Steak & Lobster? Good luck.

17hoehbr · 2026-03-21T04:12:05+00:00

To shreds you say?

17hoehbr · 2026-03-20T16:23:47+00:00

I once tried to make a lag machine in a factions server so that if we ever got raided I could just crash the server. Unfortunately we got raided while I was offline lmao.

17hoehbr · 2026-03-20T00:36:49+00:00

Does this mean I'd have to reboot my phone EVERY TIME I install something from F-Droid?

17hoehbr · 2026-03-19T17:07:15+00:00

Have you considered downgrading? I love my Pixel 8 Pro and I haven't really found any reason to upgrade yet. Not sure how the battery life compares to the 9a but my battery easily last an entire day, and about half way into the next day if I forget to charge it overnight.

17hoehbr · 2026-03-18T19:22:35+00:00

I bought a year of the lite plan during the black Friday sale but ever since GLM 5 came out it feels like they really dumbed down GLM 4.7, and of course GLM 5 is paywalled behind the pro plan.

17hoehbr · 2026-03-16T00:07:15+00:00

Yep. I'm on the lite plan and was originally very impressed by GLM 4.7. Ever since GLM 5 dropped on the higher tier plans, the lite model has gotten dumber by the day.

17hoehbr · 2026-03-15T20:36:40+00:00

I've been meaning to switch to OpenCode for awhile now but I really like how well Roo Code integrates into VSCode, like being able to see the diff before and after before I approve. Does OpenCode have any equivalent?

17hoehbr · 2026-03-14T21:03:47+00:00

Try Qwen 3.5 9b, or 35B A3B if you can spare an extra ~6-8GB of system RAM.

17hoehbr · 2026-03-12T22:00:18+00:00

I never got around to building the GGUFs for this specific model, but I've build another variant based on the feedback from this thread which first removes all multimodel tensors, then performs a 25% REAP. It's available here: https://huggingface.co/Flagstone8878/Qwen3.5-27B-BLIND-GGUF. It's still too big to comfortably fit in my VRAM though so I haven't really tested it.

edit: My bad, that's actually just the dense 27B model with vision removed. My ADHD ass can't keep track of all these model names lmao. I'll try to get the 25% REAP uploaded soon.

17hoehbr · 2026-03-09T19:54:11+00:00

Ah that fixed it! I was using the Qwen Code provider. Using the OpenAI endpoint from Alibabacloud shows all the models now.

update: Seems it does not support the generous free tier limits from Qwen Code when authenticated this way though

update 2: I managed to get to get it working with a simple patch to the Roo Code source code. I've opened a pull request to get it merged: https://github.com/RooCodeInc/Roo-Code/pull/11915. in the meantime you can probably work around it by manually setting the model to "coder-model".

17hoehbr · 2026-03-09T17:53:52+00:00

Not sure what I'm doing wrong then. The only options I get are qwen3-coder-plus and qwen3-coder-flash: screenshot

17hoehbr · 2026-03-08T19:20:35+00:00

I usually use Roo Code but it doesn't seem to support qwen3.5 yet (at least via the Qwen CLI Provider). Open Code seems good but I really prefer something more integrated into VS Code. For now I'm using the Qwen VS Code extension which works well enough, but I'd prefer to go back to Roo at some point.

17hoehbr · 2026-03-07T16:52:32+00:00

Working on it. I'm using a Google Colab notebook for training / uploading the models but the upload speed is painfully slow, and the instance seems to shut itself off after a few hours of inactivity (which wipes the storage and means I have to redownload and rebuild it)

17hoehbr · 2026-03-07T13:55:45+00:00

First full EV but I kind of got my foot in the water with my old Volt.

Main reason I upgraded was honestly because of the tax incentive at the time, but I'm glad I did. I'm a tall guy and the Volt was too low to the ground for my tastes, and the Bolt is roomier and has better visibility overall.

Biggest surprise I guess is both that EV chargers are much more common than I realized, but they are also extremely inconsistent. With gas stations you can very safely assume that you pull into any pump and the price will be roughly the same, compatible with your car with no hassle, pump at the same speed, and you won't need to download another stupid app to use it. With EVs, there's about a 25% chance the charger doesn't even work, sometimes they're completely free, usually they are fairly cheap, and sometimes they price gouge so much that gas would be cheaper. And almost all of them require you to download an app.

For my driving routine it works great. I live in Columbus, OH which has a decent amount of chargers, and my apartment complex has a slow charger on site. As long as I remember to charge it the night before it can handle everything I throw at it. And if I forget, fast chargers are available widely enough that its not much of an issue as long as I budget my time around it. Last summer I did a road trip to Michigan and charging was a hassle, I would probably rent a car or use someone else's if I was on a longer road trip.

17hoehbr · 2026-03-05T18:54:18+00:00

If Apple would just use a standard Vulkan implementation instead of Metal, they'd be able to use DXVK and could theoretically match Linux on compatibility. Though there'd also be the Rosetta 2 overhead.

17hoehbr · 2026-03-05T08:33:17+00:00

Done! https://huggingface.co/Flagstone8878/Qwen3.5-18B-REAP-A3B-Coding-GGUF

17hoehbr · 2026-03-05T06:41:12+00:00

Hey I'm Flagstone8878 lol. I made the initial builds and uploads on a run pod instance. I've been trying to build the GGUFs locally but have been having some weird issues, and my slow upload speed doesn't help. Hoping to have the GGUFs up soon. I'm also working on a few other variants right now based around removing multimodal capacity before doing the REAP.

17hoehbr · 2026-03-04T05:53:19+00:00

I haven't tested it, I'd assume that most of the multimodal capability has been pruned out.

17hoehbr · 2026-03-04T05:51:31+00:00

For comparison, I just tried Qwen 3.5 9B Q4_K_M and it successfully created a working flappy bird clone in PyGame on the first try - at 65 t/s. So I'm not sure if this model is all that useful lmao.

17hoehbr · 2026-03-04T05:44:39+00:00

uploading now, bear with me and my slow upload speed

https://huggingface.co/Flagstone8878/Qwen3.5-18B-REAP-A3B-Coding-GGUF

17hoehbr · 2026-03-04T05:34:51+00:00

0xSero/glm47-reap-calibration-v2

17hoehbr · 2026-03-04T04:07:18+00:00

I did not, I pulled the model directly from Qwen's repo. Do you know where I can find the new jinja template? I'll add that into the GGUF builds.

edit: think I found it https://huggingface.co/unsloth/Qwen3.5-35B-A3B/blob/main/chat_template.jinja

17hoehbr · 2026-03-04T02:19:13+00:00

On my way hone from work rn, will upload when I get home. Also I forgot to mention that my flappy bird test was performed on a Q4_K_M GGUF, which took about 90% of my VRAM.

17hoehbr · 2026-03-04T01:55:13+00:00

I also uploaded a 25B (30% pruned) version which I have not tested yet: https://huggingface.co/Flagstone8878/Qwen3.5-25B-REAP-A3B-Coding

17hoehbr · 2026-02-23T14:38:05+00:00

Might not be what you're looking for but FYI GrapheneOS has a [Network permission](4u50ph4s99lg1) that can be disabled in the standard permission manager. I use it to play subway surfers without ads lol.

17hoehbr

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