DeepSeek V4 Pro DSpark — Hardware Requirements & GPU Compatibility
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DeepSeek V4 Pro DSpark is a 889.5B-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 534.02 GB of VRAM — see which GPUs and Macs can run it below.
43.9K downloads
493 likesSpecifications
- Publisher
- DeepSeek
- Family
- DeepSeek V4
- Parameters
- 889.5B
- Architecture
- DeepseekV4ForCausalLM
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 129,280
- Release Date
- 2026-06-27
- License
- MIT
Get Started
HuggingFace
How Much VRAM Does DeepSeek V4 Pro DSpark Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 378.4 GB | 392.7 GB | 378.03 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 433.9 GB | 448.3 GB | 433.62 GB | 3-bit medium quantization |
| Q4_K_Mest. | 4.80 | 534.0 GB | 548.3 GB | 533.69 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 634.1 GB | 648.4 GB | 633.76 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 734.1 GB | 748.5 GB | 733.83 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 889.8 GB | 904.1 GB | 889.48 GB | 8-bit quantization, near-lossless |
| BF16est. | 16.00 | 1779.3 GB | 1793.6 GB | 1778.97 GB | Brain floating point 16 — preferred for training |
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 DSpark?
Q4_K_M · 534.0 GBDeepSeek V4 Pro DSpark (Q4_K_M) requires 534.0 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 695+ GB is recommended. Using the full 1049K context window can add up to 14.3 GB, bringing total usage to 548.3 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run DeepSeek V4 Pro DSpark?
Q4_K_M · 534.0 GB2 devices with unified memory can run DeepSeek V4 Pro DSpark, including NVIDIA DGX H100.
Decent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does DeepSeek V4 Pro DSpark need?
DeepSeek V4 Pro DSpark requires 534.0 GB of VRAM at Q4_K_M, or 1779.3 GB at BF16. Full 1049K context adds up to 14.3 GB (548.3 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 889.5B × 4.8 bits ÷ 8 = 533.7 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
Q4_K_M534.0 GBQ4_K_M + full context548.3 GB- Can NVIDIA GeForce RTX 5090 run DeepSeek V4 Pro DSpark?
No — DeepSeek V4 Pro DSpark requires at least 378.4 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 DSpark?
For DeepSeek V4 Pro DSpark, Q4_K_M (534.0 GB) offers the best balance of quality and VRAM usage. Q5_K_M (634.1 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 378.4 GB.
VRAM requirement by quantization
Q2_K378.4 GBQ4_K_M ★534.0 GBQ5_K_M634.1 GBQ6_K734.1 GBQ8_0889.8 GBBF161779.3 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run DeepSeek V4 Pro DSpark on a Mac?
DeepSeek V4 Pro DSpark requires at least 378.4 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 DSpark locally?
Yes — DeepSeek V4 Pro DSpark can run locally on consumer hardware. At Q4_K_M quantization it needs 534.0 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of DeepSeek V4 Pro DSpark?
At Q4_K_M, the download is about 533.69 GB. The full-precision BF16 version is 1778.97 GB. The smallest option (Q2_K) is 378.03 GB.
- Which GPUs can run DeepSeek V4 Pro DSpark?
No single consumer GPU has enough VRAM to run DeepSeek V4 Pro DSpark at Q4_K_M (534.0 GB). Multi-GPU or professional hardware is required.
- Which devices can run DeepSeek V4 Pro DSpark?
2 devices with unified memory can run DeepSeek V4 Pro DSpark at Q4_K_M (534.0 GB), including NVIDIA DGX A100 640GB, NVIDIA DGX H100. Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.