What are the hardware requirements for Liujgoj Cantonese Gemma4 12B Base?

Liujgoj Cantonese Gemma4 12B Base requires approximately 24.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Liujgoj Cantonese Gemma4 12B Base and how large is it?

Liujgoj Cantonese Gemma4 12B Base is developed by Yvthyvq, a model with 12b 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 Liujgoj Cantonese Gemma4 12B Base?

Liujgoj Cantonese Gemma4 12B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Liujgoj Cantonese Gemma4 12B Base by Yvthyvq — VRAM 24.1GB

Name: Liujgoj Cantonese Gemma4 12B Base
Author: Yvthyvq

Liujgoj Cantonese Gemma4 12B Base is an open-source language model by Yvthyvq. Features: 12b LLM, VRAM: 24.1GB, License: apache-2.0, LLM Explorer Score: 0.27.

Cantonese Cpt Gemma4 Gemma4 unified Liujgoj Region:us Safetensors Sharded Tensorflow Yue Zh

Model Card on HF 🤗: https://huggingface.co/Yvthyvq/Liujgoj-Cantonese-Gemma4-12b-Base

Liujgoj Cantonese Gemma4 12B Base Parameters and Internals

LLM Name	Liujgoj Cantonese Gemma4 12B Base
Repository 🤗	https://huggingface.co/Yvthyvq/Liujgoj-Cantonese-Gemma4-12b-Base
Model Size	12b
Required VRAM	24.1 GB
Updated	2026-07-30
Maintainer	Yvthyvq
Model Type	gemma4_unified
Model Files	4.9 GB: 1-of-5 5.0 GB: 2-of-5 5.0 GB: 3-of-5 5.0 GB: 4-of-5 4.2 GB: 5-of-5
Supported Languages	zh
Model Architecture	Gemma4UnifiedForConditionalGeneration
License	apache-2.0
Transformers Version	5.14.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Liujgoj Cantonese Gemma4 12B Base capabilities

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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 12B It	0K / 23.9 GB	2965396	1417
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...le5 Composer2.5 V1 Abliterated	0K / 24 GB	30003	1
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...2B Coder Fable5 Composer2.5 V1	0K / 23.9 GB	1477	58
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Caelum G4 38B A12.5B	0K / 75.7 GB	163	0

Note: green Score (e.g. "73.2") means that the model is better than Yvthyvq/Liujgoj-Cantonese-Gemma4-12b-Base.