Can L4 run Mixtral 8x7B Instruct?

Yes — runs locally

~27 tok/sec · Good — slight pause, then text streams smoothly.

Your VRAM

24 GB

Model size

46.7B

Best quant

Q4_K_M

VRAM needed

25.1 GB

The verdict

The L4 (24 GB VRAM) handles Mixtral 8x7B Instruct comfortably using the Q4_K_M quantization, which fits in 25.1 GB. Expected throughput is around 27 tokens/second, which feels Good — slight pause, then text streams smoothly. in interactive use. The OG public MoE — 8 experts, 2 active per token, 47 B total / 13 B active. Apache-2.0.

How to run it

1. Install Ollama or LM Studio.
2. Pull the Q4_K_M GGUF — best balance of quality and speed on 24 GB.
3. Start chatting. Expect ~27 tok/sec on first-token, faster after warmup.

See full Mixtral 8x7B Instruct setup →

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FAQ (20)

What GPU do I need to run Mixtral 8x7B Instruct?

To run Mixtral 8x7B Instruct, you need a GPU with at least 25.1 GB of VRAM, but 30.5 GB is recommended for optimal performance.

Is Mixtral 8x7B Instruct good for coding?

Mixtral 8x7B Instruct is well-suited for coding tasks due to its large context length of 32,768 tokens and strong language understanding capabilities.

Mixtral 8x7B Instruct vs Llama 3.1 8B?

Mixtral 8x7B Instruct has more parameters (46.7B vs 8B) and a longer context length (32,768 vs 2,048), making it more powerful for complex tasks but requiring more VRAM.

Can I run Mixtral 8x7B Instruct on a Mac?

Yes, you can run Mixtral 8x7B Instruct on a Mac, but you will need a Mac with an M1 or later chip and sufficient VRAM to handle the model's requirements.

How much VRAM does Mixtral 8x7B Instruct need?

Mixtral 8x7B Instruct requires between 25.1 GB and 30.5 GB of VRAM, depending on the quantization level used.

Is Mixtral 8x7B Instruct censored?

No, Mixtral 8x7B Instruct is not censored; it provides uncensored responses based on the input it receives.

Is Mixtral 8x7B Instruct commercial-use allowed?

Yes, Mixtral 8x7B Instruct is licensed under the Apache-2.0 license, which allows for commercial use.

Mixtral 8x7B Instruct context length?

The context length of Mixtral 8x7B Instruct is 32,768 tokens, allowing it to handle very long inputs and maintain context over extended conversations.

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