TroglodyteDerivations/GPT_OSS_120B_Dash_Interactive_Dashboard

Model Card: GPT-OSS-Dash-App

Model Overview

This repository contains a comprehensive Dash web application interface for the MLX-GPT-OSS-120B model, created with assistance from DeepSeek 3.1. The dashboard provides an intuitive way to interact with the powerful 120-billion parameter model through a responsive web interface.

Model Details

• Model Name: MLX-GPT-OSS-120B
• Parameters: 120 Billion
• Framework: MLX (Apple Silicon Optimized)
• Interface: Dash Web Framework
• Creator: Developed with assistance from DeepSeek 3.1

Repository Structure

gpt-oss-dash-app/
├── app.py
├── requirements.txt
├── find_max_tokens.py
├── assets/
│   ├── style.css
│   └── custom.js
└── utils/
    └── model_utils.py

Application Architecture

graph TB
    A[User Interface] --> B[Dash Application]
    B --> C[Model Utilities]
    C --> D[MLX-GPT-OSS-120B Model]
    
    subgraph "Frontend Components"
        E[Input Panel]
        F[Output Display]
        G[Analytics Dashboard]
    end
    
    subgraph "Backend Processing"
        H[Text Generation]
        I[Performance Tracking]
        J[History Management]
    end
    
    E --> B
    B --> F
    B --> G
    H --> C
    I --> C
    J --> C

Key Features

1. Interactive Web Interface

• Clean, responsive design using Dash and Bootstrap
• Real-time text generation with adjustable parameters
• Comprehensive model information display

2. Advanced Generation Controls

• Adjustable temperature (0.1-1.0) for creativity control
• Configurable token length (10-500 tokens)
• Real-time generation statistics

3. Analytics Dashboard

• Response time tracking
• Output length distribution
• Temperature usage statistics
• Historical generation tracking

4. Model Integration

• Direct integration with MLX-GPT-OSS-120B model
• Fallback simulation mode for testing
• Comprehensive error handling

File Descriptions

app.py

The main Dash application that creates the web interface, handles user interactions, and coordinates model inference.

graph LR
    A[User Input] --> B[Dash Callbacks]
    B --> C[Model Handler]
    C --> D[GPT-OSS-120B Model]
    D --> E[Response Processing]
    E --> F[Output Display]
    E --> G[Analytics Update]
    F --> H[User Interface]
    G --> H

model_utils.py

The core model interaction module that handles:

• Model loading and initialization
• Text generation with temperature control
• Error handling and fallback mechanisms
• Model information reporting

graph TB
    A[ModelUtils Class] --> B[Load Model]
    A --> C[Generate Text]
    A --> D[Get Model Info]
    
    C --> E[MLX Generation]
    C --> F[Alternative Generation]
    C --> G[Simulated Response]
    
    E --> H[Temperature Processing]
    E --> I[Token Sampling]

find_max_tokens.py

Utility script for testing the model's maximum token capacity and temperature functionality.

requirements.txt

Lists all Python dependencies needed to run the application.

Capabilities

The Dash/MLX-GPT-OSS-120B integration enables:

1. High-Quality Text Generation: Produce human-like text across various domains
2. Parameter Control: Fine-tune generation with temperature and token limits
3. Performance Monitoring: Track response times and generation metrics
4. History Management: Maintain a record of all generations
5. Export Functionality: Save and copy generated content

Usage Examples

• Content creation and brainstorming
• Technical explanations and documentation
• Creative writing assistance
• Educational tool for AI demonstration
• Research prototyping and testing

Installation

1. Clone the repository
2. Install dependencies: pip install -r requirements.txt
3. Place the MLX-GPT-OSS-120B model in the specified path
4. Run the application: python app.py

Limitations

• Requires significant computational resources (Apple Silicon recommended)
• Model loading time may be substantial due to 120B parameters
• Maximum token length may be constrained by hardware capabilities

Ethical Considerations

This interface is designed for responsible AI use with appropriate safeguards. Users should ensure generated content aligns with ethical guidelines and applicable regulations.

Citation

If you use this dashboard in your work, please acknowledge the MLX-GPT-OSS-120B model and the DeepSeek 3.1 assistance in creating this interface.

GPT-OSS-Dash-App: A web interface for MLX-GPT-OSS-120B.
Created with assistance from DeepSeek 3.1.