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| title: Phi-2 Fine-tuned Assistant | |
| emoji: 🤖 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 4.0.0 | |
| app_file: app.py | |
| pinned: false | |
| # Phi-2 Fine-tuned Assistant | |
| This is a fine-tuned version of Microsoft's Phi-2 model on the OpenAssistant dataset. The model has been trained to follow instructions and provide helpful responses. | |
| ## Usage | |
| Simply enter your instruction in the text box and click submit. The model will generate a response based on your input. | |
| ## Examples | |
| - "Explain what is Python in one sentence." | |
| - "How do neural networks learn through backpropagation?" | |
| - "Write a short poem about coding." | |
| ## Model Details | |
| - Base Model: Microsoft Phi-2 | |
| - Training Data: OpenAssistant dataset | |
| - Fine-tuning Method: QLoRA | |
| - Deployment: CPU inference | |
| ## Limitations | |
| - The model runs on CPU, so responses might take a few seconds | |
| - Maximum input length is 256 tokens | |
| - Maximum output length is 128 tokens |