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Built GLM-5.2-visual-runtime: a training-free multimodal runtime gateway that makes GLM-5.2 work like a vision-capable model.
It keeps images as persistent visual variables, runs local visual/OCR/chart/palette tools only when needed, and sends compact structured evidence to the reasoning model instead of retraining or modifying weights.
The one-click stack includes GLM-5.2 via vLLM, Qwen3-Omni for vision/omni input, local OCR, Postgres, MinIO, and an OpenAI-compatible API.
Model repo: wassemgtk/glm-5.2-visual-runtime
It keeps images as persistent visual variables, runs local visual/OCR/chart/palette tools only when needed, and sends compact structured evidence to the reasoning model instead of retraining or modifying weights.
The one-click stack includes GLM-5.2 via vLLM, Qwen3-Omni for vision/omni input, local OCR, Postgres, MinIO, and an OpenAI-compatible API.
Model repo: wassemgtk/glm-5.2-visual-runtime
