Edge0-145B: Frontier AI Capabilities on Your Own Computer

mortalapeman

Is this a derived from flash next? That's the impression I get from reading over everything. Using Strata + Qwen 3.8 Flash Next now and I am beyond impressed. It's basically as capable as 5.6 Luna in my hands so far. If this is an upgrade I can't wait to try it out.

Zetaphor

This is not open source, this is open weights

fesoliveira

Interesting, if 3rd party testing and benchmarking hold the published values this is very exciting. I am a bit skeptical given the model size, but I hope it turns out to be true!

SwellJoe

I'm really impressed with the Blender examples. It's amazing how far "tool use" has come, when it now means using a tool as complicated as Blender to perform work that would take a human days to complete. I'm a little skeptical the actual models are workable, in the sense that a human could come in after and manually refine and apply better textures, etc. Historically, agent-made designs are messy as hell, and by the time you clean them up, you haven't saved any time. But, that's begun to get better; the best models are now very good at making clean shape-based SVGs, for example, that are no messier than what a human would make in Inkscape or Illustrator. But, I'll definitely give it a try.

rybosome

TerminalBench scores often correspond to real world performance for coding agents that rely heavily on bash. This score is roughly on par with 5.6 Terra max, which in my direct experience is perfectly capable of driving a cloud agent harness that can do pretty complex knowledge work. Definitely worth an evaluation!

paulhart

Are there any iOS apps that support the Edge0-35B model? I'm curious to try that out on-device.

PaulKeeble

Thy have shipped this as NVFP4 so its Nvidia blackwell only, presumably their inference engine doesn't support anything outside CUDA 13 specified either. Will be interesting to see if this gains some other quants and other inference engines pick it up and we get some standard GGUF files, its a bit of weird release at the moment rather than GGUF file downloads the variants link on HF is leading to a directory of stuff which contains the model spread across a variety of files.

suthakamal

Why so little information about the company on the corporate website?

1612elphi

I'm really glad they provided us with the graph of "Model Parameters over time", fucking lmao

mikeshi42

> Sharing matrices substantially reduces the weights that must be stored and moved while keeping the expert count unchanged. Each group of 64 experts shares two large matrices, while each expert retains a small set of parameters that captures its differences. 145B parameters with only peak 29GB memory usage - really impressive, truly something you can actually run on a decent spec MBP

devmor

> Edge0-145B requires a compatible laptop with... Damn, guess I can't run this on my desktop. /s

quicklywilliam

This smells off.

nightdeployboy

Is the era of one seat per person AI coming?

dpweb

Harness improvements like context pruning, malformed tool call healing also very helpful to boost smaller local models. Doing alot of work in this area lately. Qwen 27B in Terminal Bench 2.1 73->85 for instance.

Centigonal

What's the point of the 120B model?

SillyUsername

For those of us with slow SSDs but a lot of RAM (relative to this model's file size) would this benefit from the extra memory, loading all in, or would I need to set up an old school RAM disk to prevent the swapping?

_boffin_

This just a quantized version of 3.8 next flash on strata that’s branded?

40four

I’m admittedly not an expert, I’ve not had the time or energy to try out many of these new American open weight models. I’ll just say this, we obviously all know they (American open weight models) are playing catch-up to the competition. So if your reaction is “why would I use this over Qwen this, or Deepseek that” you’re really missing the mark. Yeah, they are all going to be behind on benchmarks for now . Nobody realistically expects some American open weight model to come out of nowhere and beat Qwen/ Deepseek/ et cetera. But there has been a flurry of new releases from this segment, and it’s interesting to me to watch how it develops.

daemonologist

I am once again impressed by the ability of language models to generate huge amounts of relevant-looking text (and diagrams now!) while actually communicating as little as possible.