🚀 LAION LeoLM: Linguistically Enhanced Open Language Model
Meet LeoLM, the first open and commercially available German Foundation Language Model built on Llama-2. It extends Llama-2's capabilities into German through continued pretraining on a large corpus of German - language and mostly locality - specific text.
🚀 Quick Start
LeoLM is the first open and commercially available German Foundation Language Model based on Llama - 2. By continuing pretraining on a large German - language corpus, it extends Llama - 2's capabilities to German. Thanks to a compute grant at HessianAI's supercomputer 42, we release two 8k context - length foundation models, [LeoLM/leo - hessianai - 7b](https://huggingface.co/LeoLM/leo - hessianai - 7b) and [LeoLM/leo - hessianai - 13b](https://huggingface.co/LeoLM/leo - hessianai - 13b), under the [Llama - 2 community license](https://huggingface.co/meta - llama/Llama - 2 - 70b/raw/main/LICENSE.txt) (70b is also coming soon!). We hope this release will bring new opportunities to German open - source and commercial LLM research and accelerate adoption. Read our blog post or paper (preprint coming soon) for more details.
A project by Björn Plüster and Christoph Schuhmann in collaboration with LAION and HessianAI.
✨ Features
- Extends Llama - 2's capabilities to the German language through continued pretraining on a large German - language corpus.
- Released two 8k context - length foundation models, facilitating German open - source and commercial LLM research.
📦 Installation
Install Direct Dependencies
pip install transformers torch sentencepiece
Install Dependencies for Faster Inference with Flash - Attention2
pip install packaging ninja
pip install flash-attn==v2.1.1 --no-build-isolation
pip install git+https://github.com/HazyResearch/flash-attention.git@v2.1.1#subdirectory=csrc/rotary
💻 Usage Examples
Basic Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model = AutoModelForCausalLM.from_pretrained(
model="LeoLM/leo-hessianai-13b",
device_map="auto",
torch_dtype=torch.float16,
trust_remote_code=True
)
📚 Documentation
Model Details
| Property |
Details |
| Finetuned from |
[meta - llama/Llama - 2 - 13b - hf](https://huggingface.co/meta - llama/Llama - 2 - 13b - hf) |
| Model Type |
Causal decoder - only transformer language model |
| Language |
English and German |
| License |
[LLAMA 2 COMMUNITY LICENSE AGREEMENT](https://huggingface.co/meta - llama/Llama - 2 - 70b/raw/main/LICENSE.txt) |
| Contact |
LAION Discord or Björn Plüster |
Training parameters
Benchmarks
📄 License
This model is released under the [LLAMA 2 COMMUNITY LICENSE AGREEMENT](https://huggingface.co/meta - llama/Llama - 2 - 70b/raw/main/LICENSE.txt).
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
