Q44GB VRAM minimum

deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct Q4 VRAM Requirements

This page answers deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct q4 quantization queries with explicit calculations from our model requirement dataset and compatibility speed table.

Requirement Snapshot

Current quantization-specific requirement breakdown

Selected quantizationQ4

Minimum VRAM4GB

Q4 baseline4GB

Q8 baseline7GB

FP16 baseline15GB

Methodology

No hand-wavy numbers

Exact Q4 requirement from model requirement data.

Throughput data below uses available compatibility measurements/estimates and is sorted by tokens per second for this model.

Need general guidance? Review full methodology.

Best GPUs for deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct (Q4)

GPU	VRAM	Quantization	Speed	Compatibility
NVIDIA H200 SXM 141GB	141GB	Q4	702 tok/s	View full compatibility
AMD Instinct MI300X	192GB	Q4	694 tok/s	View full compatibility
NVIDIA H100 SXM5 80GB	80GB	Q4	504 tok/s	View full compatibility
AMD Instinct MI250X	128GB	Q4	494 tok/s	View full compatibility
NVIDIA A100 80GB SXM4	80GB	Q4	307 tok/s	View full compatibility
NVIDIA H100 PCIe 80GB	80GB	Q4	303 tok/s	View full compatibility
RTX 5090	32GB	Q4	294 tok/s	View full compatibility
AMD Instinct MI210	64GB	Q4	225 tok/s	View full compatibility
NVIDIA A100 40GB PCIe	40GB	Q4	216 tok/s	View full compatibility
NVIDIA RTX 6000 Ada	48GB	Q4	175 tok/s	View full compatibility
NVIDIA L40	48GB	Q4	168 tok/s	View full compatibility
RTX 3090	24GB	Q4	168 tok/s	View full compatibility

Back to deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct model page Full hardware requirements