Skip to content
llm-speed
Leaderboard/models/qwen2-5-0-5b-instruct

Qwen2.5-0.5B-Instruct

2 workload results across 1 hardware configuration.

Fastest community-submitted config (not measured by llm-speed)

286.5 decode tok/s

on M3 Pro (18-core GPU) + 36GB unified via mlx (4bit). see full run

Signed runs (2 workload results)

All 2 runs are community-submitted (signed on the submitter's own machine, not measured by llm-speed, and not used for llm-speed verdicts).

M3 Pro (18-core GPU) + 36GB unifiedM3 Pro (18-core GPU) + 36GB unified

WorkloadBackendQuantdecode tok/sprefill tok/sTTFTRunSource
chat-shortmlx@0.31.34BIT286.5tok/s656.2tok/s200msr_akcbpx5vcqaCommunity-submitted
chat-shortmlx@0.31.34BIT282.6tok/s668.8tok/s196msr_bftqtkilvoeCommunity-submitted

Can Qwen2.5-0.5B-Instruct run on your hardware?

Fastest decode speed on each GPU or Mac, from llm-speed's own runs and community-submitted runs. Each page lists every quant and runtime and labels which runs llm-speed measured.

Qwen2.5-0.5B-Instruct on hardware

Request a Qwen2.5-0.5B-Instruct run

No measured run yet for these pairs. Vote for the one you want; the most-requested runs go first. See all requests.

0 votes

We never sell or share your email. Privacy

llm-speed can measure this card · Submit your own

Check it for your setup

  • Predict your exact setup: estimate whether Qwen2.5-0.5B-Instruct fits your GPU or Mac at your quant and context, next to measured speeds where we have them.
  • Request this pair: ask for a measured Qwen2.5-0.5B-Instruct run on hardware we have not measured. Requests are ranked by votes.
  • Full run table (2 runs): every Qwen2.5-0.5B-Instruct result we have, with links to each source run.