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Llama SEA LION V3 8B IT by aisingapore

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  Arxiv:2306.05685   Arxiv:2311.07911   Arxiv:2502.14301   Arxiv:2504.05747   Autotrain compatible Base model:aisingapore/llama-s... Base model:finetune:aisingapor...   Conversational   En   Endpoints compatible   Fil   Id   Jv   Km   Llama   Lo   Ms   My   Region:us   Safetensors   Sharded   Su   Ta   Tensorflow   Th   Vi   Zh
Model Card on HF 🤗: https://huggingface.co/aisingapore/Llama-SEA-LION-v3-8B-IT 

Llama SEA LION V3 8B IT Benchmarks

LLME Score: 0.26456
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama SEA LION V3 8B IT (aisingapore/Llama-SEA-LION-v3-8B-IT)

Llama SEA LION V3 8B IT Parameters and Internals

LLM NameLlama SEA LION V3 8B IT
Repository 🤗https://huggingface.co/aisingapore/Llama-SEA-LION-v3-8B-IT 
Base Model(s)  aisingapore/Llama-SEA-LION-v3-8B   aisingapore/Llama-SEA-LION-v3-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-04-28
Maintaineraisingapore
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen zh vi id th ta ms km lo my jv su
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.42.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than aisingapore/Llama-SEA-LION-v3-8B-IT.

Rank the Llama SEA LION V3 8B IT Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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