Model Intelligence Sheet
SOMEHOTMEAL/Gemma-3-12B-Janus-Abliterated-V2-Base_And_GGUF overview
base model: DreamFast/gemma 3 12b it heretic google/gemma 3 12b it library name: transformers tags: mergekit merge Gemma 3 12B Janus Abliterated V2 This is a m…
Runs locally from ~4.45 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
5 GGUF files detected
Direct downloads for local inference
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Gemma-3-12B-Janus-Abliterated-V2-Q2_K-GGUF.gguf | GGUF | Q2_K | 4.45 GB | Download |
| Gemma-3-12B-Janus-Abliterated-V2-Q4_K_M-GGUF.gguf | GGUF | Q4_K_M | 6.81 GB | Download |
| Gemma-3-12B-Janus-Abliterated-V2-Q6_K-GGUF.gguf | GGUF | Q6_K | 9.00 GB | Download |
| Gemma-3-12B-Janus-Abliterated-V2-Q8_0-GGUF.gguf | GGUF | Q8_0 | 11.66 GB | Download |
| Gemma-3-12B-Janus-Abliterated-V2-f16-GGUF.gguf | GGUF | F16 | 21.93 GB | Download |
Model Details
| Model ID | SOMEHOTMEAL/Gemma-3-12B-Janus-Abliterated-V2-Base_And_GGUF |
|---|---|
| Author | SOMEHOTMEAL |
| Pipeline | image-text-to-text |
| License | — |
| Base model | DreamFast/gemma-3-12b-it-heretic,google/gemma-3-12b-it |
| Last modified | 2026-09-13T16:25:06.000Z |
Model README
---
base_model:
- DreamFast/gemma-3-12b-it-heretic
- google/gemma-3-12b-it
library_name: transformers
tags:
- mergekit
- merge
---
Gemma-3-12B-Janus-Abliterated-V2
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Linear DARE merge method using google/gemma-3-12b-it as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
merge_method: dare_linear
base_model: google/gemma-3-12b-it
models:
- model: DreamFast/gemma-3-12b-it-heretic
parameters:
weight: 0.60
density: 0.70
dtype: bfloat16
tokenizer_source: baseRun SOMEHOTMEAL/Gemma-3-12B-Janus-Abliterated-V2-Base_And_GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models