Em German Leo Mistral GPTQ by TheBloke

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Em German Leo Mistral GPTQ is an open-source language model by TheBloke. Features: 7.2b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

  4-bit Base model:jphme/em german leo... Base model:quantized:jphme/em ...   De   Deutsch   German   Gptq   Leolm   Mistral   Pytorch   Quantized   Region:us   Safetensors

Em German Leo Mistral GPTQ Benchmarks

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 GPTQ (TheBloke/em_german_leo_mistral-GPTQ)
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Em German Leo Mistral GPTQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Business applications
Supported Languages 
de (High proficiency)
Input Output 
Input Format:
Prompt: Du bist ein hilfreicher Assistent. USER: {prompt} ASSISTANT:
Accepted Modalities:
text
LLM NameEm German Leo Mistral GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/em_german_leo_mistral-GPTQ 
Model NameEM German Leo Mistral
Model CreatorJan Philipp Harries
Base Model(s)  Em German Leo Mistral   jphme/em_german_leo_mistral
Model Size7.2b
Required VRAM4.2 GB
Updated2026-03-09
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesde
GPTQ QuantizationYes
Quantization Typegptq
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 TheBloke/em_german_leo_mistral-GPTQ.

Rank the Em German Leo Mistral GPTQ 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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