Can the NVIDIA RTX 3070 run Qwen2.5 14B?

RTX 3070 × Qwen2.5 14B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q2_K7.7 GB of 8 GB
Weights 5.5 GBKV cache 1.6 GBRuntime 0.6 GB
QuantQ2_KHeavily degraded
Memory7.7 GBof 8 GB usable
Speed~49tokens 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

Only just. Qwen2.5 14B fits on the NVIDIA RTX 3070 at Q2_K, which costs noticeable quality. Expect about 49 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 8 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 3070

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 8 GB the NVIDIA RTX 3070 can use.

QuantQualityMemoryFits?Speed
FP16Full quality31.6 GBToo big—
Q8_0Near-lossless17.8 GBToo big—
Q6_KExcellent14.3 GBToo big—
Q5_K_MVery good12.7 GBToo big—
Q4_K_MGood, most popular11.1 GBToo big—
Q3_K_MNoticeably degraded9.4 GBToo big—
Q2_KHeavily degraded7.7 GBFits~49 tok/s

Frequently asked questions

Can NVIDIA RTX 3070 run Qwen2.5 14B?

Only just. Qwen2.5 14B fits on the NVIDIA RTX 3070 at Q2_K, which costs noticeable quality. Expect about 49 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 3070?

Roughly 49 tokens per second at Q2_K, estimated from the NVIDIA RTX 3070's 448 GB/s memory bandwidth.