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- title: README
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- emoji: 💻
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- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ title: iApp Technology
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+ <div align="center">
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+
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+ <img src="https://iapp.co.th/img/logo.svg" alt="iApp Technology Logo" width="120"/>
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+
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+ # iApp Technology
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+
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+ ### Thailand's Leading Sovereign AI Company
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+
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+ [![Website](https://img.shields.io/badge/Website-iapp.co.th-blue?style=for-the-badge&logo=googlechrome&logoColor=white)](https://iapp.co.th)
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+ [![API Docs](https://img.shields.io/badge/API_Docs-Documentation-green?style=for-the-badge&logo=bookstack&logoColor=white)](https://iapp.co.th/docs)
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+ [![Discord](https://img.shields.io/badge/Discord-Community-5865F2?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/kYcpmdEcS2)
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+
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+ **Empowering businesses with enterprise-grade AI solutions built for Thai language and local use cases.**
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+
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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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+
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+ </div>
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+
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+ ---
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+
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+ ## About Us
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+
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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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+
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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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+
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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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+ ---
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+
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+ ## Featured Models
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+
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+ ### Chinda Thai LLM
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+
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+ Our flagship Thai language model, optimized for Thai text understanding and generation.
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+
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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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+
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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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+ ---
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+
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+ ## Open Datasets
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+
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+ We believe in advancing AI research through open collaboration. Here are our publicly available datasets:
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+
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+ ### Evaluation & Benchmarking
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+
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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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+
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+ ### Mathematics & Reasoning
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+
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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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+
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+ ### Training & Specialized Datasets
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+
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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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+
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+ Browse all datasets: [huggingface.co/datasets/iapp](https://huggingface.co/datasets/iapp)
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+
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+ ---
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+
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+ ## Research & Publications
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+
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+ Our research team actively contributes to advancing AI for Thai language:
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+
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+ ### 2025
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+
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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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+
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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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+
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+ ### 2024
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+
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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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+
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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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+ ---
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+
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+ ## Enterprise AI APIs
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+
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+ Beyond open source, we provide production-ready AI APIs:
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+
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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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+
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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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+ ---
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+
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+ ## Quick Start
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+
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+ ### Using Chinda via API
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+
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+ ```python
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+ from openai import OpenAI
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+
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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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+
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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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+
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+ print(response.choices[0].message.content)
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+ ```
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+
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+ ### Using Chinda Locally (Ollama)
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+
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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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+
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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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+
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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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+ ---
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+
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+ ## Community & Support
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+
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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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+ ---
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+
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+ ## Citation
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+
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+ If you use our models or datasets in your research, please cite:
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+
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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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+
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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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+ ---
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+
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+ ## Contact
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+
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+ **iApp Technology Co., Ltd.**
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+
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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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+
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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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+ ---
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+
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+ <div align="center">
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+
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+ **Made with in Thailand**
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+
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+ *Advancing Thai AI for the World*
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+ [![iApp Technology](https://img.shields.io/badge/iApp-Technology-blue?style=flat-square)](https://iapp.co.th)
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+
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+ </div>