Create README.md

README.md

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+---
+license: apache-2.0
+base_model:
+- openai/gpt-oss-120b
+- deepseek-ai/DeepSeek-V3.1
+tags:
+- chat-interface
+- gpt-oss-120b-chat-interface
+---
+# Model Card: GPT-OSS-120B Chat Interface
+
+```markdown
+---
+license: apache-2.0
+tags:
+- mlx
+- chat-ui
+- local-ai
+- gpt
+- python
+- pyqt5
+---
+
+# GPT-OSS-120B Chat Interface
+
+## Model Description
+
+This is a modern, feature-rich chat interface for the GPT-OSS-120B model running on Apple MLX framework. The interface provides a user-friendly way to interact with the 120-billion parameter open-source language model locally on Apple Silicon hardware.
+
+## Model Overview
+
+- **Model Name:** GPT-OSS-120B (4-bit quantized)
+- **Framework:** Apple MLX
+- **Interface:** PyQt5-based desktop application
+- **Hardware Requirements:** Apple Silicon with sufficient RAM (recommended: M3 Ultra with 512GB RAM)
+
+## Features
+
+- 🎨 Modern, responsive UI with PyQt5
+- 💬 Real-time chat interface with message history
+- ⚡ Local inference on Apple Silicon
+- 📝 Markdown support with syntax highlighting
+- 💾 Conversation export functionality
+- ⚙️ Adjustable generation parameters
+- 🎯 Code block detection and formatting
+- 📊 Performance monitoring
+
+## UI Architecture Diagram
+
+```
+┌─────────────────────────────────────────────────────────────────────────┐
+│                              MAIN WINDOW                                │
+├───────────────────────────────┬─────────────────────────────────────────┤
+│           LEFT PANEL          │              CHAT AREA                  │
+│                               │                                         │
+│  ┌─────────────────────────┐  │  ┌───────────────────────────────────┐  │
+│  │      MODEL INFO         │  │  │                                   │  │
+│  │  - Model details        │  │  │  ┌─────────────────────────────┐  │  │
+│  │  - Hardware specs       │  │  │  │ CHAT MESSAGE (User)         │  │  │
+│  │  - Performance metrics  │  │  │  │ - Avatar + timestamp        │  │  │
+│  │                         │  │  │  │ - Formatted content         │  │  │
+│  └─────────────────────────┘  │  │  └─────────────────────────────┘  │  │
+│                               │  │                                   │  │
+│  ┌─────────────────────────┐  │  │  ┌─────────────────────────────┐  │  │
+│  │   GENERATION SETTINGS   │  │  │  │ CHAT MESSAGE (Assistant)    │  │  │
+│  │  - Max tokens control   │  │  │  │ - Avatar + timestamp        │  │  │
+│  │                         │  │  │  │ - Formatted content         │  │  │
+│  └─────────────────────────┘  │  │  │ - Generation time           │  │  │
+│                               │  │  └─────────────────────────────┘  │  │
+│                               │  │                 ...               │  │
+│  ┌─────────────────────────┐  │  │                                   │  │
+│  │    CONVERSATION TOOLS   │  │  │  ┌─────────────────────────────┐  │  │
+│  │  - Clear conversation   │  │  │  │        INPUT AREA           │  │  │
+│  │  - Export chat          │  │  │  │ - Multi-line text input     │  │  │
+│  │                         │  │  │  │ - Character counter         │  │  │
+│  └─────────────────────────┘  │  │  │ - Send button               │  │  │
+│                               │  │  └─────────────────────────────┘  │  │
+│  ┌─────────────────────────┐  │  │                                   │  │
+│  │      STATUS INDICATOR   │  │  │                                   │  │
+│  │  - Loading/ready state  │  │  │                                   │  │
+│  │                         ��  │  │                                   │  │
+│  └─────────────────────────┘  │  │                                   │  │
+│                               │  │                                   │  │
+└───────────────────────────────┴───────────────────────────────────────┘
+```
+
+## Development
+
+This interface was developed using PyQt5 and integrates with the MLX-LM library for efficient inference on Apple Silicon. The UI features a responsive design with:
+
+1. **Threaded Operations:** Model loading and text generation run in background threads
+2. **Custom Widgets:** Specialized chat message widgets with formatting
+3. **Syntax Highlighting:** Code detection and highlighting in responses
+4. **Modern Styling:** Clean, professional interface with appropriate spacing and colors
+
+## DeepSeek Involvement
+
+The `gpt_oss_ui.py` Python script was created with assistance from DeepSeek's AI models, which helped design the architecture, implement the PyQt5 interface components, and ensure proper integration with the MLX inference backend.
+
+## Usage
+
+1. Install requirements: `pip install PyQt5 markdown mlx-lm`
+2. Run the application: `python gpt_oss_ui.py`
+3. Wait for model to load (first time will download the model)
+4. Start chatting with the GPT-OSS-120B model
+
+## Performance
+
+On an M3 Ultra with 512GB RAM:
+- Model load time: ~2-3 minutes (first time)
+- Inference speed: ~95 tokens/second
+- Memory usage: Optimized with 4-bit quantization
+
+## Limitations
+
+- Requires significant RAM for the 120B parameter model
+- Currently only supports Apple Silicon hardware
+- Model loading can be time-consuming on first run
+
+## Ethical Considerations
+
+This interface is designed for local use, ensuring privacy as all processing happens on-device. Users should still follow responsible AI practices when using the model.
+```