Compatibility Check
Can I Run Gemma 3 27B on NVIDIA GeForce RTX 4060 Ti 16GB?
Sort of — NVIDIA GeForce RTX 4060 Ti 16GB can run Gemma 3 27B (Q8_0) only by spilling layers to RAM. Generation will be slow.
Estimated ~3 tokens/sec on the Q8_0 quantization.
Hybrid CPU+GPU
Best variant: Q8_0
CPU + GPU hybrid — not enough VRAM (16 GB < 30 GB min), but 64 GB RAM is sufficient. Expect significantly slower inference.
- GPU VRAM
- 16 GB
- Min VRAM (best fit)
- 30 GB
- Recommended VRAM
- 36 GB
- Estimated tok/s
- ~3
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Every Gemma 3 27B quantization on NVIDIA GeForce RTX 4060 Ti 16GB
Each row runs the compatibility engine against your VRAM, RAM, and the model's requirements.
| Quantization | File Size | Min VRAM | Rec VRAM | Context | Verdict | Estimated tok/s |
|---|---|---|---|---|---|---|
| Q4_K_M | 16 GB | 18 GB | 24 GB | 8K / 32K | Hybrid CPU+GPU | ~5 |
| Q8_0Best fit | 28.7 GB | 30 GB | 36 GB | 8K / 32K | Hybrid CPU+GPU | ~3 |
Upgrade options that fit Gemma 3 27B better
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