Compatibility Check
Can I Run Gemma 4 E4B on NVIDIA GeForce GTX 1650 Super?
Sort of — NVIDIA GeForce GTX 1650 Super can run Gemma 4 E4B (Q8_0) only by spilling layers to RAM. Generation will be slow.
Estimated ~8 tokens/sec on the Q8_0 quantization.
Hybrid CPU+GPU
Best variant: Q8_0
CPU + GPU hybrid — not enough VRAM (4 GB < 9.5 GB min), but 64 GB RAM is sufficient. Expect significantly slower inference.
- GPU VRAM
- 4 GB
- Min VRAM (best fit)
- 9.5 GB
- Recommended VRAM
- 12 GB
- Estimated tok/s
- ~8
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Every Gemma 4 E4B quantization on NVIDIA GeForce GTX 1650 Super
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 | 4.1 GB | 5 GB | 6 GB | 8K / 128K | Hybrid CPU+GPU | ~14 |
| Q8_0Best fit | 8.3 GB | 9.5 GB | 12 GB | 8K / 128K | Hybrid CPU+GPU | ~8 |
Upgrade options that fit Gemma 4 E4B better
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