Sahabat-AI
Indonesia's sovereign open-source LLM family covering Bahasa, Javanese, Sundanese, Balinese, and Bataknese
Sahabat-AI is an open-source Indonesian LLM platform best for SMEs, banks, and public-sector teams that need Bahasa-first AI under PDP Law data residency rules. Its SEA edge is sovereign infrastructure — 70B open weights running on Lintasarta's GPU Merdeka inside Indonesia, plus native coverage of Javanese, Sundanese, Balinese, and Bataknese alongside Bahasa and English. The caveat: at 38 reviews and counting, the production ecosystem (tooling, fine-tuning shops, monitoring) is still nascent compared to GPT-4 or Claude, so deployment work is more DIY than buying OpenAI access.
- ✓Free, open-weights 70B model under permissive license for self-hosting
- ✓Five Indonesian local languages including Javanese and Sundanese — unmatched coverage
- ✓Hosted on Lintasarta GPU Merdeka inside Indonesia — clean PDP Law data residency story
- ✓Smaller 8B and 9B variants reduce GPU cost for SMEs
- ✓Backed by GoTo and Indosat — credible long-term funding and distribution
- ×Production tooling and ops ecosystem still thin compared to GPT-4 or Claude
- ×Self-hosting requires meaningful MLOps capability that most Indonesian SMEs lack
- ×Reviews count of 38 reflects how early the production deployments are
- ×Outside Indonesia, no native Thai, Vietnamese, or Tagalog coverage
About Sahabat-AI
Sahabat-AI is the open-source Indonesian LLM project led by GoTo and Indosat Ooredoo Hutchison, with infrastructure backed by Lintasarta's GPU Merdeka. The flagship model is now 70 billion parameters with a multilingual chat service at sahabat-ai.com and inside the GoPay app. Models are downloadable from Hugging Face for self-hosting under permissive licenses.
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The questions operators actually ask.
Is Sahabat-AI free to use?
Yes. Models are downloadable from Hugging Face under permissive licenses, and the hosted chat at sahabat-ai.com is free. Self-hosting cost depends on your GPU infrastructure.
Does Sahabat-AI satisfy Indonesian PDP Law data residency?
Yes, if self-hosted or used via the GPU Merdeka infrastructure inside Indonesia. The whole point of the project is sovereign AI that keeps prompts and data inside the country.
Can Sahabat-AI handle Javanese and Sundanese?
Yes, those are first-class supported languages alongside Bahasa Indonesia, Balinese, Bataknese, and English. This is the model's clearest moat versus GPT-4 or Llama.
Is Sahabat-AI as capable as GPT-4 for Bahasa Indonesia?
It depends on the task. For Bahasa and regional languages, the 70B model is competitive. For complex reasoning and English-heavy tasks, GPT-4 still wins. Most production teams use both.