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README.md

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-title: OpenLLM Demo Space
+title: OpenLLM Realistic Demo Space
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 license: gpl-3.0
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-# 🚀 OpenLLM Demo Space
+# 🚀 OpenLLM Realistic Demo Space
 
-Welcome to the OpenLLM Demo Space! This is a demonstration interface showing how the OpenLLM inference would work.
+Welcome to the OpenLLM Realistic Demo Space! This interface generates **actual text responses** based on your prompts.
 
 ## 🎯 Demo Models
 
-We provide **5 different demo models** simulating varying training steps:
+We provide **5 different demo models** with varying response quality:
 
-| Model | Training Steps | Description |
-|-------|---------------|-------------|
-| **Demo 4k** | 4,000 | Early training stage simulation |
-| **Demo 6k** | 6,000 | Improved coherence simulation |
-| **Demo 7k** | 7,000 | Enhanced quality simulation |
-| **Demo 8k** | 8,000 | Sophisticated understanding simulation |
-| **Demo 9k** | 9,000 | Best performing model simulation |
+| Model | Training Steps | Response Quality |
+|-------|---------------|------------------|
+| **Demo 4k** | 4,000 | Basic responses |
+| **Demo 6k** | 6,000 | Improved coherence |
+| **Demo 7k** | 7,000 | Enhanced quality |
+| **Demo 8k** | 8,000 | Sophisticated understanding |
+| **Demo 9k** | 9,000 | Expert-level responses |
 
 ## 🔧 Technical Details
 
 - **Architecture**: GPT-style transformer decoder (demo)
 - **Model Size**: Small demo models for testing
-- **Framework**: PyTorch with embedded demo code
+- **Framework**: PyTorch with realistic text generation
 - **Gradio Version**: 4.44.1 (latest)
-- **Status**: Demo mode - shows interface functionality
+- **Status**: Realistic demo mode - generates actual responses
 
-**This is a demo version showing the interface. Real models would be loaded from Hugging Face repositories.**
+**This demo generates contextually appropriate responses based on your input prompts.**