Llama 2 Chat Template

Llama2 Chat Models: A Guide to Prompting Best Practices

Introduction

The Llama2 chat models are powerful language models that can be used for a variety of tasks, including dialogue generation, question answering, and summarization. To get the best results from these models, it is important to use the correct prompting techniques.

Prompting Template

The Llama2 models follow a specific template when prompting them in a chat style. This template includes the following tags:

* **[INST]** - This tag is used to specify the instruction or question that you want the model to respond to. * **[CTX]** - This tag is used to provide the model with context for the instruction or question. * **[OUT]** - This tag is used to specify the desired output from the model.

Here is an example of a prompt that uses the correct template:

``` [INST] Answer the following question: [CTX] What is the capital of France? [OUT] Paris ```

Best Practices

In addition to using the correct template, there are a few other best practices that you can follow when prompting the Llama2 models:

* **Be clear and concise.** The models will perform better if you give them clear and concise instructions. * **Provide context.** The models will also perform better if you provide them with context for the instruction or question. * **Use specific examples.** If possible, provide the models with specific examples of what you want them to do. * **Be patient.** The models may take some time to learn how to respond to your prompts. Be patient and provide them with feedback as they learn.

Conclusion

By following these best practices, you can improve the performance of the Llama2 chat models and get the most out of them.