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Gemma2 9B Cpt Sea Lionv3 Base by aisingapore

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Gemma2 9B Cpt Sea Lionv3 Base is an open-source language model by aisingapore. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, LLM Explorer Score: 0.17.

  Arxiv:2101.09635   Arxiv:2309.06085   Autotrain compatible Base model:finetune:google/gem...   Base model:google/gemma-2-9b   En   Endpoints compatible   Fil   Gemma2   Id   Km   Lo   Ms   My   Region:us   Safetensors   Sharded   Ta   Tensorflow   Th   Vi   Zh
Model Card on HF 🤗: https://huggingface.co/aisingapore/gemma2-9b-cpt-sea-lionv3-base 

Gemma2 9B Cpt Sea Lionv3 Base Benchmarks

LLME Score: 0.16664
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 Base (aisingapore/gemma2-9b-cpt-sea-lionv3-base)
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Gemma2 9B Cpt Sea Lionv3 Base Parameters and Internals

LLM NameGemma2 9B Cpt Sea Lionv3 Base
Repository 🤗https://huggingface.co/aisingapore/gemma2-9b-cpt-sea-lionv3-base 
Base Model(s)  Gemma 2 9B   google/gemma-2-9b
Model Size9b
Required VRAM18.6 GB
Updated2025-04-13
Maintaineraisingapore
Model Typegemma2
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
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.45.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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

Rank the Gemma2 9B Cpt Sea Lionv3 Base 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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