What are the hardware requirements for Gemma 4 31B It Speculator.dflash2?

Gemma 4 31B It Speculator.dflash2 requires approximately 5.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 31B It Speculator.dflash2 and how large is it?

Gemma 4 31B It Speculator.dflash2 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 Speculator.dflash2?

Gemma 4 31B It Speculator.dflash2 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 Speculator.dflash2 by RedHatAI — VRAM 5.5GB

Name: Gemma 4 31B It Speculator.dflash2
Author: RedHatAI

Gemma 4 31B It Speculator.dflash2 is an open-source language model by RedHatAI. Features: 31b LLM, VRAM: 5.5GB, License: apache-2.0, LLM Explorer Score: 0.3.

Base model:finetune:google/gem... Base model:google/gemma-4-31b-... Custom code Dflash2 Region:us Safetensors Speculative-decoding Speculators

Model Card on HF 🤗: https://huggingface.co/RedHatAI/gemma-4-31B-it-speculator.dflash2

Gemma 4 31B It Speculator.dflash2 Parameters and Internals

LLM Name	Gemma 4 31B It Speculator.dflash2
Repository 🤗	https://huggingface.co/RedHatAI/gemma-4-31B-it-speculator.dflash2
Base Model(s)	Gemma 4 31B It google/gemma-4-31B-it
Model Size	31b
Required VRAM	5.5 GB
Updated	2026-10-27
Maintainer	RedHatAI
Model Files	5.5 GB
Model Architecture	DFlash2DraftModel
License	apache-2.0
Transformers Version	5.16.1

Rank the Gemma 4 31B It Speculator.dflash2 capabilities

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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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