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Qwen2 Cantonese 7B Instruct by lordjia

By lordjia · 121 downloads

Qwen2 Cantonese 7B Instruct is an open-source language model by lordjia. Features: 7b LLM, VRAM: 15.4GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.21.

  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 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 πŸ€—https://huggingface.co/lordjia/Qwen2-Cantonese-7B-Instruct 
Model Size7b
Required VRAM15.4 GB
Updated2026-07-29
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.