Welcome to your step-by-step guide on how to effectively use the **Typhoon-0219** Thai language model! This instruct model, with 7 billion parameters, offers exciting capabilities in text generation and is suitable for developers looking to incorporate AI into their projects, especially for Thai and English languages. In this blog, we will walk through its features, intended uses, deployment, and troubleshoot common issues you might face.

Model Overview

Typhoon-0219 is a next-generation instruct model based on the Typhoon 7B architecture. It has been developed using an extensive dataset consisting of over 1 million rows, making it robust in processing diverse commands.

Requirements

• Model Type: 7B instruct decoder-only model based on Mistral architecture
• Library: transformers 4.38.0 or newer is required.
• Languages Supported: Primarily Thai and English
• License: Apache-2.0

Intended Uses and Limitations

This model is designed for instructional purposes; however, it’s essential to recognize its limitations. While Typhoon-0219 comes with some level of guardrails, it may still exhibit biases or inaccuracies in its responses. Therefore, developers are advised to evaluate these risks based on their particular use cases.

Production Deployment

To deploy the Typhoon-0219 model in a production environment, follow these steps:

• Use the OpenAI-compatible API server from the vLLM project.
• Run the following command in your terminal:

python -m vllm.entrypoints.openai.api_server --port 8080 --model scb10xtyphoon-7b-instruct-02-19-2024 --max-num-batched-tokens 8192 --max-model-len 8192 --served-model-name typhoon-instruct

This command will start the API server on port 8080 using the Typhoon model.

Using the Chat Template

The model uses the ChatML format for managing messages. To implement a chat template, follow the structure shown below:

for message in messages:
    im_start + message[role] + "\n" + message[content]
    if (loop.last and add_generation_prompt) or not loop.last:
        im_end + "\n"
    endif
endfor
if add_generation_prompt and messages[-1][role] != assistant:
    im_start + "assistant\n"
endif

Think of this code as a recipe where each ingredient (message) is combined in a specific order, where formatting and checks ensure that you bake the perfect AI-driven conversation.

Troubleshooting

If you encounter any issues while deploying or using Typhoon-0219, consider the following troubleshooting tips:

• Model Not Responding: Ensure that your API server is running correctly on port 8080.
• Dependency Issues: Verify that you have installed the correct version of the transformers library.
• Unexpected Outputs: Remember that the model may produce biased or inaccurate results; adjust your prompts as needed.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Contact Support

If you need assistance, you can reach out to the SCB10X AI Team:

• General Collaboration: kasima@scb10x.com, pathomporn@scb10x.com
• Technical Support: kunat@scb10x.com

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

Stay Connected

For continuous updates and community engagement, follow us on Twitter and join our Discord.