Skip to content
localmodel.run

text model · mistral · Windows

Can I run Mistral Nemo 12B on Nvidia GeForce RTX 4080 (16GB)?

Compatibility verdict VRAM threshold engine
Yes, it runsGPU accelerated

Yes. Mistral Nemo 12B runs on Nvidia GeForce RTX 4080 (16GB) at Q4_K_M (~8.6 GB of ~15 GB usable).

Needs ~8.6 GB Device usable ~15 GB

Runs at Q4_K_M using ~8.6 GB of ~15 GB usable. You have room for Q8_0 for higher quality.

Q4_K_M needed
~8.6 GB
Usable on device
~15 GB
Device memory
16 GB
Best quant
Q4_K_M

Run it

Install commands Windows

Pick your tool. All three load the same Q4_K_M weights.

Ollama
$ ollama run mistral-nemo:12b
llama.cpp
$ llama-cli -hf bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M
LM Studio
$ lms get bartowski/Mistral-Nemo-Instruct-2407-GGUF

AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.

Model mistral
Parameters
12.2B
Q4_K_M size
6.96 GB
Q8_0 size
12.13 GB
Context
128k
Ollama tag
mistral-nemo:12b
Full Mistral Nemo 12B requirements →
Device Windows
Memory
16 GB vram
Usable for weights
~15 GB
Best runtime
vLLM (Linux) / Ollama (CUDA)
Best models for Nvidia GeForce RTX 4080 (16GB) →

You could also run

Run Mistral Nemo 12B on other hardware

Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)Apple M2 (16GB)Apple M4 (16GB)Nvidia GeForce RTX 4060 Ti (16GB)16GB RAM Laptop (CPU/iGPU only)

FAQ

Can Nvidia GeForce RTX 4080 (16GB) run Mistral Nemo 12B?

Yes. Mistral Nemo 12B runs on Nvidia GeForce RTX 4080 (16GB) at Q4_K_M (~8.6 GB of ~15 GB usable).

How much memory does Mistral Nemo 12B need?

Nvidia GeForce RTX 4080 (16GB) has room to spare. At Q4_K_M the weights are ~6.96 GB; with KV cache and runtime overhead, budget ~8.6 GB at a 4k context.

What is the best tool to run Mistral Nemo 12B 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.

Sources

Memory figures are estimates. See methodology.