AI is happening. The future is updating.Muse-Glimmer-30B-NVFP4
The NVIDIA Muse-Glimmer-30B NVFP4 model is the quantized version of Meta Superintelligence Lab's Muse-Glimmer-30B model, which is an auto-regressive language model that uses an optimized transformer architecture. Muse Glimmer is a dense causal transformer with a dedicated perception encoder for interleaved text and image input, purpose-built for local agentic tasks including multi-step reasoning, tool use, and multimodal understanding. For more information, please check here. The NVIDIA Muse-Glimmer-30B NVFP4 model is quantized with Model Optimizer. This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA (Muse-Glimmer-30B) Model Card from Meta. Developers building autonomous agentic systems, multi-step planning agents, coding agents, and multimodal reasoning applications requiring reliable tool use and failure recovery on consumer hardware.
The NVIDIA Muse-Glimmer-30B NVFP4 model is the quantized version of Meta Superintelligence Lab's Muse-Glimmer-30B model, which is an auto-regressive language model that uses an optimized transformer architecture. Muse Glimmer is a dense causal transformer with a dedicated perception encoder for interleaved text and image input, purpose-built for local agentic tasks including multi-step reasoning, tool use, and multimodal understanding. For more information, please check here. The NVIDIA Muse-Glimmer-30B NVFP4 model is quantized with Model Optimizer. This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA (Muse-Glimmer-30B) Model Card from Meta. Developers building autonomous agentic systems, multi-step planning agents, coding agents, and multimodal reasoning applications requiring reliable tool use and failure recovery on consumer hardware.