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MiniSymp2 is A retrain of my MiniSymposium model attempt except with some more data and better practices.

  • added EOS tokens where they belong
  • made the prompt formats more diverse in the data so you could experiment / play with prompt format in context
  • added some new examples
  • measured loss curve to make sure I wasn't overfitting
  • used 8-bit lora instead of 4-bit qlora
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Model size
7.24B params
Architecture
llama

6-bit

8-bit

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