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

Gemma 4 31B It Qat 4bit requires approximately 28.8 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 4bit and how large is it?

Gemma 4 31B It Qat 4bit 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 4bit?

Gemma 4 31B It Qat 4bit 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 4bit by mlx-community — VRAM 28.8GB

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

Gemma 4 31B It Qat 4bit is an open-source language model by mlx-community. Features: 31b LLM, VRAM: 28.8GB, Quantized, LLM Explorer Score: 0.32.

4-bit 4bit 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-4bit

Gemma 4 31B It Qat 4bit Benchmarks

LLME Score: 0.31502

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gemma 4 31B It Qat 4bit (mlx-community/gemma-4-31B-it-qat-4bit)

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Gemma 4 31B It Qat 4bit Parameters and Internals

LLM Name	Gemma 4 31B It Qat 4bit
Repository 🤗	https://huggingface.co/mlx-community/gemma-4-31B-it-qat-4bit
Model Size	31b
Required VRAM	28.8 GB
Updated	2026-07-07
Maintainer	mlx-community
Model Type	gemma4
Model Files	5.3 GB: 1-of-6 5.3 GB: 2-of-6 5.4 GB: 3-of-6 5.4 GB: 4-of-6 5.3 GB: 5-of-6 2.1 GB: 6-of-6
Supported Languages	en
Quantization Type	4bit
Model Architecture	Gemma4ForConditionalGeneration
Transformers Version	5.6.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Best Alternatives to Gemma 4 31B It Qat 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...emma 4 31B It Unsloth Bnb 4bit	0K / 19.2 GB	377345	19
Gemma 4 31B It Qat OptiQ 4bit	0K / 22.4 GB	3585	5
Gemma 4 31B It PolarQuant Q5	0K / 21.4 GB	982	3
Gemma 4 31B It Mlx 4bit	0K / 18.5 GB	153	4
Gemma 4 31B It HLWQ Q5	0K / 21.4 GB	19	4
Gemma 4 31B It	0K / 62.6 GB	10706625	2780
Gemma 4 31B It GGUF	0K / 1.2 GB	607972	512
Gemma 4 31B IT NVFP4	0K / 32.6 GB	1542625	526
Gemma 4 31B It	0K / 62.6 GB	18957	21
Gemma 4 31B StyleTune	0K / 65.4 GB	2232	71

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

Rank the Gemma 4 31B It Qat 4bit Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Gemma 4 31B It Qat 4bit by mlx-community

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Gemma 4 31B It Qat 4bit Benchmarks

Gemma 4 31B It Qat 4bit Parameters and Internals

Best Alternatives to Gemma 4 31B It Qat 4bit

Rank the Gemma 4 31B It Qat 4bit Capabilities

What open-source LLMs or SLMs are you in search of? 54964 in total.