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Can the NVIDIA RTX 3090 Ti run Mistral 7B v0.3?

RTX 3090 Ti × Mistral 7B v0.38K context
YesRuns fully on the GPU
Memory at FP1616.2 GB of 24 GB
Weights 14.5 GBKV cache 1.1 GBRuntime 0.6 GB
QuantFP16Full quality
Speed~42tokens per second
Max context32Kthe model's full window
  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 3090 Ti can run Mistral 7B v0.3 fully in VRAM at FP16 (full quality), using about 16.2 GB of the 24 GB available, at roughly 42 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Mistral 7B v0.3:

ollama run mistral:7b

Ollama's default download is Q4_K_M (about 6.1 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 3090 Ti

Run it in the cloud

No NVIDIA RTX 3090 Ti? Run Mistral 7B v0.3 in the cloud.

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

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Memory needed by quantization

At 8,192 tokens of context. The black line marks the 24 GB the NVIDIA RTX 3090 Ti can use.

QuantQualityMemoryFits?Speed
FP16Full quality16.2 GBFits~42 tok/s
Q8_0Near-lossless9.4 GBFits~79 tok/s
Q6_KExcellent7.6 GBFits~102 tok/s
Q5_K_MVery good6.8 GBFits~117 tok/s
Q4_K_MGood, most popular6.1 GBFits~138 tok/s
Q3_K_MNoticeably degraded5.2 GBFits~171 tok/s
Q2_KHeavily degraded4.4 GBFits~222 tok/s

Measured speed from real RTX 3090 Ti owners

Tokens per second that people measured on their own NVIDIA RTX 3090 Ti, next to our estimate.

No one has measured Mistral 7B v0.3 on the NVIDIA RTX 3090 Ti yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 3090 Ti? Add your real speed

One command times Mistral 7B v0.3 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:7b

Windows (PowerShell)

$env:GPUFIT_MODEL="mistral:7b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Mistral 7B v0.3 comfortably

Models that run well on the NVIDIA RTX 3090 Ti

Frequently asked questions

Can NVIDIA RTX 3090 Ti run Mistral 7B v0.3?

Yes. The NVIDIA RTX 3090 Ti can run Mistral 7B v0.3 fully in VRAM at FP16 (full quality), using about 16.2 GB of the 24 GB available, at roughly 42 tokens/second.

How much VRAM does Mistral 7B v0.3 need?

About 6.1 GB at Q4_K_M with 8,192 tokens of context, and about 16.2 GB at full FP16 precision.

How fast is Mistral 7B v0.3 on the NVIDIA RTX 3090 Ti?

Roughly 42 tokens per second at FP16, estimated from the NVIDIA RTX 3090 Ti's 1008 GB/s memory bandwidth.