AI/ML

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

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 -y
sudo apt install -y python3-pip git

Set Up Virtual Environment and Install Libraries

pip3 install virtualenv
virtualenv gpt-neox-env
source gpt-neox-env/bin/activate

pip install torch transformers flask
 

Step 3: Download GPT-NeoX-20B Model

Create a Python script load_model.py:

from transformers import AutoModelForCausalLM, AutoTokenizer
model_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, jsonify
def 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.

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