DeepSeek-Coder-V2-Lite-Instruct
6 workload results across 2 hardware configurations.
Fastest community-submitted config (not measured by llm-speed)
309.5 decode tok/s
on RTX 5090 (32GB) via llama.cpp. see full run
Signed runs (6 workload results)
All 3 runs are community-submitted (signed on the submitter's own machine, not measured by llm-speed, and not used for llm-speed verdicts).
RTX 5090 (32GB)
| Workload | Backend | Quant | decode tok/s | prefill tok/s | TTFT | Run | Source |
|---|---|---|---|---|---|---|---|
| chat-short | llama.cpp | - | 293.1tok/s | no data | 297ms | r_bfpto9so2o1 | Community-submitted |
| chat-long | llama.cpp | - | 181.2tok/s | no data | 361ms | r_bfpto9so2o1 | Community-submitted |
| concurrent-decode | llama.cpp | - | 268.4tok/s | no data | no data | r_bfpto9so2o1 | Community-submitted |
| agent-trace | llama.cpp | - | 204.5tok/s | 24,978.7tok/s | 80.7ms | r_bfpto9so2o1 | Community-submitted |
| chat-short | llama.cpp | - | 309.5tok/s | no data | 268ms | r_0_gs1rgl2fl | Community-submitted |
M3 Ultra (60-core GPU) + 96GB unified
| Workload | Backend | Quant | decode tok/s | prefill tok/s | TTFT | Run | Source |
|---|---|---|---|---|---|---|---|
| chat-short | mlx@0.31.3 | 4BIT | 168.3tok/s | 291.5tok/s | 449ms | r_l_v1-zq_qaz | Community-submitted |
Can DeepSeek-Coder-V2-Lite-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.
DeepSeek-Coder-V2-Lite-Instruct on hardware
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