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OliviaRossi/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored-Q2_K-GGUF

OliviaRossi Gemma 19B GGUF MoE multimodal second-order
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  • classification m3
  • files 3
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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
61
Likes
0
Model age
5mo ago
created 2026-05-02
Downloads over time
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Metadata

License
apache-2.0
Languages
en
Tags
transformers gguf heretic finetune abliterated uncensored moe mixture of experts unsloth pruned experts 90 all use cases coder

Related

Total size
7.28 GB
Files
3
Quantizations
1
Registered
2026-08-22 13:56

Files by quantization

Auxiliary files 3 files 7.28 GB
gemma-4-19b-a4b-it-instruct-heretic-uncensored-q2_k.gguf 7.28 GB dd2957ea download
README.md 2.55 KB 548c67a4 download
.gitattributes 1.57 KB 542231e1 download

README current version from Hugging Face


license: apache-2.0
language:

  • en
    pipeline_tag: image-text-to-text
    library_name: transformers
    base_model: DavidAU/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored
    tags:
  • heretic
  • finetune
  • abliterated
  • uncensored
  • moe
  • mixture of experts
  • unsloth
  • pruned experts 90
  • all use cases
  • coder
  • 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
  • roleplaying
  • bfloat16
  • llama-cpp
  • gguf-my-repo

OliviaRossi/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored-Q2_K-GGUF

This model was converted to GGUF format from DavidAU/gemma-4-19B-A4B-it-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 OliviaRossi/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored-Q2_K-GGUF --hf-file gemma-4-19b-a4b-it-instruct-heretic-uncensored-q2_k.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo OliviaRossi/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored-Q2_K-GGUF --hf-file gemma-4-19b-a4b-it-instruct-heretic-uncensored-q2_k.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 OliviaRossi/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored-Q2_K-GGUF --hf-file gemma-4-19b-a4b-it-instruct-heretic-uncensored-q2_k.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo OliviaRossi/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored-Q2_K-GGUF --hf-file gemma-4-19b-a4b-it-instruct-heretic-uncensored-q2_k.gguf -c 2048
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