Runs locally on constrained devices to turn text into guaranteed-parsable JSON tool calls, typed structured extractions, or sentence embeddings. Delivered as a single compact weights file (8–29 MB) with a laddered 2–20-layer design, low-bit quantisation and calibrated confidence scores for on-device apps.
[next-mdx-remote-client] error compiling MDX: Unexpected character `1` (U+0031) before name, expected a character that can start a name, such as a letter, `$`, or `_` More information: https://mdxjs.com/docs/troubleshooting-mdx
Turns text prompts or up to eight reference images into high-resolution images, with support for editing. An eight-step sampler and built-in prompt upsampler streamline generation, though bf16 inference requires substantial GPU memory.
Fine-tunes Qwen3.8-27B to change how it answers politically sensitive questions, targeting both factual recall and framing. The training reinforces values selected by Nous Research; intended for users who want that viewpoint or study value alignment.
