DeepSeek Coder V2 Lite 16B on NVIDIA GeForce RTX 3080 10GB
NVIDIA GeForce RTX 3080 10GB 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
10 GB
Bandwidth
760 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 3080 10GB.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q4_K_M | 55 tok/s | 100ms | ✓ Yes | Excellent | estimated |
Notes
Q4_K_M
MoE — only 2.4B active per token. Q4 9.1GB fits well. Excellent coding speed.
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 3080 10GB
NVIDIA GeForce RTX 3080 10GB has 10 GB at 760 GB/s. Street price: $399.
See all models NVIDIA GeForce RTX 3080 10GB can run →Source: Performance estimates based on model size and device bandwidth (2026-03-15)
Data last updated: 2026-03-01