Data and index / Language models

Qwen 3.8 27B Q4_K_M
on Mac, M4 Pro, 48 GB

Fits with about 25 GB to spare. Thinks through a 600 token limit in 9 runs of 15.

Articles on Qwen 3.8 27B Q4_K_M

Run history

Every run
DateSpeedMemory
4 October 202610.1 t/s23.3 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

Alibaba publishes no speed or memory figure for this build, so there is nothing to set our figures against.

How we measured

The set up for this entry has not been written down yet.

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

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About Qwen 3.8 27B Q4_K_M

What is Qwen 3.8 27B?

Qwen 3.8 27B is a 27 billion parameter language model from Qwen, the model family made by Alibaba. This entry measures the Q4_K_M build, a 17.74 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 largest size the model process reached. In 9 of the 15 runs the whole allowance went on thinking and no answer was written.

Other figures

Measure Result
Slowest and fastest run 9.02 and 11.34 tokens a second
Wait for the first token, short prompt 1.21 seconds
Wait for the first token, 3,842 token prompt 39.9 seconds
Runs with no answer inside 600 tokens 9 of 15
Model file on disk 17.74 GB

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

Sources

  1. Qwen's Qwen 3.8 27B model card
Cite this page

Hill. "Qwen 3.8 27B Q4_K_M". Onticpost, published 4 October 2026, updated 5 October 2026. https://onticpost.com/index/qwen-3-8-27b-m4-pro-48gb/

Updated 5 October 2026. This address stays the same when the piece is updated.

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