Full training methodology, data details, decoding configuration, and the post-processing pipeline this adapter is meant to be used with are documented in the companion GitHub repository:aym-n/kav

Adapter details

Base model: facebook/nllb-200-distilled-1.3B
Method: LoRA (PEFT), r=32, alpha=64, dropout=0.05
Target modules: q_proj, k_proj, v_proj, out_proj, fc1, fc2 (attention and feed-forward layers)
Source language: eng_Latn — Target language: kas_Arab

aymanmakroo/kav

kāv: English to Kashmiri Machine Translation

Adapter details

aymanmakroo/
kav