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[GH-ISSUE #6401] embeddings models keep_alive #50532

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opened 2026-04-28 16:13:57 -05:00 by GiteaMirror · 2 comments
GiteaMirror commented 2026-04-28 16:13:57 -05:00
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Originally created by @Abdulrahman392011 on GitHub (Aug 17, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/6401

I use embeddings models a lot and every time it loads the model do the vectoring and then unload it immediately. when I try to keep alive by using this command

$ curl http://localhost:11434/api/generate -d '{"model": "mxbai-embed-large:latest", "keep_alive": -1}'

it tells me that this model isn't a generative model and refuse to keep alive. please have support for it to decrease the latency as it copies the 600 megabytes every time and then delete it which adds a couple of seconds to an operation that should take only a second.

Originally created by @Abdulrahman392011 on GitHub (Aug 17, 2024). Original GitHub issue: https://github.com/ollama/ollama/issues/6401 I use embeddings models a lot and every time it loads the model do the vectoring and then unload it immediately. when I try to keep alive by using this command $ curl http://localhost:11434/api/generate -d '{"model": "mxbai-embed-large:latest", "keep_alive": -1}' it tells me that this model isn't a generative model and refuse to keep alive. please have support for it to decrease the latency as it copies the 600 megabytes every time and then delete it which adds a couple of seconds to an operation that should take only a second.
GiteaMirror added the feature request label 2026-04-28 16:13:57 -05:00
GiteaMirror commented 2026-04-28 16:14:29 -05:00
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@rick-github commented on GitHub (Aug 17, 2024):

You need to load an embedding model via the embedding API endpoint:

$ curl http://localhost:11434/api/embed -d '{"model": "mxbai-embed-large:latest", "keep_alive": -1}'
$ ollama ps
NAME                            ID              SIZE    PROCESSOR       UNTIL   
mxbai-embed-large:latest        468836162de7    1.2 GB  100% GPU        Forever
<!-- gh-comment-id:2295024968 --> @rick-github commented on GitHub (Aug 17, 2024): You need to load an embedding model via the embedding API endpoint: ``` $ curl http://localhost:11434/api/embed -d '{"model": "mxbai-embed-large:latest", "keep_alive": -1}' $ ollama ps NAME ID SIZE PROCESSOR UNTIL mxbai-embed-large:latest 468836162de7 1.2 GB 100% GPU Forever ```
GiteaMirror commented 2026-04-28 16:14:33 -05:00
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@Abdulrahman392011 commented on GitHub (Aug 17, 2024):

thank you. I tried and it works.

<!-- gh-comment-id:2295025552 --> @Abdulrahman392011 commented on GitHub (Aug 17, 2024): thank you. I tried and it works.
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