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YuxiangChai/AMEX-codebase

⭐ 33 Python added to this list on 2025-04-19 repository created 2024-06-05

The AMEX-codebase repository is a project built upon the LLaMA2-Accessory framework, which is designed to facilitate working with large language models. This repository customizes and extends the original LLaMA2-Accessory by replacing the accessory folder with a modified version provided here. The project includes a model checkpoint hosted on Huggingface, specifically the GUIAgent-InternLM7B model, which can be used for various language model tasks. The repository provides detailed instructions for installation, data preparation, fine-tuning, and inference. For data preparation, users can run a Python script that processes data at different levels (l1, l2, l3, or all) to convert it into a question-answer format suitable for training or evaluation. Fine-tuning instructions are linked to the original LLaMA2-Accessory documentation, guiding users on how to adapt the model to their specific datasets or tasks. Inference can be performed either by following the original framework's instructions or by running a provided shell script, making it straightforward to generate predictions or responses from the fine-tuned model. The repository also showcases new experiments, including screenshots of experimental setups such as screenspot and android control experiments, indicating practical applications or demonstrations of the model's capabilities. Overall, the AMEX-codebase serves as an enhanced toolkit for leveraging the LLaMA2-Accessory framework with additional data processing utilities, fine-tuning capabilities, and inference scripts. It is particularly useful for researchers and developers interested in customizing large language models for specific tasks, supported by clear documentation and example experiments.

https://github.com/YuxiangChai/AMEX-codebase

android-controldata-preparationexperimentsfine-tuninghuggingfaceinferencelarge-language-modelllama2-accessorymodel-checkpointpython-scriptquestion-answer-formatscreenspotshell-script

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