What are the hardware requirements for Gemma 4 31B JANG 4M CRACK?

Gemma 4 31B JANG 4M CRACK requires approximately 22.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 31B JANG 4M CRACK and how large is it?

Gemma 4 31B JANG 4M CRACK is developed by okanity, 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 JANG 4M CRACK?

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

Gemma 4 31B JANG 4M CRACK by okanity — VRAM 22.6GB

Name: Gemma 4 31B JANG 4M CRACK
Author: okanity

Gemma 4 31B JANG 4M CRACK is an open-source language model by okanity. Features: 31b LLM, VRAM: 22.6GB, License: gemma, LLM Explorer Score: 0.29.

Abliterated Conversational Crack Gemma4 Jang Mlx Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/okanity/Gemma-4-31B-JANG_4M-CRACK

Gemma 4 31B JANG 4M CRACK Benchmarks

LLME Score: 0.28637

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gemma 4 31B JANG 4M CRACK (okanity/Gemma-4-31B-JANG_4M-CRACK)

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Gemma 4 31B JANG 4M CRACK Parameters and Internals

LLM Name	Gemma 4 31B JANG 4M CRACK
Repository 🤗	https://huggingface.co/okanity/Gemma-4-31B-JANG_4M-CRACK
Model Size	31b
Required VRAM	22.6 GB
Updated	2026-05-21
Maintainer	okanity
Model Type	gemma4
Model Files	5.4 GB: 1-of-5 5.3 GB: 2-of-5 5.3 GB: 3-of-5 5.3 GB: 4-of-5 1.3 GB: 5-of-5
Model Architecture	Gemma4ForConditionalGeneration
License	gemma
Transformers Version	5.5.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Best Alternatives to Gemma 4 31B JANG 4M CRACK

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 31B IT NVFP4	0K / 32.6 GB	2316867	489
Gemma 4 31B It	0K / 62.6 GB	49119	17
Equinox 31B	0K / 62.6 GB	506	44
G4 MeroMero 31B	0K / 62.6 GB	2328	53
G4 31B Musica V1	0K / 62.5 GB	2072	17
Gemma 4 31B It Abliterated	0K / 62.5 GB	8127	18
Gemma 4 31B It Bf16	0K / 62.6 GB	4569	8
Gemma4 GarnetV2 31B	0K / 62.6 GB	834	12
Gemopus 4 31B It	0K / 62.6 GB	583	8
Gemma4 Garnet 31B	0K / 62.6 GB	636	9

Note: green Score (e.g. "73.2") means that the model is better than okanity/Gemma-4-31B-JANG_4M-CRACK.

Rank the Gemma 4 31B JANG 4M CRACK 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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Release v20260328a

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Gemma 4 31B JANG 4M CRACK by okanity

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Gemma 4 31B JANG 4M CRACK Benchmarks

Gemma 4 31B JANG 4M CRACK Parameters and Internals

Best Alternatives to Gemma 4 31B JANG 4M CRACK

Rank the Gemma 4 31B JANG 4M CRACK Capabilities

What open-source LLMs or SLMs are you in search of? 53942 in total.