README.md

---

license: apache-2.0

Datasets:

• AIAT/Kiddee-data1234
• https://huggingface.co/AIAT/Kiddee-data1234

language:

• th
• en

metrics:

• accuracy 0.53
• response time 2.440

pipeline_tag:

• table-question-answering

tags:

• OpenthaiGPT-13b
• LLMModel

Large Language Model (LLM) README

Overview

This repository contains the implementation and resources for a Large Language Model (LLM) based on OpenAI's GPT architecture. The model is trained on a diverse corpus of text data and can generate human-like text given a prompt.

Features

• Text Generation: The LLM can generate coherent and contextually relevant text given a prompt.
• Fine-tuning: This repository provides scripts and resources for fine-tuning the model on specific tasks or domains.
• API Integration: Instructions and resources for integrating the LLM into applications through APIs.

Installation

To use the LLM, follow these steps:

1. Clone this repository: git clone [repository-url]
2. Install the required dependencies: pip install -r requirements.txt
3. Download the pre-trained model weights from [link] and place them in the models directory.

Usage

Generating Text

To generate text using the pre-trained model, run:

library_name: adapter-transformers