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SeaLLMs V3.1.5B Chat by SeaLLMs

 »  All LLMs  »  SeaLLMs  »  SeaLLMs V3.1.5B Chat   URL Share it on

  4057   
  Arxiv:2306.05179   Arxiv:2407.19672   Autotrain compatible   Conversational   En   Endpoints compatible   Id   Jv   Ms   Multilingual   Qwen2   Region:us   Safetensors   Sea   Ta   Th   Tl   Vi   Zh
Model Card on HF 🤗: https://huggingface.co/SeaLLMs/SeaLLMs-v3-1.5B-Chat 

SeaLLMs V3.1.5B Chat Benchmarks

LLME Score: 0.25443
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 Chat (SeaLLMs/SeaLLMs-v3-1.5B-Chat)

SeaLLMs V3.1.5B Chat Parameters and Internals

Model Type 
multilingual, causal, instruction-following
Use Cases 
Areas:
Research, Commercial applications
Applications:
Translation, World knowledge, Mathematical reasoning, Instruction following
Primary Use Cases:
Handling languages in SEA region, Follows human instructions effectively for task completion
Considerations:
Ensure local governance and regulations are followed.
Additional Notes 
Significantly enhanced instruction-following capability, especially in multi-turn settings.
Supported Languages 
en (high), zh (high), id (high), vi (high), th (high), ms (high), tl (high), ta (high), jv (high)
Safety Evaluation 
Findings:
reduced instances of hallucination
Risk Categories:
inaccurate generation, misleading generation, potentially harmful generation
Ethical Considerations:
Developers and stakeholders should perform their own red teaming and provide related security measures before deployment, and they must abide by and comply with local governance and regulations.
Responsible Ai Considerations 
Mitigation Strategies:
Enhanced safety measures for trustworthy outputs.
Input Output 
Input Format:
Multi-turn chat
Accepted Modalities:
text
Output Format:
text
LLM NameSeaLLMs V3.1.5B Chat
Repository 🤗https://huggingface.co/SeaLLMs/SeaLLMs-v3-1.5B-Chat 
Model Size1.5b
Required VRAM3.1 GB
Updated2025-01-23
MaintainerSeaLLMs
Model Typeqwen2
Model Files  3.1 GB
Supported Languagesen zh id vi th ms tl ta jv
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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

Rank the SeaLLMs V3.1.5B Chat 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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