openthaigpt/openthaigpt1.5-7b-instruct
OpenThaiGPT/openthaigpt1.5-7b-instruct is a 7-billion-parameter Thai language chat model developed by OpenThaiGPT, based on Qwen v2.5. It is specifically fine-tuned on over 2,000,000 Thai instruction pairs, excelling at answering Thai-specific domain questions. This model supports multi-turn conversations, RAG compatibility, and tool calling, with an impressive context handling of up to 131,072 tokens.
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OpenThaiGPT 1.5 7B Instruct: Thai-Centric Chat Model
OpenThaiGPT 1.5 7B Instruct is a 7-billion-parameter Thai language chat model, fine-tuned by OpenThaiGPT on over 2,000,000 Thai instruction pairs. Released on September 30, 2024, and built upon Qwen v2.5, this model is optimized for Thai-specific domain questions and general Thai chat.
Key Capabilities
- State-of-the-art Thai Language Performance: Achieves the highest average scores across various Thai language exams compared to other open-source Thai LLMs, including a micro average of 65.78% on the OpenThaiGPT Eval benchmark.
- Extensive Context Handling: Processes up to 131,072 tokens of input and generates up to 8,192 tokens, enabling detailed and complex interactions.
- Multi-turn Conversation Support: Facilitates extended and coherent dialogues.
- RAG Compatibility: Designed for Retrieval Augmented Generation to enhance response accuracy and relevance.
- Tool Calling Support: Enables efficient function calls for external APIs (e.g., weather data) through intelligent responses.
Good for
- Thai Language Applications: Ideal for chatbots, customer service, and content generation requiring deep understanding and generation in Thai.
- Limited GPU Environments: The 7B parameter size makes it suitable for deployment on systems with less powerful GPUs, such as an Nvidia RTX 4060 8GB for 4-bit quantized versions.
- Research and Commercial Use: Licensed under the Qwen license, allowing both research and commercial applications, with specific terms for large user bases.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.