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pervseal/gemma-3-12b-it-abliterated-refined-novis-Q4_K_M-GGUF overview

pervseal/gemma 3 12b it abliterated refined novis Q4 K M GGUF This model was converted to GGUF format from Nabbers1999/gemma 3 12b it abliterated refined novis…

transformersggufgemmagemma-3text-generationconversationalabliteratedllama-cppgguf-my-repoenbase_model:Nabbers1999/gemma-3-12b-it-abliterated-refined-novisbase_model:quantized:Nabbers1999/gemma-3-12b-it-abliterated-refined-novislicense:gemmaendpoints_compatibleregion:us

Runs locally from ~6.80 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).

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text-generation
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1 GGUF files detected
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Model Details

Model IDpervseal/gemma-3-12b-it-abliterated-refined-novis-Q4_K_M-GGUF
Authorpervseal
Pipelinetext-generation
Licensegemma
Base modelNabbers1999/gemma-3-12b-it-abliterated-refined-novis
Last modified2026-06-10T15:59:40.000Z

Model README

---

base_model: Nabbers1999/gemma-3-12b-it-abliterated-refined-novis

library_name: transformers

tags:

  • gemma
  • gemma-3
  • text-generation
  • conversational
  • abliterated
  • llama-cpp
  • gguf-my-repo

license: gemma

language:

  • en

---

pervseal/gemma-3-12b-it-abliterated-refined-novis-Q4_K_M-GGUF

This model was converted to GGUF format from Nabbers1999/gemma-3-12b-it-abliterated-refined-novis 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 pervseal/gemma-3-12b-it-abliterated-refined-novis-Q4_K_M-GGUF --hf-file gemma-3-12b-it-abliterated-refined-novis-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo pervseal/gemma-3-12b-it-abliterated-refined-novis-Q4_K_M-GGUF --hf-file gemma-3-12b-it-abliterated-refined-novis-q4_k_m.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 pervseal/gemma-3-12b-it-abliterated-refined-novis-Q4_K_M-GGUF --hf-file gemma-3-12b-it-abliterated-refined-novis-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo pervseal/gemma-3-12b-it-abliterated-refined-novis-Q4_K_M-GGUF --hf-file gemma-3-12b-it-abliterated-refined-novis-q4_k_m.gguf -c 2048

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