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---
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title: iApp Technology
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colorFrom: blue
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colorTo: purple
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sdk: static
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pinned: true
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---
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<div align="center">
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<img src="https://iapp.co.th/img/logo.svg" alt="iApp Technology Logo" width="120"/>
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# iApp Technology
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### Thailand's Leading Sovereign AI Company
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[](https://iapp.co.th)
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[](https://iapp.co.th/docs)
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[](https://discord.gg/kYcpmdEcS2)
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**Empowering businesses with enterprise-grade AI solutions built for Thai language and local use cases.**
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[Explore Our APIs](https://iapp.co.th/docs) | [View Pricing](https://iapp.co.th/pricing) | [Contact Us](https://iapp.co.th/contact-us)
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</div>
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---
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## About Us
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**iApp Technology Co., Ltd.** is Thailand's leading sovereign AI company, providing enterprise-grade artificial intelligence solutions built specifically for Thai language and local use cases. We serve **100+ enterprise customers** including banks, insurance companies, and government agencies, with over **50 million API calls** processed.
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- **Founded:** With a mission to make AI accessible to Thai enterprises
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- **Certifications:** ISO 29110, iBeta PAD Level 1 & 2
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- **Compliance:** PDPA and GDPR compliant
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- **Headquarters:** Bangkok, Thailand
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Learn more at [iapp.co.th/about-us](https://iapp.co.th/about-us)
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---
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## Featured Models
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### Chinda Thai LLM
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Our flagship Thai language model, optimized for Thai text understanding and generation.
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| Model | Parameters | Description | Link |
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|-------|------------|-------------|------|
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| **[chinda-qwen3-4b](https://huggingface.co/iapp/chinda-qwen3-4b)** | 4B | Full-precision Thai LLM for text generation | [Try API](https://iapp.co.th/docs/llm/chinda-4b) |
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| **[chinda-qwen3-4b-gguf](https://huggingface.co/iapp/chinda-qwen3-4b-gguf)** | 4B | GGUF format for local deployment (Ollama, LM Studio) | [Tutorial](https://iapp.co.th/openmodels/chinda-llm-ollama-tutorial) |
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| **[Qwen2.5-VL-7B-Instruct](https://huggingface.co/iapp/Qwen2.5-VL-7B-Instruct)** | 7B | Vision-Language model for image understanding | [Docs](https://iapp.co.th/docs) |
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**FREE API Access:** Chinda Thai LLM 4B API is FREE until Dec 31, 2025!
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[Get Started](https://iapp.co.th/blog/introducing-chinda-llm-api-free-thai-language-model)
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---
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## Open Datasets
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We believe in advancing AI research through open collaboration. Here are our publicly available datasets:
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### Evaluation & Benchmarking
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| Dataset | Size | Downloads | Description |
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|---------|------|-----------|-------------|
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| [OpenThaiEval](https://huggingface.co/datasets/iapp/openthaieval) | 1,200 | 52 | Comprehensive evaluation dataset for Thai LLMs |
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| [OpenAI HumanEval-TH](https://huggingface.co/datasets/iapp/openai_humaneval-th) | 164 | 164 | Thai translation of OpenAI's HumanEval |
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| [Code Generation Lite-TH](https://huggingface.co/datasets/iapp/code_generation_lite-th) | 111 | 111 | Code generation evaluation in Thai context |
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### Mathematics & Reasoning
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| Dataset | Size | Downloads | Description |
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|---------|------|-----------|-------------|
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| [AIME 2024-TH](https://huggingface.co/datasets/iapp/aime_2024-th) | 30 | 30 | Thai AIME 2024 math problems |
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| [Math-500-TH](https://huggingface.co/datasets/iapp/math-500-th) | 500 | 500 | Thai mathematics reasoning dataset |
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| [AIMO Validation AIME-TH](https://huggingface.co/datasets/iapp/aimo-validation-aime-th) | 90 | 90 | AI Mathematical Olympiad validation |
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### Training & Specialized Datasets
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| Dataset | Size | Downloads | Description |
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|---------|------|-----------|-------------|
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| [Thai-R1-Distill-SFT](https://huggingface.co/datasets/iapp/Thai-R1-Distill-SFT) | 10K | 10K+ | SFT dataset for reasoning capabilities |
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| [Thai Handwriting Dataset](https://huggingface.co/datasets/iapp/thai_handwriting_dataset) | 13.6K | 13.6K+ | Thai handwritten text for OCR |
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| [RAG Thai Laws](https://huggingface.co/datasets/iapp/rag_thai_laws) | 42.8K | 42.8K+ | Thai legal documents for RAG systems |
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| [Thai Famous People Images](https://huggingface.co/datasets/iapp/thai_famous_people_images_dataset) | 4.2K | 4.2K+ | Thai celebrity face dataset |
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Browse all datasets: [huggingface.co/datasets/iapp](https://huggingface.co/datasets/iapp)
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---
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## Research & Publications
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Our research team actively contributes to advancing AI for Thai language:
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### 2025
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- **[OpenThaiGPT 1.6 and R1](https://arxiv.org/abs/2504.01789)** - Thai-Centric Open Source and Reasoning Large Language Models
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*Sumeth Yuenyong, Thodsaporn Chay-intr, Kobkrit Viriyayudhakorn*
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- **[LLaVAC: Fine-tuning LLaVA as a Multimodal Sentiment Classifier](https://arxiv.org/abs/2502.02938)**
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*T. Chay-intr, Y. Chen, K. Viriyayudhakorn, T. Theeramunkong*
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### 2024
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- **[OpenThaiGPT 1.5: Technical Report](https://link.springer.com/chapter/10.1007/978-3-031-97144-0_19)** - NLDB 2024
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*Sumeth Yuenyong, Kobkrit Viriyayudhakorn, et al.*
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View all publications: [iapp.co.th/researches/publications](https://iapp.co.th/researches/publications)
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---
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## Enterprise AI APIs
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Beyond open source, we provide production-ready AI APIs:
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| Category | APIs | Documentation |
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|----------|------|---------------|
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| **E-KYC** | Face Verification, Liveness Detection, ID Card OCR | [Docs](https://iapp.co.th/docs/category/-electronic-know-your-customer-e-kyc) |
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| **LLM** | Chinda Thai LLM, DeepSeek, Thanoy Legal AI | [Docs](https://iapp.co.th/docs/category/-large-language-model) |
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| **OCR** | Thai ID Card, Passport, Driver License, Documents | [Docs](https://iapp.co.th/docs/category/-thai-document-optical-character-recognition-thai-document-ocr) |
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| **Speech** | Thai ASR (Speech-to-Text), TTS (Text-to-Speech) | [Docs](https://iapp.co.th/docs/category/%EF%B8%8F-speech-technology) |
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| **NLP** | Translation, Sentiment Analysis, Summarization | [Docs](https://iapp.co.th/docs/category/-thai-natural-language-processing) |
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| **Smart City** | License Plate Recognition, Object Detection | [Docs](https://iapp.co.th/docs/category/%EF%B8%8F-smart-city-ai) |
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[View Full API Catalog](https://iapp.co.th/docs) | [Pricing](https://iapp.co.th/pricing)
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---
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## Quick Start
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### Using Chinda via API
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```python
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from openai import OpenAI
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client = OpenAI(
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api_key="your-iapp-api-key",
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base_url="https://api.iapp.co.th/v3/llm/chinda-4b"
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)
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response = client.chat.completions.create(
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model="chinda-4b",
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messages=[
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{"role": "user", "content": "สวัสดีครับ ช่วยแนะนำอาหารไทยให้หน่อย"}
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]
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)
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print(response.choices[0].message.content)
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```
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### Using Chinda Locally (Ollama)
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```bash
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# Pull the model
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ollama pull hf.co/iapp/chinda-qwen3-4b-gguf
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# Run chat
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ollama run hf.co/iapp/chinda-qwen3-4b-gguf
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```
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[Full Ollama Tutorial](https://iapp.co.th/openmodels/chinda-llm-ollama-tutorial) | [LM Studio Tutorial](https://iapp.co.th/openmodels/chinda-lm-studio-tutorial)
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---
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## Community & Support
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- **Discord:** [Join our community](https://discord.gg/kYcpmdEcS2)
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- **GitHub:** [github.com/iapp-technology](https://github.com/iapp-technology)
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- **Documentation:** [iapp.co.th/docs](https://iapp.co.th/docs)
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- **Blog:** [iapp.co.th/blog](https://iapp.co.th/blog)
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- **API Status:** [status.iapp.co.th](https://status.iapp.co.th/status/iapp-ai-apis)
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---
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## Citation
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If you use our models or datasets in your research, please cite:
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```bibtex
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@misc{iapp_chinda_2024,
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author = {iApp Technology Research Team},
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title = {Chinda: Thai Large Language Model},
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year = {2024},
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publisher = {iApp Technology},
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url = {https://iapp.co.th/openmodels/chinda-opensource-llm}
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}
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@misc{iapp_datasets_2024,
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author = {iApp Technology Research Team},
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title = {iApp Open Datasets for Thai AI Research},
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year = {2024},
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publisher = {iApp Technology},
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url = {https://iapp.co.th/researches/datasets}
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}
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```
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---
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## Contact
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**iApp Technology Co., Ltd.**
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- **Website:** [https://iapp.co.th](https://iapp.co.th)
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- **Email:** sale@iapp.co.th
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- **Phone:** 086-322-5858
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- **Location:** Bangkok, Thailand
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[Contact Us](https://iapp.co.th/contact-us) | [Careers](https://iapp.co.th/careers)
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---
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<div align="center">
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**Made with in Thailand**
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*Advancing Thai AI for the World*
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[](https://iapp.co.th)
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</div>
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