Sea Lion 7B Instruct Gptq by aisingapore

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  4bit   Autotrain compatible   Custom code   En   Gptq   Id   Instruct   Km   Lo   Mpt   Ms   My   Quantized   Region:us   Ta   Th   Tl   Vi   Zh

Sea Lion 7B Instruct Gptq 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 Gptq Parameters and Internals

LLM NameSea Lion 7B Instruct Gptq
Repository ๐Ÿค—https://huggingface.co/aisingapore/sea-lion-7b-instruct-gptq 
Base Model(s)  Sea Lion 7B Instruct   aisingapore/sea-lion-7b-instruct
Model Size7b
Required VRAM5.5 GB
Updated2024-10-18
Maintaineraisingapore
Model Typempt
Instruction-BasedYes
Model Files  5.5 GB
Supported Languagesen zh id vi ms tl my th lo km ta
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureMPTForCausalLM
Licensemit
Transformers Version4.38.2
Tokenizer ClassSEABPETokenizer
Padding Token<|padding|>
Vocabulary Size256000
Torch Data Typefloat16
Sea Lion 7B Instruct Gptq (aisingapore/sea-lion-7b-instruct-gptq)

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Mpt 7B 8K Chat Gptq0K / 3.8 GB112
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Mpt 7B Instruct Q80K / 6.9 GB62
Mpt 7B Chat0K / 13.3 GB3955511
Mpt 7B Instruct0K / 13.3 GB6508463
Sea Lion 7B Instruct0K / 15 GB67522
Mpt 7B 8K Instruct0K / 13.3 GB118126
Sea Lion 7B Instruct Research0K / 15 GB5014
Mpt Instruct DotNet S0K / 4.6 GB11711
Results0K / 13.3 GB50
Note: green Score (e.g. "73.2") means that the model is better than aisingapore/sea-lion-7b-instruct-gptq.

Rank the Sea Lion 7B Instruct Gptq 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