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Sea Lion 7B by aisingapore

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  Arxiv:2101.09635   Autotrain compatible   Custom code   En   Endpoints compatible   Fil   Id   Km   Lo   Mpt   Ms   My   Region:us   Safetensors   Sharded   Ta   Tensorflow   Th   Vi   Zh
Model Card on HF 🤗: https://huggingface.co/aisingapore/sea-lion-7b 

Sea Lion 7B Benchmarks

LLME Score: 0.18219
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 (aisingapore/sea-lion-7b)

Sea Lion 7B Parameters and Internals

Model Type 
Decoder
Additional Notes 
This is the repository for the base model. The model has not been aligned for safety.
Supported Languages 
en (English), zh (Chinese), id (Indonesian), ms (Malay), th (Thai), vi (Vietnamese), fil (Filipino), ta (Tamil), my (Burmese), km (Khmer), lo (Lao)
Training Details 
Data Sources:
RefinedWeb - English, mC4 - Chinese, mC4 - Indonesian, mC4 - Malay, mC4 - Filipino, mC4 - Burmese, mC4 - Vietnamese, mC4 - Thai, WangChanBERTa - Thai, mC4 - Lao, mC4 - Khmer, mC4 - Tamil, the Stack - Python, the Stack - Javascript, the Stack - Shell, the Stack - SQL, the Stack - Markdown, RedPajama - StackExchange, RedPajama - ArXiv
Data Volume:
980B tokens
Context Length:
2048
Training Time:
22 days
Hardware Used:
AWS EC2 p4d.24xlarge - 32 instances, Nvidia A100 40GB GPU - 256
Model Architecture:
Uses MPT architecture with 32 layers, d_model: 4096, head_dim: 32, Vocabulary: 256000, Sequence Length: 2048
LLM NameSea Lion 7B
Repository 🤗https://huggingface.co/aisingapore/sea-lion-7b 
Model Size7b
Required VRAM15 GB
Updated2024-12-21
Maintaineraisingapore
Model Typempt
Model Files  9.9 GB: 1-of-2   5.1 GB: 2-of-2
Supported Languagesen zh id ms th vi ta my km lo
Model ArchitectureMPTForCausalLM
Licensemit
Transformers Version4.34.1
Tokenizer ClassSEABPETokenizer
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than aisingapore/sea-lion-7b.

Rank the Sea Lion 7B 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  
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Release v20241217
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