text model · Mistral · Windows
Can I run Devstral 2 123B on Nvidia GeForce RTX 3060 (12GB)?
No. Devstral 2 123B needs ~73.3 GB even at Q4_K_M, but Nvidia GeForce RTX 3060 (12GB) only has ~11 GB usable.
Needs ~73.3 GB even at Q4_K_M, but only ~11 GB is usable.
That figure is at a 4k context and moves about ±15% as context length changes.
The gap is about 62.3 GB: Devstral 2 123B needs roughly 73.3 GB at Q4_K_M and Nvidia GeForce RTX 3060 (12GB) leaves only about 11 GB usable for a model. The lightest tracked hardware that runs Devstral 2 123B is the Apple M4 Max (128GB) at 128 GB. See Devstral 2 123B on Apple M4 Max (128GB).
Too big for Nvidia GeForce RTX 3060 (12GB)'s VRAM, but you could offload some layers to system RAM and still run it at roughly ~0.5 tok/s, far slower than a model that fits. How this is estimated.
- Q4_K_M needed
- ~73.3 GB
- Usable on device
- ~11 GB
- Device memory
- 12 GB
Which quant fits
- Parameters
- 123B
- Q4_K_M size
- 69.75 GB
- Q8_0 size
- 123.73 GB
- Context
- 256k
- Ollama tag
- devstral-2:123b
- Memory
- 12 GB vram
- Usable for weights
- ~11 GB
- Power draw
- ~170 W
- Best runtime
- Ollama (CUDA) / llama.cpp CUDA
What you can run instead
Run Devstral 2 123B on other hardware
FAQ
Can Nvidia GeForce RTX 3060 (12GB) run Devstral 2 123B?
No. Devstral 2 123B needs ~73.3 GB even at Q4_K_M, but Nvidia GeForce RTX 3060 (12GB) only has ~11 GB usable.
How much memory does Devstral 2 123B need?
Nvidia GeForce RTX 3060 (12GB) does not have enough memory. At Q4_K_M the weights are ~69.75 GB; with KV cache and runtime overhead, budget ~73.3 GB at a 4k context.
What is the best tool to run Devstral 2 123B on Windows?
LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.
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A live badge for your model card or README, updated as the data is. [](https://localmodel.run/can-i-run/devstral-2-123b/nvidia-rtx-3060-12gb) Sources
Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.