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Model Pruning has 8 facts recorded in Dontopedia across 2 references, with 2 live disagreements.
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percentageOfNeuronsRemoveddescriptionrdf:typeTimeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
doc:beam/52a2411f-6cdc-40f7-817f-3feef46e4a6b- The model is pruned by removing 50% of the neurons in linear layers. This reduces the number of parameters and improves inference speed. 4. **Efficient Tokenizer**: - The `use_fast=True` option is used to enable the fast tokenizer …
doc:beam/bb2aab74-cb89-46a1-b5a7-6b9467a30fe0### Additional Considerations - **Model Optimization**: - Consider using model quantization or pruning to reduce the model size and improve inference speed. - Use tools like TensorFlow Lite or ONNX Runtime for optimized inference on va…
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