DeepSeek V4 Flash — Hardware Requirements & GPU Compatibility
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DeepSeek V4 Flash is a 158.1B-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 95.16 GB of VRAM — see which GPUs and Macs can run it below.
2.9M downloads
1.8K likesSpecifications
- Publisher
- DeepSeek
- Family
- DeepSeek V4
- Parameters
- 158.1B
- Architecture
- DeepseekV4ForCausalLM
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 129,280
- Release Date
- 2026-04-22
- License
- MIT
Get Started
HuggingFace
How Much VRAM Does DeepSeek V4 Flash Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| IQ2_XXS | 2.20 | 43.8 GB | 55.3 GB | 43.47 GB | Importance-weighted 2-bit, extreme compression — significant quality loss |
| IQ2_XS | 2.40 | 47.7 GB | 59.3 GB | 47.42 GB | Importance-weighted 2-bit, extra small |
| Q2_K | 3.40 | 67.5 GB | 79.0 GB | 67.18 GB | 2-bit quantization with K-quant improvements |
| Q3_K_M | 3.90 | 77.4 GB | 88.9 GB | 77.06 GB | 3-bit medium quantization |
| Q4_K_M | 4.80 | 95.2 GB | 106.7 GB | 94.84 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 113.0 GB | 124.5 GB | 112.62 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 130.7 GB | 142.3 GB | 130.41 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 158.4 GB | 169.9 GB | 158.07 GB | 8-bit quantization, near-lossless |
| BF16est. | 16.00 | 316.5 GB | 328.0 GB | 316.14 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?
Q4_K_M · 95.2 GBDeepSeek V4 Flash (Q4_K_M) requires 95.2 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 124+ GB is recommended. Using the full 1049K context window can add up to 11.5 GB, bringing total usage to 106.7 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run DeepSeek V4 Flash?
Q4_K_M · 95.2 GB18 devices with unified memory can run DeepSeek V4 Flash, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, MacBook Pro 16" M5 Max (128 GB).
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightWhere to Download DeepSeek V4 Flash
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
Benchmarks
Benchmark details →Related Models
Frequently Asked Questions
- How much VRAM does DeepSeek V4 Flash need?
DeepSeek V4 Flash requires 95.2 GB of VRAM at Q4_K_M, or 316.5 GB at BF16. Full 1049K context adds up to 11.5 GB (106.7 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 158.1B × 4.8 bits ÷ 8 = 94.8 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_M95.2 GBQ4_K_M + full context106.7 GB- Can NVIDIA GeForce RTX 5090 run DeepSeek V4 Flash?
No — DeepSeek V4 Flash requires at least 43.8 GB at IQ2_XXS, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- What's the best quantization for DeepSeek V4 Flash?
For DeepSeek V4 Flash, Q4_K_M (95.2 GB) offers the best balance of quality and VRAM usage. Q5_K_M (113.0 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XXS at 43.8 GB.
VRAM requirement by quantization
IQ2_XXS43.8 GBQ2_K67.5 GBQ4_K_M ★95.2 GBQ5_K_M113.0 GBQ6_K130.7 GBBF16316.5 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run DeepSeek V4 Flash on a Mac?
DeepSeek V4 Flash requires at least 43.8 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 locally?
Yes — DeepSeek V4 Flash can run locally on consumer hardware. At Q4_K_M quantization it needs 95.2 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is DeepSeek V4 Flash?
At Q4_K_M, DeepSeek V4 Flash can reach ~46 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 ÷ 95.2 × 0.65 = ~55 tok/s
Estimated speed at Q4_K_M (95.2 GB)
~55 tok/s~55 tok/s~46 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?
At Q4_K_M, the download is about 94.84 GB. The full-precision BF16 version is 316.14 GB. The smallest option (IQ2_XXS) is 43.47 GB.
- Which GPUs can run DeepSeek V4 Flash?
No single consumer GPU has enough VRAM to run DeepSeek V4 Flash at Q4_K_M (95.2 GB). Multi-GPU or professional hardware is required.
- Which devices can run DeepSeek V4 Flash?
19 devices with unified memory can run DeepSeek V4 Flash at Q4_K_M (95.2 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.