What are the hardware requirements for Neapolitan Translator V0 Gemma4 E4b?

Neapolitan Translator V0 Gemma4 E4b requires approximately 6.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Neapolitan Translator V0 Gemma4 E4b and how large is it?

Neapolitan Translator V0 Gemma4 E4b is developed by gdacciaro, a model with 7.5b 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 Neapolitan Translator V0 Gemma4 E4b?

Neapolitan Translator V0 Gemma4 E4b is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Neapolitan Translator V0 Gemma4 E4b by gdacciaro — VRAM 6.5GB

Name: Neapolitan Translator V0 Gemma4 E4b
Author: gdacciaro

Neapolitan Translator V0 Gemma4 E4b is an open-source language model by gdacciaro. Features: 7.5b LLM, VRAM: 6.5GB, License: gemma, Quantized, LLM Explorer Score: 0.25.

4-bit 4bit Apple-silicon Base model:mlx-community/gemma... Base model:quantized:mlx-commu... Conversational Gemma-4 Gemma4 Italian Mlx Neapolitan Quantized Region:us Safetensors Sharded Tensorflow Translation

Model Card on HF 🤗: https://huggingface.co/gdacciaro/neapolitan-translator-v0-gemma4-e4b

Neapolitan Translator V0 Gemma4 E4b Parameters and Internals

LLM Name	Neapolitan Translator V0 Gemma4 E4b
Repository 🤗	https://huggingface.co/gdacciaro/neapolitan-translator-v0-gemma4-e4b
Base Model(s)	Gemma 4 E4b It OptiQ 4bit mlx-community/gemma-4-e4b-it-OptiQ-4bit
Model Size	7.5b
Required VRAM	6.5 GB
Updated	2026-07-28
Maintainer	gdacciaro
Model Type	gemma4
Model Files	3.5 GB: 1-of-2 3.0 GB: 2-of-2
Quantization Type	4bit
Model Architecture	Gemma4ForConditionalGeneration
License	gemma
Transformers Version	5.5.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Neapolitan Translator V0 Gemma4 E4b 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 Neapolitan Translator V0 Gemma4 E4b

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 E4b It OptiQ 4bit	128K / 6.5 GB	4587	28
Gemma 4 E4b It Qat OptiQ 4bit	0K / 6.5 GB	2803	6
... 4 E4B It OBLITERATED Mlx 8Bit	0K / 8 GB	2481	4
...litan Translator V0 Gemma4 E4b	0K / 6.5 GB	312	2
Supergemma4 E4b Abliterated	0K / 15.1 GB	660	79
MedusaGemma E4B	0K / 15.1 GB	19	1

Note: green Score (e.g. "73.2") means that the model is better than gdacciaro/neapolitan-translator-v0-gemma4-e4b.