Gemma 2 27B Instruct on NVIDIA GeForce RTX 4060 Ti 16GB

NVIDIA GeForce RTX 4060 Ti 16GB can run Gemma 2 27B Instruct at 12 tok/s at Q4_K_M, though performance is acceptable. Consider a higher-end GPU for better results.

Model Size

27.23B

Device VRAM

16 GB

Bandwidth

288 GB/s

Quantizations Tested

Performance by Quantization

Each row shows Gemma 2 27B Instruct performance at a different quality level on NVIDIA GeForce RTX 4060 Ti 16GB.

Quantization	Speed	TTFT	Fits in VRAM	Rating	Confidence
Q4_K_M	12 tok/s	700ms	✓ Yes	Acceptable	estimated

Notes

Q4_K_M

Tight fit at 15.5GB on 16GB. Works but slow due to bandwidth constraints.

About Gemma 2 27B Instruct

Gemma 2 27B Instruct (27.23B) is a chat, coding, reasoning, multi-purpose model. Google's 27B model with excellent knowledge distillation. Strong reasoning and coding capabilities at a size that fits on a single 24GB GPU at Q4. Limited to 8K context.

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