Run Nemotron 3.5 Bolt E4B on M5 Pro

The LLMCheck index estimates Nemotron 3.5 Bolt E4B at ~91 tok/s on an M5 Pro at Q4_K_M, a figure from its published bandwidth model, not a measured run. It needs about 6 GB of unified memory. It is NVIDIA's 4B dense model, released under the OpenMDW licence.

Speed
estimated~91
tok/s
First Token
—
seconds
RAM Needed
6
GB minimum
Engine
—
estimate
Want to run Nemotron 3.5 Bolt E4B faster — or step up to bigger models? Find your Mac →

The figure

This is an LLMCheck index estimate from its published two-term bandwidth model, not a measured run; the index labels it so everywhere it appears. Own this Mac? Submit a real run →

MetricValue
Tokens per secondestimated~91 tok/s
Provenanceestimate · how estimates are made
QuantizationQ4_K_M
Minimum RAM6 GB
Parameters4B
Chip bandwidth307 GB/s

Every figure for Nemotron 3.5 Bolt E4B on the M5 Pro

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 (6 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
community46.4 tok/soQ8eMLX64 GB1komlx.ai20-core GPU. oMLX v0.7.2, MTP/DFlash off; NVIDIA-Nemotron-3.5-Bolt-E4B-oQ8e; 8.1 GB peak. 42.3 tok/s at 4k (uhc5jo38).
Provenance key
sourced
Published figure — vendor or press review
estimated
community
Linked individual run — blog, forum or submission

Setup: run Nemotron 3.5 Bolt E4B on a Mac

Ollama — install it (brew install ollama or the app from ollama.com), then pull the model by its tag, checked on ollama.com on 2026-10-24:

ollama run nemotron-3.5-bolt:e4b

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: Ollama page → · model card →

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 E4B on other Apple Silicon chips

ChipSpeedQuantEngineBandwidth
M5 Maxestimated161 tok/sQ4_K_Mllama.cpp614 GB/s
M3 Maxestimated114 tok/sQ4_K_M—400 GB/s
M4estimated39 tok/sQ4_K_M—120 GB/s

About Nemotron 3.5 Bolt E4B

NVIDIA's OpenMDW-licensed edge model (23 Oct 2026), RL post-trained from Gemma 4 E4B for multi-turn tool use and instruction following: 8B weights, 4B effective, 64K context per NVIDIA. '4GB' is NVIDIA's VRAM target; the official Q4_K_M file is 6.18 GB, and 3–4-bit builds of ~4.2 GB fit an 8 GB Mac. Ollama runs it on Apple Silicon as nemotron-3.5-bolt:e4b (the untagged name is the 74B model). A community MLX run measured 55 tok/s at 6-bit on a 36 GB M3 Max (the 4-bit build reached 73, but its quantizer reports only 71.7% top-1 agreement with BF16), and a community oMLX run measured 46 at 8-bit on an M5 Pro.

OpenMDW licence · 4B · 64K context · LLMCheck capability 17/50 · see its leaderboard rank →

System requirements

Macs with the M5 Pro

🛒 Get a Mac that runs Nemotron 3.5 Bolt E4B

Nemotron 3.5 Bolt E4B needs about 6 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:

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