Model Overview

The Torsahaphat/thai-dialect_korat_model-merged is a 3.1 billion parameter language model based on the Qwen2 architecture. Developed by Torsahaphat, this model has been instruction-tuned to specialize in the Thai Korat dialect.

Key Characteristics

• Base Model: Fine-tuned from unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit.
• Training Efficiency: Leverages Unsloth and Huggingface's TRL library for 2x faster fine-tuning.
• Parameter Count: Features 3.1 billion parameters, offering a balance between performance and computational efficiency.
• Context Length: Supports a context length of 32768 tokens.
• License: Distributed under the Apache-2.0 license.

Use Cases

This model is particularly well-suited for applications requiring:

• Thai Korat Dialect Processing: Understanding, generating, or translating text in the Korat dialect of Thai.
• Localized Content Creation: Developing content or chatbots tailored for speakers of the Korat dialect.
• Research in Dialectal NLP: Studying and experimenting with regional linguistic variations within the Thai language.