Can the NVIDIA RTX 4070 Ti run Qwen3 0.6B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Yes. The NVIDIA RTX 4070 Ti can run Qwen3 0.6B fully in VRAM at FP16 (full quality), using about 3 GB of the 12 GB available, at roughly 202 tokens/second.
Run it with Ollama
With Ollama installed, one command downloads and starts Qwen3 0.6B:
ollama run qwen3:0.6bOllama'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 4070 Ti
Run it in the cloud
No NVIDIA RTX 4070 Ti? Run Qwen3 0.6B 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 12 GB the NVIDIA RTX 4070 Ti can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 3 GB | Fits | ~202 tok/s | |
| Q8_0 | Near-lossless | 2.3 GB | Fits | ~379 tok/s | |
| Q6_K | Excellent | 2.2 GB | Fits | ~492 tok/s | |
| Q5_K_M | Very good | 2.1 GB | Fits | ~567 tok/s | |
| Q4_K_M | Good, most popular | 2 GB | Fits | ~665 tok/s | |
| Q3_K_M | Noticeably degraded | 1.9 GB | Fits | ~825 tok/s | |
| Q2_K | Heavily degraded | 1.8 GB | Fits | ~1075 tok/s |
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 Qwen3 0.6B 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 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 -- qwen3:0.6bWindows (PowerShell)
$env:GPUFIT_MODEL="qwen3:0.6b"; irm https://gpufit.dev/bench.ps1 | iexGPUs that run Qwen3 0.6B comfortably
Frequently asked questions
Can NVIDIA RTX 4070 Ti run Qwen3 0.6B?
Yes. The NVIDIA RTX 4070 Ti can run Qwen3 0.6B fully in VRAM at FP16 (full quality), using about 3 GB of the 12 GB available, at roughly 202 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 4070 Ti?
Roughly 202 tokens per second at FP16, estimated from the NVIDIA RTX 4070 Ti's 504 GB/s memory bandwidth.