Can the NVIDIA RTX 4070 Ti Super run Qwen3 8B?

RTX 4070 Ti Super × Qwen3 8B8K context
YesRuns fully on the GPU
Memory at Q8_010.5 GB of 16 GB
Weights 8.7 GBKV cache 1.2 GBRuntime 0.6 GB
QuantQ8_0Near-lossless
Memory10.5 GBof 16 GB usable
Speed~46tokens per second
  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 Ti Super can run Qwen3 8B fully in VRAM at Q8_0 (near-lossless), using about 10.5 GB of the 16 GB available, at roughly 46 tokens/second.

Run it with Ollama

With Ollama installed, one command downloads and starts Qwen3 8B:

ollama run qwen3:8b

Ollama's default download is Q4_K_M (about 6.8 GB here). You have room for Q8_0, which is near-lossless: pick that GGUF in LM Studio or from Hugging Face.

Run it in the cloud

No NVIDIA RTX 4070 Ti Super? Run Qwen3 8B in the cloud.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 16 GB the NVIDIA RTX 4070 Ti Super can use.

QuantQualityMemoryFits?Speed
FP16Full quality18.2 GBToo big—
Q8_0Near-lossless10.5 GBFits~46 tok/s
Q6_KExcellent8.5 GBFits~60 tok/s
Q5_K_MVery good7.6 GBFits~69 tok/s
Q4_K_MGood, most popular6.8 GBFits~81 tok/s
Q3_K_MNoticeably degraded5.8 GBFits~101 tok/s
Q2_KHeavily degraded4.9 GBFits~131 tok/s

Frequently asked questions

Can NVIDIA RTX 4070 Ti Super run Qwen3 8B?

Yes. The NVIDIA RTX 4070 Ti Super can run Qwen3 8B fully in VRAM at Q8_0 (near-lossless), using about 10.5 GB of the 16 GB available, at roughly 46 tokens/second.

How much VRAM does Qwen3 8B need?

About 6.8 GB at Q4_K_M with 8,192 tokens of context, and about 18.2 GB at full FP16 precision.

How fast is Qwen3 8B on the NVIDIA RTX 4070 Ti Super?

Roughly 46 tokens per second at Q8_0, estimated from the NVIDIA RTX 4070 Ti Super's 672 GB/s memory bandwidth.