What are the hardware requirements for Small Tiny V1?

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

Who developed Small Tiny V1 and how large is it?

Small Tiny V1 is developed by lilmeaty, a model with 13m 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 Small Tiny V1?

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

Small Tiny V1 by lilmeaty — VRAM 0.1GB

Name: Small Tiny V1
Author: lilmeaty

Small Tiny V1 is an open-source language model by lilmeaty. Features: 13m LLM, VRAM: 0.1GB, LLM Explorer Score: 0.17.

Arxiv:1910.09700 Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/lilmeaty/small_tiny_v1

Small Tiny V1 Parameters and Internals

LLM Name	Small Tiny V1
Repository 🤗	https://huggingface.co/lilmeaty/small_tiny_v1
Model Name	arnir0/Tiny-LLM
Model Size	13m
Required VRAM	0.1 GB
Updated	2026-07-18
Maintainer	lilmeaty
Model Files	0.1 GB
Model Architecture	AutoModelForCausalLM
Model Max Length	2048
Tokenizer Class	LlamaTokenizer
Padding Token	</s>

Rank the Small Tiny V1 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

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Note: green Score (e.g. "73.2") means that the model is better than lilmeaty/small_tiny_v1.