Meta’s Muse Glimmer Trains Agents Inside Simulated Lives
A 30B open-weight model for agentic tasks on a single consumer GPU at 4-bit precision.
Meta published a technical report on Muse Glimmer, a 30B open-weight model for agentic work.
Meta says Muse Glimmer is built for agentic tasks on consumer hardware. It runs at practical speeds on a Mac or PC with a single consumer GPU at 4-bit precision.
Meta also says it leads comparably sized open models on tool use and multi-step planning. The report covers the model architecture, distillation recipe and quantization.
| Item | Detail |
|---|---|
| Parameters | 30B, open weights |
| Target hardware | Mac or PC, single consumer GPU |
| Precision for practical speed | 4-bit |
| Training worlds | Simulated digital lives, 10 to 14 contacts |
| Discarded trajectories | Hallucinated results, unverified success claims |
The training ground is a fake life.
@kimmonismus calls the report “pretty interesting.” It describes training agents inside simulated digital lives, complete with 10 to 14 contacts, weeks of messages, calendars and documents.
The agents practice tasks spanning multiple days. Training trajectories that contain hallucinated results or unverified claims of success are discarded.
Sources
- @kimmonismus on X · Oct 19, 12:51 PM PT