Add VLM inference infrastructure: engine, protocol, and CLI support#65
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Add VLM inference infrastructure: engine, protocol, and CLI support#65stikves wants to merge 1 commit into
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Runtime: - MultimodalInferenceEngine protocol with encodeImage() and generate() - CoreAISequentialVLMEngine: vision encoder + projector + embed_tokens + LLM decoder with scatter-merge of image embeddings at placeholder positions - EmbeddedInput type wrapping NDArray embeddings with position metadata - VisionConfig in LanguageConfig for image_size, patch_size, token count/id - LanguageBundle parses top-level "vision" block from metadata.json CLI (llm-runner): - --image flag routes through VLM engine when bundle kind is .vlm - Chat template detection with generic fallback for prompt construction - Accumulated token decode for correct spacing - Stop sequence support in VLM path Supports any VLM that exports 3 components (vision.aimodel, embed.aimodel, model.aimodel) with a vision config block in metadata.json. Model-family- specific export code lives in internal/python.
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Runtime:
CLI (llm-runner):
Supports any VLM that exports 3 components (vision.aimodel, embed.aimodel, model.aimodel) with a vision config block in metadata.json. Model-family- specific export code lives in internal/python.