What are the hardware requirements for NorthCUA Pro NVFP4A16?

NorthCUA Pro NVFP4A16 requires approximately 84.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed NorthCUA Pro NVFP4A16 and how large is it?

NorthCUA Pro NVFP4A16 is developed by willyb23, a model with 396.8b 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 NorthCUA Pro NVFP4A16?

NorthCUA Pro NVFP4A16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NorthCUA Pro NVFP4A16 by willyb23 — VRAM 84.6GB

Name: NorthCUA Pro NVFP4A16
Author: willyb23

NorthCUA Pro NVFP4A16 is an open-source language model by willyb23. Features: 396.8b LLM, VRAM: 84.6GB, License: apache-2.0, LLM Explorer Score: 0.29.

8-bit Agents Base model:beipo-ai/northcua-p... Base model:quantized:beipo-ai/... Compressed-tensors Computer-use Conversational Endpoints compatible Fp4 Image-text-to-text Northcua Nvfp4 Qwen3 5 moe Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/willyb23/NorthCUA-Pro-NVFP4A16

NorthCUA Pro NVFP4A16 Parameters and Internals

LLM Name	NorthCUA Pro NVFP4A16
Repository 🤗	https://huggingface.co/willyb23/NorthCUA-Pro-NVFP4A16
Base Model(s)	NorthCUA Pro beipo-ai/NorthCUA-Pro
Model Size	396.8b
Required VRAM	84.6 GB
Updated	2026-11-11
Maintainer	willyb23
Model Type	qwen3_5_moe
Model Files	3.2 GB: 1-of-122 2.4 GB: 2-of-122 1.5 GB: 3-of-122 2.4 GB: 4-of-122 1.5 GB: 5-of-122 2.4 GB: 6-of-122 1.4 GB: 7-of-122 2.4 GB: 8-of-122 1.5 GB: 9-of-122 2.4 GB: 10-of-122 1.5 GB: 11-of-122 2.4 GB: 12-of-122 1.5 GB: 13-of-122 2.4 GB: 14-of-122 1.4 GB: 15-of-122 2.4 GB: 16-of-122 1.5 GB: 17-of-122 2.4 GB: 18-of-122 1.5 GB: 19-of-122 2.4 GB: 20-of-122 1.5 GB: 21-of-122 2.4 GB: 22-of-122 1.4 GB: 23-of-122 2.4 GB: 24-of-122 1.5 GB: 25-of-122 2.4 GB: 26-of-122 1.5 GB: 27-of-122 2.4 GB: 28-of-122 1.5 GB: 29-of-122 2.4 GB: 30-of-122 1.4 GB: 31-of-122 2.4 GB: 32-of-122 1.5 GB: 33-of-122 2.4 GB: 34-of-122 1.5 GB: 35-of-122 2.4 GB: 36-of-122 1.5 GB: 37-of-122 2.4 GB: 38-of-122 1.4 GB: 39-of-122 2.4 GB: 40-of-122 1.5 GB: 41-of-122 2.4 GB: 42-of-122 1.5 GB: 43-of-122
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Transformers Version	5.20.2

Rank the NorthCUA Pro 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 NorthCUA Pro NVFP4A16

Best Alternatives	Context / RAM	Downloads	Likes
Nex N2.5 Pro	0K / 150.6 GB	30289	623
NorthCUA Pro	0K / 279.9 GB	517	13
Nex N2 Pro	0K / 288.5 GB	1762	374

Note: green Score (e.g. "73.2") means that the model is better than willyb23/NorthCUA-Pro-NVFP4A16.