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Leaderboard/models/3-1-8b-instruct

3.1-8B-Instruct

1 workload result across 1 hardware configuration.

Fastest config measured by llm-speed (@llmspeed)

160.8 decode tok/s

on RTX 4090 (24GB) via llama.cpp (Q4_K_M). see full run

Measured runs (1 workload result)

This run was measured by llm-speed (@llmspeed).

RTX 4090 (24GB)RTX 4090 (24GB)measured by llm-speed

WorkloadBackendQuantdecode tok/sprefill tok/sTTFTRunSource
chat-shortllama.cpp@0.7.0-dev (build 11803, commit a37cc4610)Q4_K_M160.8tok/s4,283.1tok/s31.5msr_32ipo1hbbwlMeasured by llm-speed@llmspeed

Can 3.1-8B-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.

3.1-8B-Instruct on hardware

Check it for your setup

  • Predict your exact setup: estimate whether 3.1-8B-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 3.1-8B-Instruct run on hardware we have not measured. Requests are ranked by votes.
  • Full run table (1 run): every 3.1-8B-Instruct result we have, with links to each source run.