Mpt 30B V2 by iamplus

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  Autotrain compatible   Custom code   Dataset:ehartford/dolphin   Endpoints compatible   Mpt   Pytorch   Region:us   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/iamplus/mpt-30b-v2 

Mpt 30B V2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mpt 30B V2 (iamplus/mpt-30b-v2)

Mpt 30B V2 Parameters and Internals

Input Output 
Input Format:
: [system prompt] : [question] :
LLM NameMpt 30B V2
Repository ๐Ÿค—https://huggingface.co/iamplus/mpt-30b-v2 
Model Size30b
Required VRAM60.1 GB
Updated2024-12-22
Maintaineriamplus
Model Typempt
Model Files  9.8 GB: 1-of-7   9.9 GB: 2-of-7   9.9 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   9.9 GB: 6-of-7   0.8 GB: 7-of-7
Model ArchitectureMPTForCausalLM
Licenseapache-2.0
Model Max Length8192
Transformers Version4.30.2
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than iamplus/mpt-30b-v2.

Rank the Mpt 30B V2 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 v20241217