✨ vLLM Backend integration #42
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added 2 commits
August 30, 2024 13:22
* backend/test_openai_backend.py -> backend/test_openai.py * backend/test_deepsparse_backend.py -> backend/test_deepsparse.py
not tested
added 14 commits
September 2, 2024 08:58
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Summary
This PR extends the PR: Deepsparse Backend implementation.
The base branch is
parfeniukink/features/deepsparse-backend.vllmis added to optional dependenciesVllmBackendclass encapsulates the vLLM integration.guidellm/backend/vllmis available only if the Python version and the runtime platform pass the validation.vllmtests are skipped in case the platform is not LinuxUsage
This is an example of a command you can use in your terminal:
--data=openai_humaneval: determines the dataset--model=/local/path/my_model: determines the local path to the model object. If not specified - the env variable will be used.Environment configuration
The model could also be set with
GUIDELLM__LLM_MODEL. If the CLI value or environment variable is not set, then the default will be used. Currently, the default model is:mistralai/Mistral-7B-Instruct-v0.3.