What are the hardware requirements for Gemma 4 12B It?

Gemma 4 12B It requires approximately 16.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 12B It and how large is it?

Gemma 4 12B It is developed by Binade, 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 Gemma 4 12B It?

Gemma 4 12B It is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 12B It by Binade — VRAM 16.1GB

Name: Gemma 4 12B It
Author: Binade

Gemma 4 12B It is an open-source language model by Binade. Features: 12b LLM, VRAM: 16.1GB, License: apache-2.0, LLM Explorer Score: 0.29.

8-bit Apple-silicon Bf16 Binade Conversational Cuda Gemma4 unified Lossless-compression Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Binade/gemma-4-12B-it

Gemma 4 12B It Parameters and Internals

LLM Name	Gemma 4 12B It
Repository 🤗	https://huggingface.co/Binade/gemma-4-12B-it
Model Size	12b
Required VRAM	16.1 GB
Updated	2026-10-22
Maintainer	Binade
Model Type	gemma4_unified
Model Files	16.1 GB
Model Architecture	Gemma4UnifiedForConditionalGeneration
License	apache-2.0
Transformers Version	5.10.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 12B It 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 Gemma 4 12B It

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 12B It	0K / 23.9 GB	2965396	1417
Gemma 4 12B	0K / 23.9 GB	73563	808
...able5 Composer2.5 V2.3.5x Tau2	0K / 23.9 GB	242415	87
Gemma 4 12B It	0K / 23.9 GB	146843	15
Gemma 4 12B It NVFP4	0K / 9.3 GB	47579	20
Jev Omni	0K / 23.9 GB	0	223
Basal Omni 1.0 Max	0K / 23.9 GB	1098	3
...le5 Composer2.5 V1 Abliterated	0K / 24 GB	30003	1
Gemma 4 12B Penguin	0K / 16 GB	301	1
Humanizer 12B MLX OQ5 G64	0K / 8.4 GB	323	1

Note: green Score (e.g. "73.2") means that the model is better than Binade/gemma-4-12B-it.