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

31 points sroussey 2 hours ago 9 comments

dyyd3333 1 hour ago | parent

Ok buddy

mortalapeman 55 minutes ago | parent

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.

kimixa 1 minute ago | parent

I assume so - Qwen/Qwen3.8-Flash-Next is marked as the "Base Model" on the huggingface page and states it may be subject to "Qwen's separate authorization or attribution requirements"

And I assume the metrics comparing qwen are using a quantized version - from the blog they compare memory use against qwen's "standard 4-bit deployment". Which might explain the improved performance over that base model they show - it might lose less from quantization.

https://huggingface.co/Edge0/Edge0-145B-NVFP4

Zetaphor 49 minutes ago | parent

This is not open source, this is open weights

fesoliveira 48 minutes ago | parent

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 35 minutes ago | parent

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 26 minutes ago | parent

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 8 minutes ago | parent

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

PaulKeeble 6 minutes ago | parent

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.