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OpenOrca Platypus2 13B Thera 1250 by gaodrew

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

OpenOrca Platypus2 13B Thera 1250 Benchmarks

ARC: 59.22 vs 96.7 (so35)-38.8%
HellaSwag: 81.02 vs 95.3 (gpt4)-15%
MMLU: 57.04 vs 88.3 (so35)-35.4%
TruthfulQA: 48.43 vs 59 (gpt4)-17.9%
WinoGrande: 73.09 vs 87.5 (gpt4)-16.5%
GSM8K: 8.57 vs 96.4 (so35)-91.1%
LLME Score: 0.18925
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

OpenOrca Platypus2 13B Thera 1250 Parameters and Internals

LLM NameOpenOrca Platypus2 13B Thera 1250
Repository 🤗https://huggingface.co/gaodrew/OpenOrca-Platypus2-13B-thera-1250 
Model Size13b
Required VRAM26 GB
Updated2024-09-07
Maintainergaodrew
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32002
Torch Data Typefloat16
OpenOrca Platypus2 13B Thera 1250 (gaodrew/OpenOrca-Platypus2-13B-thera-1250)

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VRAM
... Platypus2 13B Thera 1250 Gptq197 GB

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Note: green Score (e.g. "73.2") means that the model is better than gaodrew/OpenOrca-Platypus2-13B-thera-1250.

Rank the OpenOrca Platypus2 13B Thera 1250 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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