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Can the NVIDIA RTX 4070 Super run Mistral 7B v0.3?

RTX 4070 Super × Mistral 7B v0.38K context
YesRuns fully on the GPU
Memory at Q8_09.4 GB of 12 GB
Weights 7.7 GBKV cache 1.1 GBRuntime 0.6 GB
QuantQ8_0Near-lossless
Speed~39tokens per second
Max context27Ktokens that fit at Q8_0
  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 4070 Super can run Mistral 7B v0.3 fully in VRAM at Q8_0 (near-lossless), using about 9.4 GB of the 12 GB available, at roughly 39 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 Q8_0, which is near-lossless: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX 4070 Super

Run it in the cloud

No NVIDIA RTX 4070 Super? 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 12 GB the NVIDIA RTX 4070 Super can use.

QuantQualityMemoryFits?Speed
FP16Full quality16.2 GBToo big—
Q8_0Near-lossless9.4 GBFits~39 tok/s
Q6_KExcellent7.6 GBFits~51 tok/s
Q5_K_MVery good6.8 GBFits~59 tok/s
Q4_K_MGood, most popular6.1 GBFits~69 tok/s
Q3_K_MNoticeably degraded5.2 GBFits~85 tok/s
Q2_KHeavily degraded4.4 GBFits~111 tok/s

Measured speed from real RTX 4070 Super owners

Tokens per second that people measured on their own NVIDIA RTX 4070 Super, next to our estimate.

No one has measured Mistral 7B v0.3 on the NVIDIA RTX 4070 Super yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4070 Super? 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 4070 Super

Frequently asked questions

Can NVIDIA RTX 4070 Super run Mistral 7B v0.3?

Yes. The NVIDIA RTX 4070 Super can run Mistral 7B v0.3 fully in VRAM at Q8_0 (near-lossless), using about 9.4 GB of the 12 GB available, at roughly 39 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 4070 Super?

Roughly 39 tokens per second at Q8_0, estimated from the NVIDIA RTX 4070 Super's 504 GB/s memory bandwidth.