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SeaLLMs V3 7B Chat by SeaLLMs

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SeaLLMs V3 7B Chat Benchmarks

MMLU Pro: 32.16
GPQA: 6.49
MUSR: 10.47
BBH: 33.8
IFEval: 43.77 vs 88 (so35)-50.3%
MATH Lvl 5: 15.11
LLME Score: 0.39348
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

SeaLLMs V3 7B Chat Parameters and Internals

LLM NameSeaLLMs V3 7B Chat
Repository 🤗https://huggingface.co/SeaLLMs/SeaLLMs-v3-7B-Chat 
Model Size7b
Required VRAM15.2 GB
Updated2024-09-16
MaintainerSeaLLMs
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen zh id vi th ms
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
SeaLLMs V3 7B Chat (SeaLLMs/SeaLLMs-v3-7B-Chat)

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Note: green Score (e.g. "73.2") means that the model is better than SeaLLMs/SeaLLMs-v3-7B-Chat.

Rank the SeaLLMs V3 7B Chat 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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