DeepSeek·DeepSeek V4·DeepseekV4ForCausalLM

DeepSeek V4 Pro — Hardware Requirements & GPU Compatibility

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DeepSeek V4 Pro is a 1598.8B-parameter open language model from DeepSeek in the DeepSeek V4 family. It supports a context window of up to 1,048,576 tokens. At Q4_K_M it needs about 959.63 GB of VRAM — see which GPUs and Macs can run it below.

652.3K downloads 5.5K likes 32.0K quant downloads1049K context

Specifications

Publisher
DeepSeek
Family
DeepSeek V4
Parameters
1598.8B
Architecture
DeepseekV4ForCausalLM
Context Length
1,048,576 tokens
Vocabulary Size
129,280
Release Date
2026-04-22
License
MIT

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How Much VRAM Does DeepSeek V4 Pro Need?

Select a quantization to see compatible GPUs below.

QuantizationBitsVRAM
Q2_K3.40679.8 GB
Q3_K_M3.90779.8 GB
Q4_K_M4.80959.6 GB
Q5_K_Mest.5.701139.5 GB
Q6_Kest.6.601319.4 GB
Q8_08.001599.2 GB
BF16est.16.003198.0 GB

est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.

Which GPUs Can Run DeepSeek V4 Pro?

Q4_K_M · 959.6 GB

DeepSeek V4 Pro (Q4_K_M) requires 959.6 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 1248+ GB is recommended. Using the full 1049K context window can add up to 14.3 GB, bringing total usage to 973.9 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.

Where to Download DeepSeek V4 Pro

Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.

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Frequently Asked Questions

How much VRAM does DeepSeek V4 Pro need?

DeepSeek V4 Pro requires 959.6 GB of VRAM at Q4_K_M, or 3198.0 GB at BF16. Full 1049K context adds up to 14.3 GB (973.9 GB total).

VRAM = Weights + KV Cache + Overhead

Weights = 1598.8B × 4.8 bits ÷ 8 = 959.3 GB

KV Cache + Overhead 0.3 GB (at 2K context + ~0.3 GB framework)

KV Cache + Overhead 14.6 GB (at full 1049K context)

VRAM usage by quantization

959.6 GB
973.9 GB

Learn more about VRAM estimation →

Can NVIDIA GeForce RTX 5090 run DeepSeek V4 Pro?

No — DeepSeek V4 Pro requires at least 679.8 GB at Q2_K, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.

What's the best quantization for DeepSeek V4 Pro?

For DeepSeek V4 Pro, Q4_K_M (959.6 GB) offers the best balance of quality and VRAM usage. Q5_K_M (1139.5 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 679.8 GB.

VRAM requirement by quantization

Q2_K
679.8 GB
Q4_K_M
959.6 GB
Q5_K_M
1139.5 GB
Q6_K
1319.4 GB
Q8_0
1599.2 GB
BF16
3198.0 GB

★ Recommended — best balance of quality and VRAM usage.

Learn more about quantization →

Can I run DeepSeek V4 Pro on a Mac?

DeepSeek V4 Pro requires at least 679.8 GB at Q2_K, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.

Can I run DeepSeek V4 Pro locally?

Yes — DeepSeek V4 Pro can run locally on consumer hardware. At Q4_K_M quantization it needs 959.6 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.

What's the download size of DeepSeek V4 Pro?

At Q4_K_M, the download is about 959.30 GB. The full-precision BF16 version is 3197.68 GB. The smallest option (Q2_K) is 679.51 GB.

Which GPUs can run DeepSeek V4 Pro?

No single consumer GPU has enough VRAM to run DeepSeek V4 Pro at Q4_K_M (959.6 GB). Multi-GPU or professional hardware is required.

Which devices can run DeepSeek V4 Pro?

DeepSeek V4 Pro requires at least 959.6 GB at Q4_K_M, which exceeds the unified memory of most consumer devices. A high-memory Mac Studio, Mac Pro, or multi-GPU desktop setup is recommended.