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This repo contains a qlora adapter for Llama-2-7b, trained on 1B tokens (available here) and subsequently fine-tuned on a private instructions dataset, exclusively in Polish.

The fine-tuning took 1 hour on a single RTX 4090 with the following hyperparameters:

  • context length: 2048
  • batch_size: 16
  • learning_rate: 0.0001
  • lora_r: 64
  • lora_alpha: 16
  • lora_modules: all
  • lora_dropout: 0.0
  • weight_decay: 0.1
  • max_grad_norm: 0.3
  • double_quant, nf4
  • optimizer: paged_adamw_32bit (beta2: 0.999)

This adapter allows the model to speak Polish more accurately than vanilla Llama-2-7b.

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