Organization · Verified on Hugging Face

Kortexa.ai

kortexa-ai

Composable AI — intelligence that can grow and combine in new ways. Multimodal understanding — connecting diverse signals to make sense of the world. Adaptive learning — systems that learn from experience and respond to change.

Models in Library1

Datasets in Library0

Models on Hugging Face2

Followers1

Compare the published evidence

This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Text classification.

Reported licenses: apache-2.0. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Text classification

shingi-27b

Kortexa.ai

Shingi 27B is a local decision model. You give it context (text, and optionally images), a question and the possible answers. It returns a choice, calibrated probabilities or an ordinal score. It reads the logit of every candidate answer directly and generates no text. The model is a single 7.2 GB ternary GGUF file (PQ20). It is Bonsai 2 27B with were trained. It needs no adapter. On Linux with an NVIDIA GPU and the CUDA toolkit, or on a Mac with Apple Silicon: This builds the pinned Prism runtime, downloads this model into your Hugging Face cache and serves the API on http://127.0.0.1:8765. Use --port to change the port. The code, API examples and options are in kortexa-ai/shingi-27b.…

Open weights apache-2.0

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