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[GH-ISSUE #4484] Gemma:latest aborted (core dumped) #28562

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opened 2026-04-22 06:49:51 -05:00 by GiteaMirror · 1 comment
GiteaMirror commented 2026-04-22 06:49:51 -05:00
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Originally created by @ManuLinares on GitHub (May 17, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/4484

Originally assigned to: @dhiltgen on GitHub.

What is the issue?

Ollama server logs: https://pastebin.com/DyqQwwFf

ollama run gemma:latest #output
Error: llama runner process has terminated: signal: aborted (core dumped) error:failed to create context with model '/home/mb/.ollama/models/blobs/sha256-ef311de6af9db043d51ca4b1e766c28e0a1ac41d60420fed5e001dc470c64b77'

Worked on the previous, 0.1.36

System Archlinux
linux 6.8.9.arch1-2
ollama-cuda 0.1.38-1
cuda 12.4.1-4
nvidia-dkms 550.78-1

OS

Linux

GPU

Nvidia

CPU

Intel

Ollama version

0.1.38

Originally created by @ManuLinares on GitHub (May 17, 2024). Original GitHub issue: https://github.com/ollama/ollama/issues/4484 Originally assigned to: @dhiltgen on GitHub. ### What is the issue? Ollama server logs: https://pastebin.com/DyqQwwFf ollama run gemma:latest #output `Error: llama runner process has terminated: signal: aborted (core dumped) error:failed to create context with model '/home/mb/.ollama/models/blobs/sha256-ef311de6af9db043d51ca4b1e766c28e0a1ac41d60420fed5e001dc470c64b77' ` Worked on the previous, 0.1.36 System Archlinux linux 6.8.9.arch1-2 ollama-cuda 0.1.38-1 cuda 12.4.1-4 nvidia-dkms 550.78-1 ### OS Linux ### GPU Nvidia ### CPU Intel ### Ollama version 0.1.38
GiteaMirror added the memorybug labels 2026-04-22 06:49:51 -05:00
GiteaMirror commented 2026-04-22 06:49:56 -05:00
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@dhiltgen commented on GitHub (Jul 25, 2024):

This has been fixed since 0.1.38. I was able to repro the crash with an 8k context with 0.1.38 (we attempt to load 24 out of 29 layers) and I've confirmed 0.2.8 loads 21 layers without crashing.

<!-- gh-comment-id:2251309946 --> @dhiltgen commented on GitHub (Jul 25, 2024): This has been fixed since 0.1.38. I was able to repro the crash with an 8k context with 0.1.38 (we attempt to load 24 out of 29 layers) and I've confirmed 0.2.8 loads 21 layers without crashing.
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