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Refactor the monolithic model loading architecture by extracting model-specific runtime, weight loading, and configuration code from skainet-apps and skainet-io-gguf into dedicated per-model modules: - skainet-model-llama: LlamaRuntime, weight loaders, config parser - skainet-model-gemma: Gemma3n runtime, attention, KV cache, encoders - skainet-model-bert: BertRuntime, tokenizer, weight loader - skainet-model-qwen: Qwen config parser, weight source Shared abstractions (ModelArchitecture, QuantPolicy) moved to skainet-io-core. All app modules updated to depend on the new model modules with updated package imports. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace directory-scan-only approach with an explicit smoke-models.json config that supports kllama, kgemma, and kbert runners with per-model overrides. Legacy folder-scan and CLI usage is preserved as a fallback. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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