What are the hardware requirements for Gemma 4 12B It Qat 6bit?

Gemma 4 12B It Qat 6bit requires approximately 11.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 12B It Qat 6bit and how large is it?

Gemma 4 12B It Qat 6bit is developed by mlx-community, 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 Qat 6bit?

Gemma 4 12B It Qat 6bit 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 Qat 6bit by mlx-community — VRAM 11.9GB

Name: Gemma 4 12B It Qat 6bit
Author: mlx-community

Gemma 4 12B It Qat 6bit is an open-source language model by mlx-community. Features: 12b LLM, VRAM: 11.9GB, Quantized, LLM Explorer Score: 0.27.

6-bit 6bit Conversational En Gemma4 unified Image-text-to-text Mlx Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-4-12B-it-qat-6bit

Gemma 4 12B It Qat 6bit Parameters and Internals

LLM Name	Gemma 4 12B It Qat 6bit
Repository 🤗	https://huggingface.co/mlx-community/gemma-4-12B-it-qat-6bit
Model Size	12b
Required VRAM	11.9 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	gemma4_unified
Model Files	5.3 GB: 1-of-3 5.4 GB: 2-of-3 1.2 GB: 3-of-3
Supported Languages	en
Quantization Type	6bit
Model Architecture	Gemma4UnifiedForConditionalGeneration
Transformers Version	5.10.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 12B It Qat 6bit 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 Qat 6bit

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 12B It Qat 4bit	0K / 10.9 GB	16338	25
Gemma 4 12B It OptiQ 4bit	0K / 8.8 GB	9438	41
Gemma 4 12B It 8bit	0K / 12.7 GB	5702	41
...ble5 Composer2.5 V1 OptiQ 4bit	0K / 8.8 GB	2920	5
Gemma 4 12B It 4bit	0K / 10.9 GB	7953	15
Gemma 4 12B It Qat OptiQ 4bit	0K / 8.9 GB	5018	11
... 4 12B It Qat Q4 0 Unquantized	0K / 23.9 GB	4014	9
Gemma 4 12B It Qat 8bit	0K / 12.7 GB	476	1
Gemma 4 12B It 6bit	0K / 9.7 GB	214	2
Gemma 4 12B It 5bit	0K / 8.2 GB	91	1

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gemma-4-12B-it-qat-6bit.