What are the hardware requirements for Gemma 4 31B It Abliterated?

Gemma 4 31B It Abliterated requires approximately 62.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 31B It Abliterated and how large is it?

Gemma 4 31B It Abliterated is developed by wangzhang, a model with 31b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Gemma 4 31B It Abliterated?

Gemma 4 31B It Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 31B It Abliterated by wangzhang — VRAM 62.5GB

Name: Gemma 4 31B It Abliterated
Author: wangzhang

Gemma 4 31B It Abliterated is an open-source language model by wangzhang. Features: 31b LLM, VRAM: 62.5GB, License: gemma, LLM Explorer Score: 0.35.

Abliterated Abliterix Base model:finetune:google/gem... Base model:google/gemma-4-31b-... Direct-weight-editing Gemma4 Llm-judge Region:us Safetensors Sharded Tensorflow Uncensored Vllm

Model Card on HF 🤗: https://huggingface.co/wangzhang/gemma-4-31B-it-abliterated

Gemma 4 31B It Abliterated Parameters and Internals

LLM Name	Gemma 4 31B It Abliterated
Repository 🤗	https://huggingface.co/wangzhang/gemma-4-31B-it-abliterated
Base Model(s)	Gemma 4 31B It google/gemma-4-31B-it
Model Size	31b
Required VRAM	62.5 GB
Updated	2026-07-31
Maintainer	wangzhang
Model Type	gemma4
Model Files	49.9 GB: 1-of-2 12.6 GB: 2-of-2
Model Architecture	Gemma4ForConditionalGeneration
License	gemma
Transformers Version	5.6.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 31B It Abliterated 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

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Gemma 4 31B It	0K / 62.6 GB	10706625	2780
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Gemma 4 31B JANG 4M CRACK	0K / 22.6 GB	24056	1704
Gemma 4 31B	0K / 62.6 GB	694395	498
Gemma 4 31B It FP8 Block	0K / 33.3 GB	3798582	44
Gemma 4 31B It NVFP4	0K / 23.3 GB	1115539	57
Orion 26B A4B V1.1	0K / 51.6 GB	188	23
Gemma 4 31B It NVFP4	0K / 24.8 GB	39440	31

Note: green Score (e.g. "73.2") means that the model is better than wangzhang/gemma-4-31B-it-abliterated.