What are the hardware requirements for Gemma 4 12B It NVFP4A16?

Gemma 4 12B It NVFP4A16 requires approximately 8.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 12B It NVFP4A16 and how large is it?

Gemma 4 12B It NVFP4A16 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 NVFP4A16?

Gemma 4 12B It NVFP4A16 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 NVFP4A16 by axteam — VRAM 8.2GB

Name: Gemma 4 12B It NVFP4A16
Author: axteam

Gemma 4 12B It NVFP4A16 is an open-source language model by axteam. Features: 12b LLM, VRAM: 8.2GB, License: apache-2.0, LLM Explorer Score: 0.29.

8-bit Base model:google/gemma-4-12b-... Base model:quantized:google/ge... Compressed-tensors Conversational Endpoints compatible Fp4 Gemma Gemma4 Gemma4 unified Image-text-to-text Nvfp4 Quantized Region:us Safetensors Vllm W4a16

Model Card on HF 🤗: https://huggingface.co/axteam/gemma-4-12B-it-NVFP4A16

Gemma 4 12B It NVFP4A16 Parameters and Internals

LLM Name	Gemma 4 12B It NVFP4A16
Repository 🤗	https://huggingface.co/axteam/gemma-4-12B-it-NVFP4A16
Base Model(s)	Gemma 4 12B It google/gemma-4-12B-it
Model Size	12b
Required VRAM	8.2 GB
Updated	2026-10-15
Maintainer	axteam
Model Type	gemma4_unified
Model Files	8.2 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 NVFP4A16 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 12B It NVFP4A16

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 12B It	0K / 23.9 GB	2965396	1417
Gemma 4 12B	0K / 23.9 GB	82749	779
...able5 Composer2.5 V2.3.5x Tau2	0K / 23.9 GB	242415	87
Jev Omni	0K / 23.9 GB	0	223
Gemma 4 12B It NVFP4	0K / 9.3 GB	47579	20
Gemma 4 12B It	0K / 23.9 GB	146843	15
...le5 Composer2.5 V1 Abliterated	0K / 24 GB	30003	1
Gemma 4 12B	0K / 23.9 GB	13026	18
...2B It AEON Abliterated K4 BF16	0K / 23.9 GB	6950	32
...a 4 12B It W4a16 Llmcompressor	0K / 7.7 GB	2370	1

Note: green Score (e.g. "73.2") means that the model is better than axteam/gemma-4-12B-it-NVFP4A16.