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Model: lordjia/Qwen2-Cantonese-7B-Instruct Source: Original Platform
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README.md
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README.md
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---
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language:
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- zh
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- en
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license: apache-2.0
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tags:
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- Cantonese
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- Qwen2
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- chat
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datasets:
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- jed351/cantonese-wikipedia
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- raptorkwok/cantonese-traditional-chinese-parallel-corpus
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pipeline_tag: text-generation
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model-index:
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- name: Qwen2-Cantonese-7B-Instruct
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 54.35
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lordjia/Qwen2-Cantonese-7B-Instruct
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 32.45
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lordjia/Qwen2-Cantonese-7B-Instruct
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 8.76
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lordjia/Qwen2-Cantonese-7B-Instruct
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 6.04
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lordjia/Qwen2-Cantonese-7B-Instruct
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 7.81
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lordjia/Qwen2-Cantonese-7B-Instruct
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 31.59
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lordjia/Qwen2-Cantonese-7B-Instruct
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name: Open LLM Leaderboard
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---
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# Qwen2-Cantonese-7B-Instruct
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## Model Overview / 模型概述
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Qwen2-Cantonese-7B-Instruct is a Cantonese language model based on Qwen2-7B-Instruct, fine-tuned using LoRA. It aims to enhance Cantonese text generation and comprehension capabilities, supporting various tasks such as dialogue generation, text summarization, and question-answering.
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Qwen2-Cantonese-7B-Instruct係基於Qwen2-7B-Instruct嘅粵語語言模型，使用LoRA進行微調。 它旨在提高粵語文本的生成和理解能力，支持各種任務，如對話生成、文本摘要和問答。
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## Model Features / 模型特性
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- **Base Model**: Qwen2-7B-Instruct
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- **Fine-tuning Method**: LoRA instruction tuning
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- **Training Steps**: 4572 steps
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- **Primary Language**: Cantonese / 粵語
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- **Datasets**:
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- [jed351/cantonese-wikipedia](https://huggingface.co/datasets/jed351/cantonese-wikipedia)
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- [raptorkwok/cantonese-traditional-chinese-parallel-corpus](https://huggingface.co/datasets/raptorkwok/cantonese-traditional-chinese-parallel-corpus)
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- **Training Tools**: [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory)
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## Quantized Version / 量化版本
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A 4-bit quantized version of this model is also available: [qwen2-cantonese-7b-instruct-q4_0.gguf](https://huggingface.co/lordjia/Qwen2-Cantonese-7B-Instruct/blob/main/qwen2-cantonese-7b-instruct-q4_0.gguf).
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此外，仲提供此模型嘅4位量化版本：[qwen2-cantonese-7b-instruct-q4_0.gguf](https://huggingface.co/lordjia/Qwen2-Cantonese-7B-Instruct/blob/main/qwen2-cantonese-7b-instruct-q4_0.gguf)。
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## Alternative Model Recommendations / 備選模型舉薦
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For alternatives, consider the following models, both fine-tuned by LordJia on Cantonese language tasks:
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揾其他嘅話，可以諗下呢啲模型，全部都係LordJia用廣東話嘅工作調教好嘅：
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1. [Llama-3-Cantonese-8B-Instruct](https://huggingface.co/lordjia/Llama-3-Cantonese-8B-Instruct) based on Meta-Llama-3-8B-Instruct.
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2. [Llama-3.1-Cantonese-8B-Instruct](https://huggingface.co/lordjia/Llama-3.1-Cantonese-8B-Instruct) based on Meta-Llama-3.1-8B-Instruct.
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## License / 許可證
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This model is licensed under the Apache 2.0 license. Please review the terms before use.
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此模型喺Apache 2.0許可證下獲得許可。 請在使用前仔細閱讀呢啲條款。
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## Contributors / 貢獻
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- LordJia [https://ai.chao.cool](https://ai.chao.cool/)
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_lordjia__Qwen2-Cantonese-7B-Instruct)
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| Metric |Value|
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|Avg. |23.50|
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|IFEval (0-Shot) |54.35|
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|BBH (3-Shot) |32.45|
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|MATH Lvl 5 (4-Shot)| 8.76|
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|GPQA (0-shot) | 6.04|
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|MuSR (0-shot) | 7.81|
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|MMLU-PRO (5-shot) |31.59|
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