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

Gemma 4 31B It Qat GGUF requires approximately 0.3 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 GGUF and how large is it?

Gemma 4 31B It Qat GGUF is developed by unsloth, 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 GGUF?

Gemma 4 31B It Qat GGUF 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 GGUF by unsloth — VRAM 0.3GB

Name: Gemma 4 31B It Qat GGUF
Author: unsloth

Gemma 4 31B It Qat GGUF is an open-source language model by unsloth. Features: 31b LLM, VRAM: 0.3GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.38.

Base model:google/gemma-4-31b-... Base model:quantized:google/ge... Conversational Endpoints compatible Gemma Gemma4 Gguf Google Image-text-to-text Q4 Q4 0 Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/gemma-4-31B-it-qat-GGUF

Gemma 4 31B It Qat GGUF Parameters and Internals

LLM Name	Gemma 4 31B It Qat GGUF
Repository 🤗	https://huggingface.co/unsloth/gemma-4-31B-it-qat-GGUF
Base Model(s)	... 4 31B It Qat Q4 0 Unquantized google/gemma-4-31B-it-qat-q4_0-unquantized
Model Size	31b
Required VRAM	0.3 GB
Updated	2026-08-09
Maintainer	unsloth
Model Type	gemma4
Model Files	17.3 GB 1.2 GB 1.2 GB 2.3 GB 0.3 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_0\|q4_k
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.5.0.dev0
Torch Data Type	bfloat16

Rank the Gemma 4 31B It Qat GGUF 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 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 31B It GGUF	0K / 1.2 GB	486193	551
Gemma4 31B 1bit	0K / 3.8 GB	671	1
Gemma Astrology	0K / 62.6 GB	459	1
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	19306	25
... 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

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