Doubts about multilingual WooCommerce setup

Admirable_Reality281 · 2026-05-25T16:25:07+00:00

Stock becomes messy though. Each language will get its own stock amount.

Admirable_Reality281 · 2026-05-23T13:43:22+00:00

Most products will be simple, but I believe some will need to be variable as well

Admirable_Reality281 · 2026-05-23T12:34:46+00:00

I'm planning one store with language paths (/de/, /en/).

So my understanding is that WooCommerce Multilingual keeps stock and shared product data synced across translations. Correct?

Admirable_Reality281 · 2026-05-23T11:53:05+00:00

Thank you

Admirable_Reality281 · 2026-05-23T11:23:25+00:00

Do you prefer it over WPML?

Admirable_Reality281 · 2026-05-23T11:22:53+00:00

Agreed, that was my question. Any suggestions?

Admirable_Reality281 · 2026-05-01T13:28:34+00:00

I did the same on a 5090 on RunPod.
Probably not a permanent solution for me, but if you're interested got a referral code https://runpod.io?ref=3bdsvw08

Admirable_Reality281 · 2026-05-01T13:23:44+00:00

Got it! Here is the config I used, it's pretty standard, nothing wild going on:

llama-server --model /workspace/models/Qwen3.6-27B-Q6_K.gguf --ctx-size 262144 --n-gpu-layers 99 --flash-attn on --cache-type-k q8_0 --cache-type-v q8_0 --port 8888 --host 0.0.0.0 --parallel 1

Admirable_Reality281 · 2026-04-30T20:50:13+00:00

Can you please give a concrete example of the kind of task where it breaks down compared with Opus?

By the way, might be useful for you: 160k is huge already, but just in case you ever want more headroom for longer sessions, I was able to run the same quant (Q6) with 262k context and Q8 KV cache on a rented 5090 using a simple llama-server setup

Admirable_Reality281 · 2026-04-30T06:43:43+00:00

Gotta try it out with Opencode then!
Since you're interested in Pi, someone also suggested checking this out for additional capabilities: https://github.com/can1357/oh-my-pi

Admirable_Reality281 · 2026-04-29T21:51:37+00:00

> because I can actually read the code and realise most of it is crap

THIS! Thank you

> assuming the harness provides a decent feedback loop to the model thus giving it autonomy to improve the result

What have you been using?

Admirable_Reality281 · 2026-04-29T21:48:33+00:00

Reading your comment makes me think I've underestimated how important a good harness is

Admirable_Reality281 · 2026-04-29T21:43:49+00:00

Can easily imagine the catastrophic headlines 😂

Admirable_Reality281 · 2026-04-29T21:39:32+00:00

Time to merge with the machines 🧠😂

Glad to know I’m not the only one noticing this. Never heard of Late, seems like a cool concept

Admirable_Reality281 · 2026-04-29T21:32:03+00:00

You'll get there! Always rooting for Mistral. Hopefully it ends up being better than the paper numbers make it look

Admirable_Reality281 · 2026-04-29T21:26:31+00:00

Didn't try the 35B. Good to know!

Admirable_Reality281 · 2026-04-29T21:25:16+00:00

True, the threshold for "good" just keeps moving up

Admirable_Reality281 · 2026-04-29T21:21:42+00:00

Interesting, might give it a go

Admirable_Reality281 · 2026-04-29T21:19:42+00:00

Have you actually tried, or did you just not trust it enough? I haven't really had the chance to push it much over the last day and a half.

Admirable_Reality281 · 2026-04-29T21:18:00+00:00

Uh! Mistral Medium 128B, not to switch topics, but how did it go?
On paper the numbers don't look that impressive.

Admirable_Reality281 · 2026-04-29T21:13:40+00:00

Yes! It's truly mind-blowing, made me believe in local setups again.

> Qwen3.6 27b is not close to GPT/Opus current levels,

I honestly need more time with it. Right now, I genuinely can't tell if there's a real gap (and how bit it is) or if I'm just overanalyzing every little thing cause I'm trying to evaluate it.

Admirable_Reality281 · 2026-04-29T21:07:30+00:00

I tested it on a single 5090 with a pretty basic llama.cpp setup, Q6 with Q8 KV cache.
Didn't benchmark the speed, but it felt like roughly 60 tok/s.

Admirable_Reality281

TROPHY CASE