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.

<p align="center"> <img src="https://huggingface.co/Azurro/llama-2-7b-qlora-polish-instruct/raw/main/llama-2-7b-qlora-polish-instruct.jpg"> </p>