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.

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 (wangzhang/gemma-4-31B-it-abliterated)

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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)	google/gemma-4-31B-it google/gemma-4-31B-it
Model Size	31b
Required VRAM	62.5 GB
Updated	2026-05-02
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>

Best Alternatives to Gemma 4 31B It Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 31B IT NVFP4	0K / 32.6 GB	1611755	425
Gemma 4 31B It	0K / 62.6 GB	46845	13
Gemma 4 31B It Bf16	0K / 62.6 GB	7225	4
Gemma4 GarnetV2 31B	0K / 62.6 GB	573	9
Gemma 4 31B JANG 4M CRACK	0K / 22.6 GB	2514	3
Gemopus 4 31B It	0K / 62.6 GB	576	7
Gemma4 Garnet 31B	0K / 62.6 GB	497	9
Gemma 31B Sft 250	0K / 62.5 GB	149	0
G4 31B Musica V1	0K / 62.5 GB	0	5
G4 MeroMero 31B	0K / 62.6 GB	6	12

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

Rank the Gemma 4 31B It Abliterated Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 Abliterated by wangzhang

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Gemma 4 31B It Abliterated Parameters and Internals

Best Alternatives to Gemma 4 31B It Abliterated

Rank the Gemma 4 31B It Abliterated Capabilities

What open-source LLMs or SLMs are you in search of? 53373 in total.