What are the hardware requirements for MaleCNS?

MaleCNS requires approximately 2.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MaleCNS and how large is it?

MaleCNS is developed by QuixiAI, a model with 726.2m 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 MaleCNS?

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

MaleCNS by QuixiAI — VRAM 2.7GB

Name: MaleCNS
Author: QuixiAI

MaleCNS is an open-source language model by QuixiAI. Features: 726.2m LLM, VRAM: 2.7GB, License: cc-by-4.0, LLM Explorer Score: 0.33.

Connectome Custom code Doi:10.57967/hf/10410 Drosophila Feature-extraction Fruit-fly Graph Malecns Neuroscience Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/QuixiAI/MaleCNS

MaleCNS Parameters and Internals

LLM Name	MaleCNS
Repository 🤗	https://huggingface.co/QuixiAI/MaleCNS
Model Size	726.2m
Required VRAM	2.7 GB
Updated	2026-09-16
Maintainer	QuixiAI
Model Type	malecns
Model Files	2.7 GB
Model Architecture	MaleCNSConnectome
License	cc-by-4.0

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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