DeepSeek V4 Flash DSpark — Hardware Requirements & GPU Compatibility
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DeepSeek V4 Flash DSpark is a 165.3B-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 99.48 GB of VRAM — see which GPUs and Macs can run it below.
292.0K downloads
207 likesSpecifications
- Publisher
- DeepSeek
- Family
- DeepSeek V4
- Parameters
- 165.3B
- 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 Flash DSpark Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 70.6 GB | 82.1 GB | 70.24 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 80.9 GB | 92.4 GB | 80.57 GB | 3-bit medium quantization |
| Q4_K_Mest. | 4.80 | 99.5 GB | 111 GB | 99.16 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 118.1 GB | 129.6 GB | 117.75 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 136.7 GB | 148.2 GB | 136.34 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 165.6 GB | 177.1 GB | 165.27 GB | 8-bit quantization, near-lossless |
| BF16est. | 16.00 | 330.9 GB | 342.4 GB | 330.53 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 Flash DSpark?
Q4_K_M · 99.5 GBDeepSeek V4 Flash DSpark (Q4_K_M) requires 99.5 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 130+ GB is recommended. Using the full 1049K context window can add up to 11.5 GB, bringing total usage to 111 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run DeepSeek V4 Flash DSpark?
Q4_K_M · 99.5 GB11 devices with unified memory can run DeepSeek V4 Flash DSpark, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, MacBook Pro 16" M5 Max (128 GB).
Runs great
— Plenty of headroom
Related Models
Frequently Asked Questions
- How much VRAM does DeepSeek V4 Flash DSpark need?
DeepSeek V4 Flash DSpark requires 99.5 GB of VRAM at Q4_K_M, or 330.9 GB at BF16. Full 1049K context adds up to 11.5 GB (111 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 165.3B × 4.8 bits ÷ 8 = 99.2 GB
KV Cache + Overhead ≈ 0.3 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 11.8 GB (at full 1049K context)
VRAM usage by quantization
Q4_K_M99.5 GBQ4_K_M + full context111.0 GB- Can NVIDIA GeForce RTX 5090 run DeepSeek V4 Flash DSpark?
No — DeepSeek V4 Flash DSpark requires at least 70.6 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 DSpark?
For DeepSeek V4 Flash DSpark, Q4_K_M (99.5 GB) offers the best balance of quality and VRAM usage. Q5_K_M (118.1 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 70.6 GB.
VRAM requirement by quantization
Q2_K70.6 GBQ4_K_M ★99.5 GBQ5_K_M118.1 GBQ6_K136.7 GBQ8_0165.6 GBBF16330.9 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run DeepSeek V4 Flash DSpark on a Mac?
DeepSeek V4 Flash DSpark requires at least 70.6 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 DSpark locally?
Yes — DeepSeek V4 Flash DSpark can run locally on consumer hardware. At Q4_K_M quantization it needs 99.5 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is DeepSeek V4 Flash DSpark?
At Q4_K_M, DeepSeek V4 Flash DSpark can reach ~44 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 B200 → 8000 ÷ 99.5 × 0.65 = ~52 tok/s
Estimated speed at Q4_K_M (99.5 GB)
~52 tok/s~52 tok/s~44 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 DSpark?
At Q4_K_M, the download is about 99.16 GB. The full-precision BF16 version is 330.53 GB. The smallest option (Q2_K) is 70.24 GB.
- Which GPUs can run DeepSeek V4 Flash DSpark?
No single consumer GPU has enough VRAM to run DeepSeek V4 Flash DSpark at Q4_K_M (99.5 GB). Multi-GPU or professional hardware is required.
- Which devices can run DeepSeek V4 Flash DSpark?
18 devices with unified memory can run DeepSeek V4 Flash DSpark at Q4_K_M (99.5 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.