Can the NVIDIA RTX 3080 10GB run Qwen2.5 14B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Only just. Qwen2.5 14B fits on the NVIDIA RTX 3080 10GB at Q3_K_M, which costs noticeable quality. Expect about 63 tokens/second. A card with more memory is a better experience.
Run it with Ollama
Ollama's default qwen2.5:14b download is Q4_K_M, which needs about 11.1 GB, more than the 10 GB available. Download the Q3_K_M GGUF instead (LM Studio lists quants per model), or try a smaller context length.
New to this? Step-by-step setup for the RTX 3080 10GB
Run it in the cloud
Want full quality? Run Qwen2.5 14B 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 10 GB the NVIDIA RTX 3080 10GB can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 31.6 GB | Too big | — | |
| Q8_0 | Near-lossless | 17.8 GB | Too big | — | |
| Q6_K | Excellent | 14.3 GB | Too big | — | |
| Q5_K_M | Very good | 12.7 GB | Too big | — | |
| Q4_K_M | Good, most popular | 11.1 GB | Too big | — | |
| Q3_K_M | Noticeably degraded | 9.4 GB | Fits | ~63 tok/s | |
| Q2_K | Heavily degraded | 7.7 GB | Fits | ~83 tok/s |
GPUs that run Qwen2.5 14B comfortably
Models that run well on the NVIDIA RTX 3080 10GB
Frequently asked questions
Can NVIDIA RTX 3080 10GB run Qwen2.5 14B?
Only just. Qwen2.5 14B fits on the NVIDIA RTX 3080 10GB at Q3_K_M, which costs noticeable quality. Expect about 63 tokens/second. A card with more memory is a better experience.
How much VRAM does Qwen2.5 14B need?
About 11.1 GB at Q4_K_M with 8,192 tokens of context, and about 31.6 GB at full FP16 precision.
How fast is Qwen2.5 14B on the NVIDIA RTX 3080 10GB?
Roughly 63 tokens per second at Q3_K_M, estimated from the NVIDIA RTX 3080 10GB's 760 GB/s memory bandwidth.