Llama-3-Cantonese-8B-Instruct

Model Overview / 模型概述

Llama-3-Cantonese-8B-Instruct is a Cantonese language model based on Meta-Llama-3-8B-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.

Llama-3-Cantonese-8B-Instruct係基於Meta-Llama-3-8B-Struct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: Meta-Llama-3-8B-Instruct
• Fine-tuning Method: LoRA instruction tuning
• Training Steps: 4562 steps
• Primary Language: Cantonese / 粵語
• Datasets:
  • jed351/cantonese-wikipedia
  • lordjia/Cantonese_English_Translation
• Training Tools: LLaMA-Factory

Quantized Version / 量化版本

A 4-bit quantized version of this model is also available: llama3-cantonese-8b-instruct-q4_0.gguf.

此模型的4位量化版本也可用：llama3-cantonese-8b-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. Qwen2-Cantonese-7B-Instruct based on Qwen2-7B-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 Llama 3 Community License. Please review the terms before use.

此模型根據Llama 3社區許可證獲得許可。 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.	24.16
IFEval (0-Shot)	66.69
BBH (3-Shot)	26.79
MATH Lvl 5 (4-Shot)	8.23
GPQA (0-shot)	5.82
MuSR (0-shot)	9.48
MMLU-PRO (5-shot)	27.94