Tiny From-Scratch AI

This is a real neural-network language model trained from random weights. It is intentionally tiny so it can run on an old CPU-only laptop.

There is also a separate GGUF chat path for a much smarter small pretrained model. GGUF is the format used by llama.cpp-compatible models, not this toy character model.

Setup

python -m pip install -r requirements.txt

Build A Bigger Corpus

python build_corpus.py

This combines:

• data/input.txt
• data/extra_seed.txt
• data/chat_memory.txt
• README.md

Train

python train.py --steps 1200

Use the combined corpus:

python train.py --data data/corpus.txt --steps 1200

Big preset:

python train.py --preset big --out runs/big-char-model.pt

Large preset:

python train.py --preset large --out runs/large-char-model.pt

Generate Text

python generate.py --prompt "hello" --tokens 400

Self-Learning Chat

python chat_train.py

Use the combined corpus:

python chat_train.py --data data/corpus.txt

Smart mode:

python chat_train.py --preset small --model runs/fast-char-model.pt --no-self-train

Big preset:

python chat_train.py --preset big --model runs/big-chat-model.pt

Large preset:

python chat_train.py --preset large --model runs/large-chat-model.pt

Commands:

/teach your training sentence here
/quit

The chat script appends each conversation to data/chat_memory.txt and updates the model weights after every turn. By default it also learns from its own replies. This is real learning, but it is tiny and may learn nonsense if its own replies are nonsense.

If you want better output quality, use --no-self-train so it does not learn from its own bad replies. The script will still use retrieved past examples as extra context.

For stronger self-training per message:

python chat_train.py --steps-per-turn 50 --tokens 80 --temperature 0.5

Add Your Own Data

Replace data/input.txt with a larger text file. More text improves results. This model learns characters and style, not real reasoning.

GGUF Smart Chat

If you want a smarter small model, use a llama.cpp-compatible .gguf model with:

python gguf_chat.py --model "models\small-model.gguf"

Double-click:

start_gguf_chat.cmd

Important:

• The current from-scratch character model cannot be converted directly to GGUF.
• GGUF is for supported architectures such as LLaMA-style / llama.cpp-compatible models.
• To make a real small smart model, fine-tune a supported Hugging Face base model and then convert that result to GGUF with llama.cpp tools.
• If you do not already have a .gguf file, you need to download one or export one from a supported model first.

Export And Upload GGUF

If you already have a .gguf file and want to put it on Hugging Face:

python hf_upload_gguf.py --file "path\to\model.gguf" --repo-id "your-username/your-model"

For conversion in Colab from a supported Hugging Face model:

• colab_gguf_export.ipynb

That notebook downloads a supported HF model, converts it with llama.cpp, and uploads the resulting GGUF file to your Hub repo.