Can the NVIDIA RTX 4070 run Qwen3.6 27B?

RTX 4070 × Qwen3.6 27B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q2_K11.6 GB of 12 GB
Weights 10.4 GBKV cache 0.5 GBRuntime 0.6 GB
QuantQ2_KHeavily degraded
Speed~29tokens per second
Max context13Ktokens that fit at Q2_K
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Only just. Qwen3.6 27B fits on the NVIDIA RTX 4070 at Q2_K, which costs noticeable quality. Expect about 29 tokens/second. A card with more memory is a better experience.

Run it with Ollama

Ollama's default qwen3.6:27b download is Q4_K_M, which needs about 18 GB, more than the 12 GB available. Download the Q2_K GGUF instead (LM Studio lists quants per model), or try a smaller context length.

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

Run it in the cloud

Want full quality? Run Qwen3.6 27B on a bigger rented GPU.

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

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 12 GB the NVIDIA RTX 4070 can use.

QuantQualityMemoryFits?Speed
FP16Full quality56.7 GBToo big—
Q8_0Near-lossless30.7 GBToo big—
Q6_KExcellent23.9 GBToo big—
Q5_K_MVery good20.9 GBToo big—
Q4_K_MGood, most popular18 GBToo big—
Q3_K_MNoticeably degraded14.7 GBToo big—
Q2_KHeavily degraded11.6 GBFits~29 tok/s

Measured speed from real RTX 4070 owners

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

No one has measured Qwen3.6 27B on the NVIDIA RTX 4070 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4070? Add your real speed

One command times Qwen3.6 27B 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 -- qwen3.6:27b

Windows (PowerShell)

$env:GPUFIT_MODEL="qwen3.6:27b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

Frequently asked questions

Can NVIDIA RTX 4070 run Qwen3.6 27B?

Only just. Qwen3.6 27B fits on the NVIDIA RTX 4070 at Q2_K, which costs noticeable quality. Expect about 29 tokens/second. A card with more memory is a better experience.

How much VRAM does Qwen3.6 27B need?

About 18 GB at Q4_K_M with 8,192 tokens of context, and about 56.7 GB at full FP16 precision.

How fast is Qwen3.6 27B on the NVIDIA RTX 4070?

Roughly 29 tokens per second at Q2_K, estimated from the NVIDIA RTX 4070's 504 GB/s memory bandwidth.