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Can the NVIDIA RTX 3090 run Qwen3 0.6B?

RTX 3090 × Qwen3 0.6B8K context
YesRuns fully on the GPU
Memory at FP163 GB of 24 GB
Weights 1.5 GBKV cache 0.9 GBRuntime 0.6 GB
QuantFP16Full quality
Speed~374tokens per second
Max context32Kthe model's full window
  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 3090 can run Qwen3 0.6B fully in VRAM at FP16 (full quality), using about 3 GB of the 24 GB available, at roughly 374 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Qwen3 0.6B:

ollama run qwen3:0.6b

Ollama's default download is Q4_K_M (about 2 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX 3090

Run it in the cloud

No NVIDIA RTX 3090? Run Qwen3 0.6B 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 24 GB the NVIDIA RTX 3090 can use.

QuantQualityMemoryFits?Speed
FP16Full quality3 GBFits~374 tok/s
Q8_0Near-lossless2.3 GBFits~705 tok/s
Q6_KExcellent2.2 GBFits~913 tok/s
Q5_K_MVery good2.1 GBFits~1053 tok/s
Q4_K_MGood, most popular2 GBFits~1235 tok/s
Q3_K_MNoticeably degraded1.9 GBFits~1532 tok/s
Q2_KHeavily degraded1.8 GBFits~1997 tok/s

Measured speed from real RTX 3090 owners

Tokens per second that people measured on their own NVIDIA RTX 3090, next to our estimate.

No one has measured Qwen3 0.6B on the NVIDIA RTX 3090 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 3090? Add your real speed

One command times Qwen3 0.6B 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 -- qwen3:0.6b

Windows (PowerShell)

$env:GPUFIT_MODEL="qwen3:0.6b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Qwen3 0.6B comfortably

Models that run well on the NVIDIA RTX 3090

Frequently asked questions

Can NVIDIA RTX 3090 run Qwen3 0.6B?

Yes. The NVIDIA RTX 3090 can run Qwen3 0.6B fully in VRAM at FP16 (full quality), using about 3 GB of the 24 GB available, at roughly 374 tokens/second.

How much VRAM does Qwen3 0.6B need?

About 2 GB at Q4_K_M with 8,192 tokens of context, and about 3 GB at full FP16 precision.

How fast is Qwen3 0.6B on the NVIDIA RTX 3090?

Roughly 374 tokens per second at FP16, estimated from the NVIDIA RTX 3090's 936 GB/s memory bandwidth.