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llm-speed

qwen2.5-coder on RTX 4090 (48GB) + AMD EPYC 7763 64-Core Processor (128c) + 1008GB

Workload results

WorkloadBackendModeldecode tok/sprefill tok/sTTFTp50p95
chat-shortollama@0.31.1qwen2.5-coderQ4_K_M159.4tok/s452.0tok/s290ms6.3ms6.4ms
chat-longollama@0.31.1qwen2.5-coderQ4_K_M154.7tok/s5,998.7tok/s528ms6.5ms6.5ms
concurrent-decodeollama@0.31.1qwen2.5-coderQ4_K_M161.1tok/s6.2ms6.3ms
agent-traceollama@0.31.1qwen2.5-coderQ4_K_M158.1tok/s6,421.1tok/s320ms6.3ms6.5ms

Reproduce on your machine

Same workload, same model, signed at your rig. The exact command that produced this run:

$ pipx install llm-speed && llm-speed bench --model 'qwen2.5-coder' --workload 'concurrent-decode'

Runs in about a minute. Your number lands on the leaderboard signed and linkable. How it's measured.

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llm-speed: 161 tok/s on RTX 4090 (48GB) (qwen2.5-coder)
[![llm-speed: 161 tok/s on RTX 4090 (48GB) (qwen2.5-coder)](https://llm-speed.com/badge/r_mv8n8k9wu1e.svg)](https://llm-speed.com/r/r_mv8n8k9wu1e)

Related benchmarks

Provenance

Run ID
r_mv8n8k9wu1e
Fingerprint hash
Public key
2vl5fpPOU8Buk4w4jyEBadaEGGNfAwa0ggATnLFNLlM=
Received
2026-07-02 06:45:29