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SeaLLMs V3.1.5B by SeaLLMs

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SeaLLMs V3.1.5B is an open-source language model by SeaLLMs. Features: 1.5b LLM, VRAM: 6.2GB, Context: 128K, License: other, LLM Explorer Score: 0.14.

  Arxiv:2009.03300   Arxiv:2306.05179   Arxiv:2407.19672   Conversational   En   Endpoints compatible   Id   Jv   Ms   Multilingual   Qwen2   Region:us   Safetensors   Sea   Sharded   Ta   Tensorflow   Th   Tl   Vi   Zh
Model Card on HF 🤗: https://huggingface.co/SeaLLMs/SeaLLMs-v3-1.5B 

SeaLLMs V3.1.5B Benchmarks

LLME Score: 0.14489
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SeaLLMs V3.1.5B (SeaLLMs/SeaLLMs-v3-1.5B)
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SeaLLMs V3.1.5B Parameters and Internals

Use Cases 
Areas:
Southeast Asian languages
Primary Use Cases:
Multilingual language handling, Translation, Instruction-following, Mathematical reasoning, World knowledge tasks
Additional Notes 
Ensures safety in usage with significantly reduced instances of hallucination and sensitivity to local contexts.
Supported Languages 
en (English), zh (Chinese), id (Indonesian), vi (Vietnamese), th (Thai), ms (Malay), tl (Tagalog), ta (Tamil), jv (Javanese)
LLM NameSeaLLMs V3.1.5B
Repository 🤗https://huggingface.co/SeaLLMs/SeaLLMs-v3-1.5B 
Model Size1.5b
Required VRAM6.2 GB
Updated2026-05-12
MaintainerSeaLLMs
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2
Supported Languagesen zh id vi th ms tl ta jv
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.38.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than SeaLLMs/SeaLLMs-v3-1.5B.

Rank the SeaLLMs V3.1.5B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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