Qwen2 Cantonese 7B Instruct by lordjia

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  Autotrain compatible   Cantonese   Chat   Conversational Dataset:jed351/cantonese-wikip... Dataset:raptorkwok/cantonese-t...   En   Endpoints compatible   Gguf   Instruct   Model-index   Q4   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh

Qwen2 Cantonese 7B Instruct Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 Cantonese 7B Instruct (lordjia/Qwen2-Cantonese-7B-Instruct)

Qwen2 Cantonese 7B Instruct Parameters and Internals

Model Type 
text-generation
Supported Languages 
Cantonese (fluent)
Training Details 
Data Sources:
jed351/cantonese-wikipedia, raptorkwok/cantonese-traditional-chinese-parallel-corpus
Methodology:
LoRA instruction tuning
LLM NameQwen2 Cantonese 7B Instruct
Repository ๐Ÿค—https://huggingface.co/lordjia/Qwen2-Cantonese-7B-Instruct 
Model Size7b
Required VRAM15.4 GB
Updated2024-12-26
Maintainerlordjia
Model Typeqwen2
Instruction-BasedYes
Model Files  4.0 GB: 1-of-4   3.9 GB: 2-of-4   3.9 GB: 3-of-4   3.6 GB: 4-of-4   4.4 GB
Supported Languageszh en
GGUF QuantizationYes
Quantization Typegguf|q4
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.42.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than lordjia/Qwen2-Cantonese-7B-Instruct.

Rank the Qwen2 Cantonese 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217