初始化项目，由ModelHub XC社区提供模型

Model: erfanzar/MaticGPT
Source: Original Platform

README.md

@@ -0,0 +1,51 @@
+---
+datasets:
+- erfanzar/ShareGPT4
+- HuggingFaceH4/no_robots
+language:
+- en
+- fr
+- es
+- zh
+- ru
+metrics:
+- accuracy
+pipeline_tag: text-generation
+license: mit
+---
+
+# 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 llama2 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(
+    message: str,
+    chat_history: None | list[list[str]] = [],
+    system_prompt: str | None = None
+) -> str:
+    do_strip = False
+    texts = [f"<s>[INST] <<SYS>>\n{system_prompt}\n<</SYS>>\n\n"] if system_prompt is not None else ["<s>[INST] "]
+    for user_input, response in chat_history:
+        user_input = user_input.strip() if do_strip else user_input
+        do_strip = True
+        texts.append(f'{user_input} [/INST] {response.strip()} </s><s>[INST] ')
+    message = message.strip() if do_strip else message
+    texts.append(f'{message} [/INST]')
+    return ''.join(texts)
+```
+
+The `prompt_model` function takes a `message` as input, along with the `chat_history` and `system_prompt`. 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.
+
+
+## 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.