---
license: apache-2.0
datasets:
- allenai/MADLAD-400
- eryk-mazus/polka-pretrain-en-pl-v1
language:
- pl
- en
pipeline_tag: text-generation
---

![image/png](https://cdn-uploads.huggingface.co/production/uploads/61bf0e11c88f3fd22f654059/EMSrPEzAFkjY9nvbaJoC3.png)

# Polka-1.1b


`polka-1.1b` takes the [TinyLlama-1.1B](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) model and enhances it by continuing pretraining on an additional **5.7 billion Polish tokens**, primarily sourced from the [MADLAD-400](https://arxiv.org/abs/2309.04662) dataset. The tokens were sampled in a 10:1 ratio between Polish and English shards using [DSIR](https://github.com/p-lambda/dsir). Furthermore, Polka extends the TinyLlama tokenizer's vocabulary to 43,882 tokens, improving its efficiency for generating Polish text.

The training took 425 RTX 4090 GPU hours on a single 8 x RTX 4090 machine with DeepSpeed ZeRO-2.

## Notes

...

## Sample code

```python
...
```