text model · Nemotron · macOS
Can I run Nemotron 3.5 Super VL 120B-A12B on Apple M4 Max (128GB)?
Yes. Nemotron 3.5 Super VL 120B-A12B runs on Apple M4 Max (128GB) at Q4_K_M (~87.4 GB of ~96 GB usable).
Fits at Q4_K_M (~87.4 GB of ~96 GB usable) but with little headroom. Close other apps, or drop to a 2k context to free about a gigabyte.
That figure is at a 4k context and moves about ±15% as context length changes. Apple M4 Max (128GB) leaves ~8.6 GB of headroom.
- Q4_K_M needed
- ~87.4 GB
- Usable on device
- ~96 GB
- Device memory
- 128 GB
- Best quant
- Q4_K_M
Which quant fits
Run it
Loads the Q4_K_M weights.
ollama run nemotron-3.5-super:120b-a12b-q4_K_M - Parameters
- 120B (MoE, 12B active)
- Q4_K_M size
- 83.96 GB
- Context
- 1024k
- Ollama tag
- nemotron-3.5-super:120b-a12b-q4_K_M
- Memory
- 128 GB unified
- Usable for weights
- ~96 GB
- Power draw
- ~145 W
- Best runtime
- MLX direct / Ollama (MLX backend)
You could also run
Run Nemotron 3.5 Super VL 120B-A12B on other hardware
FAQ
Can Apple M4 Max (128GB) run Nemotron 3.5 Super VL 120B-A12B?
Yes. Nemotron 3.5 Super VL 120B-A12B runs on Apple M4 Max (128GB) at Q4_K_M (~87.4 GB of ~96 GB usable).
How much memory does Nemotron 3.5 Super VL 120B-A12B need?
It is a tight fit on Apple M4 Max (128GB). At Q4_K_M the weights are ~83.96 GB; with KV cache and runtime overhead, budget ~87.4 GB at a 4k context. It is a Mixture-of-Experts model (120B total / 12B active), so all experts must stay in memory; memory tracks total params, not active params.
What is the best tool to run Nemotron 3.5 Super VL 120B-A12B on macOS?
LM Studio for a simple setup; mlx-lm for the most speed. vLLM is NOT a Mac tool, it is a CUDA/Linux serving engine. Unified memory is not a fixed VRAM slice; ~70% is usable for weights.
Embed this
[](https://localmodel.run/can-i-run/nemotron-3.5-super-120b-a12b/apple-m4-max-128gb) Sources
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apple.com · 1 source
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github.com · 2 sources
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lmstudio.ai · 1 source
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ollama.com · 1 source
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registry.ollama.ai · 1 source
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stencel.io · 1 source
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support.apple.com · 2 sources
Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.