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Em German Leo Mistral by jphme

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Em German Leo Mistral is an open-source language model by jphme. Features: 7.2b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, HF Score: 51.7, LLM Explorer Score: 0.15, Arc: 52.8, HellaSwag: 78, MMLU: 50, TruthfulQA: 50.2, WinoGrande: 73.5, GSM8K: 5.6.

  Conversational   De   Deutsch   German   Leolm   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jphme/em_german_leo_mistral 

Em German Leo Mistral Benchmarks

ARC: 52.82 vs 96.7 (so35)-45.4%
HellaSwag: 78.03 vs 95.3 (gpt4)-18.1%
MMLU: 50.03 vs 88.3 (so35)-43.3%
TruthfulQA: 50.19 vs 59 (gpt4)-14.9%
WinoGrande: 73.48 vs 87.5 (gpt4)-16%
GSM8K: 5.61 vs 96.4 (so35)-94.2%
LLME Score: 0.147
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Em German Leo Mistral (jphme/em_german_leo_mistral)
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Em German Leo Mistral Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Commercial applications
Applications:
Business applications
Primary Use Cases:
Understanding and generating German language content
Additional Notes 
The Mistral architecture is very recent and not supported by all libraries.
Supported Languages 
German (High)
Training Details 
Data Sources:
German texts
Methodology:
Finetuned on a large dataset of various instructions in German language
Model Architecture:
Based on Llama2, Mistral, and LeoLM architectures
LLM NameEm German Leo Mistral
Repository 🤗https://huggingface.co/jphme/em_german_leo_mistral 
Model NameEM German
Model Creatorjphme
Model Size7.2b
Required VRAM14.4 GB
Updated2026-02-08
Maintainerjphme
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesde
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Em German Leo Mistral

Model
Likes
Downloads
VRAM
Em German Leo Mistral GGUF4012413 GB
Em German Leo Mistral GPTQ101374 GB
Em German Leo Mistral AWQ6184 GB

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Note: green Score (e.g. "73.2") means that the model is better than jphme/em_german_leo_mistral.

Rank the Em German Leo Mistral Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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