Qwen2-Cantonese-7B-Instruct

Model Overview / 模型概述

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.

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。

Model Features / 模型特性

• Base Model: Qwen2-7B-Instruct
• Fine-tuning Method: LoRA instruction tuning
• Training Steps: 4572 steps
• Primary Language: Cantonese / 粵語
• Datasets:
  • jed351/cantonese-wikipedia
  • raptorkwok/cantonese-traditional-chinese-parallel-corpus
• Training Tools: LLaMA-Factory

Quantized Version / 量化版本

A 4-bit quantized version of this model is also available: qwen2-cantonese-7b-instruct-q4_0.gguf.

此外，仲提供此模型嘅4位量化版本：qwen2-cantonese-7b-instruct-q4_0.gguf。

Alternative Model Recommendations / 備選模型舉薦

For alternatives, consider the following models, both fine-tuned by LordJia on Cantonese language tasks:

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：

1. Llama-3-Cantonese-8B-Instruct based on Meta-Llama-3-8B-Instruct.
2. Llama-3.1-Cantonese-8B-Instruct based on Meta-Llama-3.1-8B-Instruct.

License / 許可證

This model is licensed under the Apache 2.0 license. Please review the terms before use.

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。

Contributors / 貢獻

• LordJia https://ai.chao.cool

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	23.50
IFEval (0-Shot)	54.35
BBH (3-Shot)	32.45
MATH Lvl 5 (4-Shot)	8.76
GPQA (0-shot)	6.04
MuSR (0-shot)	7.81
MMLU-PRO (5-shot)	31.59