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What is Sarvam 105B?

Sarvam-105B is recognized as the leading large language model in Sarvam's collection of open-source tools, crafted to deliver outstanding reasoning skills, multilingual understanding, and agent-driven functionality within a cohesive and scalable system. This Mixture-of-Experts (MoE) architecture features an astonishing 105 billion parameters, activating only a portion for each token processed, which ensures remarkable computational efficiency while handling complex tasks. It is specifically tailored for sophisticated reasoning, programming, mathematical problem-solving, and agentic functions, making it ideal for situations that require multi-step solutions and structured outputs instead of just basic dialogue. With an impressive capacity to process lengthy contexts of around 128K tokens, Sarvam-105B is adept at managing extensive texts, lengthy conversations, and intricate analytical tasks, maintaining coherence throughout these engagements. Furthermore, its versatile design allows for a wide array of applications, equipping users with powerful tools to address a multitude of intellectual challenges. This flexibility enhances its utility across various domains, further solidifying its status as a premier choice for advanced language model needs.

What is Nemotron 3 Super?

The Nemotron-3 Super stands out as a groundbreaking addition to NVIDIA's Nemotron 3 series of open models, designed specifically to support advanced agentic AI systems capable of reasoning, planning, and executing complex multi-step workflows in challenging settings. It incorporates a distinctive hybrid Mamba-Transformer Mixture-of-Experts architecture that combines the streamlined capabilities of Mamba layers with the contextual richness offered by transformer attention mechanisms, enabling it to effectively handle long sequences and complicated reasoning tasks with notable precision and efficiency. By activating only a selected subset of its parameters for each token, this design greatly improves computational efficiency while ensuring strong reasoning skills, making it particularly suitable for scalable inference in demanding situations. With an impressive configuration of around 120 billion parameters, of which approximately 12 billion are engaged during inference, the Nemotron-3 Super significantly enhances its capacity for managing multi-step reasoning and facilitating collaborative interactions among agents in broad contexts. This combination of features not only empowers it to address a wide array of challenges in the AI landscape but also positions it as a key player in the evolution of intelligent systems. Overall, the model exemplifies the potential for future innovations in AI technology.

Media

Media

Integrations Supported

Hugging Face
Nemotron 3
Perplexity Computer
Perplexity Pro
Sarvam AI
Together AI

Integrations Supported

Hugging Face
Nemotron 3
Perplexity Computer
Perplexity Pro
Sarvam AI
Together AI

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Sarvam

Date Founded

2023

Company Location

India

Company Website

www.sarvam.ai/blogs/sarvam-30b-105b

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

nvidia.com

Categories and Features

Categories and Features

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