# Can I run Sarvam-105B on Apple M4 Pro (24GB)?

> **No, not enough memory.** Needs ~67.5 GB even at Q4_K_M, but only ~16 GB is usable.

Last validated: 2026-06-15.

## Memory math
- Sarvam-105B: 105B (MoE, 10.3B active); Q4_K_M weighs 64.2 GB on disk.
- At Q4_K_M with a 4k context it needs ~67.5 GB (weights + KV cache + ~0.8 GB runtime overhead, ±15% with context length).
- Apple M4 Pro (24GB): 24 GB unified, ~16 GB usable for model weights.
- Headroom: ~-51.5 GB.

## How to run
Recommended quant: n/a. Best tool on macOS: LM Studio.

## Run Sarvam-105B on other devices
- [Apple M4 Max (128GB)](https://localmodel.run/can-i-run/sarvam-105b/apple-m4-max-128gb)
- [Apple M5 Max (128GB)](https://localmodel.run/can-i-run/sarvam-105b/apple-m5-max-128gb)
- [Apple M3 Ultra (256GB)](https://localmodel.run/can-i-run/sarvam-105b/apple-m3-ultra-256gb)

## Other models that run on Apple M4 Pro (24GB)
- [gpt-oss 20B (21B)](https://localmodel.run/can-i-run/gpt-oss-20b/apple-m4-pro-24gb)
- [DeepSeek-V2-Lite (16B)](https://localmodel.run/can-i-run/deepseek-v2-lite/apple-m4-pro-24gb)
- [Phi-4 14B (14B)](https://localmodel.run/can-i-run/phi-4-14b/apple-m4-pro-24gb)
- [Qwen2.5 14B (14B)](https://localmodel.run/can-i-run/qwen2.5-14b/apple-m4-pro-24gb)
- [Qwen3 14B (14B)](https://localmodel.run/can-i-run/qwen3-14b/apple-m4-pro-24gb)
- [DeepSeek-R1-Distill-Qwen 14B (14B)](https://localmodel.run/can-i-run/deepseek-r1-distill-qwen-14b/apple-m4-pro-24gb)

Estimate, not a guarantee. Sources: https://huggingface.co/sarvamai/sarvam-105b, https://huggingface.co/sarvamai/sarvam-105b-gguf, https://www.sarvam.ai/blogs/sarvam-30b-105b.
More: https://localmodel.run/can-i-run/sarvam-105b/apple-m4-pro-24gb