Muse Spark Open
Muse Spark Open is an open-weight, natively multimodal language model for developers and organizations building AI applications, coding systems, and agentic workflows. The released model has 816 billion total parameters, 42 billion active parameters, and a 1-million-token context window. Teams can download the model weights, run inference through supported engines such as vLLM, SGLang, TensorRT-LLM, Hugging Face Transformers, Apple MLX, llama.cpp, or Unsloth, and customize the model using PyTorch. It supports long-context reasoning, software engineering, coding, tool use, and multimodal inputs. Deployment options include cloud inference through listed API providers or self-hosting on compatible GPU systems; Meta documents a desktop setup using two Apple M5 Ultra Mac Studio computers. The model is released under the Muse Model License with limited commercial terms.
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Shift
We help unlock the full potential of the American economy by delivering cross-industry upskilling programs for active duty and a high-impact talent marketplace highlighting military talent. Our vision is to create a world where career growth and learning are visible, accessible, and affordable, and the diversity of someone’s experience and achievements are fairly assessed and celebrated. A mission to supercharge the defense-industrial partnership that underpins America’s national security and economic vitality. A proven, scaleable military assessment system that underpins training programs to more effectively communicate, collaborate, and partner with the private sector. Our talent marketplace recommends the best-fit military talent to your needs, enabling you to host active duty fellows or transitioning interns who bring defense expertise to your organization. Continue the mission through transition with access to civilian recruiters within Shift's network of defense-tech partners.
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Rebellion Defense
We believe warfighters must be equipped with the best software capabilities to detect, deter, and outpace the modern adversary at speed and scale. We’ve brought together private sector technologists with defense veterans who deeply understand the mission. Together, we build technology for defense and national security. We develop advanced software to outpace national security threats. Gain real-time entity identification and tracking for complex threat environments. Rebellion builds software to analyze and secure mission data at speed and scale. We deliver decision-quality insights so operators and analysts can make faster, more informed decisions to keep our adversaries at bay. Gain real-time tracking, predictive analytics, and adaptive planning for complex mission environments. Understand your mission’s exposure to global cyber threats by using automated adversary emulation. Our software delivery model guarantees adaptability, flexibility, and resilience.
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Llama Guard
Llama Guard is an open-source safeguard model developed by Meta AI to enhance the safety of large language models in human-AI conversations. It functions as an input-output filter, classifying both prompts and responses into safety risk categories, including toxicity, hate speech, and hallucinations. Trained on a curated dataset, Llama Guard achieves performance on par with or exceeding existing moderation tools like OpenAI's Moderation API and ToxicChat. Its instruction-tuned architecture allows for customization, enabling developers to adapt its taxonomy and output formats to specific use cases. Llama Guard is part of Meta's broader "Purple Llama" initiative, which combines offensive and defensive security strategies to responsibly deploy generative AI models. The model weights are publicly available, encouraging further research and adaptation to meet evolving AI safety needs.
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