What are the hardware requirements for GPT U 20M Instruct?

GPT U 20M Instruct requires a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GPT U 20M Instruct and how large is it?

GPT U 20M Instruct is developed by DedeProGames, a model with 20m 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 GPT U 20M Instruct?

GPT U 20M Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GPT U 20M Instruct by DedeProGames — 1K context

Name: GPT U 20M Instruct
Author: DedeProGames

GPT U 20M Instruct is an open-source language model by DedeProGames. Features: 20m LLM, Context: 1K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.33.

Base model:dedeprogames/gpt-u-... Base model:finetune:dedeprogam... Conversational Dataset:huggingfacetb/smol-smo... En Endpoints compatible Gpt-u Instruct Llama Region:us Safetensors Sft Tiny-lm

Model Card on HF 🤗: https://huggingface.co/DedeProGames/GPT-U-20M-Instruct

GPT U 20M Instruct Parameters and Internals

LLM Name	GPT U 20M Instruct
Repository 🤗	https://huggingface.co/DedeProGames/GPT-U-20M-Instruct
Base Model(s)	GPT U 20M DedeProGames/GPT-U-20M
Model Size	20m
Required VRAM	0 GB
Updated	2026-10-21
Maintainer	DedeProGames
Model Type	llama
Instruction-Based	Yes
Model Files	0.0 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Transformers Version	4.53.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	16384
Torch Data Type	bfloat16

Rank the GPT U 20M Instruct 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

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