33dc4 download
Q5_K 2 files 45.4 GB
Sage-A1.5-Heretic-Abliterated-Uncensored.Q5_K_M.gguf 23.0 GB 1be3a455 download
Sage-A1.5-Heretic-Abliterated-Uncensored.Q5_K_S.gguf 22.3 GB a599b512 download
Q4_K 2 files 38.2 GB
Sage-A1.5-Heretic-Abliterated-Uncensored.Q4_K_M.gguf 19.7 GB ea0f1d4e download
Sage-A1.5-Heretic-Abliterated-Uncensored.Q4_K_S.gguf 18.5 GB c313aba1 download
IQ4 1 file 17.6 GB
Sage-A1.5-Heretic-Abliterated-Uncensored.IQ4_XS.gguf 17.6 GB ea769964 download
Q3_K 3 files 46.6 GB
Sage-A1.5-Heretic-Abliterated-Uncensored.Q3_K_L.gguf 16.9 GB 386b26c6 download
Sage-A1.5-Heretic-Abliterated-Uncensored.Q3_K_M.gguf 15.6 GB ff9598fd download
Sage-A1.5-Heretic-Abliterated-Uncensored.Q3_K_S.gguf 14.1 GB 4bdaff2d download
Q2_K 1 file 12.1 GB
Sage-A1.5-Heretic-Abliterated-Uncensored.Q2_K.gguf 12.1 GB 7527cb08 download
Auxiliary files 2 files 6.67 KB
README.md 4.24 KB 18d897ce download
.gitattributes 2.43 KB 2b2496fa 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

static 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.

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 Q2_K 13.0
GGUF Q3_K_S 15.3
GGUF Q3_K_M 16.9 lower quality
GGUF Q3_K_L 18.2
GGUF Q4_K_S 20.0 fast, recommended
GGUF Q4_K_M 21.3 fast, recommended
GGUF Q5_K_S 24.1
GGUF Q5_K_M 24.8
GGUF Q6_K 28.6 very good quality
GGUF Q8_0 37.0 fast, best quality

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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