cross-posted from: https://lemmy.world/post/28493612

Open WebUI lets you download and run large language models (LLMs) on your device using Ollama.

Install Ollama

See this guide: https://lemmy.world/post/27013201

Install Docker (recommended Open WebUI installation method)

1. Open Console, type the following command and press return. This may ask for your password but not show you typing it.

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sudo pacman -S docker


  

2. Enable the Docker service [on-device and runs in the background] to start with your device and start it now.

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sudo systemctl enable --now docker


  

3. Allow your current user to use Docker.

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sudo usermod -aG docker $(whoami)


  

4. Log out and log in again, for the previous command to take effect.

Install Open WebUI on Docker

1. Check whether your device has an NVIDIA GPU.
2. Use only one of the following commands.

Your device has an NVIDIA GPU:

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docke
  

cross-posted from: https://lemmy.world/post/28313324

Removed

cross-posted from: https://lemmy.world/post/27088416

This is an update to a previous post found at https://lemmy.world/post/27013201

---

Ollama uses the AMD ROCm library which works well with many AMD GPUs not listed as compatible by forcing an LLVM target.

The original Ollama documentation is wrong as the following can not be set for individual GPUs, only all or none, as shown at github.com/ollama/ollama/issues/8473

AMD GPU issue fix

1. Check your GPU is not already listed as compatibility at github.com/ollama/ollama/blob/main/docs/gpu.md#linux-support
2. Edit the Ollama service file. This uses the text editor set in the $SYSTEMD_EDITOR environment variable.

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sudo systemctl edit ollama.service


  

3. Add the following, save and exit. You can try different versions as shown at github.com/ollama/ollama/blob/main/docs/gpu.md#overrides-on-linux

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[Service]
Environment="HSA_OVERRIDE_GFX_VERSION=10.3.0"


  

4. Restart the Olla

cross-posted from: https://lemmy.world/post/27088416

This is an update to a previous post found at https://lemmy.world/post/27013201

---

Ollama uses the AMD ROCm library which works well with many AMD GPUs not listed as compatible by forcing an LLVM target.

The original Ollama documentation is wrong as the following can not be set for individual GPUs, only all or none, as shown at github.com/ollama/ollama/issues/8473

AMD GPU issue fix

1. Check your GPU is not already listed as compatibility at github.com/ollama/ollama/blob/main/docs/gpu.md#linux-support
2. Edit the Ollama service file. This uses the text editor set in the $SYSTEMD_EDITOR environment variable.

 undefined

    
sudo systemctl edit ollama.service


  

3. Add the following, save and exit. You can try different versions as shown at github.com/ollama/ollama/blob/main/docs/gpu.md#overrides-on-linux

 undefined

    
[Service]
Environment="HSA_OVERRIDE_GFX_VERSION=10.3.0"


  

4. Restart the Olla

cross-posted from: https://lemmy.world/post/27013201

Ollama lets you download and run large language models (LLMs) on your device.

Install Ollama on Arch Linux

1. Check whether your device has an AMD GPU, NVIDIA GPU, or no GPU. A GPU is recommended but not required.
2. Open Console, type only one of the following commands and press return. This may ask for your password but not show you typing it.

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sudo pacman -S ollama-rocm    # for AMD GPU
sudo pacman -S ollama-cuda    # for NVIDIA GPU
sudo pacman -S ollama         # for no GPU (for CPU)
 

  

3. Enable the Ollama service [on-device and runs in the background] to start with your device and start it now.

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sudo systemctl enable --now ollama

  

Test Ollama alone

1. Open localhost:11434 in a web browser and you should see Ollama is running. This shows Ollama is installed and its service is running.
2. Run ollama run deepseek-r1 in a console and `olla

cross-posted from: https://lemmy.world/post/27013201

Ollama lets you download and run large language models (LLMs) on your device.

Install Ollama on Arch Linux

1. Check whether your device has an AMD GPU, NVIDIA GPU, or no GPU. A GPU is recommended but not required.
2. Open Console, type only one of the following commands and press return. This may ask for your password but not show you typing it.

 undefined

    
sudo pacman -S ollama-rocm    # for AMD GPU
sudo pacman -S ollama-cuda    # for NVIDIA GPU
sudo pacman -S ollama         # for no GPU (for CPU)
 

  

3. Enable the Ollama service [on-device and runs in the background] to start with your device and start it now.

 undefined

    
sudo systemctl enable --now ollama

  

Test Ollama alone

1. Open localhost:11434 in a web browser and you should see Ollama is running. This shows Ollama is installed and its service is running.
2. Run ollama run deepseek-r1 in a console and `olla

cross-posted from: https://lemmy.world/post/27009486

[email protected] community and @[email protected] moderator appear inactive.

watomatic.app

Example

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🤖 Automated Reply

💬 I reply faster on example.org

⁉️ WhatsApp is anti-libre software. We do NOT control it. It withholds a libre software license text file, like GPL.

  

Explained

I reply faster on

Deleting the only way to reach someone online breaks your influence.

example.org

A link and only one link, so (1) they see it's an app, not some random word or typo, (2) they can download it without searching, and (3) they don't have multiple choice–they don't need to do any thinking or research. Remove everything stopping them.

anti-libre software.

Never say privacy, they've heard it all before (from you, no doubt). Say something different.

We do NOT control it.

Make it simple and direct. Think of the most removed person you know and break it down in a way they would understand. Think about every angle it could be misunderstood.

It withholds

Libre software is normal, default. Anti-libre software is cringe, weird, dangerous. Act

For example, on WhatsApp, use the whole 25 character limit for profile name. Examples:

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Bob Moved To Signal.org

Alice MovedTo Signal.org

CharlieMovedTo Signal.org

  

Say Signal.org, not Signal, because they won't know it's an app.

Use your about section too. Same on Discord, Steam, Instagram, etc.

Automatic calendar synchronisation with no server and no cloud?

Not just locally on the device! There must be an error when calling or texting the number.

Data must work for internet for Signal, VoIP, etc.

This is for a UK PAYG SIM.

There should be no way for anyone to demand my number, or for me to leak it, or doing so should be irrelevant as it does not work.

Need at least the camera, if not that plus a microphone and speakers, not the lock or bell.

Libre Software (Obviously) + End-to-End Encryption

Small and easy to hide, so the camera isn't stolen, attacked or bypassed.

Best answer yet

UK Banks: HSBC, Lloyds, Starling, Monzo, etc.

Update I have come to a decision. Thank you to all who contributed suggestions. Please feel free to keep the discussion going to help others.