Technical Specifications

Typhoon-2-8B

Typhoon-2-8B is a large language model specifically engineered to address the linguistic requirements of the Thai language while maintaining the broad capabilities of the Llama 3 architecture. Developed by SCB 10X, the model undergoes a specialized training process that involves extending the base tokenizer with Thai-specific tokens and performing continual pre-training on a high-quality Thai corpus. This adaptation ensures that the model can process Thai text with higher efficiency and accuracy compared to general-purpose multilingual models, particularly in domains such as Thai law, local administration, and cultural contexts.

The technical architecture follows a dense transformer structure utilizing Grouped-Query Attention (GQA) to optimize inference speed and memory consumption. It incorporates Rotary Positional Embeddings (RoPE) and is configured with a context window of 128,000 tokens, enabling the processing of long-form documents and complex multi-turn conversations. The model utilizes the SwiGLU activation function and Root Mean Square Layer Normalization (RMSNorm) to stabilize training and improve representation learning across its 32 layers.

Function calling capabilities are integrated into the model, allowing it to interact with external tools and APIs by generating structured data outputs. This functionality makes it suitable for agentic workflows, automated administrative tasks, and specialized information retrieval systems where precise Thai language understanding is required. The model is released under the Apache 2.0 license, facilitating both research and commercial applications in the Thai technology ecosystem.

No evaluation benchmarks for Typhoon-2-8B available.