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Encoder path, quantized router index, and a catalog SPI
- #111
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Aug 8, 2026
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Encoder path, quantized router index, and a catalog SPI
#111
bsbodden
merged 28 commits into
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integrallis/models:main
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feat/router-classifier
integrallis/models:feat/router-classifier
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Add a benchmark-farmed corpus for router task classification
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Add TaskIndexBuilder: writes the classifier index as a persistent collection
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Add TaskIndex and PretrainedTaskClassifier over the persistent index
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Add TaskIndexCli: builds the router task index and gates its accuracy
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Stream bake-off results to disk after each model
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Fix four task sources that were labelling the corpus wrongly
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Add threshold calibration measuring in-domain against out-of-domain
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Add TaskIndexResource: unpack the shipped index so it can be mapped
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Keep corpus iteration order stable, and digest the corpus into the manifest
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Add the llama.cpp reference for EmbeddingGemma-300M Q8_0
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Wire task-index into the benchmark CLI dispatcher
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Implement the gemma-embedding encoder path
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Leave pooling to encoders when building the task index
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Support Matryoshka truncation when embedding
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Record the index quantizer, and cache embeddings between builds
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Commits on Aug 8, 2026
Store the router index as quantized codes only
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Parallelise the encoder, and ship the index in models-router
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Move the training corpus to its own repository
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Rebuild the shipped index with instruction-only prompts
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Add a catalog SPI so local models register themselves
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Discover Apple on-device intelligence, behind an opt-in
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Estimate throughput instead of dropping unprofiled models
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Merge origin/main into feat/router-classifier
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Bump to 0.3.1
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Actually commit the classifier index
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Keep the catalog hint out of the architecture guard
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Carry 0.3.1 through the release metadata
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Keep Antora's component version symbolic
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