[BugFix][Frontend] Use correct, shared tokenizer in OpenAI server #3512
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Test failures look unrelated (network blips). |
Yard1
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Mar 20, 2024
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The front-end server code currently doesn't use lora-specific tokenizers. It also won't make use of the recently introduced parallel async tokenization if enabled.
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This was referenced Apr 12, 2024
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Can the same tokenizer be used to apply the chat template as well? |
dtrifiro
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Jun 26, 2024
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| return self.engine.get_tokenizer_group() |
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| else: | |
| return self.engine.get_tokenizer_group() | |
| return self.engine.get_tokenizer_group() |
njhill
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Currently the LoRA tokenizers aren't used in the OpenAI APIs, meaning the behaviour won't be correct if adapters are used that have custom added tokens. This PR includes changes to address that. It mostly replaces vllm-project#3512. More work is needed to address remaining inconsistencies in tokenization behaviour between the OpenAI front-end and standalone LLMEngine/AsyncLLMEngine use, including: - Standalone cases don't honor truncation and add_special_tokens request parameters - OpenAI API cases don't make use of TokenizerGroups for possible parallelization of tokenization As well as some other inefficiencies. But these are to be addressed in follow-on PRs.
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Closing as superseded by #6227. |
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The front-end server code currently doesn't use lora-specific tokenizers.
It also won't make use of the recently introduced parallel async tokenization if enabled.