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Gemma2 9B Cpt Sea Lionv3 Instruct by aisingapore

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Gemma2 9B Cpt Sea Lionv3 Instruct Benchmarks

LLME Score: 0.31524
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Gemma2 9B Cpt Sea Lionv3 Instruct Parameters and Internals

LLM NameGemma2 9B Cpt Sea Lionv3 Instruct
Repository 🤗https://huggingface.co/aisingapore/gemma2-9b-cpt-sea-lionv3-instruct 
Base Model(s)  Gemma2 9B Cpt Sea Lionv3 Base   aisingapore/gemma2-9b-cpt-sea-lionv3-base
Model Size9b
Required VRAM18.6 GB
Updated2024-11-21
Maintaineraisingapore
Model Typegemma2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.7 GB: 4-of-4
Supported Languagesen zh vi id th ta ms km lo my jv su
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.45.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
Gemma2 9B Cpt Sea Lionv3 Instruct (aisingapore/gemma2-9b-cpt-sea-lionv3-instruct)

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Note: green Score (e.g. "73.2") means that the model is better than aisingapore/gemma2-9b-cpt-sea-lionv3-instruct.

Rank the Gemma2 9B Cpt Sea Lionv3 Instruct 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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