Q436GB VRAM minimum

Deepseek AI Deepseek Coder V2 Instruct 0724 Q4 VRAM Requirements

This page answers Deepseek AI Deepseek Coder V2 Instruct 0724 q4 quantization queries with explicit calculations from our model requirement dataset and compatibility speed table.

Short answer

Direct requirement summary for Deepseek AI Deepseek Coder V2 Instruct 0724 Q4

Short answer: Deepseek AI Deepseek Coder V2 Instruct 0724 typically needs around 36GB VRAM at Q4, and 44GB is safer for smoother usage.

Minimum VRAM

36GB

Recommended VRAM

44GB

Target quantization

Requirement Snapshot

Current quantization-specific requirement breakdown

Selected quantizationQ4

Minimum VRAM36GB

Q4 baseline36GB

Q8 baseline72GB

FP16 baseline144GB

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.

Next steps for this requirement

AMD Instinct MI300X

Check full compatibility details and speed context for this model.

Can AMD Instinct MI300X run Deepseek AI Deepseek Coder V2 Instruct 0724? →Buy options for AMD Instinct MI300X →

NVIDIA H200 SXM 141GB

Check full compatibility details and speed context for this model.

Can NVIDIA H200 SXM 141GB run Deepseek AI Deepseek Coder V2 Instruct 0724? →Buy options for NVIDIA H200 SXM 141GB →

NVIDIA H100 SXM5 80GB

Check full compatibility details and speed context for this model.

Can NVIDIA H100 SXM5 80GB run Deepseek AI Deepseek Coder V2 Instruct 0724? →Buy options for NVIDIA H100 SXM5 80GB →

Need GPU recommendations?

Compare curated best GPU guides by budget and workload.

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Need a complete build?

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Compare prebuilt systems →

Compare other quantization tiers for Deepseek AI Deepseek Coder V2 Instruct 0724

Q4_K_M requirements Q5_K_M requirements Q8 requirements FP16 requirements

Best GPUs for Deepseek AI Deepseek Coder V2 Instruct 0724 (Q4)

GPU	VRAM	Quantization	Speed	Compatibility	Buy
AMD Instinct MI300X	192GB	Q4	191 tok/s	View full compatibility	Buy options
NVIDIA H200 SXM 141GB	141GB	Q4	172 tok/s	View full compatibility	Buy options
NVIDIA H100 SXM5 80GB	80GB	Q4	124 tok/s	View full compatibility	Buy options
AMD Instinct MI250X	128GB	Q4	119 tok/s	View full compatibility	Buy options
NVIDIA H100 PCIe 80GB	80GB	Q4	79 tok/s	View full compatibility	Buy options
RTX 5090	32GB	Q4	75 tok/s	View full compatibility	Buy options
NVIDIA A100 80GB SXM4	80GB	Q4	73 tok/s	View full compatibility	Buy options
AMD Instinct MI210	64GB	Q4	59 tok/s	View full compatibility	Buy options
NVIDIA A100 40GB PCIe	40GB	Q4	57 tok/s	View full compatibility	Buy options
RTX 4090	24GB	Q4	45 tok/s	View full compatibility	Buy options
NVIDIA RTX 6000 Ada	48GB	Q4	45 tok/s	View full compatibility	Buy options
NVIDIA L40	48GB	Q4	41 tok/s	View full compatibility	Buy options

Back to Deepseek AI Deepseek Coder V2 Instruct 0724 model page Full hardware requirements Best GPU guides Prebuilt systems Local AI build guides

VRAM requirements FAQ

How much VRAM does Deepseek AI Deepseek Coder V2 Instruct 0724 need at Q4?

Deepseek AI Deepseek Coder V2 Instruct 0724 at Q4 is estimated to require about 36GB VRAM minimum, with 44GB recommended for smoother operation.

Which GPUs can run Deepseek AI Deepseek Coder V2 Instruct 0724 Q4?

Start with AMD Instinct MI300X, NVIDIA H200 SXM 141GB, NVIDIA H100 SXM5 80GB and review each compatibility page for full speed and fit details.

Should I use Q4 or a different quantization for Deepseek AI Deepseek Coder V2 Instruct 0724?

Q4 is a balance point between memory usage and quality. If your GPU is below 36GB, consider lower-bit quantization; if you have extra VRAM, compare Q8/FP16 options for quality-sensitive workloads.

Q436GB VRAM minimum

Deepseek AI Deepseek Coder V2 Instruct 0724 Q4 VRAM Requirements

This page answers Deepseek AI Deepseek Coder V2 Instruct 0724 q4 quantization queries with explicit calculations from our model requirement dataset and compatibility speed table.

Short answer

Direct requirement summary for Deepseek AI Deepseek Coder V2 Instruct 0724 Q4

Short answer: Deepseek AI Deepseek Coder V2 Instruct 0724 typically needs around 36GB VRAM at Q4, and 44GB is safer for smoother usage.

Minimum VRAM

36GB

Recommended VRAM

44GB

Target quantization

Requirement Snapshot

Current quantization-specific requirement breakdown

Selected quantizationQ4

Minimum VRAM36GB

Q4 baseline36GB

Q8 baseline72GB

FP16 baseline144GB

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.

Next steps for this requirement

AMD Instinct MI300X

Check full compatibility details and speed context for this model.

Can AMD Instinct MI300X run Deepseek AI Deepseek Coder V2 Instruct 0724? →Buy options for AMD Instinct MI300X →

NVIDIA H200 SXM 141GB

Check full compatibility details and speed context for this model.

Can NVIDIA H200 SXM 141GB run Deepseek AI Deepseek Coder V2 Instruct 0724? →Buy options for NVIDIA H200 SXM 141GB →

NVIDIA H100 SXM5 80GB

Check full compatibility details and speed context for this model.

Can NVIDIA H100 SXM5 80GB run Deepseek AI Deepseek Coder V2 Instruct 0724? →Buy options for NVIDIA H100 SXM5 80GB →

Need GPU recommendations?

Compare curated best GPU guides by budget and workload.

Browse best GPU guides →

Need a complete build?

Use proven local AI build recipes if you are planning a fresh hardware setup.

Browse local AI builds →

Prefer prebuilt systems?

Compare ready-to-buy systems if you want faster deployment.

Compare prebuilt systems →

Compare other quantization tiers for Deepseek AI Deepseek Coder V2 Instruct 0724

Q4_K_M requirements Q5_K_M requirements Q8 requirements FP16 requirements

Best GPUs for Deepseek AI Deepseek Coder V2 Instruct 0724 (Q4)

GPU	VRAM	Quantization	Speed	Compatibility	Buy
AMD Instinct MI300X	192GB	Q4	191 tok/s	View full compatibility	Buy options
NVIDIA H200 SXM 141GB	141GB	Q4	172 tok/s	View full compatibility	Buy options
NVIDIA H100 SXM5 80GB	80GB	Q4	124 tok/s	View full compatibility	Buy options
AMD Instinct MI250X	128GB	Q4	119 tok/s	View full compatibility	Buy options
NVIDIA H100 PCIe 80GB	80GB	Q4	79 tok/s	View full compatibility	Buy options
RTX 5090	32GB	Q4	75 tok/s	View full compatibility	Buy options
NVIDIA A100 80GB SXM4	80GB	Q4	73 tok/s	View full compatibility	Buy options
AMD Instinct MI210	64GB	Q4	59 tok/s	View full compatibility	Buy options
NVIDIA A100 40GB PCIe	40GB	Q4	57 tok/s	View full compatibility	Buy options
RTX 4090	24GB	Q4	45 tok/s	View full compatibility	Buy options
NVIDIA RTX 6000 Ada	48GB	Q4	45 tok/s	View full compatibility	Buy options
NVIDIA L40	48GB	Q4	41 tok/s	View full compatibility	Buy options

Back to Deepseek AI Deepseek Coder V2 Instruct 0724 model page Full hardware requirements Best GPU guides Prebuilt systems Local AI build guides

VRAM requirements FAQ

How much VRAM does Deepseek AI Deepseek Coder V2 Instruct 0724 need at Q4?

Deepseek AI Deepseek Coder V2 Instruct 0724 at Q4 is estimated to require about 36GB VRAM minimum, with 44GB recommended for smoother operation.

Which GPUs can run Deepseek AI Deepseek Coder V2 Instruct 0724 Q4?

Start with AMD Instinct MI300X, NVIDIA H200 SXM 141GB, NVIDIA H100 SXM5 80GB and review each compatibility page for full speed and fit details.

Should I use Q4 or a different quantization for Deepseek AI Deepseek Coder V2 Instruct 0724?

Q4 is a balance point between memory usage and quality. If your GPU is below 36GB, consider lower-bit quantization; if you have extra VRAM, compare Q8/FP16 options for quality-sensitive workloads.