abetlen / abetlen/llama-cpp-python

Dynamically intterupt token generation

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enhancement
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Python
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Description

**Is your feature request related to a problem? Please describe.**
During the generation of tokens I would like to stop when I encounter some condition that changes during the runtime, using `Stream=True`.
E.g. I would like to stop generation after 5 lines of generation.

**Describe the solution you'd like**
I would like a method on llm called `stop()`, or `interrupt()`, that forces the model to stop after the next token is generated, similar to CTRL+C in the regular llama.cpp

**Describe alternatives you've considered**
I have considered adding a newline as stop token, but I think this is not performant. Another way I can think of is changing the `stop` list after passing it the generation method, but that feels hacky.

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