tait-test-demo

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: tait-test-model.npz (105454 bytes, sha256 2d31921c7c48f2ec...)
Vocab size: 403
d_model: 16 | d_ff: 32 | block_size: 23
TAIT version: 2.3.0
Training data: demo.jsonl
Training examples: 8
Epochs: 2
Final training loss: 6.3599
Validation loss: 6.3232

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 tait-test-model.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

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