What are the hardware requirements for Broken Quants Gemma 4 12B Janus Abliterated V2 Base And GGUF?

Broken Quants Gemma 4 12B Janus Abliterated V2 Base And GGUF requires approximately 23.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Broken Quants Gemma 4 12B Janus Abliterated V2 Base And GGUF?

Broken Quants Gemma 4 12B Janus Abliterated V2 Base And GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Broken Quants Gemma 4 12B Janus Abliterated V2 Base And GGUF by SOMEHOTMEAL — VRAM 23.9GB

Name: Broken Quants Gemma 4 12B Janus Abliterated V2 Base And GGUF
Author: SOMEHOTMEAL

Broken Quants Gemma 4 12B Janus Abliterated V2 Base And GGUF is an open-source language model by SOMEHOTMEAL. Features: 12b LLM, VRAM: 23.9GB, Quantized, Merged, LLM Explorer Score: 0.31.

Merged Model Arxiv:2311.03099 Base model:culturerevolt/gemma... Base model:google/gemma-4-12b-... Conversational Endpoints compatible Fp16 Gemma4 unified Gguf Image-text-to-text Q2 Q8 0 Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/SOMEHOTMEAL/_Broken-quants_Gemma-4-12B-Janus-Abliterated-V2-Base_And_GGUF

Broken Quants Gemma 4 12B Janus Abliterated V2 Base And GGUF Parameters and Internals

LLM Name	Broken Quants Gemma 4 12B Janus Abliterated V2 Base And GGUF
Repository 🤗	https://huggingface.co/SOMEHOTMEAL/_Broken-quants_Gemma-4-12B-Janus-Abliterated-V2-Base_And_GGUF
Base Model(s)	Gemma 4 12B It ...emma 4 12B Heretic Abliterated google/gemma-4-12B-it culturerevolt/gemma-4-12b-heretic-abliterated
Merged Model	Yes
Model Size	12b
Required VRAM	23.9 GB
Updated	2026-09-21
Maintainer	SOMEHOTMEAL
Model Type	gemma4_unified
Model Files	0.0 GB 0.0 GB 0.0 GB 0.0 GB 23.8 GB 4.9 GB: 1-of-5 4.9 GB: 2-of-5 5.0 GB: 3-of-5 5.0 GB: 4-of-5 4.1 GB: 5-of-5 4.9 GB 4.9 GB 5.0 GB 5.0 GB 4.1 GB
GGUF Quantization	Yes
Quantization Type	fp16\|gguf\|q2\|q8_0\|q4_k
Model Architecture	Gemma4UnifiedForConditionalGeneration
Transformers Version	5.18.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144

Rank the Broken Quants Gemma 4 12B Janus Abliterated V2 Base And GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Broken Quants Gemma 4 12B Janus Abliterated V2 Base And GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 12B OBLITERATED	0K / 7.4 GB	34628	423
Gemma 4 12B It Jbliterated	0K / 7.4 GB	1911	2
...emma 4 12B Heretic Abliterated	0K / 0.2 GB	330	1
Swarm Sovereign 12B	0K / 24 GB	164	2
Gemma 4 12B It Qat W4a16 Ct	0K / 10.3 GB	1564845	56
... 4 12B It Qat Q4 0 Unquantized	0K / 23.9 GB	531981	73
... Coder Fable5 Composer2.5 8bit	0K / 12.6 GB	8917	35
... Coder Fable5 Composer2.5 4bit	0K / 6.7 GB	8111	38
Gemma 4 12B It Qat 4bit	0K / 10.9 GB	16338	25
Gemma 4 12B It OptiQ 4bit	0K / 8.8 GB	9438	41

Note: green Score (e.g. "73.2") means that the model is better than SOMEHOTMEAL/_Broken-quants_Gemma-4-12B-Janus-Abliterated-V2-Base_And_GGUF.