My total token count is 2342 (both input and output). Even though gpt-3.5-turbo has a limit of 4,096 tokens per request, I’m getting this error:
Token indices sequence length is longer than the specified maximum sequence length for this model (2342 > 1024). Running this sequence through the model will result in indexing errors
Anyone knows why this happens?
This is more-than-likely because you have
max_tokens set to 1024 in your chat completion params.
Here, I set
max_tokens to 3000, and this is the resulting error:
However, if I change it
max_tokens to 1024, then it works:
Testing is good and reveals all
I found out what it was, a dummy mistake
I had content moderation endpoint which was checking all the outputs and is limited to 1024 tokens
All good now!
There is no
max_tokens parameter in the moderation endpoint.
My fault, @ruby_coder . Actually, your previous comment made me investigate further and it appears it was GPT2 Tokenizer limit.
I just removed this from the code as it’s obsolete for a very long time since OpenAI introduced a better method for getting the token spend info.
Thanks for the tip, @karaburmication
I encountered the same warning when using llama-index, and came to the same conclusion that it’s actually just a tokenizer warning, rather than actually truncating the text.
Have you offered a suggestion to the developers to upgrade this?
@prashanth.bhat - to be honest, I haven’t. Kinda focusing on super-important stuff, this is low priority at the moment