Update README.md

README.md

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 # Model Card for Model ID
 
-<!-- Provide a quick summary of what the model is/does. -->
+Provide information - Chatbots can be programmed with a large knowledge base to answer users' questions on a variety of topics. They can provide facts, data, explanations, definitions, etc.
+Complete tasks - Chatbots can be integrated with other systems and APIs to actually do things for users, like placing an order, booking a flight, scheduling a meeting, etc.
+Offer recommendations - Based on a user's preferences and past interactions, chatbots can suggest products, services, content and more that might be relevant and useful to the user.
+Provide customer service - Chatbots can handle many simple customer service interactions to answer questions, handle complaints, process returns, etc. This allows human agents to focus on more complex issues.
+Generate conversational responses - Using NLP and machine learning, chatbots can understand natural language and generate conversational responses, creating fluent interactions.
+Provide company persona - Chatbots can take on a specific personality and tone of voice to personify a brand and create more natural conversations with customers.
 
 
 
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 ### Model Description
 
 <!-- Provide a longer summary of what this model is. -->
+- **Model type:** Llama2
+- **Language(s) (NLP):** Vietnamese
+- **License:** llama2
+- **Finetuned from model Viet-Mistral/Vistral-7B-Chat:** [More Information Needed]
 
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
 
 ### Training Data
 
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-
-[More Information Needed]
+Our dataset was make base on our university sudent notebook. It includes majors, university regulations and other information about our university.  
+[Tamnemtf/llama2_hcmue_1]
 
 ### Training Procedure