I've found that mimo v2.5 works for very basic things like a python script to do one thing, but it also is very 'dumb' compared to qwen 3.8-flash-next (I think the benchmark scores for terminal and coding specific benches back this up). And definitely not in the same class as like a GLM5.2 or 5.3. It's fast but makes basic mistakes that only get caught later.

▲

girvo 3 hours ago | parent | next [-]

The fact I can run Qwen 3.8 Flash Next locally, forever (on my DGX Spark-alike) is genuinely shocking to me. It’s crazy good for how small it is. Fast, too.

▲

jonsoft an hour ago | parent | next [-]

I made this 3D game in a day on the same setup with Qwen Code as agent: https://games.jonathanpage.com/

And I am not a web developer! It's an extraordinary model.

(Mouse and keyboard required)

▲

walrus01 3 hours ago | parent | prev [-]

Yeah, I'm guessing you have a variant that fits in <128GB with 262k context? I have the unsloth Q8 GGUF of it here in a setup that with full context and ton of extra llama-server "--cache-ram" sits around 200GB RAM usage on a 256GB system, it's probably the best thing I've found for a 256GB class machine. Enough headroom for a rope/yarn extension to 524288 context if I need it.

	▲	girvo 2 hours ago \| parent [-]
		Yep, the engrams are on NVMe (the speed penalty was lower than I expected) and it is quantised to fit. It’s good enough that I’m considering a second spark, or selling this and buying an M5 Ultra with 256GB for it

▲

7 hours ago | parent | prev [-]

[deleted]