Create README.md

README.md

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+---
+datasets:
+- erfanzar/UltraChat-Mixin
+language:
+- en
+- fr
+- es
+metrics:
+- accuracy
+pipeline_tag: text-generation
+tags:
+- code
+---
+
+# LinguaMatic
+
+LinguaMatic is an advanced AI model designed to handle a wide range of Natural Language Processing (NLP) tasks. With its powerful capabilities, LinguaMatic can assist with tasks such as text classification, sentiment analysis, language translation, question answering, and much more.
+   
+## EasyDel
+
+The model is finetuned Using a custom version of UltraChat on TPU-v4 POD using [EasyDel](https://github.com/erfanzar/EasyDeL)
+
+## Prompting Method
+
+LinguaMatic utilizes the OC prompting method to generate responses. This method, named after the friendly and intelligent llama, enhances the model's ability to engage in meaningful conversations. The `prompt_model` function provided below demonstrates how the llama2 prompting method is implemented:
+
+```python
+def prompt_model(
+  problem:str,
+  system = "You are an exceptionally intelligent coding assistant that consistently delivers accurate and reliable responses to user instructions."
+):
+  prompt = f"<|system|>\n{system}</s>\n<|user|>\n{problem}</s>\n<|assistant|>\n"
+  return prompt
+```
+
+The `prompt_model` function takes a `problem` as input, along with the `system`. It generates a formatted text that includes the system prompt, user inputs, and the current message. This approach allows LinguaMatic to maintain context and provide more coherent and context-aware responses.
+
+Remember this model is instruction-tuned with Coding Problems only and will take a static system input
+
+
+## Contributing
+
+We welcome contributions to enhance LinguaMatic's capabilities and improve its performance. If you encounter any issues or have suggestions for improvement, please feel free to submit a pull request or open an issue on [EasyDel](https://github.com/erfanzar/EasyDeL) GitHub repository.