Skip to content
← Models
Open weightsTether AI Research/10 trustVerified
TranslatePsy-AfriSLM logo

TranslatePsy-AfriSLM

Open-source offline translation for 19 African languages, from 800M parameters.

Visit official page →

About

Tether AI Research released TranslatePsy-AfriSLM on September 2, 2026, a family of open-source machine translation models designed to run entirely on device. The release covers 19 Sub-Saharan African languages including Hausa, Amharic, Yoruba, Swahili, Igbo, Zulu, Somali, Oromo and Xhosa.

The family ships in 800M, 2B and 4B parameter sizes. The smallest 800M model is compact enough to run offline on a phone or laptop, keeping user data on device rather than sending it to remote servers.

According to Tether's research paper, accepted at EMNLP 2026, the 800M model outperformed far larger systems including Qwen3.5-122B-A10B, TranslateGemma-27B and NLLB-3.3B across FLORES-200, BOUQuET and SMOL benchmarks. The team reports it removed 96% of low-quality training material, building on about 215 million bidirectional training examples.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

September 2, 2026

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

translationoffline-aiafrican-languageson-device

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 116; Trending score 82/100 from researcher assessment.

Sources