What are the hardware requirements for LibraMindMini?

LibraMindMini requires approximately 1.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LibraMindMini and how large is it?

LibraMindMini is developed by alby13, a model with 565.4m 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 LibraMindMini?

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

LibraMindMini by alby13 — VRAM 1.1GB

Name: LibraMindMini
Author: alby13

LibraMindMini is an open-source language model by alby13. Features: 565.4m LLM, VRAM: 1.1GB, License: apache-2.0, LLM Explorer Score: 0.31.

Chat Conversational En Function-calling Gated-deltanet Hybrid Linear-attention Muon-optimizer Open-weights Pytorch Region:us Research Roleplay Safetensors

Model Card on HF 🤗: https://huggingface.co/alby13/LibraMindMini

LibraMindMini Parameters and Internals

LLM Name	LibraMindMini
Repository 🤗	https://huggingface.co/alby13/LibraMindMini
Model Size	565.4m
Required VRAM	1.1 GB
Updated	2026-10-11
Maintainer	alby13
Model Files	1.1 GB
Supported Languages	en
License	apache-2.0
Vocabulary Size	32832

Rank the LibraMindMini 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