[Python] Handling Token Limit Issues in Llama 3.2:3b-Instruct Model (2048 Tokens Max) [closed]

I'm using the Llama 3.2:3b-instruct model and encountered the following error:

This model's maximum context length is 2048 tokens. However, you requested
2049 tokens (1681 in the messages, 368 in the completion).


I understand this is due to exceeding the token limit, but I'd like to know:

• Are there any best practices or techniques for reducing token usage without losing critical context in messages or completions?

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