Run an LLM chatbot with rtp-llm on Arm-based servers
Introduction
Background
Run an LLM chatbot with rtp-llm on an Arm server
Access the chatbot with rtp-llm using the OpenAI-compatible API
Review
Next Steps

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What you've learned

You should now know how to:

  • Build rtp-llm on an Arm-based server.
  • Download a Qwen model from Hugging Face.
  • Run a Large Language Model with rtp-llm.

Knowledge Check

Are at least four cores, 16GB of RAM, and 32GB of disk storage required to run the LLM chatbot using rtp-llm on an Arm-based server?

Does the rtp-llm project use the --config=arm option to optimize LLM inference for Arm CPUs?

Is the given Python script the only way to run the LLM chatbot on an Arm AArch64 CPU and output a response from the model?


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