# Can I run Command R 35B on Nvidia GeForce RTX 4090 (24GB)?

> **Yes, but tight.** Fits at Q4_K_M (~22.3 GB of ~23 GB usable) but with little headroom, close other apps.

Last validated: 2026-06-15.

## Memory math
- Command R 35B: 35B; Q4_K_M weighs 20.05 GB on disk.
- At Q4_K_M with a 4k context it needs ~22.3 GB (weights + KV cache + ~0.8 GB runtime overhead, ±15% with context length).
- Nvidia GeForce RTX 4090 (24GB): 24 GB vram, ~23 GB usable for model weights.
- Headroom: ~0.7 GB.

## How to run
Recommended quant: Q4_K_M. Best tool on Windows: LM Studio.

```sh
ollama run command-r:35b
```

## Run Command R 35B on other devices
- [Nvidia GeForce RTX 3090 (24GB)](https://localmodel.run/can-i-run/command-r-35b/nvidia-rtx-3090-24gb)
- [AMD Radeon RX 7900 XTX (24GB)](https://localmodel.run/can-i-run/command-r-35b/amd-rx-7900-xtx-24gb)
- [Nvidia GeForce RTX 5090 (32GB)](https://localmodel.run/can-i-run/command-r-35b/nvidia-rtx-5090-32gb)
- [32GB RAM Laptop (CPU/iGPU only)](https://localmodel.run/can-i-run/command-r-35b/laptop-32gb)
- [Apple M4 Pro (48GB)](https://localmodel.run/can-i-run/command-r-35b/apple-m4-pro-48gb)
- [Apple M5 Pro (48GB)](https://localmodel.run/can-i-run/command-r-35b/apple-m5-pro-48gb)

## Other models that run on Nvidia GeForce RTX 4090 (24GB)
- [Yi 1.5 34B (34B)](https://localmodel.run/can-i-run/yi-1.5-34b/nvidia-rtx-4090-24gb)
- [Qwen2.5 32B (32B)](https://localmodel.run/can-i-run/qwen2.5-32b/nvidia-rtx-4090-24gb)
- [Qwen3 32B (32B)](https://localmodel.run/can-i-run/qwen3-32b/nvidia-rtx-4090-24gb)
- [DeepSeek-R1-Distill-Qwen 32B (32B)](https://localmodel.run/can-i-run/deepseek-r1-distill-qwen-32b/nvidia-rtx-4090-24gb)
- [Qwen2.5 Coder 32B (32B)](https://localmodel.run/can-i-run/qwen2.5-coder-32b/nvidia-rtx-4090-24gb)
- [Granite 4.0 H Small (32B)](https://localmodel.run/can-i-run/granite-4.0-h-small/nvidia-rtx-4090-24gb)

Estimate, not a guarantee. Sources: https://ollama.com/library/command-r, https://ollama.com/library/command-r/tags, https://huggingface.co/bartowski/c4ai-command-r-v01-GGUF, https://huggingface.co/CohereForAI/c4ai-command-r-v01.
More: https://localmodel.run/can-i-run/command-r-35b/nvidia-rtx-4090-24gb