---
license: llama3.2
language:
- pl
- en
- es
- de
base_model:
- radlab/pLLama3.2-3B
---

![image/png](https://cdn-uploads.huggingface.co/production/uploads/644addfe9279988e0cbc296b/VVJ0FC0BhZAwq9BtL2wYY.png)

### Intro
We have released a collection of radlab/pLLama3.2 models, which we have trained into Polish. The trained version is able to communicate more precisely with the user than the base version of meta-llama/Meta-Llama-3.2 models. As part of the collection, we provide models in 1B and 3B architecture. 
Each model is available in two configurations:
- radlab/pLLama3-1B, a model in architecture 1B only after fine-tuning
- radlab/pLLama3-1B-DPO, a model in architecture 1B after fine-tuning and DPO process
- radlab/pLLama3-3B, a model in architecture 3B only after fine-tuning
- radlab/pLLama3-3B-DPO, a model in architecture 3B after fine-tuning and DPO process

### Dataset
In addition to the instruction datasets publicly available for Polish, we developed our own dataset, which contains about 650,000 instructions. This data was semi-automatically generated using other publicly available datasets.
In addition, we developed a learning dataset for the DPO process, which contained 100k examples in which we taught the model to select correctly written versions of texts from those with language errors.

### Learning
The learning process was divided into two stages:
- Post-training on a set of 650k instructions in Polish, the fine-tuning time was set to 5 epochs.
- After the FT stage, we retrained the model using DPO on 100k instructions of correct writing in Polish, in this case we set the learning time to 15k steps.

### Proposed parameters:
* temperature: 0.6
* repetition_penalty: 1.0

### Outro
Enjoy!