DeepSeek Coder V2 Lite 16B on NVIDIA GeForce RTX 4060 Ti 16GB

NVIDIA GeForce RTX 4060 Ti 16GB runs DeepSeek Coder V2 Lite 16B excellently at 50 tok/s at Q5_K_M. This is a strong pairing.

Model Size

15.7B

Device VRAM

16 GB

Bandwidth

288 GB/s

Quantizations Tested

Performance by Quantization

Each row shows DeepSeek Coder V2 Lite 16B performance at a different quality level on NVIDIA GeForce RTX 4060 Ti 16GB.

Quantization	Speed	TTFT	Fits in VRAM	Rating	Confidence
Q5_K_M	50 tok/s	150ms	✓ Yes	Excellent	estimated

Notes

Q5_K_M

Excellent fit — Q5 quality at 10.9GB on 16GB. Fast inference thanks to MoE sparsity.

About DeepSeek Coder V2 Lite 16B

DeepSeek Coder V2 Lite 16B (15.7B) is a coding, ai coding, ai building model. MoE architecture — 15.7B total, ~2.4B active per token. Excellent code generation and completion. Extremely fast inference despite total param count. One of the best coding models for its effective size.

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