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Model: LSX-UniWue/LLaMmlein_1B_prerelease
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---
datasets:
- togethercomputer/RedPajama-Data-V2
- LSX-UniWue/LLaMmlein-Dataset
language:
- de
pipeline_tag: text-generation
library_name: transformers
license: other
new_version: LSX-UniWue/LLaMmlein_1B
---
# LLäMmlein 1B
This is a German Tinyllama 1B language model trained from scratch using the [Tinyllama](https://github.com/jzhang38/TinyLlama) codebase on the German portion of [RedPajama V2](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-V2).
Find more details on our [page](https://www.informatik.uni-wuerzburg.de/datascience/projects/nlp/llammlein/) and our [preprint](https://arxiv.org/abs/2411.11171)!
### Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("LSX-UniWue/LLaMmlein_1B")
tokenizer = AutoTokenizer.from_pretrained("LSX-UniWue/LLaMmlein_1B")
```
### Evaluation
We evaluated our results on the [SuperGLEBer](https://lsx-uniwue.github.io/SuperGLEBer-site/) benchmark.
[Data Take Down](https://www.informatik.uni-wuerzburg.de/datascience/projects/nlp/llammlein/)