What are the hardware requirements for Minimind Dense 64M Mini Pretrain?

Minimind Dense 64M Mini Pretrain requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Minimind Dense 64M Mini Pretrain and how large is it?

Minimind Dense 64M Mini Pretrain is developed by yanpeng051821, a model with 64m 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 Minimind Dense 64M Mini Pretrain?

Minimind Dense 64M Mini Pretrain is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Minimind Dense 64M Mini Pretrain by yanpeng051821 — VRAM 0.3GB

Name: Minimind Dense 64M Mini Pretrain
Author: yanpeng051821

Minimind Dense 64M Mini Pretrain is an open-source language model by yanpeng051821. Features: 64m LLM, VRAM: 0.3GB, LLM Explorer Score: 0.31.

Custom-runtime Dataset:jingyaogong/minimind d... From-scratch Minimind Region:us Research-checkpoint Safetensors

Model Card on HF 🤗: https://huggingface.co/yanpeng051821/minimind-dense-64m-mini-pretrain

Minimind Dense 64M Mini Pretrain Parameters and Internals

LLM Name	Minimind Dense 64M Mini Pretrain
Repository 🤗	https://huggingface.co/yanpeng051821/minimind-dense-64m-mini-pretrain
Model Size	64m
Required VRAM	0.3 GB
Updated	2026-11-03
Maintainer	yanpeng051821
Model Files	0.3 GB

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