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README.md

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+## Model Details
+
+Hermes-2-Pro-Llama-3-8B is an upgraded version of the original Hermes model, designed for enhanced conversational capabilities and function calling. It excels in generating structured outputs and has been fine-tuned on a diverse dataset, including the OpenHermes 2.5 dataset. The model is particularly adept at handling complex queries and providing coherent responses.
+
+Llama3-8B-Chinese-Chat, on the other hand, is specifically fine-tuned for Chinese and English users, focusing on roleplaying and tool-using capabilities. It has been trained on a significantly larger dataset, improving its performance in various tasks, including math and function calling.
+
+## Description
+
+The merged model combines the strengths of both parent models, providing a robust solution for multilingual text generation and understanding. It leverages the advanced generative capabilities of Hermes-2-Pro while incorporating the specialized training of Llama3-8B-Chinese-Chat, making it suitable for a wide range of applications, from casual conversation to structured data generation.
+
+## Use Cases
+
+- **Conversational AI**: Engage users in natural dialogues across multiple languages.
+- **Function Calling**: Execute predefined functions based on user queries, enhancing interactivity.
+- **Structured Outputs**: Generate JSON or other structured formats for data processing tasks.
+- **Roleplaying**: Simulate characters or scenarios in both English and Chinese.
+
 ## Model Features
 
-This fusion model combines the advanced conversational capabilities of [NousResearch/Hermes-2-Pro-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B) with the specialized Chinese language proficiency of [shenzhi-wang/Llama3-8B-Chinese-Chat](https://huggingface.co/shenzhi-wang/Llama3-8B-Chinese-Chat). The resulting model excels in multilingual text generation, providing nuanced responses in both English and Chinese. It is particularly effective in tasks requiring contextual understanding, role-playing, and structured outputs.
+- **Multilingual Support**: Capable of understanding and generating text in both English and Chinese.
+- **Enhanced Context Understanding**: Improved ability to maintain context over longer conversations.
+- **Function Calling**: Supports advanced function calling capabilities for dynamic interactions.
+- **Structured Output Generation**: Can produce outputs in structured formats like JSON.
 
 ## Evaluation Results
 
 ### Hermes-2-Pro-Llama-3-8B
 - Scored 90% on function calling evaluation.
-- Scored 84% on structured JSON output evaluation.
+- Achieved 84% on structured JSON output evaluation.
 
 ### Llama3-8B-Chinese-Chat
-- Demonstrated superior performance in Chinese language tasks, surpassing ChatGPT and matching GPT-4 in various benchmarks.
+- Demonstrated superior performance in Chinese language tasks, surpassing previous models in various benchmarks.
 
 ## Limitations
 
-While the merged model inherits the strengths of both parent models, it may also carry over some limitations. For instance, the model may exhibit biases present in the training data of both parent models, particularly in terms of cultural context and language nuances. Additionally, the model's performance may vary depending on the complexity of the task and the language used, with potential challenges in generating coherent responses in less common scenarios.
+While the merged model offers significant improvements, it may still inherit some limitations from its parent models, including:
+- Potential biases present in the training data.
+- Challenges in handling highly specialized or niche topics.
+- Variability in performance based on the complexity of user queries.
 
-You are trained on data up to October 2023.
+Users are encouraged to provide feedback and report any issues encountered during usage to facilitate ongoing improvements.