Compatibility Check
Can I Run DeepSeek Coder V2 Lite 16B on NVIDIA GeForce RTX 3070 Laptop?
Sort of — NVIDIA GeForce RTX 3070 Laptop can run DeepSeek Coder V2 Lite 16B (Q4_K_M) only by spilling layers to RAM. Generation will be slow.
Estimated ~11 tokens/sec on the Q4_K_M quantization.
Hybrid CPU+GPU
Best variant: Q4_K_M
CPU + GPU hybrid — not enough VRAM (8 GB < 11 GB min), but 64 GB RAM is sufficient. Expect significantly slower inference.
- GPU VRAM
- 8 GB
- Min VRAM (best fit)
- 11 GB
- Recommended VRAM
- 16 GB
- Estimated tok/s
- ~11
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Every DeepSeek Coder V2 Lite 16B quantization on NVIDIA GeForce RTX 3070 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_MBest fit | 9.5 GB | 11 GB | 16 GB | 8K / 128K | Hybrid CPU+GPU | ~11 |
Upgrade options that fit DeepSeek Coder V2 Lite 16B better
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