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---
license: apache-2.0
language:
- pl
tags:
- qlora
- instruct
---
This repo contains a qlora adapter for [Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1), 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)
During the training of the adapter, the instruction format was maintained. Each prompt should be surrounded by `[INST]` and `[\INST]` tokens to leverage instruction fine-tuning.
This adapter allows the model to speak Polish more accurately than vanilla [Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1). |