What are the hardware requirements for Queen V1.5?

Queen V1.5 requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Queen V1.5 and how large is it?

Queen V1.5 is developed by Crawlnet, a model with 42.1m 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 Queen V1.5?

Queen V1.5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Queen V1.5 by Crawlnet — VRAM 0.1GB

Name: Queen V1.5
Author: Crawlnet

Queen V1.5 is an open-source language model by Crawlnet. Features: 42.1m LLM, VRAM: 0.1GB, License: apache-2.0, LLM Explorer Score: 0.33.

Base model:crawlnet/queen-v1 Base model:finetune:crawlnet/q... Crawlnet Crypto En From-scratch Nanochat Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Crawlnet/queen-v1.5

Queen V1.5 Parameters and Internals

LLM Name	Queen V1.5
Repository 🤗	https://huggingface.co/Crawlnet/queen-v1.5
Base Model(s)	Queen V1 Crawlnet/queen-v1
Model Size	42.1m
Required VRAM	0.1 GB
Updated	2026-10-08
Maintainer	Crawlnet
Model Files	0.1 GB
Supported Languages	en
License	apache-2.0

Rank the Queen V1.5 capabilities

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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