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
Rewrites AI-generated English and Chinese drafts so they read like human writing while preserving every number, date, unit, name and quote. Runs locally with multiple GGUF quantized builds and a strict byte-for-byte prompt format for consistent rewrites.
Delivers fast, calibrated 'System 1' decisions over text and images (yes/no, 2–256 choices, 0–5 scores) in one forward pass, plus full 'System 2' Qwen3.8-27B multimodal reasoning. Highlights: zero-shot vision judging, 256K-token context, vLLM decision API, Apache-2.0.
Provides an EXL3 3.0 bits-per-weight quantization of a weight-edited GLM-5.3 UNCENSORED FP8 model for self-hosted text generation and agent workflows. Key characteristics: 753B MoE architecture, 273 GiB on disk, converted with ExLlamaV3; tool-call parsing requires preserving string arguments.
