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Bruphin Kappa by nbeerbower

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  Merged Model   Autotrain compatible Base model:nbeerbower/bruphin-... Base model:nbeerbower/bruphin-...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Bruphin Kappa Benchmarks

ARC: 70.05 vs 96.7 (so35)-27.6%
HellaSwag: 87.38 vs 95.3 (gpt4)-8.3%
MMLU: 64.9 vs 88.3 (so35)-26.5%
TruthfulQA: 65.99 vs 59 (gpt4)11.8%
WinoGrande: 82.95 vs 87.5 (gpt4)-5.2%
GSM8K: 69.37 vs 96.4 (so35)-28%
LLME Score: 0.21629
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Bruphin Kappa Parameters and Internals

LLM NameBruphin Kappa
Repository 🤗https://huggingface.co/nbeerbower/bruphin-kappa 
Base Model(s)  Bruphin Iota   Bruphin Epsilon   nbeerbower/bruphin-iota   nbeerbower/bruphin-epsilon
Merged ModelYes
Model Size7.2b
Required VRAM14.5 GB
Updated2024-09-07
Maintainernbeerbower
Model Typemistral
Model Files  9.8 GB: 1-of-2   4.7 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Bruphin Kappa (nbeerbower/bruphin-kappa)

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/bruphin-kappa.

Rank the Bruphin Kappa 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 v2024072803
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