What are the hardware requirements for Gemma 4 12B It FP8 Dynamic?

Gemma 4 12B It FP8 Dynamic requires approximately 13 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 12B It FP8 Dynamic and how large is it?

Gemma 4 12B It FP8 Dynamic is developed by axteam, a model with 12b 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 12B It FP8 Dynamic?

Gemma 4 12B It FP8 Dynamic is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 12B It FP8 Dynamic by axteam — VRAM 13GB

Name: Gemma 4 12B It FP8 Dynamic
Author: axteam

Gemma 4 12B It FP8 Dynamic is an open-source language model by axteam. Features: 12b LLM, VRAM: 13GB, License: apache-2.0, LLM Explorer Score: 0.28.

Base model:google/gemma-4-12b-... Base model:quantized:google/ge... Compressed-tensors Conversational Endpoints compatible Fp8 Gemma Gemma4 Gemma4 unified Image-text-to-text Quantized Region:us Safetensors Vllm

Model Card on HF 🤗: https://huggingface.co/axteam/gemma-4-12B-it-FP8-dynamic

Gemma 4 12B It FP8 Dynamic Parameters and Internals

LLM Name	Gemma 4 12B It FP8 Dynamic
Repository 🤗	https://huggingface.co/axteam/gemma-4-12B-it-FP8-dynamic
Base Model(s)	Gemma 4 12B It google/gemma-4-12B-it
Model Size	12b
Required VRAM	13 GB
Updated	2026-10-15
Maintainer	axteam
Model Type	gemma4_unified
Model Files	13.0 GB
Model Architecture	Gemma4UnifiedForConditionalGeneration
License	apache-2.0
Transformers Version	5.10.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 12B It FP8 Dynamic 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 12B It	0K / 23.9 GB	2965396	1417
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Note: green Score (e.g. "73.2") means that the model is better than axteam/gemma-4-12B-it-FP8-dynamic.