SILMA AI
Open Arabic LLMs and dialect-aware TTS, free-weighted on Hugging Face
Overview
SILMA AI builds open-weights Arabic LLMs and a bilingual TTS model with instant voice cloning, plus Saudi Najdi-dialect speech, for developers and enterprises who need Arabic-native language and voice tools rather than translated Western ones.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 12 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
What you can produce with SILMA AI
- SILMA-9B-Instruct: open-weights Arabic LLM built on Gemma2 (Gemma license)
- SILMA TTS v1: 150M-param bilingual Arabic/English voice model with instant voice cloning
- Dedicated Saudi Najdi-dialect TTS model
- Open Arabic LLM Leaderboard (ABL) benchmark suite
- Custom Arabic model development and consulting
- Open distribution via Hugging Face, GitHub and Ollama
ASEAN Perspective
SILMA AI in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
SILMA AI's pitch is narrow and well-executed: Arabic speech and text, done properly, instead of bolted onto a Western model as an afterthought. SILMA TTS v1 is a 150-million-parameter bilingual Arabic/English voice model built on F5-TTS with instant voice cloning and a dedicated Najdi-dialect Saudi variant — genuinely useful if you need Arabic speech synthesis and don't want to fight accent artifacts. SILMA-9B-Instruct, built on Google's Gemma2, held the top spot on the Open Arabic LLM Leaderboard among open-weights models until February 2025 despite being a fraction of the size of rivals.
Everything ships open — MIT-licensed code, Hugging Face weights, an Ollama listing — so you can evaluate it yourself for free before any consulting engagement. The tradeoff is scale: this is a small team (GitHub follower and star counts are in the dozens, not thousands), so support and roadmap pace will feel more like an open-source project than an enterprise vendor.
What people say
There's no consumer review trail for SILMA AI — no G2, no app-store ratings — because the audience is developers and enterprises evaluating Arabic-language models, and the evidence that matters lives on Hugging Face and GitHub instead.
SILMA-9B-Instruct, built on Google's Gemma2 architecture, pulls around 2,980 downloads a month on Hugging Face and scores 78.19% on Arabic ARC Challenge, 78.89% on ACVA and 86% on Arabic ARC Easy on the Open Arabic LLM Leaderboard. SILMA's own documentation describes it as the top-ranked open-weights Arabic LLM until February 2025, "surpassing models over seven times larger" — a claim worth treating as a vendor benchmark rather than an independent audit, but the underlying leaderboard numbers are public and checkable.
On the speech side, SILMA TTS v1 is a 150M-parameter bilingual Arabic/English model built on the F5-TTS diffusion architecture, released under a permissive license with instant voice cloning and pronunciation control, plus a dedicated model for the Saudi Najdi dialect. The company publishes explicit voice-cloning consent rules — cloning requires documented permission from the speaker and bars use for deepfakes or fraud — which is more governance than most TTS vendors bother to state up front.
The GitHub organization (SILMA-AI) has three public repos: silma-tts (26 stars, 6 forks, MIT license), an Arabic-AI-ecosystem tracker, and a resources repo, all actively updated as recently as May 2026. That's a small footprint — this reads as a focused research-and-consulting shop rather than a company with thousands of production deployments — but for a team building open Arabic-native models, the work is real and independently verifiable rather than marketing copy.
Beyond the flagship LLM and TTS releases, SILMA also runs a public Arabic LLM leaderboard (ABL) that ranks other vendors' models on the same benchmark suite it uses for its own, and it lists premium consulting and custom model development as a separate service line for enterprises that need something beyond the open releases. None of that shows up as a star rating anywhere, but combined with the download and benchmark numbers it's a reasonable proxy for a working, actively maintained business rather than an abandoned research project.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including SILMA AI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with SILMA AI unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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