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Gemma SEA LION V3 9B by aisingapore

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Gemma SEA LION V3 9B is an open-source language model by aisingapore. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, LLM Explorer Score: 0.16.

  Arxiv:2101.09635   Arxiv:2502.14301   Arxiv:2504.05747 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/Gemma-SEA-LION-v3-9B 

Gemma SEA LION V3 9B Benchmarks

LLME Score: 0.16183
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma SEA LION V3 9B (aisingapore/Gemma-SEA-LION-v3-9B)
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Gemma SEA LION V3 9B Parameters and Internals

LLM NameGemma SEA LION V3 9B
Repository 🤗https://huggingface.co/aisingapore/Gemma-SEA-LION-v3-9B 
Base Model(s)  Gemma 2 9B   google/gemma-2-9b
Model Size9b
Required VRAM18.6 GB
Updated2026-04-06
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

Best Alternatives to Gemma SEA LION V3 9B

Best Alternatives
Context / RAM
Downloads
Likes
G2 GSHT 32K32K / 20.4 GB41
SystemGemma2 9B It32K / 18.6 GB62
GWQ 9B Preview28K / 18.6 GB1310
Gemma 2 9B It8K / 18.6 GB120
Gemma 2 9B It8K / 18.6 GB384958793
Gemma 2 9B It SimPO8K / 18.6 GB511172
Turkish Gemma 9B T18K / 18.6 GB49652175
Gemma 2 9B8K / 37.1 GB68850699
Gemma 2 9B It Advanced V2.18K / 20.4 GB629
Gemma Evo 10B8K / 20.4 GB2845
Note: green Score (e.g. "73.2") means that the model is better than aisingapore/Gemma-SEA-LION-v3-9B.

Rank the Gemma SEA LION V3 9B 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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