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 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 likesSpecifications
- Publisher
- 0xSero
- Family
- DeepSeek
- Parameters
- 101.6B
- Architecture
- DeepseekV4ForCausalLM
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 129,280
- Release Date
- 2026-05-30
- License
- MIT
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HuggingFace
How Much VRAM Does DeepSeek V4 Flash 180B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| IQ2_XXS | 2.20 | 28.3 GB | 39.8 GB | 27.93 GB | Importance-weighted 2-bit, extreme compression — significant quality loss |
| IQ2_XS | 2.40 | 30.8 GB | 42.3 GB | 30.47 GB | Importance-weighted 2-bit, extra small |
| Q2_K | 3.40 | 43.5 GB | 55.0 GB | 43.17 GB | 2-bit quantization with K-quant improvements |
| Q3_K_M | 3.90 | 49.8 GB | 61.4 GB | 49.52 GB | 3-bit medium quantization |
| Q4_K_M | 4.80 | 61.3 GB | 72.8 GB | 60.95 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 72.7 GB | 84.2 GB | 72.38 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 84.1 GB | 95.7 GB | 83.80 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 101.9 GB | 113.4 GB | 101.58 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run DeepSeek V4 Flash 180B?
Q4_K_M · 61.3 GBDeepSeek 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 GB8 devices with unified memory can run DeepSeek V4 Flash 180B, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio M4 Max (64 GB).
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightRelated 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 101.9 GB at Q8_0. 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
Q4_K_M61.3 GBQ4_K_M + full context72.8 GB- Can NVIDIA GeForce RTX 5090 run DeepSeek V4 Flash 180B?
Yes, at IQ2_XS (30.8 GB) or lower. Higher quantizations like Q2_K (43.5 GB) exceed the NVIDIA GeForce RTX 5090's 32 GB.
- 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 IQ2_XXS at 28.3 GB.
VRAM requirement by quantization
IQ2_XXS28.3 GBQ2_K43.5 GBQ4_K_M ★61.3 GBQ5_K_M72.7 GBQ6_K84.1 GBQ8_0101.9 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run DeepSeek V4 Flash 180B on a Mac?
DeepSeek V4 Flash 180B requires at least 28.3 GB at IQ2_XXS, 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 ~48 tok/s on AMD Instinct MI300X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: AMD Instinct MI300X → 5300 ÷ 61.3 × 0.55 = ~48 tok/s
Estimated speed at Q4_K_M (61.3 GB)
~48 tok/s~36 tok/s~29 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of DeepSeek V4 Flash 180B?
At Q4_K_M, the download is about 60.95 GB. The full-precision Q8_0 version is 101.58 GB. The smallest option (IQ2_XXS) is 27.93 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?
8 devices with unified memory can run DeepSeek V4 Flash 180B at Q4_K_M (61.3 GB), including Mac Pro M2 Ultra (192 GB), Mac Studio M2 Ultra (192 GB), Mac Studio M4 Max (128 GB), Mac Studio M4 Max (64 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.