What are the hardware requirements for Crowd V1?

Crowd V1 requires approximately 0.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Crowd V1 and how large is it?

Crowd V1 is developed by Vxtzq. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Crowd V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Name: Crowd V1
Author: Vxtzq

Crowd V1 is an open-source language model by Vxtzq. Features: LLM, VRAM: 0.7GB, License: mit, LLM Explorer Score: 0.36.

LLM Name	Crowd V1
Repository 🤗	https://huggingface.co/Vxtzq/Crowd-v1
Required VRAM	0.7 GB
Updated	2026-10-28
Maintainer	Vxtzq
Model Files	0.7 GB 1.4 GB 1.3 GB 2.6 GB
Supported Languages	ia
License	mit

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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