A bilingual vision-language model built on Keural Mid, a 183.6M-parameter vision encoder trained from random initialization — not a CLIP, ViT or DINO derivative. This repository contains the trained bridge only: a projector and LoRA adapters, 37 MB total. The encoder and decoder load from their own repositories. A vision-language model can post respectable scores while barely using the image — "what colour is the banana?" is answerable from language priors alone. Every benchmark below was therefore run twice: once normally, once with the visual tokens removed and everything else held constant. The delta is the encoder's contribution. It is the one number a language model cannot manufacture.…
Independent publisher
Hika Dalju
Hikaf143
Vision Language model
Models in Library3
Datasets in Library0
Models on Hugging Face7
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Published tasks: Image and text to text, Image feature extraction, Text generation.
Reported licenses: apache-2.0, other. Open a record to review its specific license and conditions.
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Models
A 183.5M-parameter image encoder built from scratch — adaptive tokenization, hierarchical concept tokens, and continuous 2D positional encoding. Not a CLIP/ViT fine-tune. Measured at 384×384 with tokenbudget=512, matching training. Accuracy trails same-size peers — see Limitations and Evaluation for why, and for the higher-k retrieval results where the gap closes. The encoder is frozen and used as-is inside a bilingual (English + Korean) Only a projector (8.9M) and LoRA adapters (5.0M) are trained on top; the decoder is Qwen2.5-7B-Instruct. A vision-language model can score respectably while barely using the image, because many questions are answerable from language priors alone. Each…
Keural Cortex is MKD's local-first Korean-English language-model program for Keural applications. This release is an 8B-parameter, instruction- and preference-aligned checkpoint with a structured tool-calling layer for enterprise workflows. It is designed to run in customer-controlled infrastructure through an OpenAI-compatible vLLM endpoint. The host application—not the model—executes tools, enforces permissions, retrieves live data, and owns user data handling. English. Keural Cortex is a locally deployable AI foundation-model capability built for Korean-English enterprise interaction. It combines efficient 8B-scale inference, controllable OpenAI-compatible serving, and structured…