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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
Model Card on HF 🤗: https://huggingface.co/bofenghuang/vigogne-mpt-7b-instruct 

Vigogne Mpt 7B Instruct Benchmarks

LLME Score: 0.11564
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 (bofenghuang/vigogne-mpt-7b-instruct)

Vigogne Mpt 7B Instruct Parameters and Internals

Model Type 
text generation
Additional Notes 
Vigogne is still under development with limitations such as potential for generating harmful or biased content, incorrect information, or generally unhelpful answers.
Supported Languages 
French (Proficient)
Input Output 
Accepted Modalities:
text
LLM NameVigogne Mpt 7B Instruct
Repository 🤗https://huggingface.co/bofenghuang/vigogne-mpt-7b-instruct 
Model Size7b
Required VRAM13.4 GB
Updated2025-02-22
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

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Mpt 7B Chat0K / 13.3 GB95245512
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Mpt 7B 8K Instruct0K / 13.3 GB205726
Sea Lion 7B Instruct Research0K / 15 GB5614
Results0K / 13.3 GB60
...7B 8K Instruct Peft Compatible0K / 13.3 GB171
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...pt 7B Instruct Peft Compatible0K / 13.3 GB430
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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Release v20241227
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