---
base_model: unsloth/Qwen2.5-1.5B-Instruct
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2.5
license: apache-2.0
language:
- en
- hi
---

As calling operations scale, it becomes clear that dialing and talking is not enough.
Even with a strong voice AI + telephony architecture, the real value shows up only when post-call actions are captured and executed in a robust, dependable and consistent way. Closing the loop matters more than just connecting the call.

To support that, we’re releasing our Hindi + English transcript analytics model tuned specifically for call transcripts:

You can plug it into your calling or voice AI stack to automatically extract:
	•	Enum-based classifications (e.g., call outcome, intent, disposition)
	•	Conversation summaries
	•	Action items / follow-ups

It’s built to handle real-world Hindi, English, and mixed Hinglish calls, including noisy transcripts.


- **Developed by:** RinggAI
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Qwen2.5-1.5B-Instruct



[<img style="border-radius: 20px;" src="https://storage.googleapis.com/desivocal-prod/desi-vocal/logo.png" width="200"/>](https://ringg.ai)
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)