Can I run DeepSeek MoE 16B on my device?

DeepSeek MoE 16B requires a minimum of 11GB VRAM. Use RunThisModel to check your specific hardware compatibility and find the best quantization for your device.

How much VRAM does DeepSeek MoE 16B need?

DeepSeek MoE 16B needs 11GB VRAM at minimum (Q4_K_M quantization). Higher quality quantizations need more: Q4_K_M: 11GB.

How do I download DeepSeek MoE 16B?

You can download DeepSeek MoE 16B in GGUF format from HuggingFace (9.5GB minimum). Use the RunThisModel iOS app to download and run it directly on your device, or download manually from HuggingFace.

Can DeepSeek MoE 16B run on iPhone?

DeepSeek MoE 16B at 16.4B parameters is too large for most iPhones. Consider using an iPad with M-series chip or Mac with Apple Silicon.

DeepSeek

DeepSeek MoE 16B

Name: DeepSeek MoE 16B
Author: DeepSeek

DeepSeek first MoE — 16.4 B total, 2.8 B active. The original consumer-runnable open MoE.

16.4B parametersdeepseek-moeother4K context11GB - 11GB VRAM

About This Model

DeepSeek MoE 16B was an early proof that consumer-runnable MoE was possible — 16 B total parameters fitting on an 11 GB card at Q4, with only 2.8 B active per token for fast inference. Mostly historical interest now that Qwen3 MoE and OLMoE exist, but still a clean Apache-style demonstration of the recipe.

Check Your Hardware

See which quantizations of DeepSeek MoE 16B your hardware can run.

Quantization Options

Quantization	Bits	File Size	VRAM Needed	RAM Needed	Quality
Q4_K_M	4.5	9.5 GB	11 GB	16 GB	85%

Context window & KV cache

Adds 0.75 GB to VRAM

Long chats and RAG inputs cost real memory. Drag to see how 32K vs 128K context shifts your grade.

Model native max: 4K tokens. KV-cache estimate is approximate (±30 %); real usage depends on attention layout.

How to run DeepSeek MoE 16B

Pick a runtime — copy & paste. Commands are pre-filled with this model’s repo.

GUI. Browse → download → chat. MLX on Apple Silicon.

LM Studio home →

1
Open LM Studio
Go to the 🔍 Search tab.
2
Search for
```
TheBloke/deepseek-moe-16b-chat-GGUF
```
3
Download
Pick the Q4_K_M quant — best balance of size vs. quality.
4
Chat
Hit ▶ Load Model and start chatting. Toggle 'Local Server' to expose an OpenAI-compatible API on :1234.

Community benchmarks

Real tokens/sec reports from people running DeepSeek MoE 16B on actual hardware.

No community runs yet for this model. Be the first to submit your numbers.

Download & Run

HuggingFace

View model & download weights

Ollama

One-command install & run

See It In Action

Real model outputs generated via RunThisModel.com — watch responses stream in real time.

Llama 3.3 70B responding...

Outputs generated by real AI models via RunThisModel.com. Generation speed shown is from cloud inference. Local speeds vary by hardware — check your device.

Frequently Asked Questions

How much VRAM do I need to run DeepSeek MoE 16B?

DeepSeek MoE 16B requires 11GB VRAM minimum with Q4_K_M quantization. For full precision, you need 11GB VRAM.

What is the best quantization for DeepSeek MoE 16B?

Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.