sarvam-m-onnx

Sarvam-M

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Model Information

sarvam-m is a multilingual, hybrid-reasoning, text-only language model built on Mistral-Small. This post-trained version delivers exceptional improvements over the base model:

• +20% average improvement on Indian language benchmarks
• +21.6% enhancement on math benchmarks
• +17.6% boost on programming benchmarks

Performance gains are even more impressive at the intersection of Indian languages and mathematics, with an outstanding +86% improvement in romanized Indian language GSM-8K benchmarks.

Learn more about sarvam-m in our detailed blog post.

Key Features

• Hybrid Thinking Mode: A single versatile model supporting both "think" and "non-think" modes. Use the think mode for complex logical reasoning, mathematical problems, and coding tasks, or switch to non-think mode for efficient, general-purpose conversation.

• Advanced Indic Skills: Specifically post-trained on Indian languages alongside English, embodying a character that authentically reflects and emphasizes Indian cultural values.

• Superior Reasoning Capabilities: Outperforms most similarly-sized models on coding and math benchmarks, demonstrating exceptional reasoning abilities.

• Seamless Chatting Experience: Full support for both Indic scripts and romanized versions of Indian languages, providing a smooth and accessible multilingual conversation experience.

Convertion

The original model is converted to onnx using OnnxRuntime-GenAI develop by Microsoft .

Quickstart

The following code snippet demonstrates how to use sarvam-m using Onnx.

[!NOTE] For thinking mode, we recommend temperature=0.5; for no-think mode, temperature=0.2.