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Available now on ModelsLab · Language Model

Typhoon 2 70B InstructMaster Thai Instructions

Deploy Typhoon Precision

Bilingual Power

Thai-English Instruct

Handles ThaiExam at 63%, ONET at 65% with Llama 3.1 base.

Extended Context

128K Token Window

Processes complex documents via Typhoon 2 70B Instruct model.

Function Calling

Advanced Tool Use

Leads IFEval-TH, MT-Bench for Typhoon 2 70B Instruct API tasks.

Examples

See what Typhoon 2 70B Instruct can create

Copy any prompt below and try it yourself in the playground.

Thai Summary

Summarize this Thai news article on economic policy in 200 words, highlighting key impacts on businesses. Article: [insert Thai text]. Output in Thai.

Bilingual Q&A

Answer in Thai and English: What are the main causes of climate change? Provide three examples with data from recent reports.

Code Generation

Write Python code to analyze Thai text sentiment using transformers library. Include function calling for API integration.

Legal Analysis

Analyze this Thai contract excerpt for compliance risks. Suggest edits in bullet points, Thai only.

For Developers

A few lines of code.
Instruct Typhoon. One Call.

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

  • Serverless: scales to zero, scales to millions
  • Pay per token, no minimums
  • Python and JavaScript SDKs, plus REST API
import requests
response = requests.post(
"https://modelslab.com/api/v7/llm/chat/completions",
json={
"key": "YOUR_API_KEY",
"prompt": "",
"model_id": ""
}
)
print(response.json())

FAQ

Common questions about Typhoon 2 70B Instruct

Read the docs

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