Multilingual powerhouse — testing for mobile deployment
This model covers Hebrew, Finnish, Spanish, German, Portuguese — exactly the kind of multilingual capability we need for global mobile AI.
At Dispatch AI (FZE, UAE), we're building mobile AI that works for everyone. Models like this are the foundation.
We benchmark multilingual models on our 40-phone farm (Snapdragon 865) to see which maintain quality across languages when quantized to 4-bit. Results vary wildly — some lose 30% quality in non-English after quantization.
Would love to see multilingual eval at different quantization levels.
- Dispatch AI (FZE), Sharjah UAE
This model is fine-tuned specifically on Korean and English data. The plan is to build separate dual-language model variants for different language pairs, such as English–japanese, English–Hindi, English–Arabic, and others.
Each model will be optimized for its target language pair and released as a 4-bit quantized version with minimal quality loss, making it suitable for efficient deployment while preserving strong performance.