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[GH-ISSUE #3779] How to check memory utilization rate #2335

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opened 2026-04-12 12:39:32 -05:00 by GiteaMirror · 2 comments
GiteaMirror commented 2026-04-12 12:39:32 -05:00
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Originally created by @taozhiyuai on GitHub (Apr 20, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/3779

after loading a model,How to check v-memory utilization rate

Originally created by @taozhiyuai on GitHub (Apr 20, 2024). Original GitHub issue: https://github.com/ollama/ollama/issues/3779 after loading a model,How to check v-memory utilization rate
GiteaMirror added the feature request label 2026-04-12 12:39:32 -05:00
GiteaMirror commented 2026-04-12 12:39:33 -05:00
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@iukea1 commented on GitHub (Apr 21, 2024):

after loading a model,How to check v-memory utilization rate

If you're looking to monitor the virtual memory (v-memory) utilization rate after loading a model in Olloma, the method will vary depending on your operating system.

For Linux:

  • You can use the free command to check RAM and swap space usage, which will give you an overview of the memory usage.
  • The vmstat command is also useful for reporting virtual memory statistics.
  • Additionally, you can look at the /proc/meminfo file for detailed real-time memory usage information.

For macOS:

  • Olloma is optimized for VRAM usage, which should reduce memory errors and improve GPU utilization.
  • The Activity Monitor is a great tool to view detailed system memory usage, including various types of memory like physical and app memory.

For Windows:

  • Olloma provides a CLI and an OpenAI compatible API for model operations, which can be monitored using tools like OpenWebUI.
  • The Task Manager in Windows allows you to check the "Memory" section under the "Processes" tab for an overall view of memory usage.

.

<!-- gh-comment-id:2067864834 --> @iukea1 commented on GitHub (Apr 21, 2024): > after loading a model,How to check v-memory utilization rate If you're looking to monitor the virtual memory (v-memory) utilization rate after loading a model in Olloma, the method will vary depending on your operating system. For **Linux**: - You can use the `free` command to check RAM and swap space usage, which will give you an overview of the memory usage. - The `vmstat` command is also useful for reporting virtual memory statistics. - Additionally, you can look at the `/proc/meminfo` file for detailed real-time memory usage information. For **macOS**: - Olloma is optimized for VRAM usage, which should reduce memory errors and improve GPU utilization. - The Activity Monitor is a great tool to view detailed system memory usage, including various types of memory like physical and app memory. For **Windows**: - Olloma provides a CLI and an OpenAI compatible API for model operations, which can be monitored using tools like OpenWebUI. - The Task Manager in Windows allows you to check the "Memory" section under the "Processes" tab for an overall view of memory usage. .
GiteaMirror commented 2026-04-12 12:39:34 -05:00
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@dhiltgen commented on GitHub (May 2, 2024):

If by "v" you are referring to VRAM (GPU memory) you'll need to use tools specific to your GPU. nvidia-smi is one such example.

If you look in the server log, we do report some information about memory consumption, but it does not report current stats, only at load time.

<!-- gh-comment-id:2089329325 --> @dhiltgen commented on GitHub (May 2, 2024): If by "v" you are referring to VRAM (GPU memory) you'll need to use tools specific to your GPU. `nvidia-smi` is one such example. If you look in the server log, we do report some information about memory consumption, but it does not report current stats, only at load time.
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