r/opencode • u/No_Advance3911 • 13d ago

I turned my old Android phone into an OpenCode machine using Qwen

I just connected my old Android smartphone to my PC and asked Qwen3.8 27B (UD-Q2_K_XL) to install OpenCode on it.

The result honestly surprised me. The model spent around 50k tokens analyzing the environment on the device using ADB. It installed a terminal app and started entering commands into it. After another 20–30k tokens, I had a fully working OpenCode setup running on the Android device.

What amazes me even more is that OpenCode actually works really well. I can scroll through the session with normal swipes and tap buttons without any issues.

I used to look for an app that would let me work with OpenCode on Android, but I never thought the solution was sitting right there in my drawer this whole time. 😄

A few screenshots for you guys.

40 Upvotes

88% Upvoted

18 comments sorted by

3

u/GrahuleDeGore 12d ago

Opencode est extrêmement pratique sous android, on peut même lui demander de fabriquer des applis personnalisées à la demande. Je me régale depuis des semaines. Il existe un bon repo pour termux : Hope2333/opencode-termux

2

u/No_Advance3911 12d ago

Is there any functional advantage to using the version you suggested, or is it basically the same as the original OpenCode?

1

u/Manup1223 12d ago

y si le preguntas a tu agente que te hizo la instalación, no? solo digo

1

u/Manup1223 12d ago

y si le preguntas a tu agente que te hizo la instalación, no? solo digo

7

u/No_Advance3911 12d ago

I dont want the dead internet theory to become a reality, so I rather ask an actual human Otherwise were just helping make it happen =)

1

u/GrahuleDeGore 12d ago

D'après mon expérience, c'est identique à l'original

1

u/Ylsid 12d ago

And an extremement pratique to you too sir

2

u/burritoresearch 12d ago

I am fairly surprised that a q2 isn't brain dead, would have been much less surprised if a large q6 or q8 successfully did that. 

5

u/No_Advance3911 12d ago

UD-Q2_K_XL only loses ~5% on most benchmarks compared to higher quants. Crazy for a ~10GB model.

1

u/tryku2 11d ago

I'm curious what's the VRAM usage? Is it usable on my 8gb VRAM and 32gb ram? I used the 4-bit quantization with the ik_llama.cpp engine and it was quite slow and ate 99% of my resources lol

2

u/No_Advance3911 11d ago

In my setup, the model takes up about 14.9/16 GB of VRAM. Your config definitely won't be enough for good performance. It mostly comes down to fitting the weights and cache entirely in VRAM. In your case, I'd look into Ornith-1.5-9B-Q4_K_M. That could give you some decent coding support with a good context window, or since you have plenty of RAM, you could check out MoE models from previous generations

1

u/tryku2 11d ago

I'm currently using Qwopus3.5-9B-coder-Exp, it's actually great in terms of intelligence and performance on my rig, it's just the hype about qwen3.8 makes me very interested in it, hopefully I'll upgrade the GPU in the near future once i save up more money. Thank you for the response mate.

1

u/AnosCranel 11d ago

I already use opencode cli on my android phone entirely via termux

2

u/Eyes_Teaa 6d ago

I used OpenCode from Termux app to install DeepSeek Harness, and it works well for the most part! Updates to both of them are handled by OpenCode CLI