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On August 10, 2026, Fireworks AI launched serverless and on-demand deployment services for Meta's Muse Glimmer 30B dense model. The model is released under the Apache 2.0 license, supports a 128K+ token context window and native image understanding, and targets persistent agent scenarios that require multi-turn tool calling. Architecturally, it uses sliding window attention, with a window of 2,048 tokens in most layers and one global attention layer every four layers, combined with 2 KV heads to control KV cache usage. Fireworks provides recommended parameters of temperature 1.0, top_p 0.95, and top_k 64, and supports setting reasoning effort from low to xhigh in the system prompt. According to Meta's report, the model scores 75.5 on MCP Atlas, 74.6 on DeepSearch QA, and 51.2 on SWE-Bench Pro, all higher than the corresponding results of Gemma 4 31B and Qwen 3.6 27B. There are currently no further developments.
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Meta's Muse Glimmer 30B Launches on Fireworks, Targeting Persistent AgentsDevelopments
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Aug 10
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Meta's Muse Glimmer 30B Launches on Fireworks, Targeting Persistent Agents
Fireworks has launched Meta's Muse Glimmer 30B dense model under the Apache 2.0 license, supporting 128K+ token context and native image understanding, targeting persistent agents that require multi-turn tool calling. The model scores 75.5 on MCP Atlas, 74.6 on DeepSearch QA, and 51.2 on SWE-Bench Pro, all higher than the corresponding results of Gemma 4 31B and Qwen 3.6 27B; these benchmark figures are reported by Meta. Fireworks also provides recommended settings of temperature 1.0, top_p 0.95, and top_k 64, and supports adjusting reasoning intensity in the system prompt.
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