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Ende Chat 0.0.7 by kno10

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Model Card on HF 🤗: https://huggingface.co/kno10/ende-chat-0.0.7 

Ende Chat 0.0.7 Benchmarks

MMLU Pro: 10.74
GPQA: 4.14
MUSR: 6.03
BBH: 13.58
IFEval: 44.01 vs 88 (so35)-50%
LLME Score: 0.24233
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ende Chat 0.0.7 (kno10/ende-chat-0.0.7)

Ende Chat 0.0.7 Parameters and Internals

Model Type 
Language model, Chat model
Use Cases 
Areas:
Chat in German and English
Limitations:
Not received alignment or comprehensive instruction finetuning
Additional Notes 
This model is a proof of concept and further finetuning is necessary. It is not fully evaluated and most fine-tuning data is automatically translated from English, which may not lead to high-quality data.
Supported Languages 
deu (German language support), eng (English language support)
Training Details 
Data Sources:
Proprietary text collected from the internet
Data Volume:
Limited due to GPU constraints
Methodology:
LoRA finetuning; initial finetuning with English and German data
Context Length:
1024
Hardware Used:
2xV100 GPU
Model Architecture:
Mistral-7B
LLM NameEnde Chat 0.0.7
Repository 🤗https://huggingface.co/kno10/ende-chat-0.0.7 
Model Size7.9b
Required VRAM15.8 GB
Updated2025-01-29
Maintainerkno10
Model Typemistral
Instruction-BasedYes
Model Files  4.0 GB: 1-of-4   4.0 GB: 2-of-4   3.9 GB: 3-of-4   3.9 GB: 4-of-4
Supported Languagesen de
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizerFast
Padding Token</s>
Vocabulary Size111235
Torch Data Typefloat16

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Rank the Ende Chat 0.0.7 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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Release v20241227
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