DeepSeek V4 Flash 162B — Hardware Requirements & GPU Compatibility
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DeepSeek V4 Flash 162B is a 92.2B-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 55.62 GB of VRAM — see which GPUs and Macs can run it below.
1.0K downloads
11 likesSpecifications
- Publisher
- 0xSero
- Family
- DeepSeek
- Parameters
- 92.2B
- 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 162B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| IQ2_XXS | 2.20 | 25.7 GB | 37.2 GB | 25.35 GB | Importance-weighted 2-bit, extreme compression — significant quality loss |
| IQ2_XS | 2.40 | 28.0 GB | 39.5 GB | 27.65 GB | Importance-weighted 2-bit, extra small |
| Q2_K | 3.40 | 39.5 GB | 51.0 GB | 39.17 GB | 2-bit quantization with K-quant improvements |
| Q3_K_M | 3.90 | 45.3 GB | 56.8 GB | 44.93 GB | 3-bit medium quantization |
| Q4_K_M | 4.80 | 55.6 GB | 67.1 GB | 55.30 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 66.0 GB | 77.5 GB | 65.67 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 76.4 GB | 87.9 GB | 76.04 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 92.5 GB | 104.0 GB | 92.17 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run DeepSeek V4 Flash 162B?
Q4_K_M · 55.6 GBDeepSeek V4 Flash 162B (Q4_K_M) requires 55.6 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 73+ GB is recommended. Using the full 1049K context window can add up to 11.5 GB, bringing total usage to 67.1 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run DeepSeek V4 Flash 162B?
Q4_K_M · 55.6 GB8 devices with unified memory can run DeepSeek V4 Flash 162B, 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
Derivatives (1)
Frequently Asked Questions
- How much VRAM does DeepSeek V4 Flash 162B need?
DeepSeek V4 Flash 162B requires 55.6 GB of VRAM at Q4_K_M, or 92.5 GB at Q8_0. Full 1049K context adds up to 11.5 GB (67.1 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 92.2B × 4.8 bits ÷ 8 = 55.3 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_M55.6 GBQ4_K_M + full context67.1 GB- Can NVIDIA GeForce RTX 5090 run DeepSeek V4 Flash 162B?
Yes, at IQ2_XS (28.0 GB) or lower. Higher quantizations like Q2_K (39.5 GB) exceed the NVIDIA GeForce RTX 5090's 32 GB.
- What's the best quantization for DeepSeek V4 Flash 162B?
For DeepSeek V4 Flash 162B, Q4_K_M (55.6 GB) offers the best balance of quality and VRAM usage. Q5_K_M (66.0 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XXS at 25.7 GB.
VRAM requirement by quantization
IQ2_XXS25.7 GBQ2_K39.5 GBQ4_K_M ★55.6 GBQ5_K_M66.0 GBQ6_K76.4 GBQ8_092.5 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run DeepSeek V4 Flash 162B on a Mac?
DeepSeek V4 Flash 162B requires at least 25.7 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 162B locally?
Yes — DeepSeek V4 Flash 162B can run locally on consumer hardware. At Q4_K_M quantization it needs 55.6 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is DeepSeek V4 Flash 162B?
At Q4_K_M, DeepSeek V4 Flash 162B can reach ~52 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 ÷ 55.6 × 0.55 = ~52 tok/s
Estimated speed at Q4_K_M (55.6 GB)
~52 tok/s~39 tok/s~32 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 162B?
At Q4_K_M, the download is about 55.30 GB. The full-precision Q8_0 version is 92.17 GB. The smallest option (IQ2_XXS) is 25.35 GB.
- Which GPUs can run DeepSeek V4 Flash 162B?
No single consumer GPU has enough VRAM to run DeepSeek V4 Flash 162B at Q4_K_M (55.6 GB). Multi-GPU or professional hardware is required.
- Which devices can run DeepSeek V4 Flash 162B?
8 devices with unified memory can run DeepSeek V4 Flash 162B at Q4_K_M (55.6 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.