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WangchanLION V3 by aisingapore

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  Arxiv:2507.14664   Autotrain compatible Base model:aisingapore/wangcha... Base model:finetune:aisingapor...   Conversational   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Th
Model Card on HF 🤗: https://huggingface.co/aisingapore/WangchanLION-v3 

WangchanLION V3 Benchmarks

LLME Score: 0.256
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WangchanLION V3 (aisingapore/WangchanLION-v3)
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WangchanLION V3 Parameters and Internals

LLM NameWangchanLION V3
Repository 🤗https://huggingface.co/aisingapore/WangchanLION-v3 
Base Model(s)  WangchanLION V3   aisingapore/WangchanLION-v3
Model Size8b
Required VRAM16.1 GB
Updated2025-07-23
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 th
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.43.4
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/WangchanLION-v3.

Rank the WangchanLION V3 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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