What are the hardware requirements for Tiny Llm 50M?

Tiny Llm 50M requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tiny Llm 50M and how large is it?

Tiny Llm 50M is developed by cannizaroo, a model with 50m 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 Tiny Llm 50M?

Tiny Llm 50M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tiny Llm 50M by cannizaroo — VRAM 0.2GB

Name: Tiny Llm 50M
Author: cannizaroo

Tiny Llm 50M is an open-source language model by cannizaroo. Features: 50m LLM, VRAM: 0.2GB, License: mit, LLM Explorer Score: 0.3.

Dataset:huggingfacefw/fineweb-... Educational En Gpt2 Pytorch Region:us Tiny-llm

Model Card on HF 🤗: https://huggingface.co/cannizaroo/tiny-llm-50m

Tiny Llm 50M Parameters and Internals

LLM Name	Tiny Llm 50M
Repository 🤗	https://huggingface.co/cannizaroo/tiny-llm-50m
Model Size	50m
Required VRAM	0.2 GB
Updated	2026-09-27
Maintainer	cannizaroo
Model Files	0.2 GB
Supported Languages	en
License	mit
Padding Token	<\|pad\|>
Vocabulary Size	16384

Rank the Tiny Llm 50M 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