Model family · 4 sizes

Sarvam: which size runs locally?

Sarvam comes in 4 sizes, from 2B to 105B. The Sarvam-1 2B is small enough for a phone, while the Sarvam-105B wants a workstation. Here is each size with its Q4_K_M weight, the memory it needs, and the hardware that runs it.

Sizes: 4
Smallest: 2B
Largest: 105B
Runs from: 8GB

The Sarvam lineup

Smallest first Q4_K_M · min memory

"Needs" is the sourced minimum memory for Q4_K_M with a small context. Larger context needs more.

Which Sarvam fits your memory

8GB

Largest that fits: Sarvam-1 2B (2B), best case on Apple M1 (8GB).

Yes

16GB

Largest that fits: Sarvam-1 2B (2B), best case on Nvidia GeForce RTX 4080 (16GB).

Yes

24GB

Largest that fits: Sarvam-30B (30B), best case on Nvidia GeForce RTX 4090 (24GB). Comfortable up to Sarvam-M 24B (24B).

Tight

32GB

Largest that fits: Sarvam-30B (30B), best case on Nvidia GeForce RTX 5090 (32GB).

Yes

48GB

Largest that fits: Sarvam-30B (30B), best case on Apple M5 Pro (48GB).

Yes

64GB

Largest that fits: Sarvam-30B (30B), best case on Apple M4 Max (64GB).

Yes

128GB

Largest that fits: Sarvam-105B (105B), best case on Apple M5 Max (128GB).

Yes

256GB

Largest that fits: Sarvam-105B (105B), best case on Apple M3 Ultra (256GB).

Yes

Best case means the most capable device at that size (usually a discrete GPU). A Mac at the same size sits roughly one rung lower; see the per-size breakdown on each memory budget page.

FAQ

Which Sarvam size should I run locally?

Pick the largest size your memory allows. On 8GB (best case) up to Sarvam-1 2B; On 16GB (best case) up to Sarvam-1 2B; On 24GB (best case) up to Sarvam-30B; On 32GB (best case) up to Sarvam-30B; On 48GB (best case) up to Sarvam-30B; On 64GB (best case) up to Sarvam-30B; On 128GB (best case) up to Sarvam-105B; On 256GB (best case) up to Sarvam-105B. Smaller sizes run faster and leave headroom for context.

What is the smallest Sarvam model?

Sarvam-1 2B at 2B parameters, about 1.55 GB on disk at Q4_K_M and roughly 4 GB of memory to run. It is the one to use on phones and 8 GB machines.

What is the largest Sarvam model and what does it need?

Sarvam-105B at 105B (mixture of experts), about 64.2 GB at Q4_K_M and roughly 80 GB of memory. It fits a high-memory desktop GPU or Mac.

Understand the numbers

Short guides to the ideas behind Sarvam's memory and quant figures.

Sources

Memory figures are estimates at Q4_K_M. See methodology.