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metadata
title: Phi-2 Fine-tuned Chat Assistant
emoji: 🤖
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.44.1
app_file: app.py
pinned: false
license: mit
Phi-2 Fine-tuned Chat Assistant
This Space hosts a fine-tuned version of Microsoft's Phi-2 model using QLoRA (Quantized Low-Rank Adaptation). The model has been trained on the OpenAssistant dataset to improve its conversational abilities.
Model Details
- Base Model: Microsoft Phi-2
- Training Method: QLoRA (4-bit quantization)
- Dataset: OpenAssistant Conversations Dataset
- Fine-tuning Parameters:
- LoRA rank: 16
- LoRA alpha: 32
- Dropout: 0.1
- Target modules: q_proj, v_proj
Usage
Simply type your message in the input box and press Enter. The model will generate a response based on your input. You can also try the example prompts provided below the chat interface.
Features
- Interactive chat interface
- Real-time response generation
- Example prompts for quick testing
- Configurable generation parameters (temperature, top-p)
Limitations
- The model may occasionally generate incorrect or inconsistent responses
- Response generation time may vary depending on the input length and server load
- The model's knowledge is limited to its training data
License
This Space uses the Microsoft Phi-2 model which is subject to its original license. The fine-tuning additions are provided under the MIT License.