What are the hardware requirements for Gemma 4 E2B It NVFP4?

Gemma 4 E2B It NVFP4 requires approximately 7.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E2B It NVFP4 and how large is it?

Gemma 4 E2B It NVFP4 is developed by axteam, a model with 5.1b 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 E2B It NVFP4?

Gemma 4 E2B It NVFP4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 E2B It NVFP4 by axteam — VRAM 7.6GB

Name: Gemma 4 E2B It NVFP4
Author: axteam

Gemma 4 E2B It NVFP4 is an open-source language model by axteam. Features: 5.1b LLM, VRAM: 7.6GB, License: apache-2.0, LLM Explorer Score: 0.28.

Base model:google/gemma-4-e2b-... Base model:quantized:google/ge... Compressed-tensors Conversational Endpoints compatible Fp4 Gemma Gemma4 Image-text-to-text Nvfp4 Quantized Region:us Safetensors Vllm

Model Card on HF 🤗: https://huggingface.co/axteam/gemma-4-E2B-it-NVFP4

Gemma 4 E2B It NVFP4 Parameters and Internals

LLM Name	Gemma 4 E2B It NVFP4
Repository 🤗	https://huggingface.co/axteam/gemma-4-E2B-it-NVFP4
Base Model(s)	Gemma 4 E2B It google/gemma-4-E2B-it
Model Size	5.1b
Required VRAM	7.6 GB
Updated	2026-10-15
Maintainer	axteam
Model Type	gemma4
Model Files	7.6 GB
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.5.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 E2B It NVFP4 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 E2B It NVFP4

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 E2B It	0K / 10.2 GB	3222438	654
Gemma 4 E2B	0K / 10.2 GB	79938	425
Ringg Router E2b	0K / 10.2 GB	740	7
Gemma 4 E2B It Heretic	0K / 10.2 GB	1340	0
Gemma 4 E2B It	0K / 10.2 GB	69653	13
Gemma 4 E2B It NVFP4A16	0K / 7.6 GB	33	1
Gemma 4 E2B It FP8 Dynamic	0K / 8.4 GB	30	1
Heretic Scalpel E2B	0K / 10.2 GB	139	2
Gemma 4 E2B It Abliterated	0K / 10.2 GB	31	0
Gemma SEA LION V4.5 E2B IT	0K / 10.2 GB	2783	12

Note: green Score (e.g. "73.2") means that the model is better than axteam/gemma-4-E2B-it-NVFP4.