Leo Hessianai 7B by LeoLM

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  Autotrain compatible   Custom code Dataset:bjoernp/tagesschau-201... Dataset:oscar-corpus/oscar-230...   Dataset:wikipedia   De   En   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/LeoLM/leo-hessianai-7b 

Leo Hessianai 7B Benchmarks

Leo Hessianai 7B (LeoLM/leo-hessianai-7b)

Leo Hessianai 7B Parameters and Internals

Model Type 
Causal decoder-only transformer
Additional Notes 
This model aims to enhance German LLM research by extending the capabilities of Llama-2 into the German language.
Supported Languages 
en (English), de (German)
Training Details 
Data Sources:
oscar-corpus/OSCAR-2301, wikipedia, bjoernp/tagesschau-2018-2023
Methodology:
Continued pretraining on a large corpus of German-language and mostly locality specific text.
Context Length:
8000
Hardware Used:
HessianAI's supercomputer 42
Model Architecture:
Transformer
LLM NameLeo Hessianai 7B
Repository ๐Ÿค—https://huggingface.co/LeoLM/leo-hessianai-7b 
Model Size7b
Required VRAM13.5 GB
Updated2025-06-01
MaintainerLeoLM
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen de
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.32.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Leo Hessianai 7B

Model
Likes
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VRAM
Leo Hessianai 7B GGUF43372 GB
Leo Hessianai 7B GPTQ3203 GB
Leo Hessianai 7B AWQ0263 GB

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Note: green Score (e.g. "73.2") means that the model is better than LeoLM/leo-hessianai-7b.

Rank the Leo Hessianai 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227