FAQ: DeepSeek V4 Review: Architecture, Benchmarks & The End of Rent-Seeking AI

Question 1

Is DeepSeek V4 truly open source?

Accepted Answer

Yes. The model weights are released under an MIT-compatible license, allowing for unrestricted commercial use.

Question 2

What hardware do I need for local inference?

Accepted Answer

For the 4-bit quantized version, you need at least 48GB of VRAM (e.g., dual RTX 4090s or a single RTX 6000 Ada).

Question 3

What is the difference between Base and Chat versions?

Accepted Answer

Base is designed for fine-tuning on your specific industry data. Chat is optimized for immediate conversational utility and instruction following.

Question 4

Does it support non-English languages?

Accepted Answer

Yes. Due to massive multi-lingual training, its performance in technical German, Chinese, and French is on par with English, though it may miss cultural nuances in casual conversation.

Alyvro

FAQ: DeepSeek V4 Review: Architecture, Benchmarks & The End of Rent-Seeking AI

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