Can the NVIDIA RTX 5060 Ti 16GB run Gemma 2 27B?

RTX 5060 Ti 16GB × Gemma 2 27B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q2_K13.9 GB of 16 GB
Weights 10.2 GBKV cache 3.1 GBRuntime 0.6 GB
QuantQ2_KHeavily degraded
Memory13.9 GBof 16 GB usable
Speed~26tokens 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. Gemma 2 27B fits on the NVIDIA RTX 5060 Ti 16GB at Q2_K, which costs noticeable quality. Expect about 26 tokens/second. A card with more memory is a better experience.

Run it with Ollama

Ollama's default gemma2:27b download is Q4_K_M, which needs about 20.2 GB, more than the 16 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 5060 Ti 16GB

Run it in the cloud

Want full quality? Run Gemma 2 27B 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 16 GB the NVIDIA RTX 5060 Ti 16GB can use.

QuantQualityMemoryFits?Speed
FP16Full quality58.1 GBToo big—
Q8_0Near-lossless32.6 GBToo big—
Q6_KExcellent26 GBToo big—
Q5_K_MVery good23 GBToo big—
Q4_K_MGood, most popular20.2 GBToo big—
Q3_K_MNoticeably degraded17 GBToo big—
Q2_KHeavily degraded13.9 GBFits~26 tok/s

Frequently asked questions

Can NVIDIA RTX 5060 Ti 16GB run Gemma 2 27B?

Only just. Gemma 2 27B fits on the NVIDIA RTX 5060 Ti 16GB at Q2_K, which costs noticeable quality. Expect about 26 tokens/second. A card with more memory is a better experience.

How much VRAM does Gemma 2 27B need?

About 20.2 GB at Q4_K_M with 8,192 tokens of context, and about 58.1 GB at full FP16 precision.

How fast is Gemma 2 27B on the NVIDIA RTX 5060 Ti 16GB?

Roughly 26 tokens per second at Q2_K, estimated from the NVIDIA RTX 5060 Ti 16GB's 448 GB/s memory bandwidth.