Multiverse Computing published a technique on August 25, 2026 that inverts one of the most reliable tradeoffs in model ...

At identical 2-bit precision, one decision about which axis you quantize along swings a benchmark score from 2.88 to 63.53.

Muse Glimmer features 30 billion parameters, which means that it would normally require about 55 gigabytes of RAM. Meta’s engineers shrunk its footprint to under 20 gigabytes using various ...

Meta Superintelligence Labs has introduced Muse Glimmer, a 30-billion-parameter open-weight model designed for always-on local agent workflows. The model is released under the Apache 2.0 license and ...