Tsunami-th/Tsunami-1.0-7B-Instruct
Tsunami-1.0-7B-Instruct is a 7.6 billion parameter Thai Large Language Model developed by Pollakrit Lorprasertkul. It is fine-tuned from Qwen2.5-7B using a Thai dataset, making it specialized for understanding and generating content in the Thai language. This model utilizes a 32K context length and is designed for instruction-following tasks in Thai. Its primary strength lies in its optimized performance for Thai natural language processing applications.
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Tsunami-1.0-7B-Instruct Overview
Tsunami-1.0-7B-Instruct is a 7.6 billion parameter instruction-tuned language model developed by Pollakrit Lorprasertkul. It is specifically fine-tuned from the Qwen2.5-7B architecture using an extensive Thai dataset, making it a specialized resource for Thai language processing. The model supports a context length of 32,768 tokens.
Key Capabilities
- Thai Language Specialization: Optimized for understanding and generating text in Thai due to its fine-tuning on a dedicated Thai dataset.
- Instruction Following: Designed to respond effectively to instructions, leveraging its instruction-tuned nature.
- ChatML Prompt Template: Utilizes the ChatML format for structured conversational inputs, ensuring consistent interaction.
Use Cases
This model is particularly well-suited for applications requiring robust Thai language capabilities, such as:
- Building chatbots or virtual assistants for Thai-speaking users.
- Content generation and summarization in Thai.
- Language understanding tasks specific to the Thai context.
Technical Details
The model is built upon the Qwen2.5-7B base and can be easily integrated into projects using the Hugging Face transformers library, with support for torch_dtype="auto" and device_map="auto" for efficient deployment.