sarvamai / text-generation Open weights updated 7 months ago

sarvam-30b

Name: sarvam-30b
Author: sarvamai

1. Introduction 2. Architecture 3. Benchmarks - Knowledge & Coding - Reasoning & Math - Agentic 4. Inference - Hugging Face - vLLM - SGLang 5. Footnote 6. Citation

Params

32.2 B

Context

131,072

Downloads 30d

217 K

Likes

230

Commercial use: allowed apache-2.0 Not gated SAFETENSORS 23 languages View on Hugging Face ↗

Download history

daily snapshots · 61 days

▲ 0 in the last 30 days (0.0%)

306 K217 K

Sep 11Oct 1Oct 21Nov 10

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f32	128.6 GB	146.8 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 128K ctx	128.6 GB	219.1 GB	❌ Won’t fit

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/sarvam-30b
{
  "hf_id": "sarvamai/sarvam-30b",
  "params_b": 32.15,
  "context_length": 131072,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 216547,
  "vram_estimates": [
    { "quant": "f32", "gb": 146.8 }
  ],
  "updated_at": "2026-09-11T01:00:33Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: SarvamMoEForCausalLM
Parameters: 32.2 B
Tensor type: F32
Context length: 131,072
Vocabulary: 262,144
Layers / heads: 19 / 64
Licence: apache-2.0
First seen on the Hub: 2026-03-03
Training datasets: undisclosed
Added to our catalog: 2026-09-11

Compare with any text-generation model

Popular comparisons

Qwen3-14B 12.9 M gpt-oss-20b 5.8 M dolphin-2.9.1-yi-1.5-34b 4.8 M Qwen3.6-35B-A3B-NVFP4 4.0 M OTel-2.0-Decision-26B-A4B-4bit 3.2 M Qwen3-32B 3.0 M