Can the NVIDIA RTX 4070 Super run MiniMax M3 428B-A23B?

RTX 4070 Super × MiniMax M3 428B-A23B8K context
NoDoes not fit in memory
Memory at Q4_K_M260.5 GB of 12 GB
Weights 258.9 GBKV cache 1 GBRuntime 0.6 GB
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

No. Even at Q4_K_M, MiniMax M3 428B-A23B needs about 260.5 GB, but the NVIDIA RTX 4070 Super has 12 GB usable. You could offload some layers to system RAM, but it will be very slow.

Run it in the cloud

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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 quality855.6 GBToo big—
Q8_0Near-lossless455.3 GBToo big—
Q6_KExcellent351.7 GBToo big—
Q5_K_MVery good305.3 GBToo big—
Q4_K_MGood, most popular260.5 GBToo big—
Q3_K_MNoticeably degraded210.3 GBToo big—
Q2_KHeavily degraded161.7 GBToo big—

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 MiniMax M3 428B-A23B 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 MiniMax M3 428B-A23B 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

Windows (PowerShell)

irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

Frequently asked questions

Can NVIDIA RTX 4070 Super run MiniMax M3 428B-A23B?

No. Even at Q4_K_M, MiniMax M3 428B-A23B needs about 260.5 GB, but the NVIDIA RTX 4070 Super has 12 GB usable. You could offload some layers to system RAM, but it will be very slow.

How much VRAM does MiniMax M3 428B-A23B need?

About 260.5 GB at Q4_K_M with 8,192 tokens of context, and about 855.6 GB at full FP16 precision.

How fast is MiniMax M3 428B-A23B on the NVIDIA RTX 4070 Super?

It does not fit in the NVIDIA RTX 4070 Super's memory, so most layers would run from system RAM and generation would be very slow.