task 13 Qwen Qwen2.5 3 B Instruct

Introduction

The TASK-13-QWEN-QWEN2.5-3B-INSTRUCT model is a machine learning model that appears to be part of the Hugging Face model repository. Detailed information about the model's development, funding, and language capabilities is not provided.

Architecture

The architecture details of the TASK-13-QWEN-QWEN2.5-3B-INSTRUCT model remain unspecified. The model is associated with the PEFT library, but additional specifics on its structure and objectives are not available.

Training

Training Data

Information about the data used for training the model is not provided.

Training Procedure

The document does not detail the preprocessing steps, training hyperparameters, or training regime utilized for this model.

Evaluation

There is no information provided on the testing data, factors, metrics, or results related to the evaluation of this model.

Guide: Running Locally

To run the TASK-13-QWEN-QWEN2.5-3B-INSTRUCT model locally, follow these general steps:

1. Set Up Environment: Ensure you have Python installed and set up a virtual environment.
2. Install Dependencies: Use pip to install the required libraries, such as the PEFT library.
3. Download Model: Clone the model repository from Hugging Face or download the model files directly.
4. Load Model: Use a supported machine learning framework to load the model.
5. Inference: Run inference using the model on your desired input data.

Cloud GPUs

For efficient performance, consider utilizing cloud GPU services such as AWS EC2, Google Cloud Platform, or Azure to handle the computational demands of running the model.

License

The license information for the TASK-13-QWEN-QWEN2.5-3B-INSTRUCT model is not specified. Users should check the model repository on Hugging Face for any licensing details before use.