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We Finally Have A Hugging Chat for Indic LLMs
We Finally Have A Hugging Chat for Indic LLMs
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We Finally Have A Hugging Chat for Indic LLMs

You can test out Indic chat models on this website.

Published Updated

Key takeaways

  • Explore the new Indic Chat platform for testing open-source Indic LLMs.
  • Utilize various Indic AI models available on Hugging Chat, including Gajendra and others.
  • Join Bhabha AI's Discord channel to collaborate on the development of Indic LLMs.
  • Access the OpenHermes-2.5 dataset containing 600,000 Hindi translations for training purposes.
  • Bhabha AI partners with Telugu LLM Labs for enhanced computing resources and model development.
5 min

Bhabha AI has unveiled Indic Chat, a playground for open source Indic LLMs. Built on top of Hugging Face’s Hugging Chat, the model hosts Indic AI models for people to chat and test out. 

Click here to check it out.

Currently, the interface has: 

  • Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0
  • GenVRadmin/AryaBhatta-GemmaOrca
  • BhabhaAI/Gajendra-v0.1
  • ai4bharat/Airavata

Additionally, users can also join the Discord channel which is now accessible to all for fostering collaboration and expediting the development of Indic LLMs. 

Bhabha AI has also published a version of the OpenHermes-2.5 instruction dataset comprising approximately 600,000 rows, which have been filtered and translated into Hindi.

Satpal Singh Rathore, the creator of Bhabha AI and Indic Chat collaborated with Telugu LLM Labs. Ramsri Goutham Golla & Ravi Theja Desetty from Telugu LLM Labs supported Bhabha AI for computing resources.

Few weeks back, Bhabha AI unveiled Gajendra, an early release of their 7B Hindi-Hinglish-English instruction fine-tuned language model built on top of Sarvam AI’s OpenHathi, which is built on top of Llama 2. 

In a forward-looking move, Bhabha AI is delving into the exploration of filtering examples that can be translated from English to Hindi. The initiative includes the release of initial versions of both the dataset and the corresponding model.

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