Can an RTX 5090 run Qwen2.5-Coder-7B-Instruct?
llm-speed has not measured Qwen2.5-Coder-7B-Instruct on RTX 5090 itself yet, so there is no llm-speed verdict. 2 community-submitted runs exist (fastest 255.3 tok/s at an unreported quant on llama.cpp); community-submitted, not measured by llm-speed, so they give no verdict.
2 signed runs on llm-speed. Single-request decode speed in tokens per second; the short-chat workload unless noted. All 2 runs are community-submitted (signed on the submitter's own machine, not measured by llm-speed, and not used for llm-speed verdicts). Verdicts and headline numbers use only llm-speed's own runs and fit tests.
Measured tok/s by quant and runtime
| Quant | Runtime | Build | Decode tok/s (best run) | Workload | Runs | Source |
|---|---|---|---|---|---|---|
| not reported | llama.cpp | not reported | 255.3 | chat-short | 2 | Community-submitted |
llm-speed has not measured this pair itself, so there is no llm-speed verdict or fastest quant. The rows above are community-submitted, not measured by llm-speed.
VRAM: not recorded for these runs. The VRAM calculator gives an estimate (predicted, not measured).
Every measured row
| Run | Date (UTC) | Workload | Quant | Runtime / build | Prompt tokens | Output tokens | Decode tok/s | Prefill tok/s | TTFT ms | VRAM GiB | Source |
|---|---|---|---|---|---|---|---|---|---|---|---|
| r_2b9o6y_49mi | 2026-07-01 | chat-short | – | llama.cpp · not reported | 0 | 256 | 255.3 | – | 35 | – | Community-submitted |
| r_mln72x5zbis | 2026-07-01 | chat-short | – | llama.cpp · not reported | 0 | 256 | 244.9 | – | 36 | – | Community-submitted |
| r_2b9o6y_49mi | 2026-07-01 | chat-long | – | llama.cpp · not reported | 0 | 489 | 244.0 | – | 228 | – | Community-submitted |
| r_2b9o6y_49mi | 2026-07-01 | agent-trace | – | llama.cpp · not reported | 3362 | 840 | 229.9 | 38735.2 | 57 | – | Community-submitted |
| r_2b9o6y_49mi | 2026-07-01 | concurrent-decode | – | llama.cpp · not reported | 1024 | 256 | 254.0 | – | – | – | Community-submitted |
Questions
Can an RTX 5090 run Qwen2.5-Coder-7B-Instruct?
llm-speed has not measured Qwen2.5-Coder-7B-Instruct on RTX 5090 itself yet, so there is no llm-speed verdict. 2 community-submitted runs exist (fastest 255.3 tok/s at an unreported quant on llama.cpp); community-submitted, not measured by llm-speed, so they give no verdict.
What did community runs measure for Qwen2.5-Coder-7B-Instruct on an RTX 5090?
2 community-submitted runs (community-submitted, not measured by llm-speed): not reported on llama.cpp: 255.3 tok/s. They are listed for reference and give no llm-speed verdict.
Sources and related pages
- Source runs: r_2b9o6y_49mi, r_mln72x5zbis
- Qwen2.5-Coder-7B-Instruct: every measured GPU and Mac
- RTX 5090: every measured model
- VRAM calculator for Qwen2.5-Coder-7B-Instruct on RTX 5090
- RTX 5090 vs RTX 4090
- RTX 5090 vs RTX 3090
- Qwen2.5-Coder-7B-Instruct vs DeepSeek-Coder-V2-Lite-Instruct
- Qwen2.5-Coder-7B-Instruct vs Qwen2.5-7B-Instruct
- How runs are measured · open dataset (CC BY 4.0)