Let's say you had an Excel file with 10,000 rows and you wanted to break it up into many Excel files each with 500 records. Each new file should have the header fields from the original. How would you do it? I did it by writing a node script but I'm wondering if there's an easier way.
Edit: Guys this is just an example. I'm looking for a general solution. It could be 10 million rows.
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We wrote our inference engine on Rust, it is faster than llama cpp in all of the use cases. Your feedback is very welcomed. Written from scratch with idea that you can add support of any kernel an

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What I’m asking HN:
What does your actually useful local LLM stack look like?
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