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LLMs ·

Sarvam 30B

Parameters
32B (2.4B active)
Architecture
Mixture of experts
Max context
128K tokens
License
apache-2.0
Released
2026-03

How to run it

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

huggingface.co/sarvamai/sarvam-30b-gguf (opens in a new tab)

ollama run hf.co/sarvamai/sarvam-30b-gguf

Original weights · Hugging Face

Full-precision files from Sarvam AI, for fine-tuning, vLLM, Transformers.

huggingface.co/sarvamai/sarvam-30b (opens in a new tab)

No sign-in needed.

Links checked 5 days ago against Hugging Face, Ollama and GitHub.

Memory needed

Weights plus KV cache and runtime overhead. Leave a little extra free for the operating system and other apps.

Quantization Quality Weights Total at 8K context Total at 32K context Download
Q2_K Low 12.9 GB 13.6 GB 14.1 GB GGUF files (opens in a new tab)
Q3_K_M Low 15.8 GB 16.5 GB 17.0 GB GGUF files (opens in a new tab)
Q4_K_M Good 19.6 GB 20.4 GB 20.8 GB GGUF · part 1 of 6 (opens in a new tab)
Q5_K_M High 22.8 GB 23.6 GB 24.1 GB GGUF files (opens in a new tab)
Q6_K High 26.4 GB 27.1 GB 27.6 GB GGUF files (opens in a new tab)
Q8_0 Very high 34.1 GB 34.8 GB 35.3 GB GGUF files (opens in a new tab)
F16 Full 64.3 GB 65.1 GB 65.5 GB Original weights (opens in a new tab)

Best hardware for Sarvam 30B

The least expensive GPU in our catalog that runs it without offloading is the AMD Radeon RX 7600 XT (launch price $329) at Q2_K.

Grade · points Hardware Quant Memory Speed Fit
86 ptsExcellent (S) · 86 of 100 points: Model quality 31.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Apple M1 Max (64 GB) Q8_0 38.7 GB / 48.0 GB 44.8 tok/s Runs well
86 ptsExcellent (S) · 86 of 100 points: Model quality 31.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Apple M4 Max (64 GB) Q8_0 38.7 GB / 48.0 GB 61.2 tok/s Runs well
86 ptsExcellent (S) · 86 of 100 points: Model quality 31.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA RTX PRO 6000 Blackwell F16 69.9 GB / 96.0 GB 108 tok/s Runs well
86 ptsExcellent (S) · 86 of 100 points: Model quality 31.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Apple M4 Pro (48 GB) Q6_K 30.0 GB / 36.0 GB 41.7 tok/s Runs well
85 ptsExcellent (S) · 85 of 100 points: Model quality 30.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5090 Q5_K_M 25.2 GB / 32.0 GB 379 tok/s Runs well
83 ptsGreat (A) · 83 of 100 points: Model quality 29.9/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 AMD Radeon RX 7900 XTX Q4_K_M 21.6 GB / 24.0 GB 211 tok/s Tight fit
83 ptsGreat (A) · 83 of 100 points: Model quality 29.9/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 3090 Q4_K_M 21.6 GB / 24.0 GB 239 tok/s Tight fit
83 ptsGreat (A) · 83 of 100 points: Model quality 29.9/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4090 Q4_K_M 21.6 GB / 24.0 GB 258 tok/s Tight fit
83 ptsGreat (A) · 83 of 100 points: Model quality 31.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 12.3/15 Apple M2 Ultra (192 GB) F16 76.6 GB / 144 GB 41.3 tok/s Runs well
81 ptsGreat (A) · 81 of 100 points: Model quality 31.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 10.2/15 Apple M4 Max (128 GB) Q8_0 42.5 GB / 96.0 GB 61.2 tok/s Runs well

Check it on your own hardware

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.