[GH-ISSUE #5234] Obsidian Unresponsive after 3 hours of successful training/Embedding when PHI3 is set to the embedding model #29035

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opened 2026-04-22 07:38:47 -05:00 by GiteaMirror · 3 comments
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Originally created by @Hunanbean-Collective on GitHub (Jun 23, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/5234

Note: Other embedders in this software are working. this is a phi3 Embedding issue, specifically. not a phi3 Chat model issue

What is the issue?

Obsidian Unresponsive after 3 hours of successful training/Embedding.

it is just unresponsive after completing the embedding. there is not CPU or GPU activity. Obsidian just does not respond. I will attempt to force close it, against my better judgement.

OS

Windows

GPU

Nvidia

CPU

Intel

Ollama version

0.1.45

Originally created by @Hunanbean-Collective on GitHub (Jun 23, 2024). Original GitHub issue: https://github.com/ollama/ollama/issues/5234 Note: Other embedders in this software are working. this is a phi3 Embedding issue, specifically. not a phi3 Chat model issue ### What is the issue? Obsidian Unresponsive after 3 hours of successful training/Embedding. it is just unresponsive after completing the embedding. there is not CPU or GPU activity. Obsidian just does not respond. I will attempt to force close it, against my better judgement. ### OS Windows ### GPU Nvidia ### CPU Intel ### Ollama version 0.1.45
GiteaMirror added the bug label 2026-04-22 07:38:47 -05:00
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@Hunanbean-Collective commented on GitHub (Jun 23, 2024):

After force closing the unresponsive Obsidian, then restarting it, it just started the embedding again, saying it will take another 3 hours. i am very disappointed. my GPU ran at 100% for over three hours, just for it to not bother saving the data.

<!-- gh-comment-id:2184407924 --> @Hunanbean-Collective commented on GitHub (Jun 23, 2024): After force closing the unresponsive Obsidian, then restarting it, it just started the embedding again, saying it will take another 3 hours. i am very disappointed. my GPU ran at 100% for over three hours, just for it to not bother saving the data.
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@Hunanbean-Collective commented on GitHub (Jun 23, 2024):

I ran it again over night, and let it sit unresponsive for 6 hours, after the 3 hours training. It did not change anything., meaning, still unresponsive. i case it means anything, the vector size on Disk has always stayed 0.
image

When running small test embeddings earlier, i noticed that the size on disk always remained 0, but Size would change. i assume this is a problem, and not expected behavior.

This is a 16 Thread i9 processor, with 64GB Ram and a 12GB VRAM Nvidia 3060. with both NVME and SSDs. this repo is on a 256GB SSD ~93% free space available. Swap file is available for system use. I am using phi3:medium as Chat Model, and phi3:medium as Embedding model, as it is what worked in smaller tests on my machine.

<!-- gh-comment-id:2184974564 --> @Hunanbean-Collective commented on GitHub (Jun 23, 2024): I ran it again over night, and let it sit unresponsive for 6 hours, after the 3 hours training. It did not change anything., meaning, still unresponsive. i case it means anything, the vector size on Disk has always stayed 0. ![image](https://github.com/ollama/ollama/assets/71809825/3b43da2c-a5f9-4e0e-8874-08dd1919588f) When running small test embeddings earlier, i noticed that the size on disk always remained 0, but Size would change. i assume this is a problem, and not expected behavior. This is a 16 Thread i9 processor, with 64GB Ram and a 12GB VRAM Nvidia 3060. with both NVME and SSDs. this repo is on a 256GB SSD ~93% free space available. Swap file is available for system use. I am using phi3:medium as Chat Model, and phi3:medium as Embedding model, as it is what worked in smaller tests on my machine.
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@Hunanbean-Collective commented on GitHub (Jun 23, 2024):

Some part of what is occurring seems to be that phi3, as an embedding model, does not write to the HDD. using nomic-embed-text, or mxbai-embed-large, or even llama3, Does write to the hdd, in the vectorstores folder. So, although i am getting valid responses, and apparent digestive/embedding of information when using phi3 as both chat model and embedding model, it does not preserve the embedding. and as mentioned, locks Obsidian when there are large amount of data expected to be embedded. i prefer the quality and substance of the phi chat model, and the phi embed model (or at least how it Appears to be working with moderate amounts of data), so i would like this to work. as i have mentioned, i am not finding a cohesive manual, or explanation of why any installed chat model is also available as an embedding model, but, does not function. some insight would be appreciated

<!-- gh-comment-id:2185021945 --> @Hunanbean-Collective commented on GitHub (Jun 23, 2024): Some part of what is occurring seems to be that phi3, as an embedding model, does not write to the HDD. using nomic-embed-text, or mxbai-embed-large, or even llama3, Does write to the hdd, in the vectorstores folder. So, although i am getting valid responses, and apparent digestive/embedding of information when using phi3 as both chat model and embedding model, it does not preserve the embedding. and as mentioned, locks Obsidian when there are large amount of data expected to be embedded. i prefer the quality and substance of the phi chat model, and the phi embed model (or at least how it Appears to be working with moderate amounts of data), so i would like this to work. as i have mentioned, i am not finding a cohesive manual, or explanation of why any installed chat model is also available as an embedding model, but, does not function. some insight would be appreciated
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Reference: github-starred/ollama#29035