Provides calibrated probabilistic decisions (yes/no, 2–256 choice, 0–5 score) in one forward pass, with an optional adaptive-thinking mode that invokes Gemma‑4 when System 1 is uncertain; supports text+image, 256K context and vLLM serving, but adaptive thinking is much slower.
[next-mdx-remote-client] error compiling MDX: Unexpected character `0` (U+0030) before name, expected a character that can start a name, such as a letter, `$`, or `_` More information: https://mdxjs.com/docs/troubleshooting-mdx
Generates text conditioned on multimodal inputs (text, image, audio, video) with a 1M-token context window; an open-weights mixture-of-experts model aimed at long-horizon coding and agentic workflows, with NVFP4 checkpoints to reduce memory footprint.
Quantized multimodal vision-language model for reasoning, coding, tool use, document and video understanding; 120B total (12B active) with NVFP4 quantization, native Multi-Token Prediction for speculative decoding, and up to 1M-token context — designed for deployment on NVIDIA GPU stacks.
Text-only sparse Mixture-of-Experts language model for long-context reasoning, coding, and agentic tool use; 501B total / ~23B active parameters, 1M-token context, and BF16/FP8/NVFP4 checkpoints released under Apache 2.0.
