78 lines
2.4 KiB
Markdown
78 lines
2.4 KiB
Markdown
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# <INFERENCE_SERVER> + <MODEL_NAME> (serverless)
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Run <INFERENCE_SERVER> with our serverless autoscaling infrastructure.
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See the [serverless documentation](https://docs.vast.ai/serverless) and the [Getting Started](https://docs.vast.ai/serverless/getting-started) guide for in-depth details about how to use these templates.
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## Configuration
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Two environment variables are provided to help you configure the <INFERENCE_SERVER> server:
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| Variable | Default Value | Used For |
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| --- | --- | --- |
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| `MODEL_NAME` | `<MODEL_NAME>` | The model to load. Also accepts [hf.co/repo/model](#) links |
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| `<ARGS_VAR>` | `<ARGS_VAL>` | Arguments to pass to the `<ARGS_RECEIVER>` command |
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This template has been configured to work with <MIN_VRAM> VRAM. Setting alternative models and server arguments will change the VRAM requirements. Check model cards and <INFERENCE_SERVER_DOCS> for guidance.
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## Usage
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We have provided a demonstration client to help you implement this template into your own infrastructure
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### Client Setup
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Clone the PyWorker repository to your local machine and install the necessary requirements for running the test client.
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```bash
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git clone https://github.com/vast-ai/pyworker
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cd pyworker
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pip install uv
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uv venv -p 3.12
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source .venv/bin/activate
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uv pip install -r requirements.txt
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```
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### Completions
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Call to `/v1/completions` with json response
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```bash
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python -m workers.openai.client -k <API_KEY> -e <ENDPOINT_NAME> --completion --model <MODEL_NAME>
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```
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### Chat Completion (json)
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Call to `/v1/chat/completions` with json response
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```bash
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python -m workers.openai.client -k <API_KEY> -e <ENDPOINT_NAME> --chat --model <MODEL_NAME>
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```
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### Chat Completion (streaming)
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Call to `/v1/chat/completions` with streaming response
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```bash
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python -m workers.openai.client -k <API_KEY> -e <ENDPOINT_NAME> --chat-stream --model <MODEL_NAME>
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```
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### Tool Use (json)
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Call to `/v1/chat/completions` with tool and json response.
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This test defines a simple tool which will list the contents of the local pyworker directory. The output is then analysed by the model.
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```bash
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python -m workers.openai.client -k <API_KEY> -e <ENDPOINT_NAME> --tools --model <MODEL_NAME>
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```
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### Interactive Chat (streaming)
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Interactive session with calls to `/v1/chat/completions`.
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Type `clear` to clear the chat history or `quit` to exit.
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```bash
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python -m workers.openai.client -k <API_KEY> -e <ENDPOINT_NAME> --interactive --model <MODEL_NAME>
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```
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