Sarvam-30B (Deprecated)

Sarvam-30B (Chat LLM)

A 30B parameter Mixture-of-Experts reasoning model trained from scratch, optimized for Indian languages with only 2.4B active parameters per token. Delivers strong reasoning, coding, and conversational capabilities while remaining efficient to deploy.

Highlights:

• 30B total parameters, 2.4B active: efficient MoE architecture with Grouped Query Attention
• Pre-trained on 16 trillion tokens across code, math, multilingual, and web data
• State-of-the-art Indian language performance across native and romanized scripts
• Optimized inference for H100, L40S, and Apple Silicon (MXFP4)
• OpenAI-compatible chat completions API

At a Glance

Key Features

Learn More

For detailed information on architecture, training methodology, performance benchmarks, and inference optimizations, visit our blog.

Model Specifications

Key Capabilities

from sarvamai import SarvamAI
client = SarvamAI(
    api_subscription_key="YOUR_SARVAM_API_KEY",
)
response = client.chat.completions(
    model="sarvam-30b",
    messages=[
        {"role": "user", "content": "Explain the significance of the Indian monsoon season."}
    ],
    temperature=0.5,
    top_p=1,
    max_tokens=1000,
)
print(response.choices[0].message.content)

Limits

Known Limitations

Next Steps