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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
Model Card on HF 🤗: https://huggingface.co/aisingapore/sea-lion-7b-instruct-gptq 

Sea Lion 7B Instruct Gptq Benchmarks

LLME Score: 0.17281
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 (aisingapore/sea-lion-7b-instruct-gptq)

Sea Lion 7B Instruct Gptq Parameters and Internals

Model Type 
Decoder
Additional Notes 
SEA-LION is aimed at supporting Southeast Asian languages with open and high-quality datasets.
Supported Languages 
en (high), zh (high), id (high), vi (high), ms (high), tl (high), ta (high), my (high), th (high), lo (high), km (high)
Training Details 
Data Sources:
Commercially permissive datasets
Methodology:
Parameter efficient fine tuning using LoRA
Hardware Used:
8x A100-40GB
Input Output 
Input Format:
Tokenized text
Accepted Modalities:
text
Output Format:
Text completions
Performance Tips:
Adjust generation parameters like temperature and top_k for different results.
LLM NameSea Lion 7B Instruct Gptq
Repository 🤗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
Updated2025-02-22
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

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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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Release v20241227
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