# Can I run Sarvam-M 24B on Nvidia GeForce RTX 5090 (32GB)?

Updated: 2026-06-15

**Yes, it runs.** Runs at Q4_K_M using ~16.3 GB of ~31 GB usable. You have room for Q8_0 for higher quality.

- Model: 24B, Q4_K_M 14.3 GB
- Device: 32 GB vram, ~31 GB usable for weights
- Needs ~16.3 GB at Q4_K_M; recommended quant: Q4_K_M
- Best tool on Windows: LM Studio

Estimate. Method: weights + KV cache + ~0.8GB overhead. Sources: https://huggingface.co/sarvamai/sarvam-m, https://huggingface.co/lmstudio-community/sarvam-m-GGUF, https://huggingface.co/sarvamai/sarvam-m-q8-gguf.

More: https://localmodel.run/can-i-run/sarvam-m-24b/nvidia-rtx-5090-32gb