openthaigpt/openthaigpt1.5-14b-instruct

Hugging Face
TEXT GENERATIONConcurrent Unit Cost:1Model Size:14BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Oct 12, 2024License:qwenArchitecture:Transformer0.0K Featherless Exclusive Warm

OpenThaiGPT 1.5 14B Instruct is a 14-billion-parameter Thai language chat model developed by OpenThaiGPT, based on Qwen v2.5. It is fine-tuned on over 2,000,000 Thai instruction pairs, excelling at answering Thai-specific domain questions. The model supports multi-turn conversations, RAG compatibility, and tool calling, with an impressive context handling of up to 131,072 tokens for input and 8,192 tokens for generation.

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OpenThaiGPT 1.5 14B Instruct: Thai-Centric LLM

OpenThaiGPT 1.5 14B Instruct is a 14-billion-parameter language model developed by OpenThaiGPT, built upon the Qwen v2.5 architecture. Released on October 13, 2024, this model is specifically fine-tuned on over 2,000,000 Thai instruction pairs, making it highly proficient in understanding and generating Thai language.

Key Capabilities & Features

  • State-of-the-art Thai Language Performance: Achieves high average scores across various Thai language exams, outperforming other open-source Thai LLMs in its class.
  • Extensive Context Handling: Capable of processing up to 131,072 input tokens and generating up to 8,192 output tokens, facilitating detailed and complex interactions.
  • Multi-turn Conversation Support: Designed for extended and coherent dialogues.
  • Retrieval Augmented Generation (RAG) Compatibility: Enhances response generation by integrating external knowledge.
  • Tool Calling Support: Enables the model to efficiently call various functions, including external APIs for real-time data retrieval or predictions.

Benchmarks

On the OpenThaiGPT Eval, this model achieved a Micro Average of 71.51% across 17 Thai language multiple-choice exams. It also scored 59.65% on the scb10x/thai_exam dataset, positioning it competitively against other models, including larger ones.

When to Use This Model

  • Thai Language Applications: Ideal for any application requiring robust Thai language understanding and generation.
  • Chatbots and Conversational AI: Excellent for building interactive agents that can handle multi-turn conversations in Thai.
  • Information Retrieval: Benefits from RAG compatibility for enhanced accuracy in answering domain-specific Thai questions.
  • Automated Task Execution: Leverage tool calling for integrating with external services and automating workflows based on user queries.

Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

temperature
top_p
top_k
frequency_penalty
presence_penalty
repetition_penalty
min_p