What are the hardware requirements for Gemma 4 31B It FP8 Block?

Gemma 4 31B It FP8 Block requires approximately 33.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 31B It FP8 Block and how large is it?

Gemma 4 31B It FP8 Block is developed by RedHatAI, 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 FP8 Block?

Gemma 4 31B It FP8 Block 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 FP8 Block by RedHatAI — VRAM 33.3GB

Name: Gemma 4 31B It FP8 Block
Author: RedHatAI

Gemma 4 31B It FP8 Block is an open-source language model by RedHatAI. Features: 31b LLM, VRAM: 33.3GB, License: apache-2.0, LLM Explorer Score: 0.38.

Base model:google/gemma-4-31b-... Base model:quantized:google/ge... Compressed-tensors Conversational Endpoints compatible Fp8 Gemma4 Image-text-to-text Llm-compressor Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/RedHatAI/gemma-4-31B-it-FP8-block

Gemma 4 31B It FP8 Block Parameters and Internals

LLM Name	Gemma 4 31B It FP8 Block
Repository 🤗	https://huggingface.co/RedHatAI/gemma-4-31B-it-FP8-block
Base Model(s)	Gemma 4 31B It google/gemma-4-31B-it
Model Size	31b
Required VRAM	33.3 GB
Updated	2026-08-09
Maintainer	RedHatAI
Model Type	gemma4
Model Files	26.9 GB: 1-of-2 6.4 GB: 2-of-2
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.5.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 31B It FP8 Block 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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Gemma 4 31B It	0K / 62.6 GB	10706625	2780
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Gemma 4 31B It NVFP4	0K / 23.3 GB	1115539	57
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Gemma 4 31B It FP8 Dynamic	0K / 33.3 GB	225522	23
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Note: green Score (e.g. "73.2") means that the model is better than RedHatAI/gemma-4-31B-it-FP8-block.