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Chat templates are part of the tokenizer You can edit this file directly to change the template, which is often easier than manipulating a template string. They specify how to convert conversations, represented as lists of messages, into a single tokenizable string in the format that the model expects
Chat templates integrate with the pretrainedtokenizer class and rely on the @huggingface/jinja package for template rendering The template is saved in the chat_template.jinja file in the tokenizer directory Templates are stored in tokenizer_config.json and loaded during tokenizer initialization.
Training a model with a chat template is a good way to ensure the template matches the tokens the model was trained on
Apply the chat template as a preprocessing step to your dataset. If you'd like regular pip install, checkout the latest stable version (v4.57.3) We’re on a journey to advance and democratize artificial intelligence through open source and open science. How does the tokenizer know what format to use
This is set by a tokenizer config field This field contains a jinja template in a single string. However the model's tokenizer_config.json does have a chat_template field Here is my script (albeit not formatted well, but again this is just to get the basics down):
The only change you need to make is to set the tokenizer.chat_template attribute to a jinja template string
Once that's done, push your changes and you're ready to go! As this led to various issues, one now needs to explicitly add a chat template (pr for that is here) Is there a problem with tokenizer_config.json Or is there anything i missed
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