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mradermacher/granite-4.0-micro-heretic-uncensored-GGUF

mradermacher Granite GGUF second-order 131K ctx
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Response includes
  • classification m3
  • files 14
  • hub_downloads_all_time 2,229
  • 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
2K
302 last 30d - stable
Likes
1
Model age
10mo ago
created 2025-11-19
Downloads over time
Now2.3K→from392↑489%
2961K1.8K2.5K392 on Nov 19, 20252.3K on Oct 11Nov '25JanMarMayJulSep
Nov 19, 2025 → Oct 11 · 86 snapshots · spans 326 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 · 906 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
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf language granite-4.0 heretic uncensored decensored abliterated en base_model:Biogenic/granite-4.0-micro-heretic-uncensored base_model:quantized:Biogenic/granite-4.0-micro-heretic-uncensored license:apache-2.0

Related

Total size
28.5 GB
Files
14
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2025-11-19 11:07

Files by quantization

F16 1 file 6.34 GB
granite-4.0-micro-heretic-uncensored.f16.gguf 6.34 GB 2e41f36f download
Q8_0 1 file 3.37 GB
granite-4.0-micro-heretic-uncensored.Q8_0.gguf 3.37 GB 3c3ff63d download
Q6_K 1 file 2.60 GB
granite-4.0-micro-heretic-uncensored.Q6_K.gguf 2.60 GB 85a5c673 download
Q5_K 2 files 4.48 GB
granite-4.0-micro-heretic-uncensored.Q5_K_M.gguf 2.27 GB f888acb6 download
granite-4.0-micro-heretic-uncensored.Q5_K_S.gguf 2.21 GB 348d0de8 download
Q4_K 2 files 3.82 GB
granite-4.0-micro-heretic-uncensored.Q4_K_M.gguf 1.96 GB 306776e9 download
granite-4.0-micro-heretic-uncensored.Q4_K_S.gguf 1.86 GB 94c35bb4 download
IQ4 1 file 1.78 GB
granite-4.0-micro-heretic-uncensored.IQ4_XS.gguf 1.78 GB 93d9935f download
Q3_K 3 files 4.80 GB
granite-4.0-micro-heretic-uncensored.Q3_K_L.gguf 1.74 GB dd6497ed download
granite-4.0-micro-heretic-uncensored.Q3_K_M.gguf 1.61 GB 8f606dfd download
granite-4.0-micro-heretic-uncensored.Q3_K_S.gguf 1.46 GB 89c5125c download
Q2_K 1 file 1.28 GB
granite-4.0-micro-heretic-uncensored.Q2_K.gguf 1.28 GB 05c3083b download
Auxiliary files 2 files 6.53 KB
README.md 4.06 KB cddd0c7d download
.gitattributes 2.47 KB e0310b2c download

README current version from Hugging Face


base_model: Biogenic/granite-4.0-micro-heretic-uncensored
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • language
  • granite-4.0
  • heretic
  • uncensored
  • decensored
  • abliterated

About

static quants of https://huggingface.co/Biogenic/granite-4.0-micro-heretic-uncensored

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/granite-4.0-micro-heretic-uncensored-i1-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 Q2_K 1.5
GGUF Q3_K_S 1.7
GGUF Q3_K_M 1.8 lower quality
GGUF Q3_K_L 2.0
GGUF IQ4_XS 2.0
GGUF Q4_K_S 2.1 fast, recommended
GGUF Q4_K_M 2.2 fast, recommended
GGUF Q5_K_S 2.5
GGUF Q5_K_M 2.5
GGUF Q6_K 2.9 very good quality
GGUF Q8_0 3.7 fast, best quality
GGUF f16 6.9 16 bpw, overkill

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.

README history 2 versions

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

  1. 2025-11-19auto-patch README.mdef548b94.1 KB
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  2. 2025-11-19uploaded from rich15cdfda2388 B
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