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Mpt 30B Orca Mini by julep-ai-archive

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  Autotrain compatible   Custom code   Mpt   Pytorch   Region:us   Sharded

Mpt 30B Orca Mini Benchmarks

LLME Score: 0.13064
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mpt 30B Orca Mini Parameters and Internals

LLM NameMpt 30B Orca Mini
Repository 🤗https://huggingface.co/julep-ai-archive/mpt-30b-orca-mini 
Model Size30b
Required VRAM180.5 GB
Updated2024-10-18
Maintainerjulep-ai-archive
Model Typempt
Model Files  9.8 GB: 1-of-7   9.9 GB: 1-of-13   9.9 GB: 2-of-7   9.9 GB: 2-of-13   9.9 GB: 3-of-7   9.9 GB: 3-of-13   9.9 GB: 4-of-7   9.9 GB: 4-of-13   9.9 GB: 5-of-7   9.9 GB: 5-of-13   9.9 GB: 6-of-7   9.9 GB: 6-of-13   0.8 GB: 7-of-7   9.9 GB: 7-of-13   9.9 GB: 8-of-13   9.9 GB: 9-of-13   9.9 GB: 10-of-13   9.9 GB: 11-of-13   9.9 GB: 12-of-13   1.6 GB: 13-of-13
Model ArchitectureMPTForCausalLM
Model Max Length8192
Transformers Version4.30.2
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat32
Mpt 30B Orca Mini (julep-ai-archive/mpt-30b-orca-mini)

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Note: green Score (e.g. "73.2") means that the model is better than julep-ai-archive/mpt-30b-orca-mini.

Rank the Mpt 30B Orca Mini 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 v2024072803
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