[GH-ISSUE #5484] Unnecessary use of GPUs when I run "ollama pull" #49941

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opened 2026-04-28 13:30:19 -05:00 by GiteaMirror · 1 comment
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Originally created by @eliranwong on GitHub (Jul 4, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/5484

What is the issue?

When I run "ollama pull" to just download modules, e.g.

ollama pull deepseek-v2:16b

Both of my GPUs are fully 100% used, which is unnecessary for download task ONLY.

========================================== ROCm System Management Interface ==========================================
==================================================== Concise Info ====================================================
Device  Node  IDs              Temp    Power   Partitions          SCLK     MCLK   Fan     Perf  PwrCap  VRAM%  GPU%  
              (DID,     GUID)  (Edge)  (Avg)   (Mem, Compute, ID)                                                     
======================================================================================================================
0       2     0x744c,   45048  66.0°C  138.0W  N/A, N/A, 0         3138Mhz  96Mhz  22.75%  auto  327.0W  29%    100%  
1       1     0x744c,   12575  58.0°C  136.0W  N/A, N/A, 0         3052Mhz  96Mhz  14.9%   auto  327.0W  29%    100%  
======================================================================================================================
================================================ End of ROCm SMI Log =================================================

Remarks: I run ROCm 6.1.3 for my dual AMD RX 7900 XTX

OS

Linux

GPU

AMD

CPU

AMD

Ollama version

0.1.47

Originally created by @eliranwong on GitHub (Jul 4, 2024). Original GitHub issue: https://github.com/ollama/ollama/issues/5484 ### What is the issue? When I run "ollama pull" to just download modules, e.g. > ollama pull deepseek-v2:16b Both of my GPUs are fully 100% used, which is unnecessary for download task ONLY. ``` ========================================== ROCm System Management Interface ========================================== ==================================================== Concise Info ==================================================== Device Node IDs Temp Power Partitions SCLK MCLK Fan Perf PwrCap VRAM% GPU% (DID, GUID) (Edge) (Avg) (Mem, Compute, ID) ====================================================================================================================== 0 2 0x744c, 45048 66.0°C 138.0W N/A, N/A, 0 3138Mhz 96Mhz 22.75% auto 327.0W 29% 100% 1 1 0x744c, 12575 58.0°C 136.0W N/A, N/A, 0 3052Mhz 96Mhz 14.9% auto 327.0W 29% 100% ====================================================================================================================== ================================================ End of ROCm SMI Log ================================================= ``` Remarks: I run ROCm 6.1.3 for my dual AMD RX 7900 XTX ### OS Linux ### GPU AMD ### CPU AMD ### Ollama version 0.1.47
GiteaMirror added the bug label 2026-04-28 13:30:19 -05:00
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@eliranwong commented on GitHub (Jul 4, 2024):

sorry, I reboot and run ollama pull qwen2:72b and it seems fine. I guessed I had some other tasks running on the background that I was not aware of. I am closing this issue now.

<!-- gh-comment-id:2208885395 --> @eliranwong commented on GitHub (Jul 4, 2024): sorry, I reboot and run `ollama pull qwen2:72b` and it seems fine. I guessed I had some other tasks running on the background that I was not aware of. I am closing this issue now.
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Reference: github-starred/ollama#49941