Gemma 2 9B Instruct on NVIDIA GeForce RTX 4060 8GB
NVIDIA GeForce RTX 4060 8GB handles Gemma 2 9B Instruct well at 28 tok/s at Q4_K_M. A solid choice for this model.
Model Size
9.24B
Device VRAM
8 GB
Bandwidth
272 GB/s
Quantizations Tested
1
Performance by Quantization
Each row shows Gemma 2 9B Instruct performance at a different quality level on NVIDIA GeForce RTX 4060 8GB.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q4_K_M | 28 tok/s | 240ms | ✓ Yes | Good | estimated |
Notes
Q4_K_M
Q4_K_M 5.6GB fits with ~2.4GB headroom. 9.24B model, 8GB is tight.
About Gemma 2 9B Instruct
Gemma 2 9B Instruct (9.24B) is a chat, coding, reasoning, multi-purpose model. Google's 9B model with strong knowledge distillation. Competitive with Llama 3.1 8B on most benchmarks. Shorter max context (8K) is the main limitation vs Llama.
View all Gemma 2 9B Instruct hardware options →About NVIDIA GeForce RTX 4060 8GB
NVIDIA GeForce RTX 4060 8GB has 8 GB at 272 GB/s. Street price: $289.
See all models NVIDIA GeForce RTX 4060 8GB can run →Source: Performance estimates based on model size and device bandwidth (2026-03-15)
Data last updated: 2026-03-01