Llama SEA LION V2 8B by aisingapore

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  Arxiv:2101.09635   Arxiv:2309.06085   Arxiv:2504.05747   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   En   Endpoints compatible   Id   Instruct   Llama   Region:us   Safetensors   Sharded   Ta   Tensorflow   Th   Vi

Llama SEA LION V2 8B Benchmarks

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 V2 8B (aisingapore/Llama-SEA-LION-v2-8B)

Llama SEA LION V2 8B Parameters and Internals

LLM NameLlama SEA LION V2 8B
Repository ๐Ÿค—https://huggingface.co/aisingapore/Llama-SEA-LION-v2-8B 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-04-30
Maintaineraisingapore
Model Typellama
Instruction-BasedYes
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 id ta th vi
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
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-v2-8B.

Rank the Llama SEA LION V2 8B 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 v20241227