What are the hardware requirements for Gemma 4 31B It Qat 6bit?

Gemma 4 31B It Qat 6bit 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 4 31B It Qat 6bit and how large is it?

Gemma 4 31B It Qat 6bit is developed by mlx-community, 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 It Qat 6bit?

Gemma 4 31B 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 31B It Qat 6bit by mlx-community — VRAM 31.2GB

Name: Gemma 4 31B It Qat 6bit
Author: mlx-community

Gemma 4 31B It Qat 6bit is an open-source language model by mlx-community. Features: 31b LLM, VRAM: 31.2GB, Quantized, LLM Explorer Score: 0.25.

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

Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-4-31B-it-qat-6bit

Gemma 4 31B It Qat 6bit Parameters and Internals

LLM Name	Gemma 4 31B It Qat 6bit
Repository 🤗	https://huggingface.co/mlx-community/gemma-4-31B-it-qat-6bit
Model Size	31b
Required VRAM	31.2 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	gemma4
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
Supported Languages	en
Quantization Type	6bit
Model Architecture	Gemma4ForConditionalGeneration
Transformers Version	5.6.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 31B 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 31B It Qat 6bit

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 31B It 4bit	0K / 18.5 GB	45067	46
... 4 31B It Qat Q4 0 Unquantized	0K / 62.6 GB	9972	39
...emma 4 31B It Unsloth Bnb 4bit	0K / 19.2 GB	20081	24
... 4 31B It Qat Q4 0 Unquantized	0K / 62.6 GB	2074	4
Gemma 4 31B It 8bit	0K / 33.8 GB	3214	17
Gemma 4 31B 8bit	0K / 33.8 GB	957	24
Gemma 4 31B It UD MLX 4bit	0K / 23.2 GB	792	28
Gemma 4 31B It MLX 8bit	0K / 33.8 GB	972	15
Gemma 4 31B It 6bit	0K / 26 GB	906	7
Gemma 4 31B 4bit	0K / 18.5 GB	448	11

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gemma-4-31B-it-qat-6bit.