Run Nemotron 3.5 Bolt 74B-A9B on M5 Max

Nemotron 3.5 Bolt 74B-A9B runs at 64 tok/s (63.6 as recorded) on a 128 GB M5 Max, a community run reported by huggingface.co (MLX, 5-bit, 64-token greedy sample). It needs about 45 GB of unified memory. It is NVIDIA's 74B mixture-of-experts model (9B active), released under the OpenMDW licence.

Runtime caveat

Stock llama.cpp segfaults on Metal (the fix, PR #30699, is unmerged) and Ollama does not support Apple Silicon; it runs through community MLX ports (mlx-vlm, oMLX, Rapid-MLX).

Speed
community64
tok/s
First Token
—
seconds
RAM Needed
45
GB minimum
Engine
MLX
of this figure
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The figure

This is a community run: a real run, reported by its source and linked below. The index records it as given and never adjusts it.

MetricValue
Tokens per secondcommunity64 tok/s
Provenancecommunity run · huggingface.co
Quantization5-bit
EngineMLX
Context64-token greedy sample
Figure dated2026-10-16
Minimum RAM45 GB
Parameters74B MoE (9B active)
Chip bandwidth614 GB/s

Every figure for Nemotron 3.5 Bolt 74B-A9B on the M5 Max

Each row as the index holds it, with its source. “Mac RAM” is the memory of the Mac a run used, not the model’s requirement (45 GB). The headline figure follows the reference rule: the lower-median measured plain-decode run at 5 bits or fewer (a run whose quant was not stated counts only when no stated-quant run qualifies), else the estimate; a run marked “not used to anchor estimates” is listed here but never becomes the headline.

SpeedQuantEngineMac RAMContextSourceNote
community71.7 tok/s4-bitMLX128 GB128-token greedy samplehuggingface.coCommunity MLX port: MLX-VLM e17c49a on MLX 0.32.4; 4-bit affine g64 (43.15 GB), no MTP head in the checkpoint; 46.6 GB peak. Same figure in mlx-vlm PR #2528.
community63.6 tok/s5-bitMLX128 GB64-token greedy samplehuggingface.coCommunity MLX port: MLX-VLM e17c49a on MLX 0.32.4; 5-bit affine g64, vision encoder BF16; 59.6 GB peak.
community37 tok/s8-bitMLX128 GB—huggingface.coCommunity MLX port: mlx-vlm 0.7.8 + the uploader's nemotron_h_omni port; 8-bit g64 (~81 GB); lower bound of 37–41.; not used to anchor estimates
Provenance key
sourced
Published figure — vendor or press review
estimated
community
Linked individual run — blog, forum or submission

Setup: run Nemotron 3.5 Bolt 74B-A9B on a Mac

Ollama — the index has not verified an Ollama tag for Nemotron 3.5 Bolt 74B-A9B, so it doesn’t print one (a guessed tag fails with “pull model manifest: file does not exist”). Search the Ollama library →

MLX — pick a build from Hugging Face’s MLX listings, then run it with its repo id:

pip install -U mlx-lm
mlx_lm.generate --model <repo-id> --prompt "Hello"

Downloads: Hugging Face repo → · model card →

The 64 tok/s figure above came from MLX at 5-bit; other runtimes and quants run at different speeds.

Prefer a GUI? LM Studio downloads GGUF and MLX builds in one click. Step by step: install Ollama on a Mac.

Nemotron 3.5 Bolt 74B-A9B on other Apple Silicon chips

ChipSpeedQuantEngineBandwidth
M4 Maxestimated65 tok/s4-bitMLX546 GB/s
M3 Ultracommunity57 tok/s4-bitMLX819 GB/s
M3 Maxestimated49 tok/s4-bitMLX400 GB/s
M5 Proestimated38 tok/s4-bitMLX307 GB/s

About Nemotron 3.5 Bolt 74B-A9B

NVIDIA's OpenMDW 74B MoE (9B active), compressed from Super VL, with a native 2-bit '24 GB' build (15 Oct 2026). On a Mac it needs a community runtime today: stock llama.cpp crashes on Metal until PR #30699 merges, Ollama says Apple Silicon is unsupported, and NVIDIA's 24 GB GGUF runs its NVFP4 layers on the CPU (~6 tok/s). MLX ports for mlx-vlm from git work: ~43 GB at 4-bit, with community runs of 64–72 tok/s (5-bit / 4-bit) on an M5 Max.

OpenMDW licence · 74B MoE · 256K context · LLMCheck capability 40/50 · see its leaderboard rank →

System requirements

Macs with the M5 Max

🛒 Get a Mac that runs Nemotron 3.5 Bolt 74B-A9B

Nemotron 3.5 Bolt 74B-A9B needs about 45 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:

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