DeepSeek Coder V2 Lite 16B on NVIDIA GeForce RTX 4070 Ti 12GB
NVIDIA GeForce RTX 4070 Ti 12GB runs DeepSeek Coder V2 Lite 16B excellently at 55 tok/s at Q4_K_M. This is a strong pairing.
Model Size
15.7B
Device VRAM
12 GB
Bandwidth
504 GB/s
Quantizations Tested
1
Performance by Quantization
Each row shows DeepSeek Coder V2 Lite 16B performance at a different quality level on NVIDIA GeForce RTX 4070 Ti 12GB.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q4_K_M | 55 tok/s | 140ms | ✓ Yes | Excellent | estimated |
Notes
Q4_K_M
Best coding model for 12GB. MoE efficiency + good quantization = excellent experience.
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.
View all DeepSeek Coder V2 Lite 16B hardware options →About NVIDIA GeForce RTX 4070 Ti 12GB
NVIDIA GeForce RTX 4070 Ti 12GB has 12 GB at 504 GB/s. Street price: $749.
See all models NVIDIA GeForce RTX 4070 Ti 12GB can run →Source: MoE model. Q4_K_M 9.1GB fits with headroom. 504 GB/s bandwidth ideal (2026-03-15)
Data last updated: 2026-03-01