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Llama 3 Cantonese 8B Instruct by lordjia

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Llama 3 Cantonese 8B Instruct Benchmarks

MMLU Pro: 27.94
GPQA: 5.82
MUSR: 9.48
BBH: 26.79
IFEval: 66.69 vs 88 (so35)-24.2%
ARC: 61.26 vs 96.7 (so35)-36.6%
HellaSwag: 80.24 vs 95.3 (gpt4)-15.8%
MMLU: 63.1 vs 88.3 (so35)-28.5%
TruthfulQA: 55.15 vs 59 (gpt4)-6.5%
WinoGrande: 75.06 vs 87.5 (gpt4)-14.2%
GSM8K: 44.43 vs 96.4 (so35)-53.9%
MATH Lvl 5: 8.23
LLME Score: 0.34145
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 Cantonese 8B Instruct Parameters and Internals

LLM NameLlama 3 Cantonese 8B Instruct
Repository 🤗https://huggingface.co/lordjia/Llama-3-Cantonese-8B-Instruct 
Model Size8b
Required VRAM16.1 GB
Updated2024-09-16
Maintainerlordjia
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB   4.0 GB: 1-of-5   3.9 GB: 2-of-5   3.9 GB: 3-of-5   3.2 GB: 4-of-5   1.1 GB: 5-of-5
Supported Languagesen zh
GGUF QuantizationYes
Quantization Typeq4|gguf
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.42.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3 Cantonese 8B Instruct (lordjia/Llama-3-Cantonese-8B-Instruct)

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Rank the Llama 3 Cantonese 8B Instruct 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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Release v2024072803
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