Can RTX 4060 run DeepSeek MoE 16B?

Yes — runs locally

~0 tok/sec · Cannot run — insufficient VRAM

Your VRAM

8 GB

Model size

16.4B

Best quant

Q4_K_M

VRAM needed

11.0 GB

The verdict

The RTX 4060 (8 GB VRAM) handles DeepSeek MoE 16B comfortably using the Q4_K_M quantization, which fits in 11.0 GB. Expected throughput is around 0 tokens/second, which feels Cannot run — insufficient VRAM in interactive use. DeepSeek first MoE — 16.4 B total, 2.8 B active. The original consumer-runnable open MoE.

How to run it

1. Install Ollama or LM Studio.
2. Pull the Q4_K_M GGUF — best balance of quality and speed on 8 GB.
3. Start chatting. Expect ~0 tok/sec on first-token, faster after warmup.

See full DeepSeek MoE 16B setup →

Other models that run great on RTX 4060

FAQ (20)

What GPU do I need to run DeepSeek MoE 16B?

To run DeepSeek MoE 16B, you need a GPU with at least 11.0 GB of VRAM. NVIDIA RTX 3070 or higher is recommended for optimal performance.

Is DeepSeek MoE 16B good for coding?

DeepSeek MoE 16B is well-suited for coding tasks due to its large context length of 4096 tokens and strong language understanding capabilities.

DeepSeek MoE 16B vs Llama 3.1 8B?

DeepSeek MoE 16B has more parameters (16.4B vs 8B) and a longer context length (4096 vs 2048), making it more powerful but requiring more VRAM.

Can I run DeepSeek MoE 16B on a Mac?

Yes, you can run DeepSeek MoE 16B on a Mac with a compatible GPU, such as an AMD Radeon Pro 5600M or an external GPU with at least 11.0 GB VRAM.

How much VRAM does DeepSeek MoE 16B need?

DeepSeek MoE 16B requires at least 11.0 GB of VRAM, depending on the quantization level used.

Is DeepSeek MoE 16B censored?

DeepSeek MoE 16B is not explicitly censored, but it may have content filters in place to prevent harmful or inappropriate outputs.

Is DeepSeek MoE 16B commercial-use allowed?

The license for DeepSeek MoE 16B is marked as 'other,' so you should check the specific terms provided by DeepSeek for commercial use permissions.

DeepSeek MoE 16B context length?

DeepSeek MoE 16B has a context length of 4096 tokens, allowing it to handle longer inputs and maintain context over extended conversations.

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