Run Phi4-Noesis on Ubuntu: Step by Step Installation Guide

Introduction to Phi4-Noesis

What is Phi4?

Phi4 is a 14-billion-parameter language model developed by Microsoft, optimized for complex reasoning tasks like mathematical problem-solving, code generation, and natural language understanding. Trained on high-quality synthetic and curated datasets, it outperforms many models in logical inference and structured analysis.

What is Noesis?

Noesis is a cross-platform data analysis tool renowned for its ability to handle proprietary file formats (e.g., 3D models, game assets). With Python scripting and plugin support, it’s a favorite among developers and modders for reverse engineering and data conversion.

Why Integrate Phi4 with Noesis?

Combining Phi4’s reasoning with Noesis’s data manipulation unlocks advanced analytics for game development, simulations, and machine learning. For example:

• Automate 3D model optimization using natural language queries.
• Generate code snippets to parse custom file formats.

Prerequisites and System Requirements

Ensure your Ubuntu system meets these specifications:

Additional Requirements:

• Git and pip for package management.
• Hugging Face Account (to download model weights).

Installation Guide

Step 1: Update Ubuntu

Start by updating your system packages:

sudo apt update && sudo apt upgrade -y  

Step 2: Install Dependencies

Install essential tools:

sudo apt install python3 python3-pip python3-venv git unzip -y  

Step 3: Set Up Phi4-Noesis

Download Model Weights:

wget https://huggingface.co/dimsavva/phi4-noesis/resolve/main/model_weights.zip  
unzip model_weights.zip -d ./model_weights  

Install Python Packages:

pip install -r requirements.txt  

Create a Virtual Environment:

python3 -m venv venv  
source venv/bin/activate  

Clone the Repository:

git clone https://huggingface.co/dimsavva/phi4-noesis.git  
cd phi4-noesis  

Running Phi4-Noesis

Basic Commands

Quick Think Mode:

python main.py --query "Quick Think: Explain quantum entanglement in simple terms."  

Deep Reasoning Example:

python main.py --query "Calculate the velocity of a falling object after 5 seconds."  

Launch Noesis with Phi4:

python main.py --model ./model_weights/phi4_model.bin  

Advanced Features

• Custom Plugins:
  Extend Noesis with Python scripts (e.g., auto-convert 3D models to glTF).

Batch Processing:

python main.py --batch queries.txt --output results.json  

Troubleshooting Common Issues

Pro Tip: For GPU acceleration, install CUDA drivers and add --device cuda to commands.

Optimizing Performance

• Enable GPU Support: Install cudatoolkit and torch with CUDA.

Reduce Memory Usage: Use 8-bit quantization:

python main.py --quantize int8  

Real-World Use Cases

Example 1: Solving a Complex Algebra Problem

Let’s say you need to solve a complex algebra problem, such as finding the roots of a quadratic equation. Phi4-Noesis can help you with step-by-step reasoning and the correct solution.

Steps to Solve the Problem Using Phi4-Noesis on Ubuntu

Install Ollama: Download the Phi4 model using the following command

ollama pull vanilj/Phi-4

Verify Ollama Installation: This should display the available Ollama commands.

Pull the Phi4 Model: Open a terminal and run the following command to download and install Ollama

curl -fsSL https://ollama.com/install.sh | sh

Run the Phi4 Model:

Start the Phi4 model by running

ollama run vanilj/Phi-4

Interact with the Model:

You can now interact with the model by providing prompts. For example, to solve a quadratic equation ax2+bx+c=0, you can use

ollama run vanilj/Phi-4 -- "Solve the quadratic equation 2x^2 + 3x - 2 = 0"

Example Output

The model will provide a step-by-step solution to the quadratic equation. For example:Copy

To solve the quadratic equation 2x^2 + 3x - 2 = 0, we use the quadratic formula:
x = (-b ± sqrt(b^2 - 4ac)) / (2a)

Here, a = 2, b = 3, and c = -2.

First, calculate the discriminant (D):
D = b^2 - 4ac
D = 3^2 - 4 * 2 * (-2)
D = 9 + 16
D = 25

Now, calculate the roots:
x1 = (-3 + sqrt(25)) / (2 * 2)
x1 = (-3 + 5) / 4
x1 = 2 / 4
x1 = 0.5

x2 = (-3 - sqrt(25)) / (2 * 2)
x2 = (-3 - 5) / 4
x2 = -8 / 4
x2 = -2

The roots of the equation 2x^2 + 3x - 2 = 0 are x1 = 0.5 and x2 = -2.

Benefits of Using Phi4-Noesis

• Step-by-Step Reasoning: Phi4-Noesis provides detailed step-by-step solutions, which are invaluable for learning and understanding complex problems.
• High Performance: Phi4 excels in mathematical reasoning and outperforms many larger models in solving complex problems.
• Versatility: Beyond math, Phi4 can also handle language tasks and reasoning, making it a versatile tool for various applications.

By following these steps, you can leverage Phi4-Noesis to solve complex math problems on your Ubuntu system using Ollama. This setup allows you to get accurate solutions and detailed reasoning, making it a powerful tool for students, educators, and professionals alike.

Example 2: Generating Python Code for Fibonacci Sequence

Let’s say you need to write a Python script to generate the Fibonacci sequence up to a certain number of terms. Phi4-Noesis can help you generate this code quickly and efficiently.

Steps to Generate Code Using Phi4-Noesis on Ubuntu

Install Ollama: Open a terminal and run the following command to download and install Ollama:bashCopy

curl -fsSL https://ollama.com/install.sh | sh

Verify Ollama Installation: This should display the available Ollama commands.

Pull the Phi4 Model: Check if Ollama is installed correctly by running

Run the Phi4 Model: Download the Phi4 model using the following command

ollama pull vanilj/Phi-4

Generate Code Using the Model:

You can now interact with the model by providing prompts. For example, to generate a Python script that continues the Fibonacci sequence, you can use

ollama run vanilj/Phi-4 -- "Generate a Python script to continue the Fibonacci sequence: 1, 1, 2, 3, 5, 8"

Example Output

The model will provide a Python script to continue the Fibonacci sequence. For example:PythonCopy

# Python script to continue the Fibonacci sequence
def fibonacci_sequence(n):
    a, b = 1, 1
    sequence = [a, b]
    for _ in range(n - 2):
        a, b = b, a + b
        sequence.append(b)
    return sequence

# Continue the sequence up to 10 terms
fib_sequence = fibonacci_sequence(10)
print(fib_sequence)

Explanation

• Prompt: The prompt provided to the model is clear and specific, asking it to generate a Python script to continue the Fibonacci sequence.
• Output: The model generates a Python function fibonacci_sequence that computes the Fibonacci sequence up to n terms and prints the sequence.

Benefits of Using Phi4-Noesis for Code Generation

• Efficiency: Phi4-Noesis can quickly generate code, saving you time and effort.
• Accuracy: The model is trained on a diverse set of data, including code, which helps it produce accurate and well-formatted code.
• Customization: You can customize the prompts to generate code for specific tasks, making it a versatile tool for various programming needs.

By following these steps, you can leverage Phi4-Noesis to generate code for various tasks on your Ubuntu system, making your development process more efficient and streamlined.

Alternatives to Phi-4 Noesis

Mathematical Problem-Solving Tools

1. o3-mini-high:
   • This model from OpenAI advances AI reasoning by refining deep problem-solving in coding, mathematics, and complex tasks. It features adaptive thinking time with adjustable reasoning modes (low, medium, high) to optimize performance based on task complexity.
2. Hermes 3:
   • Contains advanced long-term context retention and multi-turn conversation capability, complex roleplaying and internal monologue abilities, and enhanced agentic function-calling. It was created by fine-tuning Llama 3.1 8B, 70B, and 405B, and training on a dataset of primarily synthetically generated responses.
3. Mixtral 8x7B:
   • A high-quality sparse mixture of experts model (SMoE) with open weights. Licensed under Apache 2.0, it outperforms Llama 2 70B on most benchmarks with 6x faster inference.
4. PaLM 2:
   • Google’s next-generation large language model that excels at advanced reasoning tasks, including code and math, classification and question answering, translation and multilingual proficiency, and natural language generation.
5. Amazon Nova Pro:
   • A highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks, including video summarization, Q&A, math, and more.

Code Generation Tools

1. Pixtral Large:
   • Mistral AI’s latest open-weight multimodal model, featuring a powerful 124-billion-parameter architecture. It excels at interpreting documents, charts, and natural images while maintaining top-tier text comprehension.
2. Llama 3.3:
   • The latest in the Llama language model series, with enhanced contextual reasoning, improved generation of language, and advanced fine-tuning capabilities. It excels at tasks such as multilingual communication, technical explanations, creative writing, and natural language understanding.
3. Mistral Large:
   • A state-of-the-art language model developed by Mistral AI, designed for advanced text generation, multilingual reasoning, and complex problem-solving. It supports multiple languages and provides deep linguistic understanding and cultural awareness.
4. GPT-5:
   • OpenAI's upcoming Generative Pretrained Transformer, expected to be even more powerful than GPT-4, with improved reasoning, factual accuracy, and ability to follow directions.
5. IBM® Granite™:
   • An AI family designed from scratch for business applications, ensuring trust and scalability of AI-driven apps. The models are open source and available under a permissive Apache 2.0 license.

These alternatives offer a range of capabilities and can be chosen based on specific needs, such as performance, cost, and ease of use.

Conclusion

Phi4-Noesis on Ubuntu offers unparalleled capabilities for developers and researchers. By following this guide, you can harness its deep reasoning and data analysis tools for tasks ranging from game modding to scientific simulations.

References

1. Run DeepSeek Janus-Pro 7B on Mac: A Comprehensive Guide Using ComfyUI
2. Run DeepSeek Janus-Pro 7B on Mac: Step-by-Step Guide
3. Run DeepSeek Janus-Pro 7B on Windows: A Complete Installation Guide
4. Run Phi-4 Noesis on Mac: Step-by-Step Installation Guide
5. Run Phi-4 Noesis on Windows: Step by Step Installation Guide