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general-instinct/instinctrazor
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60
Language ·
Python
License ·
Apache-2.0
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Explain why Mixture of Experts models compress better than standard dense models according to this project.
Walk me through running the lightweight verification test on a smaller model before attempting the full pipeline.
What benchmarks does this project use to measure quality loss after quantization.
How much GPU hardware do I need to reproduce the full compression result versus the small scale test.
Summarize the known limitations of the evaluation setup described in this README.
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