SEA-LION-7B
Parameters
7.1B
Context Length
2.048K
Modality
Text
Architecture
Dense
License
Apache-2.0
Release Date
1 Dec 2023
Knowledge Cutoff
-
Technical Specifications
Attention Structure
Multi-Head Attention
Hidden Dimension Size
-
Number of Layers
-
Attention Heads
-
Key-Value Heads
-
Activation Function
-
Normalization
-
Position Embedding
Absolute Position Embedding
System Requirements
VRAM requirements for different quantization methods and context sizes
SEA-LION-7B
SEA-LION-7B is a 7.1 billion parameter base model designed for Southeast Asian languages. It is trained on a 1 trillion token corpus including regional news and web content. The model uses the MPT architecture and is released under the Apache 2.0 license.
About SEA-LION
Southeast Asian Languages In One Network (SEA-LION) is a family of language models developed by AI Singapore for Southeast Asian languages. The models support English, Indonesian, Malay, Thai, Vietnamese, Tagalog, Burmese, Khmer, Lao, Tamil, and Chinese. It focuses on regional linguistic patterns and is available in base and instruction-tuned variants.
Other SEA-LION Models
Evaluation Benchmarks
No evaluation benchmarks for SEA-LION-7B available.
Rankings
Overall Rank
-
Coding Rank
-
GPU Requirements
Full Calculator
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Context Size: 1,024 tokens