32 lines
1.1 KiB
Markdown
32 lines
1.1 KiB
Markdown
---
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datasets:
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- togethercomputer/RedPajama-Data-V2
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- LSX-UniWue/LLaMmlein-Dataset
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language:
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- de
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pipeline_tag: text-generation
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library_name: transformers
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license: other
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new_version: LSX-UniWue/LLaMmlein_1B
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---
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# LLäMmlein 1B
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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).
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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)!
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### Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("LSX-UniWue/LLaMmlein_1B")
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tokenizer = AutoTokenizer.from_pretrained("LSX-UniWue/LLaMmlein_1B")
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```
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### Evaluation
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We evaluated our results on the [SuperGLEBer](https://lsx-uniwue.github.io/SuperGLEBer-site/) benchmark.
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[Data Take Down](https://www.informatik.uni-wuerzburg.de/datascience/projects/nlp/llammlein/) |