Models
We release open models with the evidence needed to test every claim: weights, benchmarks, limitations, and reproducible results.
Kriti V1
An open 119M-parameter Nepali speech recognition model. It shares rank one on the development benchmark and holds the lowest raw word error rate across nineteen evaluated systems.
Open model pageKriti V1
Open weights, MITNepali speech recognition
Nepali, heard clearly.
Kriti is a 119M-parameter Nepali-only RNN-Transducer. It shares rank one on the development benchmark and records the lowest raw word error rate in the evaluated field of 19 systems.
- Live parameters
- 119M
- Primary WER
- 24.08%
- Benchmark rank
- #1
- Training audio
- 630 hrs
BarunLM 35M
An earlier compact base model, built to study how architecture and data quality interact under hard compute limits.