What are the hardware requirements for TinyGPT?

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

Who developed TinyGPT and how large is it?

TinyGPT is developed by FlameF0X, a model with 30.7m 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 TinyGPT?

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

TinyGPT by FlameF0X — VRAM 0.1GB

Name: TinyGPT
Author: FlameF0X

TinyGPT is an open-source language model by FlameF0X. Features: 30.7m LLM, VRAM: 0.1GB, License: mit, LLM Explorer Score: 0.31.

Base model:anwgpt/anwgpt4.1-ch... Base model:finetune:anwgpt/anw... Conversational En Endpoints compatible Gpt2 Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/FlameF0X/TinyGPT

TinyGPT Parameters and Internals

LLM Name	TinyGPT
Repository 🤗	https://huggingface.co/FlameF0X/TinyGPT
Base Model(s)	anwgpt/anwgpt4.1-chat anwgpt/anwgpt4.1-chat
Model Size	30.7m
Required VRAM	0.1 GB
Updated	2026-10-22
Maintainer	FlameF0X
Model Type	gpt2
Model Files	0.1 GB 0.1 GB
Supported Languages	en
Model Architecture	GPT2LMHeadModel
License	mit
Model Max Length	1024
Transformers Version	4.57.1
Tokenizer Class	GPT2Tokenizer
Padding Token	PAD_TOKEN
Vocabulary Size	50257
Activation Function	gelu_new
Errors	replace

Rank the TinyGPT 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

Best Alternatives to TinyGPT

Best Alternatives	Context / RAM	Downloads	Likes
Anwgpt4.1 Chat	0K / 0.1 GB	566	2