Sea Lion 7B Instruct Research by aisingapore

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  Arxiv:2309.06085   Autotrain compatible   Conversational   Custom code   En   Endpoints compatible   Id   Instruct   Km   Lo   Mpt   Ms   My   Region:us   Safetensors   Sharded   Ta   Tensorflow   Th   Tl   Vi   Zh

Sea Lion 7B Instruct Research Benchmarks

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

Sea Lion 7B Instruct Research Parameters and Internals

LLM NameSea Lion 7B Instruct Research
Repository ๐Ÿค—https://huggingface.co/aisingapore/sea-lion-7b-instruct-research 
Model Size7b
Required VRAM15 GB
Updated2024-09-07
Maintaineraisingapore
Model Typempt
Instruction-BasedYes
Model Files  9.9 GB: 1-of-2   5.1 GB: 2-of-2
Supported Languagesen zh id ms tl my vi th lo km ta
Model ArchitectureMPTForCausalLM
Licensecc-by-nc-sa-4.0
Transformers Version4.31.0
Tokenizer ClassSEABPETokenizer
Vocabulary Size256000
Torch Data Typebfloat16
Sea Lion 7B Instruct Research (aisingapore/sea-lion-7b-instruct-research)

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Mpt 7B 8K Instruct0K / 13.3 GB81525
Results0K / 13.3 GB80
Mpt 7B 8K Chat Sharded Bf160K / 13.4 GB81
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Vigogne Mpt 7B Instruct0K / 13.4 GB60
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Note: green Score (e.g. "73.2") means that the model is better than aisingapore/sea-lion-7b-instruct-research.

Rank the Sea Lion 7B Instruct Research 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