Model Detail
Muse-Glimmer-30B
▼ 3.2%Muse-Glimmer-30B is a multimodal model with 30B parameters released by meta-models. The model is registered under the image-text-to-text pipeline tag on Hugging Face, and supports text+image->text inputs, distributed under the permissive apache-2.0 license.
Muse-Glimmer-30B is priced at $0.35/M input tokens and $1.5/M output tokens. Operationally the model offers a 131K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. At this input rate the model sits in the commodity tier and is suitable for high-volume workloads where per-call cost dominates the decision.
Muse-Glimmer-30B ships with 30B parameters. Total weight footprint is approximately 29.8 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.
Downloads of Muse-Glimmer-30B have moved -3.2% over the past 24 hours, -3.5% over the trailing seven days. That is a slight downtrend, consistent with normal cooling as newer models compete for the same workloads. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.
Muse-Glimmer-30B is best fit for mixed text-and-image reasoning tasks such as document understanding, and high-volume batch jobs where per-call cost dominates the budget. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
Muse Glimmer 30B: An On-Device Agentic Model
arXiv:2610.24628v2 Announce Type: replace-cross Abstract: We introduce Muse Glimmer, an open-source 30B parameter causal language model with perception encoder, purpose-built for autonomous agentic tasks on consumer hardware. Muse Glimmer integrates multi-step reasoning, reliable tool use and failur
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