AI/ML

    How to Deploy EleutherAI GPT-NeoX-20B on Azure VM with Hugging Face

    EleutherAI GPT-NeoX-20B Model for your Business?

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    Get Your EleutherAI GPT-NeoX-20B AI Model Running in a Day


    Free Installation Guide - Step by Step Instructions Inside!

    Overview

    EleutherAI GPT-NeoX-20B is a powerful AI model for natural language processing and text generation. This guide walks through its deployment on Azure Virtual Machine (VM) using Hugging Face Transformers.

    Step 1: Set Up an Azure VM

    Create an Azure Virtual Machine

    • Go to Azure Portal → Virtual Machines.

    • Click Create VM and configure:

      • Size: Standard_NC6s_v3 (for GPU) or Standard_D8s_v3 (for CPU)

      • OS: Ubuntu 20.04 LTS

      • Storage: 100GB SSD (recommended)

    • Enable port 22 (SSH) and port 5000 for API access.

    Connect to Your VM via SSH

    Once deployed, connect to the instance:

    ssh -i your-key.pem azure-user@your-vm-ip 

    Step 2: Install Required Dependencies

    Update System and Install Packages

    sudo apt update && sudo apt upgrade -ysudo apt install -y python3-pip git

     

    Set Up Virtual Environment and Install Libraries

    pip3 install virtualenvvirtualenv gpt-neox-envsource gpt-neox-env/bin/activatepip install torch transformers flask 

    Step 3: Download GPT-NeoX-20B Model

    Create a Python script load_model.py:

    from transformers import AutoModelForCausalLM, AutoTokenizermodel_name = "EleutherAI/gpt-neox-20b"tokenizer = AutoTokenizer.from_pretrained(model_name)model = AutoModelForCausalLM.from_pretrained(model_name)print("GPT-NeoX-20B model loaded successfully!")

     

    Run the script:

    python load_model.py 

    Step 4: Deploy as an API Server

    Create server.py:

    from flask import Flask, request, jsonifydef generate_text(prompt):    inputs = tokenizer(prompt, return_tensors="pt")    output = model.generate(**inputs, max_length=200)    return tokenizer.decode(output[0])app = Flask(__name__)@app.route("/generate", methods=["POST"])def generate():    data = request.json    response = generate_text(data["prompt"])    return jsonify({"response": response})if __name__ == "__main__":    app.run(host="0.0.0.0", port=5000)

     

    Run the server:

    python server.py 

    Step 5: Accessing the API

    Your API is now available at:

    http://<YOUR-AZURE-IP>:5000/generate

    Send a POST request to test:

    {    "prompt": "What are the key principles of deep learning?"} 

    Conclusion

    You have successfully deployed GPT-NeoX-20B on Azure VM, making it accessible as an API using Hugging Face Transformers.

    Ready to transform your business with our technology solutions? Contact Us  today to Leverage Our AI/ML Expertise. 

    Experts in AI, ML, and automation at OneClick IT Consultancy

    AI Force

    AI Force at OneClick IT Consultancy pioneers artificial intelligence and machine learning solutions. We drive COE initiatives by developing intelligent automation, predictive analytics, and AI-driven applications that transform businesses.

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