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…
Runs locally from ~6.80 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| gemma-3-12b-it-abliterated-refined-novis-q4_k_m.gguf | GGUF | Q4_K_M | 6.80 GB | Download |
Model Details
| Model ID | pervseal/gemma-3-12b-it-abliterated-refined-novis-Q4_K_M-GGUF |
|---|---|
| Author | pervseal |
| Pipeline | text-generation |
| License | gemma |
| Base model | Nabbers1999/gemma-3-12b-it-abliterated-refined-novis |
| Last modified | 2026-06-10T15:59:40.000Z |
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 2048Run pervseal/gemma-3-12b-it-abliterated-refined-novis-Q4_K_M-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models