For hosting a web gui for ollama I use https://tuns.sh

It really convenient because it's just an SSH tunnel and then you get automatic TLS and it protects your home IP.

With that you can access it from your mobile phone, just gotta require a password to access it.

I'm running OpenWebUI via Docker via OrbStack, it also automatically provides TLS and works pretty well.

I wrote my own UI[0] that connects over WebRTC using Smoke.[1]

[0] https://github.com/minwidth0px/gpt-playground and https://github.com/minwidth0px/Webrtc-NAT-Traversal-Proxy-Se...

[1] https://github.com/sinclairzx81/smoke

A lot of the UIs, including OpenWebUI have the feature to expose over LAN with users - that's what I did to use my GPU while still being on my phone. Not entirely sure about native UIs though.

Also, I normally use Groq's (with a q) API since it's really cheap with no upfront billing info required - it's a whole order of magnitude cheaper iirc than OpenAI/Claude. They literally have a /openai endpoint if you need compatibility.

You can look in the direction of Google's Gemma if you need a lightweight open weights LLM - there was something there that I forgot.

I personally use a mix of Open WebUI, Big AGI, BoltAI, AnythingLLM on the desktop. The mobile space is where things are really lacking at the moment, really I just end up browsing to Open WebUI but that's not ideal. I'd love a iOS native client that's well integrated into Siri, Shortcuts, Sharing etc...

I have Open WebUI on a Hetzner instance connected to Deep Infra. Works on mobile by turning the web page into an app. I find the web framework that WebUI uses quite bloated/slow, but apart from that it does work reliably. Price at Deep Infra is typically about $0.04 per month even when actively asking lots of questions during programming.

I built a custom GUI for coding tasks specifically, with built-in code context management and workspaces:

https://prompt.16x.engineer/

Should work well if you have 64G vRAM to run SOTA models locally.

> Should work well if you have 64G vRAM to run SOTA models locally.

Does anyone have this?

edit: Ah, it's a Mac app.

Yeah Mac eats Windows on running LLMs.

My app does support Windows though, you can connect to OpenAI, Claude, OpenRouter, Azure and other 3rd party providers. Just running SOTA LLMs locally can be challenging.

I'm pretty satisfied with my linux nvidia gpu setup. I may not have as much memory on my card, but the speed is almost certainly competitive if not outright faster. Further there are lots of techniques that mitigate this issue like offloading/streaming layers in as needed, quantizing, etc.

It also handles actual training/finetuning better.

M4 Max with 128 GB RAM here. ;) Love it. A very expensive early Christmas present.

Great looking GUI, I find simple black/white/boxy/monospace UIs very effective.

If you’re using a Mac, I’ve built a lightweight native app - https://github.com/sheshbabu/Chital

That's very cool, finally a native app that runs fast. Thanks.

Thanks for the kind words :)

Aa a Windows user, who just wanted something bare bones for playing, I found this[1] small project useful. It does support multi-modal models which is nice.

[1]: https://github.com/jakobhoeg/nextjs-ollama-llm-ui

For running llms _locally_ on Android, there's "pocketpal" (~7tok/s on a pixel 7 pro for some quant of llama 3.2 3B).

(Not sure if it uses ollama though)

As far as open source goes, I'd probably recommend LibreChat. It has connections for ollama, openai, anthropic, etc. It let's you setup auth so you can theoretically use it from anywhere (phone, etc.).

Fair warning, it's relatively heavyweight in so far as it has to spin up a number of docker instances but works very well.

https://github.com/danny-avila/LibreChat

Many are there, apart from what others mentioned I am exploring Anything LLM - https://anythingllm.com/. Liked the workspace concept in it. We can club documents in workspaces and RAG scope is managed.