Muse Glimmer fits a local agent into a 24 GB envelope

Meta released Apache-2.0 weights for Muse Glimmer, a 30B model for local agent workflows. Meta says approximately 4-bit quantization reduces the language model to under 20 GB, leaving room in a 24 GB or 32 GB envelope for KV cache, a vision encoder, and a speculative-decoding drafter. Why it matters: The deployment constraint is visible: local use depends on memory, latency, and the surrounding runtime rather than parameter count alone. Meta's performance claims still need to be checked on the target hardware and workload.

Try this: Run one repeatable task locally, record memory use, latency, and completion rate, then compare the same task with a remote model before moving sensitive context.