Rent a GPU

Can the NVIDIA RTX 4070 Ti run DeepSeek V4 Flash 284B-A13B?

RTX 4070 Ti × DeepSeek V4 Flash 284B-A13B8K context
NoDoes not fit in memory
Memory at Q4_K_M173 GB of 12 GB
Weights 172.2 GBKV cache 0.2 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, DeepSeek V4 Flash 284B-A13B needs about 173 GB, but the NVIDIA RTX 4070 Ti has 12 GB usable. You could offload some layers to system RAM, but it will be very slow.

Try other context lengths

Run it on a rented GPU

On a cloud GPU with enough memory, the same command you'd use locally works:

ollama run deepseek-v4-flash

At Q4_K_M it needs about 173 GB, so pick a GPU with at least 176 GB.

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

Run it in the cloud

Too big for the NVIDIA RTX 4070 Ti? Run DeepSeek V4 Flash 284B-A13B on a rented GPU instead.

Rent a cloud GPU by the hour. No upfront cost, stop any time. Not sure whether to rent or buy? Compare the cost.

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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 Ti can use.

QuantQualityMemoryFits?Speed
FP16Full quality568.8 GBToo big—
Q8_0Near-lossless302.6 GBToo big—
Q6_KExcellent233.7 GBToo big—
Q5_K_MVery good202.8 GBToo big—
Q4_K_MGood, most popular173 GBToo big—
Q3_K_MNoticeably degraded139.6 GBToo big—
Q2_KHeavily degraded107.3 GBToo big—

Measured speed from real RTX 4070 Ti owners

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

No one has measured DeepSeek V4 Flash 284B-A13B on the NVIDIA RTX 4070 Ti yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4070 Ti? Add your real speed

One command times DeepSeek V4 Flash 284B-A13B 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 -- deepseek-v4-flash

Windows (PowerShell)

$env:GPUFIT_MODEL="deepseek-v4-flash"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run DeepSeek V4 Flash 284B-A13B comfortably

Check Mac Studio M3 Ultra (256 GB) prices

Models that run well on the NVIDIA RTX 4070 Ti

Frequently asked questions

Can NVIDIA RTX 4070 Ti run DeepSeek V4 Flash 284B-A13B?

No. Even at Q4_K_M, DeepSeek V4 Flash 284B-A13B needs about 173 GB, but the NVIDIA RTX 4070 Ti has 12 GB usable. You could offload some layers to system RAM, but it will be very slow.

How much VRAM does DeepSeek V4 Flash 284B-A13B need?

About 173 GB at Q4_K_M with 8,192 tokens of context, and about 568.8 GB at full FP16 precision.

How fast is DeepSeek V4 Flash 284B-A13B on the NVIDIA RTX 4070 Ti?

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