UD-IQ1_S is 180Gb. UD-Q4_K_XL is 510Gb. Still beyond the average prosumer.

This is not an open model. License is not open license, and only weights are provided.

What kind of hardware does one need to run this model? Like a small datacenter node?

Nice a Mastodon shoutout.

Glad that Meta is back on the open weights train in force.

Who would have thought that one of the top American tech companies would boast about how their latest product is the best in class in the US, not the world, because they're behind China.

Feels dumber than GLM 5.3 (only open model I use extensively). But is really fast (fireworks.ai).

Only checked a single, large prompt that already ran today on claude and glm though..

It performs worse than Muse Spark 1.3 and 1.2. And it has an outdated attention mechanism which at 1M tokens will need over 200GB just for the KV cache.

Very disappointing release. We're lucky to have Chinese models.

Why is Gemma not in the comparison table?

from what i understand its somewhere between muse spark 1.3 and 1.2 in some coding benches.