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qwen-2-5-7b-instruct Apple Silicon benchmark and best Macs

Start with the ranked Mac table above, then audit tokens per second, RAM fit, quantization, runtimes, and source links before trusting the model on your Mac.

Quantizations observed: Q8_0

1Benchmark rows
1Chip tiers covered
49.7Fastest avg tok/s (M4 Max (128 GB))
Minimum RAM observed

Fastest published result is 49.7 tok/s on M4 Max (128 GB) at Q8_0. Longest published context on this page is 10k. Published runtimes include LM Studio. Start with Rankings for the decision, then use the raw rows below to audit the evidence.

Based on 1 external benchmark; no lab runs yet.

Published runtimes: LM Studio.

These are ranked by the fastest published qwen-2-5-7b-instruct result available for each Mac's chip family. Use them as the search answer, then open the machine page before buying.

How fast is qwen-2-5-7b-instruct on Mac?

qwen-2-5-7b-instruct currently has a fastest published Mac result of 49.7 tok/s on M4 Max (128 GB) at Q8_0. Check the raw rows on this page before comparing that number to a different runtime, quantization, or context length.

What is the best Mac for qwen-2-5-7b-instruct?

MacBook Pro M4 Max 36GB 14-inch is the fastest published Mac-family answer for qwen-2-5-7b-instruct on this page right now, at 49.7 tok/s from its chip family. Treat that as a published benchmark starting point, not a universal buying recommendation.

Does qwen-2-5-7b-instruct fit on Apple Silicon?

qwen-2-5-7b-instruct does not yet have a published minimum-RAM fit row on this page. Use Fit before assuming it will run cleanly on a specific Mac.

Published chip coverage includes M4 Max (128 GB). Fastest published row is 49.7 tok/s on M4 Max (128 GB) at Q8_0. Catalog context window is 10k.

Raw benchmark rows for qwen-2-5-7b-instruct

Rows stay below the ranking because this page is answer-first. Use them to inspect exact chips, quantizations, runtimes, and sources.

ChipQuantRAM req.ContextAvg tok/sPrompt tok/sRuntimeSource
M4 Max (128 GB)Q8_010k49.7 tok/sLM Studioref

benchmarks.json — full dataset  ·  models.json — model summaries  ·  benchmarks.csv — CSV export

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