py-llama predictor
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doc/oi-notes.md
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47
doc/oi-notes.md
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interpreter --api_base http://192.168.0.11:11434/v1/
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interpreter --model "gpt-3.5-turbo" # mistral
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interpreter --model "mistral" --api_base http://192.168.0.11:11434/v1/
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Mac/Linux: 'export OPENAI_API_KEY=your-key-here',
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Windows: 'setx OPENAI_API_KEY your-key-here' then restart terminal.
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interpreter --local
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interpreter --api_base http://192.168.0.11:11434/v1 --api_key "" --model openai/local
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interpreter --api_base http://192.168.0.137:1234/v1 --api_key "" --model openai/local
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192.168.0.137
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# Load a model, start the server, and run this example in your terminal
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# Choose between streaming and non-streaming mode by setting the "stream" field
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curl http://192.168.0.11:11434/v1/chat/completions \
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-H "Content-Type: application/json" \
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-d '{
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"messages": [
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{ "role": "system", "content": "Always answer in rhymes." },
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{ "role": "user", "content": "Introduce yourself." }
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],
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"temperature": 0.7,
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"max_tokens": -1,
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"stream": false
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}'
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curl http://192.168.0.137:1234/v1/chat/completions \
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-H "Content-Type: application/json" \
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-d '{
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"messages": [
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{ "role": "system", "content": "Always answer in rhymes." },
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{ "role": "user", "content": "Introduce yourself." }
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],
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"temperature": 0.7,
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"max_tokens": -1,
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"stream": false
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}'
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