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Markobes/gemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Thinking-Instruct-Heretic-Uncensored-Q8_0-GGUF

Markobes Gemma 12B GGUF multimodal second-order 131K ctx
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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
181 last 30d - stable
Likes
1
Model age
8mo ago
created 2026-02-06

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
Now1.7K→from199↑779%
1227161.3K1.9K199 on Feb 41.7K on Oct 11FebAprJunAugOct
Feb 4 → Oct 11 · 75 snapshots · spans 249 days

Benchmarks

Benchmark Score Source
Entertainment 0.8 UGI
Hazardous 1.8 UGI
Natural Intelligence 18.6 UGI
Political lean -19.8% UGI
Sensitive-Info 9.98 UGI
SocPol 0.7 UGI
UGI 19.15 UGI
Willingness (10) 3.8 UGI
W10-Adherence 2.5 UGI
W10-Direct 5 UGI
Writing 29.7 UGI

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Languages
en
Tags
transformers gguf uncensored heretic abliterated unsloth finetune All use cases bfloat16 creative creative writing fiction writing

Related

Total size
11.7 GB
Files
3
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-02-06 12:06

Files by quantization

Auxiliary files 3 files 11.7 GB
gemma-3-12b-it-vl-polaris-glm-4.7-flash-var-thinking-instruct-heretic-uncensored-q8_0.gguf 11.7 GB bf2b755c download
README.md 2.97 KB 85cab8e4 download
.gitattributes 1.61 KB 67f1cb76 download

README current version from Hugging Face


license: apache-2.0
datasets:

  • TeichAI/glm-4.7-2000x
  • TeichAI/polaris-alpha-1000x
    language:
  • en
    base_model: DavidAU/gemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Thinking-Instruct-Heretic-Uncensored
    pipeline_tag: image-text-to-text
    library_name: transformers
    tags:
  • uncensored
  • heretic
  • abliterated
  • unsloth
  • finetune
  • All use cases
  • bfloat16
  • creative
  • creative writing
  • fiction writing
  • plot generation
  • sub-plot generation
  • story generation
  • scene continue
  • storytelling
  • fiction story
  • science fiction
  • romance
  • all genres
  • story
  • writing
  • vivid prosing
  • vivid writing
  • fiction
  • llama-cpp
  • gguf-my-repo

Markobes/gemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Thinking-Instruct-Heretic-Uncensored-Q8_0-GGUF

This model was converted to GGUF format from DavidAU/gemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Thinking-Instruct-Heretic-Uncensored using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo Markobes/gemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Thinking-Instruct-Heretic-Uncensored-Q8_0-GGUF --hf-file gemma-3-12b-it-vl-polaris-glm-4.7-flash-var-thinking-instruct-heretic-uncensored-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Markobes/gemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Thinking-Instruct-Heretic-Uncensored-Q8_0-GGUF --hf-file gemma-3-12b-it-vl-polaris-glm-4.7-flash-var-thinking-instruct-heretic-uncensored-q8_0.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo Markobes/gemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Thinking-Instruct-Heretic-Uncensored-Q8_0-GGUF --hf-file gemma-3-12b-it-vl-polaris-glm-4.7-flash-var-thinking-instruct-heretic-uncensored-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Markobes/gemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Thinking-Instruct-Heretic-Uncensored-Q8_0-GGUF --hf-file gemma-3-12b-it-vl-polaris-glm-4.7-flash-var-thinking-instruct-heretic-uncensored-q8_0.gguf -c 2048

README history 1 version

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

  1. 2026-02-06Upload README.md with huggingface_hubf1113d03 KB
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