Mistral 7B German Assistant V3 by flozi00

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  Autotrain compatible   Dataset:flozi00/conversations   De   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral 7B German Assistant V3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B German Assistant V3 (flozi00/Mistral-7B-german-assistant-v3)
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Mistral 7B German Assistant V3 Parameters and Internals

Model Type 
instruction following, conversational tasks
Supported Languages 
de (high)
Training Details 
Data Sources:
flozi00/conversations
Methodology:
Finetuned for German instructions and conversations in the style of Alpaca
Context Length:
8000
Hardware Used:
100% renewable energy powered hardware
Model Architecture:
Mistral v0.1
LLM NameMistral 7B German Assistant V3
Repository ๐Ÿค—https://huggingface.co/flozi00/Mistral-7B-german-assistant-v3 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
Maintainerflozi00
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesde
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than flozi00/Mistral-7B-german-assistant-v3.

Rank the Mistral 7B German Assistant V3 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 v20241124