llm-from-scratch-lab
Lab and python package for building a small GPT model. This code was adapted from the Build a Large Language Model (From Scratch) repository. This lab is intended to be a learning exercise, not a production-ready implementation. It is still very much a work in progress, and in some regards, a little incomplete. However, it is a good starting point for understanding how to build a small GPT model from scratch.
Usage
There is a run_lab.py script that can be used to run the lab. It will send a piece of text to the lab and the lab will perform the preprocessing, tokenization, and model inference steps. The output will be printed to the console.
Package Usage
Install the package using pip:
pip install llm-scratch-lab
Then, you can use the package in your Python scripts:
from llm_scratch_lab.lab import GPTLab
gpt_lab = GPTLab()
print("Running GPT Lab...")
gpt_lab.run("Hello, I am", with_manual_seed=True)
Metadata
Release files for llm-scratch-lab 0.0.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| llm_scratch_lab-0.0.3.tar.gz | 6.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llm_scratch_lab-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.8 kB
Release files / llm_scratch_lab-0.0.3.tar.gz
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Release files / llm_scratch_lab-0.0.3-py3-none-any.whl
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| Size | 8.0 kB |
| Tags | Python 3 |
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