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Can the NVIDIA RTX 4070 Super run Qwen2.5 Coder 14B?

RTX 4070 Super × Qwen2.5 Coder 14B8K context
YesRuns fully on the GPU
Memory at Q4_K_M11.2 GB of 12 GB
Weights 9 GBKV cache 1.6 GBRuntime 0.6 GB
QuantQ4_K_MGood, most popular
Speed~34tokens per second
Max context11Ktokens that fit at Q4_K_M
  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 Qwen2.5 Coder 14B fully in VRAM at Q4_K_M (good, most popular), using about 11.2 GB of the 12 GB available, at roughly 34 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Qwen2.5 Coder 14B:

ollama run qwen2.5-coder:14b

Ollama's default download is Q4_K_M (about 11.2 GB here). That is also the best quant that fits.

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

Run it in the cloud

No NVIDIA RTX 4070 Super? Run Qwen2.5 Coder 14B 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 quality31.8 GBToo big—
Q8_0Near-lossless17.9 GBToo big—
Q6_KExcellent14.3 GBToo big—
Q5_K_MVery good12.7 GBToo big—
Q4_K_MGood, most popular11.2 GBFits~34 tok/s
Q3_K_MNoticeably degraded9.4 GBFits~42 tok/s
Q2_KHeavily degraded7.8 GBFits~54 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 Qwen2.5 Coder 14B 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 Qwen2.5 Coder 14B 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 -- qwen2.5-coder:14b

Windows (PowerShell)

$env:GPUFIT_MODEL="qwen2.5-coder:14b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Qwen2.5 Coder 14B comfortably

Models that run well on the NVIDIA RTX 4070 Super

Frequently asked questions

Can NVIDIA RTX 4070 Super run Qwen2.5 Coder 14B?

Yes. The NVIDIA RTX 4070 Super can run Qwen2.5 Coder 14B fully in VRAM at Q4_K_M (good, most popular), using about 11.2 GB of the 12 GB available, at roughly 34 tokens/second.

How much VRAM does Qwen2.5 Coder 14B need?

About 11.2 GB at Q4_K_M with 8,192 tokens of context, and about 31.8 GB at full FP16 precision.

How fast is Qwen2.5 Coder 14B on the NVIDIA RTX 4070 Super?

Roughly 34 tokens per second at Q4_K_M, estimated from the NVIDIA RTX 4070 Super's 504 GB/s memory bandwidth.