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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
Model Card on HF 🤗: https://huggingface.co/lordjia/Qwen2-Cantonese-7B-Instruct 

Qwen2 Cantonese 7B Instruct Benchmarks

MMLU Pro: 31.59
GPQA: 6.04
MUSR: 7.81
BBH: 32.45
IFEval: 54.35 vs 88 (so35)-38.2%
MATH Lvl 5: 9.59
LLME Score: 0.27587
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 🤗https://huggingface.co/lordjia/Qwen2-Cantonese-7B-Instruct 
Model Size7b
Required VRAM15.4 GB
Updated2025-02-05
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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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