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Can the NVIDIA RTX 5090 run Mistral Nemo 12B?

RTX 5090 × Mistral Nemo 12B8K context
YesRuns fully on the GPU
Memory at FP1626.3 GB of 32 GB
Weights 24.4 GBKV cache 1.3 GBRuntime 0.6 GB
QuantFP16Full quality
Speed~44tokens per second
Max context41Ktokens that fit at FP16
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The NVIDIA RTX 5090 can run Mistral Nemo 12B fully in VRAM at FP16 (full quality), using about 26.3 GB of the 32 GB available, at roughly 44 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Mistral Nemo 12B:

ollama run mistral-nemo:12b

Ollama's default download is Q4_K_M (about 9.3 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX 5090

Run it in the cloud

No NVIDIA RTX 5090? Run Mistral Nemo 12B in the cloud.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

Rent a GPU on RunPodRent a GPU on Vast.ai

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 32 GB the NVIDIA RTX 5090 can use.

QuantQualityMemoryFits?Speed
FP16Full quality26.3 GBFits~44 tok/s
Q8_0Near-lossless14.9 GBFits~83 tok/s
Q6_KExcellent11.9 GBFits~107 tok/s
Q5_K_MVery good10.6 GBFits~124 tok/s
Q4_K_MGood, most popular9.3 GBFits~145 tok/s
Q3_K_MNoticeably degraded7.9 GBFits~180 tok/s
Q2_KHeavily degraded6.5 GBFits~235 tok/s

Measured speed from real RTX 5090 owners

Tokens per second that people measured on their own NVIDIA RTX 5090, next to our estimate.

No one has measured Mistral Nemo 12B on the NVIDIA RTX 5090 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 5090? Add your real speed

One command times Mistral Nemo 12B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh -s -- mistral-nemo:12b

Windows (PowerShell)

$env:GPUFIT_MODEL="mistral-nemo:12b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Mistral Nemo 12B comfortably

Models that run well on the NVIDIA RTX 5090

Frequently asked questions

Can NVIDIA RTX 5090 run Mistral Nemo 12B?

Yes. The NVIDIA RTX 5090 can run Mistral Nemo 12B fully in VRAM at FP16 (full quality), using about 26.3 GB of the 32 GB available, at roughly 44 tokens/second.

How much VRAM does Mistral Nemo 12B need?

About 9.3 GB at Q4_K_M with 8,192 tokens of context, and about 26.3 GB at full FP16 precision.

How fast is Mistral Nemo 12B on the NVIDIA RTX 5090?

Roughly 44 tokens per second at FP16, estimated from the NVIDIA RTX 5090's 1792 GB/s memory bandwidth.