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Llama 3.1 Cantonese 8B Instruct by lordjia

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  Cantonese   Chat   Conversational Dataset:jed351/cantonese-wikip... Dataset:lordjia/cantonese engl...   En   Endpoints compatible   Gguf   Instruct   Llama   Llama3.1   Q4   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/lordjia/Llama-3.1-Cantonese-8B-Instruct 

Llama 3.1 Cantonese 8B Instruct Benchmarks

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%
LLME Score: 0.26043
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 Cantonese 8B Instruct (lordjia/Llama-3.1-Cantonese-8B-Instruct)

Llama 3.1 Cantonese 8B Instruct Parameters and Internals

LLM NameLlama 3.1 Cantonese 8B Instruct
Repository 🤗https://huggingface.co/lordjia/Llama-3.1-Cantonese-8B-Instruct 
Model Size8b
Required VRAM16.1 GB
Updated2024-12-22
Maintainerlordjia
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB   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
GGUF QuantizationYes
Quantization Typeq4|gguf
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.43.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than lordjia/Llama-3.1-Cantonese-8B-Instruct.

Rank the Llama 3.1 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 v20241217
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