OpenChat is a groundbreaking library that empowers developers to harness the potential of language models fine-tuned with C-RLFT—a method inspired by offline reinforcement learning. With comparable performance to ChatGPT, OpenChat aims to provide an accessible platform for building high-performance language processing applications. This guide will walk you through the steps to set up and utilize OpenChat effectively.

Installation

To get started with OpenChat, you’ll need to install the OpenChat package. Here’s how:

• Follow the detailed installation guide in the GitHub repository.

Setting Up the OpenChat Server

Once you have installed the package, you can utilize the OpenAI-compatible API server. Below are the steps to run your server:

• Run the serving command:

python -m ochat.serving.openai_api_server --model openchat/openchat_3.5 --engine-use-ray --worker-use-ray

• The server will listen at localhost:18888 for requests.
• For high-throughput deployment, ensure you have vLLM running (requires a GPU with 24GB RAM).

To enable tensor parallelism, simply append --tensor-parallel-size N to the command above.

Making Requests

You can send requests to the server in the following manner:

curl http://localhost:18888/v1/chat/completions -H "Content-Type: application/json" -d '{ "model": "openchat_3.5", "messages": [{ "role": "user", "content": "You are a large language model named OpenChat. Write a poem to describe yourself." }] }'

For specific requests, such as coding tasks, here’s an example:

curl http://localhost:18888/v1/chat/completions -H "Content-Type: application/json" -d '{ "model": "openchat_3.5", "condition": "Code", "messages": [{ "role": "user", "content": "Write an aesthetic TODO app using HTML5 and JS, in a single file. You should use round corners and gradients to make it more aesthetic." }] }'

Understanding the Model and Data

OpenChat utilizes a 7 billion parameter model that enjoys a competitive edge in performance, allowing it to rival larger models with fewer parameters. You can think of this like a nimble athlete in a race with heavier competitors; sometimes speed and agility can outpace sheer size.

Limitations

While OpenChat exhibits advanced capabilities, it has its limitations:

• Complex reasoning and arithmetic tasks: OpenChat’s performance may falter in intricate reasoning scenarios.
• Hallucination of information: The model might produce inaccurate or non-existent information, hence verification of crucial data is essential.
• Safety concerns: It’s crucial to implement additional AI safety measures due to potential biased or harmful outputs.

Troubleshooting

If you encounter issues while using OpenChat, consider the following troubleshooting tips:

• Ensure your server is running at localhost:18888.
• Check your command syntax for any typographical errors.
• Verify your API keys and configurations if you’re using them for online deployment.
• For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

OpenChat redefines the boundaries of what an open-source language model can achieve. Remember to always stay aware of its limitations, and leverage its strengths to build impressive applications. 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.

Get Started Today!

Now that you have the knowledge at your fingertips, dive into the world of OpenChat. Whether you’re developing a chatbot, an interactive assistant, or educational tools, the possibilities are endless!