Skip to content

Tokenization endpoint #1649

Open
Open
@benniekiss

Description

@benniekiss

Is your feature request related to a problem? Please describe.

For generative models, many are limited by a maximum number of tokens. in some workflows, the prompts are generated dynamically to use as much context as possible by tokenizing the responses first to ensure that they will fit in the context.

Currently, this requires a local tokenization scheme which limits a complete API workflow.

Describe the solution you'd like

backends like transformers and llama.cpp both offer tokenization methods that just tokenize text without generating
a response. Attaching these methods to a tokenization api endpoint would be helpful in removing local processing requirements.

Describe alternatives you've considered

Additional context

Metadata

Metadata

Assignees

No one assigned

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions