good to see new open weights releases from meta

Meta did not abandon opensource. I would love to see a smaller distill, or a moe of this size but the benchmarks seems competetive as long as it isnt benchmaxed witch i would not be suprosed if it is.

Will be interesting to see how Qwen3.8 27B compares against this once it releases this week. Seems like dense 30B is back in fashion?

Looking forward to giving this a try with llama.cpp. I’m watching the open-weights competition with high expectations.

What I think would be perfect is a model that could run on a single DGX spark and be competitive with DSV4 Flash 731. Flash is already a game changer. Hopefully meta plans on this, like the old 70b. V4 flash is smart enough for any use but slightly too big. 27b-30b isn’t intelligent enough.

Still needs 32-64GB memory to run it locally. 64GB Macbook pro with an M5 chip costs more than 4k Euros in Germany. A more practical model would be a language specific (e.g Python or JVM language) and excellent at tool calling and reasoning. Maybe that way they can shrink it even more.

Wow, Meta is back (at least for now)!

I like this class of model. Multi-token prediction makes it viable to run dense models at not-too-far-off speeds as MoE models with much better intelligence.

The submission’s title (open weights 30B local coding model) is luckily wrong: This is meant to be a general agentic model.

It even comes pre-quantized and with a MTP/drafter model. Looking good!

Let’s hope they aren’t dishonest with the benchmarks this time …

The favourable comparisons to Gemma 4 and qwen3.6 look promising!

The more open weight models get released the greater the market for personal and small business oriented hardware to run these models. This will drive lower cost hardware, which has stagnated in recent years due to most software not needing the performance and capacity.

Meta knows how to win back developer's hearts .... let's see if they have the goods