ollama - 💡(How to fix) Fix suggest release pure cpu version binaries [1 comments, 1 participants]

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ollama/ollama#14664Fetched 2026-04-08 00:33:08
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for those who haven't a gpu card and want to use ollama on light equipments such as mobile phones.

i run it sucessfully without two big cuda directories on an arm linux laptop and an android phone.

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Fix Plan

To run Ollama on devices without a GPU, we need to disable CUDA dependencies.

Steps

  • Remove or comment out CUDA-related code and dependencies.
  • Use CPU-based alternatives for computations.

Example Code

# Before
import cupy as cp

# After
import numpy as np

# Replace cupy arrays with numpy arrays
# data = cp.array([...])
data = np.array([...])
  • Update configuration files to exclude CUDA directories.
# Before
export PATH=$PATH:/usr/local/cuda/bin

# After
# export PATH=$PATH:/usr/local/cuda/bin (comment out or remove)

Verification

Run Ollama on the target device and verify that it executes without CUDA-related errors.

Extra Tips

  • Ensure that all dependencies are updated to support CPU-based computations.
  • Test Ollama on different devices to ensure compatibility.

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