What is Sarvam-M?
Sarvam-M is a cutting-edge multilingual large language model designed to excel in a variety of Indian languages while seamlessly tackling complex mathematical and programming tasks within a unified framework. Built upon the Mistral-Small architecture, it features a powerful configuration with 24 billion parameters and has undergone extensive refinement through methods like supervised fine-tuning and reinforcement learning, ensuring both accuracy and efficiency. This model is expertly crafted to support over ten major Indic languages, effectively managing native scripts, romanized text, and code-mixed entries, which promotes fluid multilingual communication across diverse settings. Furthermore, Sarvam-M incorporates a hybrid reasoning approach that allows it to switch between an in-depth “thinking” mode for challenging problems, such as mathematics and logic puzzles, and a quick response mode for more routine questions, striking an optimal balance between rapidity and performance. As such, Sarvam-M stands out as an essential resource for users who wish to navigate an increasingly varied linguistic landscape, enhancing their interaction with technology in meaningful ways. Its innovative design positions it as a key player in advancing language model capabilities in the realm of multilingual applications.
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Sarvam Indus
Indus serves as the official conversational AI platform for Sarvam, created to facilitate effortless user interaction with its advanced sovereign language models through a user-friendly real-time chat interface. Introduced in February 2026 during a limited beta phase, this platform acts as the primary means for users to engage with Sarvam's impressive 105-billion-parameter model, which integrates intricate reasoning capabilities, multilingual understanding, and conversational traits into a single application. Specifically designed for the Indian audience, Indus supports more than 22 Indian languages, incorporating native scripts and code-mixed inputs while maintaining cultural and contextual relevance for effective communication. It enables users to interact through both text and voice, allowing for natural conversations and responses that can be delivered in text form or as synthesized audio, thus creating an accessible, voice-first interface suitable for various use cases. This forward-thinking approach not only boosts user interaction but also significantly expands the reach of AI technology, making it more accessible to individuals from a multitude of backgrounds and enhancing the overall experience of engaging with artificial intelligence. Furthermore, this inclusive design aims to bridge communication gaps, ensuring that users feel empowered and understood, regardless of their linguistic preferences.
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Sarvam 30B
Sarvam-30B is a cutting-edge open-source language model designed as a robust platform for real-time conversational AI and intricate reasoning tasks, highlighting its effectiveness in multilingual environments and practical applications. With its impressive 30 billion parameters, the model leverages a Mixture-of-Experts (MoE) approach that activates only a fraction of its parameters for each interaction, enabling high efficiency and minimal latency, making it ideal for use in resource-constrained settings such as local devices and edge computing systems. It stands out in a variety of conversational scenarios, programming challenges, and logical reasoning tasks, delivering remarkable performance in more than 20 Indian languages, which highlights its versatility for multilingual use and voice recognition systems. Its dual-tier architecture positions it as a rapid and easily deployable "conversational workhorse," employing MoE strategies to reduce computational demands while maintaining top-notch performance. This innovative model not only improves the overall user experience but also expands its accessibility across a wide range of linguistic contexts, making it a valuable tool for developers and businesses aiming to engage diverse audiences effectively. Additionally, Sarvam-30B's design allows for continuous improvement and adaptation, ensuring that it remains relevant in the ever-evolving landscape of AI technology.
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Company Facts
Company Name:
Sarvam
Date Founded:
2023
Company Location:
India
Company Website:
www.sarvam.ai/blogs/sarvam-m
Product Details
Deployment
SaaS
Training Options
Documentation Hub
Online Training
Video Library
Support
24 Hour Support
Web-Based Support
Product Details
Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English