What are the hardware requirements for ModujoMoE?

ModujoMoE requires approximately 18 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ModujoMoE and how large is it?

ModujoMoE is developed by Alexhu1999. 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 ModujoMoE?

ModujoMoE is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ModujoMoE by Alexhu1999 — VRAM 18GB, 32K context

Name: ModujoMoE
Author: Alexhu1999

ModujoMoE is an open-source language model by Alexhu1999. Features: LLM, VRAM: 18GB, Context: 32K.

Conversational Endpoints compatible Language-model Mixture-of-experts Pretrained Qwen4-exp Qwen4 exp text Randomly-initialized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Modujo-AI/ModujoMoE

ModujoMoE Parameters and Internals

LLM Name	ModujoMoE
Repository 🤗	https://huggingface.co/Modujo-AI/ModujoMoE
Required VRAM	18 GB
Updated	2026-09-29
Maintainer	Alexhu1999
Model Type	qwen4_exp_text
Model Files	4.0 GB: 1-of-5 4.0 GB: 2-of-5 4.0 GB: 3-of-5 4.0 GB: 4-of-5 2.0 GB: 5-of-5
Model Architecture	Qwen4ExpForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

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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