Nanbeige4.3 33B Q4_K_M
on Mac, M4 Pro, 48 GB

Fits with about 15 GB to spare. Finished 2 of 15 runs inside a 600 token limit.

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Run history

Every run

Date	Speed	Memory
30 October 2026	9.7 t/s	33.1 GB

Change over time

How each figure moved, from the earliest run in each period to the latest.

The table fills once a second run is recorded.

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Against the maker's claim

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How we measured

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curl -fsSL https://onticpost.com/run.sh | sh -s -- \ --model MODEL --runs 6

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About Nanbeige4.3 33B Q4_K_M

What is Nanbeige4.3 33B?

Nanbeige4.3 33B is a 33 billion parameter model from Nanbeige, described on its card as the flagship teacher model of the Nanbeige4.3 series and aimed at coding and office agent tasks, released under the Apache 2.0 licence. This entry measures the Q4_K_M build from AtomicChat, a 21.16 GB file, in LM Studio on a Mac with an M4 Pro chip and 48 GB of memory.

What was measured

Fifteen runs across five tasks in LM Studio, llama.cpp Metal runtime 2.47.0, context 65,536 tokens, 600 tokens allowed per run, on macOS 27.0.1. Writing speed is the middle run. Memory is the larger of the readings taken before and after the runs. 2 of the 15 runs finished inside the allowance. In 11 the whole allowance went on thinking and no answer was written. In 2 the limit cut the answer off part way.

Other figures

Measure	Result
Slowest and fastest run	9.66 and 10.63 tokens a second
Wait for the first token, short prompt	0.89 seconds
Wait for the first token, 3,826 token prompt	51.6 seconds
Runs that finished inside 600 tokens	2 of 15
Runs with no answer inside 600 tokens	11 of 15
Model file on disk	21.16 GB

Measured with the same script as every other entry on this machine.

Sources

Nanbeige's Nanbeige4.3 33B model card

Cite this page

Hill. "Nanbeige4.3 33B Q4_K_M". Onticpost, published 3 November 2026, updated 31 October 2026. https://onticpost.com/index/nanbeige-4-3-33b-m4-pro-48gb/

Updated 31 October 2026. This address stays the same when the piece is updated.

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