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metadata
license: mit
library_name: tait
tags:
- tait
- numpy
- on-device
- text-generation
tinybili
A small MiniGPT model trained with TAIT, a NumPy-only toolkit for training AI on phones and resource-constrained devices.
Model details
- Format: TAIT
.npz(NumPy weights + BPE tokenizer, readable by the KAIT runner) - File:
tinyGPT0.1.npz(1072206 bytes, sha2561a2b1c51ba9b4f01...) - Vocab size: 1003
- d_model: 64 | d_ff: 128 | block_size: 64
- TAIT version: 2.3.0
- Training data: mixed-1.jsonl
- Training examples: 6666
- Epochs: 50
- Final training loss: 0.4900
- Validation loss: 1.0367
How to use it
pip install "tait[publish]" # publish support; training itself needs only NumPy
# Download the model, then chat with it locally:
tait chat --model tinyGPT0.1.npz
You can also load the same .npz file in KAIT, the Android
runner for TAIT models, by pasting this repository link there.
Limitations
This is a tiny model trained from scratch on a small dataset. It may hallucinate, repeat itself, or answer off-topic. Treat its output as an experiment, not as a factual source.
Source
Trained with TAIT: https://github.com/muzammilsoft/tait