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Vigogne Mpt 7B Instruct by bofenghuang

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  Autotrain compatible   Custom code   Fr   Instruct   Mpt   Pytorch   Region:us   Sharded

Vigogne Mpt 7B Instruct Benchmarks

LLME Score: 0.13085
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Vigogne Mpt 7B Instruct Parameters and Internals

LLM NameVigogne Mpt 7B Instruct
Repository 🤗https://huggingface.co/bofenghuang/vigogne-mpt-7b-instruct 
Model Size7b
Required VRAM13.4 GB
Updated2024-10-04
Maintainerbofenghuang
Model Typempt
Instruction-BasedYes
Model Files  1.9 GB: 1-of-7   1.9 GB: 2-of-7   2.0 GB: 3-of-7   1.9 GB: 4-of-7   1.9 GB: 5-of-7   1.9 GB: 6-of-7   1.9 GB: 7-of-7
Supported Languagesfr
Model ArchitectureMPTForCausalLM
Licenseopenrail
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat16
Vigogne Mpt 7B Instruct (bofenghuang/vigogne-mpt-7b-instruct)

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Sea Lion 7B Instruct Research0K / 15 GB5014
Results0K / 13.3 GB50
Mpt 7B 8K Chat Sharded Bf160K / 13.4 GB61
...7B 8K Instruct Peft Compatible0K / 13.3 GB91
...pt 7B Instruct Peft Compatible0K / 13.3 GB90
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Note: green Score (e.g. "73.2") means that the model is better than bofenghuang/vigogne-mpt-7b-instruct.

Rank the Vigogne Mpt 7B Instruct 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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