Can the NVIDIA RTX 4070 Ti Super run Gemma 2 27B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Only just. Gemma 2 27B fits on the NVIDIA RTX 4070 Ti Super at Q2_K, which costs noticeable quality. Expect about 40 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.
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.
Memory needed by quantization
At 8,192 tokens of context. The black line marks the 16 GB the NVIDIA RTX 4070 Ti Super can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 58.1 GB | Too big | — | |
| Q8_0 | Near-lossless | 32.6 GB | Too big | — | |
| Q6_K | Excellent | 26 GB | Too big | — | |
| Q5_K_M | Very good | 23 GB | Too big | — | |
| Q4_K_M | Good, most popular | 20.2 GB | Too big | — | |
| Q3_K_M | Noticeably degraded | 17 GB | Too big | — | |
| Q2_K | Heavily degraded | 13.9 GB | Fits | ~40 tok/s |
GPUs that run Gemma 2 27B comfortably
Models that run well on the NVIDIA RTX 4070 Ti Super
Frequently asked questions
Can NVIDIA RTX 4070 Ti Super run Gemma 2 27B?
Only just. Gemma 2 27B fits on the NVIDIA RTX 4070 Ti Super at Q2_K, which costs noticeable quality. Expect about 40 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 4070 Ti Super?
Roughly 40 tokens per second at Q2_K, estimated from the NVIDIA RTX 4070 Ti Super's 672 GB/s memory bandwidth.