ALLaM vs. AceGPT

Two Saudi Arabic LLMs with different missions: ALLaM built for Vision 2030 public sector, AceGPT for open research.

🇸🇦Saudi Arabia

ALLaM

SDAIA / IBM

Arabic LLM by SDAIA and IBM Research for Saudi Vision 2030 public sector applications.

Sizes:7B

🇸🇦Saudi Arabia

KAUST

Arabicized LLM from KAUST, fine-tuned from Llama 2 on Arabic instruction data.

Sizes:7B, 13B

ALLaM vs. AceGPT — side-by-side comparison of ALLaM and AceGPT
Aspect	ALLaM	AceGPT
Primary mission	Saudi public sector / Vision 2030	Open academic research
Development partner	SDAIA + IBM Research	KAUST (academic)
Size	7B	7B, 13B
Base model	IBM-proprietary foundation	Llama 2 adaptation
Openness	Enterprise / government-focused	Open source (Apache 2.0)
Best for	Government Arabic services, healthcare, education	Research, open Arabic instruction-following tasks

Bottom Line

ALLaM is production-ready for Saudi government deployment with IBM backing. AceGPT is more accessible for researchers and open deployment.

SDAIA · Mar 10

SDAIA · Feb 2

SDAIA · Jan 16