Create README.md

README.md

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+---
+base_model: unsloth/llama-2-7b-chat-bnb-4bit
+datasets:
+  - piotr25691/ultrachat-200k-alpaca
+language:
+  - en
+library_name: peft
+license: apache-2.0
+pipeline_tag: text-generation
+---
+
+# Xander
+Welcome to the Xander Conversational Model repository! This model has been fine-tuned from the unsloth/llama-2-7b-chat-bnb-4bit base on the piotr25691/ultrachat-200k-alpaca dataset to enhance its conversational abilities. It is designed to provide more natural, engaging, and contextually aware responses.
+
+# Introduction
+The Xander Conversational Model is an advanced NLP model aimed at improving interactive text generation. By leveraging the strengths of unsloth/llama-2-7b-chat-bnb-4bit and fine-tuning it with the extensive piotr25691/ultrachat-200k-alpaca dataset, the model is adept at generating coherent and contextually relevant conversations.
+
+# Features
+- Improved Conversational Flow: Generates more natural and engaging responses.
+- Context Awareness: Maintains context over multiple interactions.
+- Customizable: Can be further fine-tuned for specific applications or industries.
+
+# Dataset
+The model was fine-tuned on the piotr25691/ultrachat-200k-alpaca dataset, which consists of 200,000 high-quality conversational pairs. This dataset helps the model to understand and generate more nuanced and contextually appropriate responses.
+
+# Performance
+The model has shown significant improvements in generating more human-like responses compared to its base. Here are some key metrics:
+
+- Perplexity: Lower perplexity indicating better language modeling performance.
+- Response Coherence: Improved coherence in multi-turn conversations.
+- Engagement: Higher user satisfaction in interactive scenarios.