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Leo Mistral Hessianai 7B by LeoLM

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  Autotrain compatible Dataset:bjoernp/tagesschau-201... Dataset:oscar-corpus/oscar-230...   Dataset:wikipedia   De   En   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/LeoLM/leo-mistral-hessianai-7b 

Leo Mistral Hessianai 7B Benchmarks

LLME Score: 0.11811
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Leo Mistral Hessianai 7B (LeoLM/leo-mistral-hessianai-7b)
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Leo Mistral Hessianai 7B Parameters and Internals

Model Type 
Causal decoder-only transformer language model, text-generation
Supported Languages 
en (high), de (high)
Training Details 
Data Sources:
oscar-corpus/OSCAR-2301, wikipedia, bjoernp/tagesschau-2018-2023
Methodology:
Continued pretraining on a large corpus of German-language texts
Context Length:
8000
Hardware Used:
HessianAI's supercomputer **42**
Model Architecture:
Transformer
LLM NameLeo Mistral Hessianai 7B
Repository 🤗https://huggingface.co/LeoLM/leo-mistral-hessianai-7b 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-22
MaintainerLeoLM
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen de
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the Leo Mistral 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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