Model is finetuned from UltraChat version of Gemma-7b (CorticalStack/gemma-7b-ultrachat-sft) and is finetuned on 9 Indian languages (Hindi, Tamil, Punjabi, Bengali, Gujarati, Oriya, Telugu, Kannada, Malayalam) plus English.
The model is trained on close sourced GenZ_Vikas dataset, created entirely by university students ageing (18-22), hence the name GenZ. Which comprises of 5.5 million Hindi instruction sets and 0.5 million instruction sets in rest of the languages plus English.
The model was trained on single A100 for 9 days, 17 hours.
And is benchmarked on Indic LLM leaderboard:- https://huggingface.co/spaces/Cognitive-Lab/indic_llm_leaderboard Where it outperforms our previous models (GemmaOrca and GemmaUltra) on Hindi benchmarks. And also scores above Meta-llama-3 on all currenty available benchmarks (ARC, Hellaswag) in Hindi language.
Release notes:- https://www.linkedin.com/feed/update/urn:li:activity:7188399797291175936
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