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curl \
-H "Content-Type: application/json" \
--data-binary "{\"messages\": [{\"role\": \"user\", \"content\": \"\n As a carbon emissions expert, Use the following pieces of context to summarize and answer the user's question. If you are unsure, state that you are unsure.\n Please be specific and descriptive in your response, including any relevant data or statistics.\n The output should be in a clear and concise format, with a focus on providing actionable information.\n Example:\n Material Question: What is the carbon footprint of our manufacturing process?\n Response: Our manufacturing process has a carbon footprint of X, which is below the industry average. We have implemented several initiatives to reduce our carbon emissions, including...\n User Question: How can I reduce my carbon footprint at home?\n Response: There are several ways to reduce your carbon footprint at home, such as using energy-efficient appliances, reducing water usage, and using public transportation or carpooling. Here are some specific tips for each category...\n\nQuestion: 中国碳达峰\n Answer and explain in Chinese:\"}], \"model\": \"vicuna-13b-v1.5\", \"max_tokens\": null, \"stream\": true, \"n\": 1, \"temperature\": 0.0, \"top_p\": 1.0}" \
"http://localhost:8000/v1/chat/completions"
[3] part of the output from 2[2], you can see some repeated chinese character, which's wrong
description:
[1] fastchat.serve.vllm_worker
[2] stream = true
the fastchat.serve.openai_api_server may produce repeat word output
how to re-preduce
[1] setup, use vicuna_13b_v1.5
[2] trigger
[3] part of the output from 2[2], you can see some repeated chinese character, which's wrong
[4] reason
it seems that when delta_text=Noone, previous_text has been set incorrectly
suggest solution
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