metadata
license: cc0-1.0
datasets:
- Navanjana/Gutenberg_books
- aisuko/simple_english_wikipedia
- stas/openwebtext-10k
- RaiBP/openwebtext2-first-30-chunks-lang-detect-raw-output
- lucadiliello/bookcorpusopen
- deepmind/pg19
language:
- en
pipeline_tag: text-generation
library_name: transformers
tags:
- Self
model-index:
- name: AaI 1111
results:
- task:
type: text-classification
name: Multiple Choice
dataset:
name: ai2_arc
type: ai2_arc
config: ARC-Easy
split: test
metrics:
- name: Accuracy
type: accuracy
value: 17.85
Safety Concerns
This model has not passed any safety tuning. We are not responsible for any damages.
AaI Introduction
AaI is a model fully made by 16dvnk on his NVIDIA Geforce RTX 4080 Laptop GPU. He trained it for 11 hours straight, and after some tuning, has made this model. The model is made from scratch. He claims the process was a pain, and has taken lots of effort. He named it AaI and not AAI or other variations since he thinks it is an “eyesore”.
Architecture
The model uses a Generative pre-trained transformer architecture.
Technical Specifications
| AaI Specs | Details |
|---|---|
| Creator | 16dvnk |
| Hardware | NVIDIA GeForce RTX 4080 Laptop GPU |
| Training Duration | 21 hours |
| Framework | PyTorch |
| Parameter Count | 14 million |
| Model Type | Generative pre-trained transformer |
| Initial Training Year | 2025 |
| Stable Release Status | No stable release as of December 2025 |
Evaluation Results
The model was evaluated on the ARC-Easy and AaI-sbench benchmark (test split).
| Dataset | Split | Metric | Value |
|---|---|---|---|
| ARC-Easy | test | Accuracy | 17.85% |
| AaI-sbench | test | Accuracy | 60.00% |
Notes
• All current releases have 14M parameters, which is considered small.
• The model was trained using PyTorch.
• As of December 2025, there is no stable release of AaI.