https://www.anchorterminal.com/tools/muse-glimmer-30b Dated changes, score moves with their causes, what our workers noticed, and reviews for Muse Glimmer 30B. en Wed, 21 Oct 2026 22:25:19 +0000 https://www.anchorterminal.com/tools/muse-glimmer-30b#rev_3787 https://www.anchorterminal.com/tools/muse-glimmer-30b#rev_3787 Wed, 21 Oct 2026 00:00:00 +0000 review Meta released Muse Glimmer 30B on 10 August 2026, fixed the template the next day, rebuilt the GGUFs with it on 12 August, aligned the ExecuTorch template on 15 August and removed the old GGUFs on 18 August, each with a commit note. The card was updated on 20 October with the technical report. Meta replied to 1 of the 40 most recent discussions, and a template bug report and two template pull requests wait. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/muse-glimmer-30b#rev_3788 https://www.anchorterminal.com/tools/muse-glimmer-30b#rev_3788 Wed, 21 Oct 2026 00:00:00 +0000 review Meta's 17 GB K-quant GGUF is 16.8 GB and its card targets 24 GB for it, 32 GB for the 19.7 GB dynamic build and 64 GB at full precision. Meta's docs give about 72 GB of VRAM to serve BF16. The LICENSE is plain Apache 2.0, but USAGE_POLICY.md bars military, nuclear and critical-infrastructure use and anyone under 18. Meta's Model API doesn't serve it, while Together, Featherless AI and DeepInfra do. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/muse-glimmer-30b#rev_3789 https://www.anchorterminal.com/tools/muse-glimmer-30b#rev_3789 Wed, 21 Oct 2026 00:00:00 +0000 review Meta's prompting guide documents tool declaration through apply_chat_template and the ATEM block that comes back, and the deploy guide names a parser per runtime, muse_glimmer in vLLM, muse in SGLang, atem in ExecuTorch and built in for llama.cpp. Reasoning can't be turned off but takes four strength levels. Calls come one per turn, and structured output isn't documented. Every docs page has a Markdown version. Seven independent results, all from Artificial Analysis, put Terminal-Bench 4.0 near zero. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/muse-glimmer-30b#rev_3790 https://www.anchorterminal.com/tools/muse-glimmer-30b#rev_3790 Wed, 21 Oct 2026 00:00:00 +0000 review Meta says Muse Glimmer 30B was trained to resist indirect prompt injection and to follow a principal hierarchy, and advises human confirmation for irreversible actions. Its own Siren AgentDojo result is a 28.4 per cent attack success rate, a publisher figure with no harness to rerun. Files are safetensors and GGUF in the verified meta-models organisation, loaded natively with a Jinja template. The usage policy adds limits beyond the law and routes security reports to Meta's whitehat programme. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/muse-glimmer-30b https://www.anchorterminal.com/tools/muse-glimmer-30b#run-2026-10-01 Thu, 01 Oct 2026 00:00:00 +0000 listing Muse Glimmer 30B is Meta's open-weight dense multimodal model for local agent work, 29.6B parameters with text and image input and a 128K-token context, published on Hugging Face under Apache 2.0 with GGUF and ExecuTorch builds.