Yes — the latest versions of entity["software", "Windows Task Scheduler", 0] on entity["software", "Windows 11", 0] (and earlier Windows versions) provide functionality equivalent to Linux’s entity["software", "cron", 0] job scheduler. citeturn0search6turn0search4

Here’s a breakdown of how they compare and what you should know:

---

✅ What Windows Task Scheduler offers

• It lets you schedule tasks (launch programs, scripts, etc.) to run at specific times or recurring intervals. citeturn0search4turn0search6turn0search5turn0search9
• You can trigger tasks not only by time, but also by events (e.g., system startup, user logon, idle state) — a bit more flexible than basic cron. citeturn0search9turn0search6
• It has a GUI (Task Scheduler MMC) and also command-line interfaces (e.g., schtasks.exe) for scripting/automation. citeturn0search2turn0search6
• It’s built into Windows (so no additional install is required). citeturn0search9turn0search5

---

⚠️ Key differences (vs cron)

• Syntax: With cron you use crontab lines like 0 5 * * MON etc. Windows Task Scheduler uses a different UI/format; there’s no built-in “crontab file” style by default. citeturn0search3turn0search4
• Advanced scheduling limitations: Some third-party commentary says Task Scheduler is less flexible for certain complex schedules (e.g., “last business day of the month excluding holidays”) compared to enterprise schedulers. citeturn0search3turn0search4
• User convenience: Many Linux users are used to editing text crontab files; on Windows you’ll likely use the GUI or set up via PowerShell/schtasks. For example, you can run:
  schtasks /create /tn MyTask /tr "C:\MyScript.bat" /sc weekly /d MON /st 06:05
  citeturn0search2

---

🔍 Practical tip

If you’re used to cron on Linux and working on Windows, a good workflow is:
1. Open Task Scheduler (taskschd.msc) or use schtasks/PowerShell.
2. Create a task: specify the trigger (time/recurrence) and action (script/program).
3. Make sure the task has the correct user-account context (especially if it needs to run whether user is logged in or not).
4. If you really prefer cron-style syntax you can use third-party tools that bring cron-style scheduling to Windows (though built-in Task Scheduler is usually sufficient).

---

If you like, I can walk you through how to create a recurring task on Windows 11 (with example commands/scripts) — would that be helpful?

Absolutely, Darren — I can help you step-by-step with that. 👍

Let’s confirm what you’re doing:

You’ve got Allama (llama.cpp-based) running fine on Ubuntu, and now you want to:
1. Install (or reinstall) Docker, and
2. Run OpenWebUI (formerly called “Text Generation Web UI,” or its Llama-centric variant) so you can use a browser interface with your local model.

That’s perfectly doable — I’ll guide you through each command, explain what it does, and help you troubleshoot if anything errors out.

To start cleanly, please tell me which of these situations applies:
– 🅰️ Docker was previously installed but removed, and you’re just reinstalling; or
– 🅱️ Docker has never been installed on this Ubuntu build.

Once I know that, I’ll give you the exact command sequence for your case (including post-install verification and enabling Docker Compose, which OpenWebUI uses).

Would you like me to prepare the instructions for fresh install (🅱️) or reinstall/repair (🅰️)?

Perfect — we’ll do a clean, fresh Docker + Docker Compose install on Ubuntu.
I’ll give you the exact commands, in order, and explain what each step does.
This works on Ubuntu 22.04, 24.04, and Noble Numbat, so you’re covered.

---

✅ STEP 1 — Remove any old Docker leftovers (safe even if nothing is installed)

sudo apt-get remove -y docker docker-engine docker.io containerd runc

---

✅ STEP 2 — Install required dependencies

sudo apt-get update
sudo apt-get install -y ca-certificates curl gnupg

---

✅ STEP 3 — Add Docker’s official GPG key

sudo install -m 0755 -d /etc/apt/keyrings
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg
sudo chmod a+r /etc/apt/keyrings/docker.gpg

---

✅ STEP 4 — Add the Docker APT repo

Replace $(. /etc/os-release && echo "$VERSION_CODENAME") with your codename if needed
(e.g., jammy, noble, focal). The command below autodetects it.

echo \
  "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] \
  https://download.docker.com/linux/ubuntu \
  $(. /etc/os-release && echo "$VERSION_CODENAME") stable" \
  | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null

---

✅ STEP 5 — Update again and install Docker Engine + Compose

sudo apt-get update
sudo apt-get install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin

---

✅ STEP 6 — Verify Docker works

sudo docker run hello-world

If it prints a friendly “Hello from Docker!” message → you’re good.

---

✅ STEP 7 — (Optional but recommended) Allow Docker without sudo

sudo groupadd docker
sudo usermod -aG docker $USER

Then logout & log back in, or run:

newgrp docker

---

🎉 At this point Docker is fully installed.

Next step: Install OpenWebUI (Web UI for local LLMs).

If you're ready, I’ll give you the exact Docker Compose file and the one-liner to launch OpenWebUI:

docker run -d \
  --name openwebui \
  -p 3000:8080 \
  -v openwebui:/app/backend/data \
  --restart unless-stopped \
  ghcr.io/open-webui/open-webui:main

This will open the interface at:

👉 http://localhost:3000

---

If you'd like, I can:

• Tailor the command to your preferred port
• Add GPU acceleration
• Map a custom models directory
• Link it directly to your Allama installation

Just say what you want.

Ready for the OpenWebUI part?

Nice, you’re very close — this is just a permissions/session thing, not a Docker failure.

You did this:

sudo groupadd docker
sudo usermod -aG docker $USER
# got: group 'docker' already exists

That’s fine. The important part is usermod -aG docker $USER — but your current shell session still doesn’t know you’re in the docker group yet, so when you run docker run ... you get:

> permission denied while trying to connect to the docker API at unix:///var/run/docker.sock

---

Quick fix right now

Just run the container with sudo once, to confirm Docker itself is working:

sudo docker run -d \
  --name openwebui \
  -p 3000:8080 \
  -v openwebui:/app/backend/data \
  --restart unless-stopped \
  ghcr.io/open-webui/open-webui:main

If that works, OpenWebUI will be at:
👉 http://localhost:3000

---

Proper fix so you don’t need sudo

1. Check that you’re actually in the docker group:

groups

You should see docker in the list. If you don’t:

sudo usermod -aG docker $USER

2. Refresh your group membership in this terminal:

Either log out of your user session and log back in, or run:

newgrp docker

3. Now try the same command without sudo:

docker run -d \
  --name openwebui \
  -p 3000:8080 \
  -v openwebui:/app/backend/data \
  --restart unless-stopped \
  ghcr.io/open-webui/open-webui:main

---

Optional: make sure Docker daemon is running

If you still get errors after the above, check the service:

sudo systemctl status docker

If it’s not active, start & enable it:

sudo systemctl enable --now docker

---

If you paste the output of:

groups
sudo systemctl status docker | head -n 15

I can pinpoint exactly where it’s grumpy, but most likely just running newgrp docker then re-running your docker run will solve it.

Yeah, that “no results found” in the model list is classic “OpenWebUI can’t actually see Ollama” — Docker plus networking, not your sequence.

What’s going on:

• Ollama is running on your host at http://localhost:11434.
• OpenWebUI is running in a Docker container, where localhost means inside the container, not your Ubuntu host.
• So when OpenWebUI asks Ollama for /api/tags, it gets nothing → no models → “no results found”.

Let’s wire them together cleanly.

---

1️⃣ Make sure Ollama is actually running and has models

In a normal terminal (not inside Docker):

ollama list

You should see your models (e.g. llama2, llama3, etc).

Also test the API:

curl http://localhost:11434/api/tags

If you get JSON back, Ollama is good.

---

2️⃣ Stop and remove the current OpenWebUI container

docker stop openwebui
docker rm openwebui

(If it says “No such container”, that’s fine.)

---

3️⃣ Recreate OpenWebUI with proper access to Ollama

On Linux, the easiest and cleanest way is to tell Docker:

• “Create a fake hostname called host.docker.internal”
• “Point it to the actual host machine”
• “Set OpenWebUI’s OLLAMA_BASE_URL to that host”

Run this:

docker run -d \
  --name openwebui \
  -p 3000:8080 \
  -e OLLAMA_BASE_URL=http://host.docker.internal:11434 \
  --add-host=host.docker.internal:host-gateway \
  -v openwebui:/app/backend/data \
  --restart unless-stopped \
  ghcr.io/open-webui/open-webui:main

What this does:

• -p 3000:8080 → you still use http://localhost:3000 in your browser.
• --add-host=host.docker.internal:host-gateway → makes that hostname resolve to your Ubuntu host.
• -e OLLAMA_BASE_URL=... → tells OpenWebUI where to find Ollama.

---

4️⃣ Point OpenWebUI to Ollama in the UI

Once the container is up:

1. Go to: http://localhost:3000
2. Log in (or create the first admin user).
3. Go to Settings → look for Connectors / Providers / Backends (wording depends on version).
4. Make sure Ollama is enabled or selected as a provider.
5. In the model dropdown, select Ollama as the source (if there’s a provider selector) – then the model list should populate from /api/tags.

If all is wired correctly, your models from ollama list should now appear instead of “no results found”.

---

5️⃣ If it still says “no results found”

Quick checks:

• From inside the container, make sure it can see Ollama:

bash
docker exec -it openwebui curl http://host.docker.internal:11434/api/tags

If that returns JSON, networking is good and the issue is just settings in the OpenWebUI UI.

• Double-check OLLAMA_BASE_URL is set for the container:

bash
docker inspect openwebui | grep OLLAMA_BASE_URL -n

---

Run those steps and your Ollama 2 models should show up in OpenWebUI.
If you want next, we can also wire GPU usage or set up multiple “profiles” (different models/temps) inside OpenWebUI.

Gotcha, that error is before OpenWebUI even starts — it’s just Docker saying “you’re not allowed to talk to me.”

> permission denied while trying to connect to the docker API at unix:///var/run/docker.sock

That always boils down to one of these:
– your user isn’t effectively in the docker group in this shell/session, or
– /var/run/docker.sock isn’t owned by the docker group, or
– Docker isn’t running (less likely with this exact message, but we’ll check).

Let’s fix it in two layers: quick workaround now, and proper fix so you don’t fight this again.

---

1️⃣ Quick workaround: run the command with sudo

Just to get OpenWebUI actually running right now, use:

sudo docker run -d \
  --name openwebui \
  -p 3000:8080 \
  -e OLLAMA_BASE_URL=http://host.docker.internal:11434 \
  --add-host=host.docker.internal:host-gateway \
  -v openwebui:/app/backend/data \
  --restart unless-stopped \
  ghcr.io/open-webui/open-webui:main

If that succeeds, you should be able to hit:

> http://localhost:3000

and then we know Docker itself is fine — it’s just a permissions thing for your user.

---

2️⃣ Proper fix: let your user talk to Docker

Run these three checks and fixes in order.

A. Check if you’re actually in the docker group

groups

You should see docker somewhere in the list, e.g.:

darren adm cdrom sudo docker plugdev ...

• If you do NOT see docker:

bash
sudo usermod -aG docker $USER

Then either log out and log back in, or in that same terminal:

bash
newgrp docker

• If you do see docker, go on to B.

---

B. Check the socket permissions

ls -l /var/run/docker.sock

You want something like:

srw-rw---- 1 root docker ... /var/run/docker.sock

Key point: group must be docker, and the perms must have rw for group.

If it shows a different group (like root root or something else), fix it:

sudo chown root:docker /var/run/docker.sock
sudo chmod 660 /var/run/docker.sock

Then in your user shell:

newgrp docker

and test:

docker ps

If that works without sudo, you’re good.

---

C. Sanity check: is the Docker daemon actually running?

Just to be sure:

sudo systemctl status docker

If it’s not active (running), start and enable it:

sudo systemctl enable --now docker

Then test again:

docker ps

---

3️⃣ Once permissions are fixed, re-run OpenWebUI without sudo

If you already started one with sudo and want to redo it cleanly:

sudo docker stop openwebui
sudo docker rm openwebui

Then, as plain darren (no sudo):

docker run -d \
  --name openwebui \
  -p 3000:8080 \
  -e OLLAMA_BASE_URL=http://host.docker.internal:11434 \
  --add-host=host.docker.internal:host-gateway \
  -v openwebui:/app/backend/data \
  --restart unless-stopped \
  ghcr.io/open-webui/open-webui:main

---

If you want, you can paste the output of:

groups
ls -l /var/run/docker.sock

and I’ll tell you exactly which step did (or still needs to do) the fix, but the above sequence should get rid of that permission error.

Perfect — go ahead and close the OpenWebUI window or tab.
Since it’s running as a Docker container, closing the browser does NOT stop the container — it keeps running in the background until you stop it.

Here are the commands you’ll likely want next, depending on what you mean by “close it so I can run it”:

---

✅ 1. Stop the running OpenWebUI container

If you need to rerun it with new settings (like fixing the Ollama connection), stop it first:

sudo docker stop openwebui

Optional but usually needed if you’re recreating it:

sudo docker rm openwebui

---

✅ 2. Start it again (with corrected Ollama connection)

When you're ready to run it again, launch it with:

docker run -d \
  --name openwebui \
  -p 3000:8080 \
  -e OLLAMA_BASE_URL=http://host.docker.internal:11434 \
  --add-host=host.docker.internal:host-gateway \
  -v openwebui:/app/backend/data \
  --restart unless-stopped \
  ghcr.io/open-webui/open-webui:main

(Use sudo docker if your user still doesn’t have Docker permissions fully fixed.)

---

✅ 3. Access it in your browser

Once it’s running:

👉 http://localhost:3000

---

If you mean something else by “close it so I can run it,” tell me:

• Do you want to shut the container down completely?
• Do you want to restart it?
• Do you want to rerun it without sudo?
• Do you want to delete it and start from scratch?

Just say which one and I’ll give you the exact commands.

Yeah, this isn’t Docker being cursed, it’s just classic Linux group semantics biting you. 🙂

Key point: usermod -aG docker $USER does not change the groups of your current shell.
Until you start a new login session, you are not in the docker group – which is why:

groups
# shows: darren adm cdrom sudo dip plugdev users lpadmin

No docker there → you don’t have permission to talk to /var/run/docker.sock.

Let’s fix this in two tracks: (A) get it working right now, and (B) fix the group properly.

---

A. Get OpenWebUI running right now (use sudo)

For immediate progress, just do:

sudo docker run -d \
  --name openwebui \
  -p 3000:8080 \
  -e OLLAMA_BASE_URL=http://host.docker.internal:11434 \
  --add-host=host.docker.internal:host-gateway \
  -v openwebui:/app/backend/data \
  --restart unless-stopped \
  ghcr.io/open-webui/open-webui:main

That should ignore the whole group issue and just work.

Then hit:

> http://localhost:3000

in your browser and you should see OpenWebUI.

---

B. Fix Docker permissions properly (so no more sudo)

1. Add your user to the docker group (explicit username):

sudo usermod -aG docker darren

2. Start a new login session (this is the bit that’s missing):

• Either log out of the desktop session completely and log back in, or
• Reboot the machine once if that’s easier.

3. After logging back in, check:

groups

You should now see:

darren adm cdrom sudo dip plugdev users lpadmin docker
                                          ^^^^^^

4. Now test Docker without sudo:

docker ps

If that shows the openwebui container (or an empty list), you’re good.

---

(Optional sanity check) Make sure Docker daemon is running

Just in case:

sudo systemctl status docker

If it’s not active (running), then:

sudo systemctl enable --now docker

---

So, TL;DR:

• Right now: use sudo docker … → OpenWebUI should come up.
• Long term: sudo usermod -aG docker darren → log out/in → groups shows docker → no more sudo docker.

You didn’t do anything “out of sequence”; Linux is just stubborn about when group membership actually takes effect.

Exactly — the OS session, not just reopening the terminal.

Linux only applies new group memberships when you:

✅ log out of the entire desktop session and log back in
or
✅ reboot the system
or
❗ open a brand-new real login shell (TTY or full login), not just a new terminal window

Opening a new terminal window does not pick up group changes.

---

Why?

Because your user’s groups are loaded at login time by PAM.
Terminals inherit whatever groups were active at login.

So yes, to activate:

sudo usermod -aG docker darren

you must:

➡️ log out of Ubuntu
➡️ log back in
➡️ then run:

groups

and you’ll see:

darren adm cdrom sudo dip plugdev users lpadmin docker

---

Once you see docker there, try:

docker ps

and it will work without sudo.

---

If you want, rebooting does the same job and is sometimes the easiest option.

Let me know when you're back in and what groups shows.

Perfect — you nailed the important lesson:
OS login session = where group membership is applied, not individual terminals.
Now Docker is good, so we can move on.

And yes — next step is simply start Ollama, confirm it’s running, and then run OpenWebUI so it can see your models.

Here’s the clean sequence.

---

✅ 1. Open a new terminal (now with correct docker permissions)

You’re already good here.

---

✅ 2. Start Ollama (if not already running)

Ollama runs as a system service on Linux, so check its status:

systemctl status ollama

If it’s not running:

sudo systemctl start ollama

Or enable + start:

sudo systemctl enable --now ollama

---

✅ 3. Verify Ollama is responding

curl http://localhost:11434/api/tags

You should see a JSON list of your installed models, something like:

{"models":[{"name":"llama3"}, {"name":"mistral"}]}

This confirms Ollama is alive.

---

✅ 4. Now run OpenWebUI with Docker (no sudo needed now)

Make sure you recreate the container with the correct Ollama connection:

docker run -d \
  --name openwebui \
  -p 3000:8080 \
  -e OLLAMA_BASE_URL=http://host.docker.internal:11434 \
  --add-host=host.docker.internal:host-gateway \
  -v openwebui:/app/backend/data \
  --restart unless-stopped \
  ghcr.io/open-webui/open-webui:main

---

✅ 5. Open the UI

Go to:

http://localhost:3000

When you log in, go to:

Settings → Models → Ollama
(or "Providers" → "Ollama", depending on your version)

Your models should now appear.

---

If you want, we can test everything:

Paste the outputs of:

systemctl status ollama | head -n 15
curl http://localhost:11434/api/tags
docker ps

and I’ll confirm everything is linked correctly.

Yep — that’s exactly right.
Because you launched OpenWebUI with:

--restart unless-stopped

it auto-starts every time the machine boots.

So after the reboot, Docker automatically brought the container back online.

Nothing is wrong — you just need to stop or remove the old container before creating a new one.

Here's what to do:

---

✅ Step 1 — See the running container

docker ps

You should see something like:

CONTAINER ID   IMAGE                                NAME
d62667a7102f   ghcr.io/open-webui/open-webui:main   openwebui

---

✅ Step 2 — Stop the running container

docker stop openwebui

---

✅ Step 3 — Remove the container

You only need this if you want to recreate OpenWebUI fresh (recommended since we changed settings):

docker rm openwebui

If it complains it's still running, just stop it first.

---

✅ Step 4 — Now create the new container

Now the earlier command will work fine:

docker run -d \
  --name openwebui \
  -p 3000:8080 \
  -e OLLAMA_BASE_URL=http://host.docker.internal:11434 \
  --add-host=host.docker.internal:host-gateway \
  -v openwebui:/app/backend/data \
  --restart unless-stopped \
  ghcr.io/open-webui/open-webui:main

---

👍 After that

Open it in your browser:

👉 http://localhost:3000

and check that the Ollama models show up.

---

If you want to start from a clean, clean state (wipe all prior OpenWebUI data), you can also remove the volume:

docker volume rm openwebui

But only do that if you want to reset everything.

---

If you paste:

docker ps -a

I can confirm which containers exist and whether anything else needs to be cleaned up.

Great question — and no, you do NOT need to “run” a model in Ollama for OpenWebUI to list it.

✔️ Ollama just needs to be:

1. Running as a service
2. Responding on port 11434
3. Reachable from the OpenWebUI container

Once those are true, OpenWebUI pulls the list of installed models via:

GET http://host.docker.internal:11434/api/tags

…and your models will appear even if none are running.

---

✅ What must be true for the models to show up

1. Ollama service must be active

Check:

systemctl status ollama

You should see active (running).

---

2. Ollama API must respond

Check what models Ollama sees internally:

ollama list

Then test the API directly:

curl http://localhost:11434/api/tags

If you get JSON back like:

{"models":[{"name":"llama3"}, {"name":"mistral"}]}

Then Ollama is ready.

---

3. OpenWebUI must be started with the correct environment variable

This is the key command:

docker run -d \
  --name openwebui \
  -p 3000:8080 \
  -e OLLAMA_BASE_URL=http://host.docker.internal:11434 \
  --add-host=host.docker.internal:host-gateway \
  -v openwebui:/app/backend/data \
  --restart unless-stopped \
  ghcr.io/open-webui/open-webui:main

If OpenWebUI wasn’t started with that environment variable, it will not see Ollama.

---

❗ You do NOT need to run a model manually in Ollama

For example, you do not need to do:

ollama run llama3

That is only for testing Ollama locally.
Models still appear in OpenWebUI whether they're running or not.

---

⭐ Most common reason models don’t show up

OpenWebUI was launched before OLLAMA_BASE_URL was added.

If you didn’t stop/remove the old container before running the fixed one, the old one may still be active.

Double-check:

docker ps

If OpenWebUI is running and does NOT include that env variable, remove it:

docker stop openwebui
docker rm openwebui

Then recreate with the correct command.

---

If you want, paste these three outputs:

systemctl status ollama | head -n 10
curl http://localhost:11434/api/tags
docker ps

With that, I can tell you exactly why the list isn’t showing.

You’re extremely close — 99% chance it’s just the environment variable or an older container still running.

Gotcha, that helps narrow it down:
OpenWebUI is up, you see the model dropdown, but your llama2 model from Ollama is not in the list.

That almost always means one of three things:

1. Ollama doesn’t actually have a model called what we think it does.
2. OpenWebUI isn’t really talking to Ollama (wrong provider / URL).
3. OpenWebUI hasn’t refreshed/synced the model list from Ollama yet.

Let’s walk through all three in a way you can just follow step-by-step.

---

1️⃣ Confirm what Ollama thinks the model is called

In a normal terminal (on the host, not in Docker):

ollama list

Look at the exact names there — e.g. you might see:

NAME        ID              SIZE
llama2      …               …
llama2:7b   …               …
llama2:13b  …               …

If you don’t see llama2 (or whatever you thought you pulled), that explains it.
In that case you can (re)pull it:

ollama pull llama2

Then re-run:

ollama list

and make sure it’s really there.

---

2️⃣ Check that Ollama’s HTTP API exposes that model

Still on the host:

curl http://localhost:11434/api/tags

You should get JSON back that includes your model, e.g. something like:

{"models":[{"name":"llama2"}, ...]}

If llama2 is not in that JSON, OpenWebUI has nothing to show.
If it is there, great — go on to wiring OpenWebUI.

---

3️⃣ Make sure the OpenWebUI container can reach Ollama

From the host:

docker exec -it openwebui curl http://host.docker.internal:11434/api/tags

• If you see the same JSON (with llama2 in it): networking is good.
• If you get “connection refused” or similar: the container can’t see Ollama → then we double-check the env and add-host settings.

Just to be sure, your container should have been started like this:

docker run -d \
  --name openwebui \
  -p 3000:8080 \
  -e OLLAMA_BASE_URL=http://host.docker.internal:11434 \
  --add-host=host.docker.internal:host-gateway \
  -v openwebui:/app/backend/data \
  --restart unless-stopped \
  ghcr.io/open-webui/open-webui:main

If at some point it was started without -e OLLAMA_BASE_URL=..., then that instance won’t know about Ollama. In that case:

docker stop openwebui
docker rm openwebui
# then re-run the docker run command above

---

4️⃣ Check the provider setting inside OpenWebUI

OpenWebUI can talk to different backends (OpenAI, Ollama, etc.). If the dropdown you’re looking at is for an OpenAI provider, it will never show Ollama models.

In the browser at http://localhost:3000:

1. Log in.
2. Go to Settings (or the gear icon).
3. Look for something like:
   – Models, or
   – Connections / Providers / LLM Settings (depends on version).
4. Ensure Ollama is:
   – Enabled as a provider.
   – Set as the backend / default provider for the chat you’re trying to use.
   – Using the base URL http://host.docker.internal:11434 (if there’s a field for it).

Many builds also have a “Sync models from Ollama” button — hit that if you see it.

Once that’s done, the dropdown should now be populated with whatever you saw in:

ollama list

and

curl http://localhost:11434/api/tags

---

TL;DR checklist for you

You don’t need to answer me to test this; just run these in order:

# 1. Does Ollama actually have the model?
ollama list

# 2. Does the API report it?
curl http://localhost:11434/api/tags

# 3. Can OpenWebUI’s container see Ollama?
docker exec -it openwebui curl http://host.docker.internal:11434/api/tags

If all three show your llama2 model, the remaining fix is inside OpenWebUI’s settings (selecting Ollama as provider and/or syncing models).

If you want to, paste those three outputs next time and I can tell you exactly which link in the chain is missing, but you should be able to narrow it yourself with this.

You actually did everything right — this last bit is just Docker networking plus how Ollama is listening.

From your outputs:

• Host sees the model fine:

ollama list
# -> llama2:latest ...

curl http://localhost:11434/api/tags
# -> JSON with "llama2:latest"

• But inside the container:

docker exec -it openwebui curl http://host.docker.internal:11434/api/tags
# -> connection failed

That means:

• Ollama is only listening on 127.0.0.1 on the host.
• The container is trying to hit host.docker.internal (a different IP), so the host says “nope.”

Two ways to fix that; I’ll give you the simple, blunt one that Just Works™.

---

🔧 Fix: run OpenWebUI with --network host

We’ll nuke the old container and recreate it so the container shares the host’s network (so 127.0.0.1 inside the container really is the host).

1. Stop and remove the existing container

docker stop openwebui
docker rm openwebui

(If either says “No such container”, ignore it and continue.)

2. Run OpenWebUI using host networking

docker run -d \
  --name openwebui \
  --network host \
  -e OLLAMA_BASE_URL=http://127.0.0.1:11434 \
  -v openwebui:/app/backend/data \
  --restart unless-stopped \
  ghcr.io/open-webui/open-webui:main

Key changes:

• --network host → container shares your host’s network.
• OLLAMA_BASE_URL=http://127.0.0.1:11434 → inside the container, this now hits your host’s Ollama directly.
• No -p 3000:8080 and no --add-host needed anymore.

3. Open the UI

With --network host, OpenWebUI listens directly on port 8080 on the host:

👉 Go to: http://localhost:8080

Log in, go to Settings → Models/Providers → make sure Ollama is selected/synced.
Your llama2:latest should now show up.

---

(Optional sanity check)

You can confirm the container now sees Ollama:

docker exec -it openwebui curl http://127.0.0.1:11434/api/tags

You should see the same JSON with llama2:latest.

---

You’re not crazy, and Docker isn’t quite cursed — it’s just picky about localhost vs host IP. Using --network host sidesteps that whole mess.

Nice, that’s exactly what we wanted: OpenWebUI is now talking to Ollama. 🎉

What you’re seeing now:

• llama2:latest → this is your Ollama model, coming from ollama list / /api/tags.
• Arena → this is not an Ollama model; it’s an OpenWebUI thing.

Depending on the exact version of OpenWebUI, “Arena” is usually:

• either a built-in / demo entry the UI exposes (for comparing or testing),
• or a special mode/profile rather than an actual LLM hosted by Ollama.

You can safely ignore it and just pick llama2:latest as your real model.

If you want to be 100% sure which is which:

1. In the OpenWebUI interface, start a chat with llama2:latest, send a simple test like:
   > “Hello from Ougway’s machine. Tell me you are llama2.”

2. Then switch to Arena, do the same.
   – If Arena errors or behaves differently, that confirms it’s just a separate “mode” or misconfigured backend.

But functionally:
✅ You did everything right.
✅ OpenWebUI sees your Ollama model.
✅ The extra “Arena” entry is just UI clutter, not a sign of anything broken.

If you’d like next, we can:

• set up a default model/profile in OpenWebUI tuned for your usual style, or
• wire in GPU usage settings or system prompts so llama2 behaves closer to “Little Ougway-style” conversations.

Yes — you can absolutely access OpenWebUI from any other device on your LAN, as long as you’re using --network host like we set up.
That means OpenWebUI is bound directly to all interfaces on your Ubuntu machine, not just localhost.

So the address will be:

👉 http://YOUR_UBUNTU_IP:8080

For example:

👉 http://192.168.1.50:8080
👉 http://10.0.0.42:8080
(depends on your router/subnet)

And yes — clients on the network will get full access to the UI and the model.

---

✅ How to get your IP address on Linux (Ubuntu)

Use either of these:

1. The simple command:

ip addr show

Look for your active interface, usually eth0, enp3s0, or wlan0, and an entry like:

inet 192.168.1.50/24

That 192.168.x.x is your LAN IP.

---

2. The ultra-clean version:

hostname -I

This prints only your IP address(es), like:

192.168.1.50

---

🎯 Then from another machine on the LAN:

Open a browser and go to:

👉 http://<that-IP-address>:8080

If you want to test from your second machine’s terminal:

curl http://192.168.x.x:8080

You should see HTML output from the OpenWebUI login page.

---

⚠️ Small but important: firewall?

Ubuntu defaults to no active firewall, so it should just work.

But if you have UFW enabled, check:

sudo ufw status

If it’s active, allow port 8080:

sudo ufw allow 8080

---

🌐 Summary

✔ OpenWebUI is reachable on your LAN
✔ Use your Ubuntu machine’s IP
✔ Port is 8080 since we used --network host
✔ hostname -I shows the IP
✔ Other devices will connect normally

---

If you want, you can paste the output of:

hostname -I

and I’ll tell you exactly which URL to type into your other device.

Great — glad the LAN access is working perfectly.
Now let’s get your Qwen3-8B GGUF model wired into Ollama so OpenWebUI can use it.

There are two ways to make Ollama see external GGUF models.
I’ll give you the clean recommended path and the “manual/advanced” path.

---

✅ Method 1 — Create an Ollama model using your Qwen3-8B GGUF file

(Recommended: this is the proper Ollama way)

Ollama doesn’t automatically scan directories for GGUFs.
You tell it “here’s a GGUF, wrap it into an Ollama model” using a Modelfile.

Step 1 — Find your GGUF file

If you’re not sure where it is, try:

find ~/ -type f -name "*.gguf"

Typical locations:

• ~/Downloads/
• ~/Desktop/
• ~/models/
• ~/Documents/

Let’s say it’s here for example:

/home/darren/Downloads/qwen3-8b.gguf

I’ll call it that for now — just replace with your actual path.

---

Step 2 — Create a folder for your model

mkdir -p ~/ollama-qwen3
cd ~/ollama-qwen3

---

Step 3 — Create a Modelfile

Create a file named Modelfile:

nano Modelfile

Paste this inside:

FROM /full/path/to/qwen3-8b.gguf
TEMPLATE """{{ .Prompt }}"""
PARAMETER temperature 0.7

Replace:

/full/path/to/qwen3-8b.gguf

with whatever the find command showed you.

Example:

FROM /home/darren/Downloads/qwen3-8b.gguf
TEMPLATE """{{ .Prompt }}"""

Save and exit (CTRL+O, Enter, CTRL+X).

---

Step 4 — Tell Ollama to create the model

ollama create qwen3-8b -f Modelfile

You should see something like:

creating model qwen3-8b...
success!

---

Step 5 — Confirm Ollama sees it

ollama list

You should now see:

qwen3-8b:latest
llama2:latest

---

Step 6 — Test it manually

ollama run qwen3-8b

If it responds, you're good.

---

Step 7 — It will now appear in OpenWebUI automatically

Just refresh the model dropdown.
You’ll see:

• llama2:latest
• qwen3-8b

DONE. 🎉

---

✅ Method 2 — Use the GGUF file with Ollama without create (not recommended)

This is hacky and not stable.
Use Method 1.

---

🎯 If you want, I can:

• Write you a complete Ollama Modelfile with system prompts
• Optimize Qwen3-8B for speed on your GTX 1060/RTX 3060
• Show how to run multiple GGUF models side-by-side
• Help organize your /home/darren/models directory for future work
• Add temperature, top-k, and other tuning parameters

Just tell me what you want next.

If you give me the path to your GGUF file, I can generate the exact Modelfile for you.

Totally fine — do NOT fight Nano.
It is annoying when you're not in the mood for it.

And yes: you can absolutely pull a Qwen model directly into Ollama without touching files or Modelfiles at all.

Ollama already hosts Qwen2, Qwen2.5, and Qwen2.5-Coder, but not Qwen3 yet.
If you were trying to get Qwen2.5-8B, here’s the easy one-command install.

---

✅ One-command Ollama pull (zero Nano, zero headaches)

Try this:

ollama pull qwen2.5:8b

or:

ollama pull qwen:8b

or for coder:

ollama pull qwen2.5-coder:8b

Then confirm:

ollama list

You’ll now have:

qwen2.5:8b

(or whichever variant you pulled).

Then test:

ollama run qwen2.5:8b

And OpenWebUI will automatically show it.

---

❗ Clarification — There is no official "Qwen3" yet

The Qwen family available in Ollama as of now is:

• qwen:7b / 14b / 72b (older)
• qwen2:1.5b / 7b / 72b
• qwen2.5:1.5b / 7b / 14b / 32b / 72b
• qwen2.5-coder:8b / 32b / 72b

So the closest thing to Qwen3-8B right now is:

⭐ qwen2.5:7b

OR

⭐ qwen2.5-coder:8b

If your goal was high intelligence + good reasoning + low VRAM, the best pick is:

✔️ qwen2.5:7b

If your goal was coding, then:

✔️ qwen2.5-coder:8b

Both will run perfectly under Ollama and show up in OpenWebUI.

---

🎯 Want the closest match to your original “Qwen3 8B GGUF”?

Then just do this:

ollama pull qwen2.5-coder:8b

That one is the most similar modern 8B-scale Qwen model currently shipped.

---

If you want me to:

• tell you which Qwen is closest to DeepSeek/RWKV/Llama style
• optimize temperature / stop sequences / system prompt
• benchmark your GPU against the Qwen models
• tune OpenWebUI to use Qwen as default

Just say the word.

And no Nano required ever again.