Qwen2.5-Coder-14B-Instruct on RTX 3090 (24GB) + AMD EPYC 7282 16-Core Processor (16c) + 126GB
MeasuredOn 2026-10-17, Qwen2.5-Coder-14B-Instruct Q4_K_M ran at 78.2 tok/s (chat-short) on an RTX 3090 (24GB) with llama.cpp. Run r_rkyf9wxzw9z.
RTX 3090 (24GB) + AMD EPYC 7282 16-Core Processor (16c) + 126GB
suite suite-v1
cli 0.0.7
signedB6wEQyDB0x…
Embed badgesubmitted Oct 17, 2026Workload results
| Workload | Backend | Model | decode tok/s | prefill tok/s | TTFT | p50 | p95 |
|---|---|---|---|---|---|---|---|
| chat-short | llama.cpp@0.7.0-dev (build 1, commit ea0c4c2) | Qwen2.5-Coder-14B-InstructQ4_K_M | 78.21tok/s | 1,693.2tok/s | 77.4ms | 12.7ms | 12.8ms |
| chat-long | llama.cpp@0.7.0-dev (build 1, commit ea0c4c2) | Qwen2.5-Coder-14B-InstructQ4_K_M | 74.31tok/s | 2,549.2tok/s | 1,243ms | 13.4ms | 13.5ms |
| concurrent-decode | llama.cpp@0.7.0-dev (build 1, commit ea0c4c2) | Qwen2.5-Coder-14B-InstructQ4_K_M | 77.11tok/s | — | — | 12.9ms | 13.0ms |
| agent-trace | llama.cpp@0.7.0-dev (build 1, commit ea0c4c2) | Qwen2.5-Coder-14B-InstructQ4_K_M | 75.86tok/s | 7,427.0tok/s | 273ms | 13.1ms | 13.4ms |
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https://llm-speed.com/r/r_rkyf9wxzw9zRelated benchmarks
- More Qwen2.5-Coder-14B-Instruct benchmarks — every backend and rig that has run this model.
- More RTX 3090 (24GB) LLM benchmarks — every model measured on this hardware.
Provenance
- Run ID
- r_rkyf9wxzw9z
- Fingerprint hash
- Public key
- B6wEQyDB0x+fdAWyzA5BJ9RRHcW0rZU625tB7IVKCDc=
- Received
- 2026-10-17 02:32:55