ollama-webui VS MindMac

I'm a podman beginner, trying to install ollama-webui(1) using Podman on M2 MBA.

I started up Podman Desktop, and did a terminal command "docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v ollama-webui:/app/backend/data --name ollama-webui --restart always ghcr.io/ollama-webui/ollama-webui:main" based on Github's instructions, but it gave a error message something about "host".

Do you know what is the problem and how do I overcome this?

If I run the above command using Docker Desktop, it runs and installs Ollama-WebUI just fine.

(1) https://github.com/ollama-webui/ollama-webui ("Installing with Docker")

Thank you.

I set up Ollama in a docker container (really easy) and I use the Ollama web-ui here, that's very much like ChatGPT, and I have that in a container as well.

The primary use case here seems to be that it might be possible to use this tool to spend <$20/mo for the same feature set as ChatGPT+. It does not currently make any effort to support locally-hosted open source models, which is what I would have assumed from its name.

If you're interested in a fully Libre LLM stack, I've had fun lately with ollama [0] and ollama-webui [1]. It was pretty trivial to take ollama-webui's docker-compose file and set up a locally-running chat server with Mistral 7B. Trying out different models and prompts was likewise very easy to get started with.

Mistral isn't anything like as good as GPT-4, but it's Apache licensed and fully local, which meets my definition of Libre. I'll continue to use both while the FOSS stacks catch up, but it's fun to keep up with the progress on the open source stuff as tooling develops.

[0] https://github.com/jmorganca/ollama

[1] https://github.com/ollama-webui/ollama-webui

To avoid both instability and strict limitations, you can utilize the ChatGPT API. By adding the API key into clients like MindMac[0], you will gain access to a pleasant UI with numerous additional features.

[0] https://mindmac.app

I highly recommend MindMac (https://mindmac.app) which adds os-wide support for Ollama (and "Open"AI et el) along with optional clipboard access and text entry.

LMStudio is great to run local LLMs, also support OpenAI-compatible API. In the case you need more advance UI/UX, you can use LMStudio with MindMac(https://mindmac.app), just check this video for details https://www.youtube.com/watch?v=3KcVp5QQ1Ak.

Hello, I am the creator of MindMac. I would like to apologize for any inconvenience you may have experienced. If you could kindly provide information about the version in which you encountered the CPU issue, it would be greatly appreciated. Please note that earlier versions of MindMac were known to use CPU intensively. However, I want to assure you that this problem has been resolved in the latest release, version 1.6.2.