Compatibility Check
Can I Run Qwen 2.5 Coder 32B on NVIDIA GeForce RTX 4090 Laptop?
Sort of — NVIDIA GeForce RTX 4090 Laptop can run Qwen 2.5 Coder 32B (Q8_0) only by spilling layers to RAM. Generation will be slow.
Estimated ~5 tokens/sec on the Q8_0 quantization.
Hybrid CPU+GPU
Best variant: Q8_0
CPU + GPU hybrid — not enough VRAM (16 GB < 36 GB min), but 64 GB RAM is sufficient. Expect significantly slower inference.
- GPU VRAM
- 16 GB
- Min VRAM (best fit)
- 36 GB
- Recommended VRAM
- 40 GB
- Estimated tok/s
- ~5
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Every Qwen 2.5 Coder 32B quantization on NVIDIA GeForce RTX 4090 Laptop
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 | 19 GB | 21 GB | 24 GB | 8K / 128K | Hybrid CPU+GPU | ~8 |
| Q8_0Best fit | 34 GB | 36 GB | 40 GB | 8K / 128K | Hybrid CPU+GPU | ~5 |
Upgrade options that fit Qwen 2.5 Coder 32B better
Rent GPU instead of buying one
If local fit is weak, cloud GPU gets you running today without hardware upgrade.