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Support custom models #112
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Can this be considered done now that there is a documentation page detailing how to do it https://docs.vllm.ai/en/latest/models/adding_model.html? |
* Disable tokenizer * Update protocol.py * Update serving_completion.py * Detect value of skip_tokenizer_init cmd arg * support skipping tokenizer for streaming scenario * remove debug print --------- Co-authored-by: Michał Kuligowski <michal.kuligowski@intel.com>
We now support automatic detection of generation/embedding task ( |
We need to provide clean abstractions and interfaces so that users can easily plug in their custom models.
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