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Sarvam m

Model Overview

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.

Key Features include Hybrid Thinking Mode, Advanced Indic Skills, Superior Reasoning Capabilities & Seamless Chatting Experience.

Model Architecture

QPC Configurations

Precision SoCs / Tensor slicing NSP-Cores (per SoC) Full Batch Size Chunking Prompt Length Context Length (CL) Generated URL Download Generation Date
MXFP6 4 16 1 128 8192 https://dc00tk1pxen80.cloudfront.net/SDK1.20.4/sarvamai/sarvam-m/sarvam-m_qpc_16cores_128pl_8192cl_1fbs_4devices_mxfp6_mxint8.tar.gz Download 27-Feb-2026
MXFP6 8 16 1 128 8192 https://dc00tk1pxen80.cloudfront.net/SDK1.20.4/sarvamai/sarvam-m/sarvam-m_qpc_16cores_128pl_8192cl_1fbs_8devices_mxfp6_mxint8.tar.gz Download 27-Feb-2026

Run This Model

# Download QPC
mkdir -p sarvamai/sarvam-m
cd sarvamai/sarvam-m
wget <Download URL>
tar xzvf <downloaded filename.tar.gz>

# Run QPC
python3 -m QEfficient.cloud.execute --model_name sarvamai/sarvam-m --qpc_path <path/to/qpc> --prompt "# shortest path algorithm\n" --generation_len 128

API Endpoint

# Start REST endpoint with vLLM
VLLM_QAIC_MAX_CPU_THREADS=8 VLLM_QAIC_QPC_PATH=/path/to/qpc python3 -m vllm.entrypoints.openai.api_server \
  --host 0.0.0.0 \
  --port 8000 \
  --model sarvamai/sarvam-m \
  --max-model-len <Context Length> \
  --max-num-seq <Full Batch Size>  \
  --max-seq_len-to-capture <Chunking Prompt Length>  \
  --device qaic \
  --block-size 32