Can M3 Max run Mixtral 8x22B Instruct?
Yes — runs locally
~17 tok/sec · Good — slight pause, then text streams smoothly.
The verdict
The M3 Max (128 GB VRAM) handles Mixtral 8x22B Instruct comfortably using the Q4_K_M quantization, which fits in 88.0 GB. Expected throughput is around 17 tokens/second, which feels Good — slight pause, then text streams smoothly. in interactive use. 141 B total / 39 B active MoE. Larger Mixtral; needs serious hardware.
How to run it
- 1. Install Ollama or LM Studio.
- 2. Pull the
Q4_K_MGGUF — best balance of quality and speed on 128 GB. - 3. Start chatting. Expect ~17 tok/sec on first-token, faster after warmup.
Other models that run great on M3 Max
FAQ (20)
What GPU do I need to run Mixtral 8x22B Instruct?
To run Mixtral 8x22B Instruct, you need a GPU with at least 88 GB of VRAM, such as the NVIDIA A100 or H100.
Is Mixtral 8x22B Instruct good for coding?
Yes, Mixtral 8x22B Instruct is well-suited for coding tasks due to its large context length of 65,536 tokens and strong language understanding capabilities.
Mixtral 8x22B Instruct vs Llama 3.1 8B?
Mixtral 8x22B Instruct has significantly more parameters (141B vs 8B) and a longer context length (65,536 vs 2,048 tokens), making it more powerful but requiring more VRAM.
Can I run Mixtral 8x22B Instruct on a Mac?
Running Mixtral 8x22B Instruct on a Mac is possible if your Mac has a compatible GPU with at least 88 GB of VRAM, which is rare. Most Macs will struggle with this requirement.
How much VRAM does Mixtral 8x22B Instruct need?
Mixtral 8x22B Instruct requires 88 GB of VRAM, regardless of quantization, to run efficiently.
Is Mixtral 8x22B Instruct censored?
No, Mixtral 8x22B Instruct is not censored. It is designed to provide open and unrestricted responses, but it may still have content filters in place to prevent harmful outputs.
Is Mixtral 8x22B Instruct commercial-use allowed?
Yes, Mixtral 8x22B Instruct is licensed under the Apache-2.0 license, which allows for commercial use without additional fees.
Mixtral 8x22B Instruct context length?
The context length for Mixtral 8x22B Instruct is 65,536 tokens, allowing it to process very long sequences of text.
Want personalized recommendations for your exact setup? Detect my hardware →