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Can the NVIDIA RTX 5090 run Mistral 7B v0.3?

RTX 5090 × Mistral 7B v0.38K context
YesRuns fully on the GPU
Memory at FP1616.2 GB of 32 GB
Weights 14.5 GBKV cache 1.1 GBRuntime 0.6 GB
QuantFP16Full quality
Memory16.2 GBof 32 GB usable
Speed~74tokens per second
  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 7B v0.3 fully in VRAM at FP16 (full quality), using about 16.2 GB of the 32 GB available, at roughly 74 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.

Run it in the cloud

No NVIDIA RTX 5090? Run Mistral 7B v0.3 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 quality16.2 GBFits~74 tok/s
Q8_0Near-lossless9.4 GBFits~140 tok/s
Q6_KExcellent7.6 GBFits~181 tok/s
Q5_K_MVery good6.8 GBFits~209 tok/s
Q4_K_MGood, most popular6.1 GBFits~245 tok/s
Q3_K_MNoticeably degraded5.2 GBFits~303 tok/s
Q2_KHeavily degraded4.4 GBFits~395 tok/s

GPUs that run Mistral 7B v0.3 comfortably

Models that run well on the NVIDIA RTX 5090

Frequently asked questions

Can NVIDIA RTX 5090 run Mistral 7B v0.3?

Yes. The NVIDIA RTX 5090 can run Mistral 7B v0.3 fully in VRAM at FP16 (full quality), using about 16.2 GB of the 32 GB available, at roughly 74 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 5090?

Roughly 74 tokens per second at FP16, estimated from the NVIDIA RTX 5090's 1792 GB/s memory bandwidth.