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Leaderboard/models/llama-3-3-70b-instruct

llama-3.3-70b-Instruct-4bit

9 workload results across 3 hardware configurations.

Fastest local config

19.1 decode tok/s

on 2x RTX 3090 (24GB) + AMD EPYC 7H12 64-Core Processor (128c) + 1008GB via llama.cpp (Q4_K_M). see full run

Local runs (9 workload results)

Runs from contributors' own machines via MLX, llama.cpp, vLLM, exllamav2, or ollama. Signed on the submitter's hardware.

2x RTX 3090 (24GB) + AMD EPYC 7H12 64-Core Processor (128c) + 1008GB2x RTX 3090 (24GB) + AMD EPYC 7H12 64-Core Processor (128c) + 1008GB

WorkloadBackendQuantdecode tok/sprefill tok/sTTFTRun
chat-shortllama.cpp@0.7.0-dev (build 1, commit f74e2fa)Q4_K_M19.14tok/s415.4tok/s325msr_n93ukk0mkmm
chat-longllama.cpp@0.7.0-dev (build 1, commit f74e2fa)Q4_K_M18.69tok/s939.3tok/s3,366msr_n93ukk0mkmm
concurrent-decodellama.cpp@0.7.0-dev (build 1, commit f74e2fa)Q4_K_M19.00tok/sno datano datar_n93ukk0mkmm
agent-tracellama.cpp@0.7.0-dev (build 1, commit f74e2fa)Q4_K_M18.85tok/s2,028.8tok/s1,037msr_n93ukk0mkmm

A40 (45GB) + Intel(R) Xeon(R) Gold 6342 CPU @ 2.80GHz (48c) + 504GBA40 (45GB) + Intel(R) Xeon(R) Gold 6342 CPU @ 2.80GHz (48c) + 504GB

WorkloadBackendQuantdecode tok/sprefill tok/sTTFTRun
chat-shortllama.cpp@0.7.0-dev (build 1, commit ceefd16)Q4_K_M12.99tok/s401.0tok/s337msr_19f64yux97o
chat-longllama.cpp@0.7.0-dev (build 1, commit ceefd16)Q4_K_M12.67tok/s551.4tok/s5,735msr_19f64yux97o
concurrent-decodellama.cpp@0.7.0-dev (build 1, commit ceefd16)Q4_K_M12.85tok/sno datano datar_19f64yux97o
agent-tracellama.cpp@0.7.0-dev (build 1, commit ceefd16)Q4_K_M12.72tok/s1,574.5tok/s1,344msr_19f64yux97o

M3 Ultra (60-core GPU) + 96GB unifiedM3 Ultra (60-core GPU) + 96GB unified

WorkloadBackendQuantdecode tok/sprefill tok/sTTFTRun
chat-shortmlx@0.31.3-16.78tok/s25.09tok/s5,420msr_sx3a4y9n-m4

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