What are the hardware requirements for Gemma 3 27B It Qat 8bit?

Gemma 3 27B It Qat 8bit requires approximately 31.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 3 27B It Qat 8bit and how large is it?

Gemma 3 27B It Qat 8bit is developed by mlx-community, a model with 1b 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 3 27B It Qat 8bit?

Gemma 3 27B It Qat 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 3 27B It Qat 8bit by mlx-community — VRAM 31.2GB

Name: Gemma 3 27B It Qat 8bit
Author: mlx-community

Gemma 3 27B It Qat 8bit is an open-source language model by mlx-community. Features: 1b LLM, VRAM: 31.2GB, License: other, Quantized, Instruction-Based.

8bit Base model:finetune:opengvlab/... Base model:opengvlab/internvl3... Conversational Custom code Dataset:opengvlab/mmpr-v1.2 Endpoints compatible Gemma3 Image-text-to-text Instruct Internvl Mlx Multilingual Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-3-27b-it-qat-8bit

Gemma 3 27B It Qat 8bit Parameters and Internals

LLM Name	Gemma 3 27B It Qat 8bit
Repository 🤗	https://huggingface.co/mlx-community/gemma-3-27b-it-qat-8bit
Base Model(s)	OpenGVLab/InternVL3-1B-Instruct OpenGVLab/InternVL3-1B-Instruct
Model Size	1b
Required VRAM	31.2 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	gemma3
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-6 5.3 GB: 2-of-6 5.3 GB: 3-of-6 5.3 GB: 4-of-6 5.3 GB: 5-of-6 4.7 GB: 6-of-6
Quantization Type	8bit
Model Architecture	Gemma3ForConditionalGeneration
License	other
Transformers Version	4.51.3
Padding Token	<pad>

Rank the Gemma 3 27B It Qat 8bit 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

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