0xSero·DeepSeek V4·DeepseekV4ForCausalLM

DeepSeek V4 Flash 180B — Hardware Requirements & GPU Compatibility

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DeepSeek V4 Flash 180B is a 101.6B-parameter open language model from 0xSero in the DeepSeek V4 family. It supports a context window of up to 1,048,576 tokens. At Q4_K_M it needs about 61.27 GB of VRAM — see which GPUs and Macs can run it below.

924 downloads 10 likes1049K context

Specifications

Publisher
0xSero
Family
DeepSeek V4
Parameters
101.6B
Architecture
DeepseekV4ForCausalLM
Context Length
1,048,576 tokens
Vocabulary Size
129,280
Release Date
2026-05-27
License
MIT

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How Much VRAM Does DeepSeek V4 Flash 180B Need?

Select a quantization to see compatible GPUs below.

QuantizationBitsVRAM
Q2_Kest.3.4043.5 GB
Q3_K_Mest.3.9049.8 GB
Q4_K_Mest.4.8061.3 GB
Q5_K_Mest.5.7072.7 GB
Q6_Kest.6.6084.1 GB
Q8_0est.8.00101.9 GB
BF16est.16.00203.5 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 Flash 180B?

Q4_K_M · 61.3 GB

DeepSeek V4 Flash 180B (Q4_K_M) requires 61.3 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 80+ GB is recommended. Using the full 1049K context window can add up to 11.5 GB, bringing total usage to 72.8 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.

Which Devices Can Run DeepSeek V4 Flash 180B?

Q4_K_M · 61.3 GB

22 devices with unified memory can run DeepSeek V4 Flash 180B, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio (M3 Ultra, 96GB).

Related Models

Frequently Asked Questions

How much VRAM does DeepSeek V4 Flash 180B need?

DeepSeek V4 Flash 180B requires 61.3 GB of VRAM at Q4_K_M, or 203.5 GB at BF16. Full 1049K context adds up to 11.5 GB (72.8 GB total).

VRAM = Weights + KV Cache + Overhead

Weights = 101.6B × 4.8 bits ÷ 8 = 60.9 GB

KV Cache + Overhead 0.4 GB (at 2K context + ~0.3 GB framework)

KV Cache + Overhead 11.9 GB (at full 1049K context)

VRAM usage by quantization

61.3 GB
72.8 GB

Learn more about VRAM estimation →

Can NVIDIA GeForce RTX 5090 run DeepSeek V4 Flash 180B?

No — DeepSeek V4 Flash 180B requires at least 43.5 GB at Q2_K, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.

What's the best quantization for DeepSeek V4 Flash 180B?

For DeepSeek V4 Flash 180B, Q4_K_M (61.3 GB) offers the best balance of quality and VRAM usage. Q5_K_M (72.7 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 43.5 GB.

VRAM requirement by quantization

Q2_K
43.5 GB
Q4_K_M
61.3 GB
Q5_K_M
72.7 GB
Q6_K
84.1 GB
Q8_0
101.9 GB
BF16
203.5 GB

★ Recommended — best balance of quality and VRAM usage.

Learn more about quantization →

Can I run DeepSeek V4 Flash 180B on a Mac?

DeepSeek V4 Flash 180B requires at least 43.5 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 Flash 180B locally?

Yes — DeepSeek V4 Flash 180B can run locally on consumer hardware. At Q4_K_M quantization it needs 61.3 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.

How fast is DeepSeek V4 Flash 180B?

At Q4_K_M, DeepSeek V4 Flash 180B can reach ~72 tok/s on AMD Instinct MI350X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.

tok/s = (bandwidth GB/s ÷ model GB) × efficiency

Example: NVIDIA B2008000 ÷ 61.3 × 0.65 = ~85 tok/s

Estimated speed at Q4_K_M (61.3 GB)

~85 tok/s
~85 tok/s
~72 tok/s

Real-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.

Learn more about tok/s estimation →

What's the download size of DeepSeek V4 Flash 180B?

At Q4_K_M, the download is about 60.95 GB. The full-precision BF16 version is 203.16 GB. The smallest option (Q2_K) is 43.17 GB.

Which GPUs can run DeepSeek V4 Flash 180B?

No single consumer GPU has enough VRAM to run DeepSeek V4 Flash 180B at Q4_K_M (61.3 GB). Multi-GPU or professional hardware is required.

Which devices can run DeepSeek V4 Flash 180B?

23 devices with unified memory can run DeepSeek V4 Flash 180B at Q4_K_M (61.3 GB), including ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB), Framework Desktop (Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.