sharingan
sparsify
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| sharingan | sparsify | |
|---|---|---|
| 1 | 1 | |
| 20 | 315 | |
| - | 0.3% | |
| 0.0 | 8.0 | |
| about 1 year ago | 13 days ago | |
| JavaScript | Python | |
| MIT License | Apache License 2.0 |
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sharingan
sparsify
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[P] Compound sparsification: using pruning, quantization, and layer dropping to improve BERT performance
Hi u/_Arsenie_Boca_, definitely. Our recipes and sparse models along with the SparseZoo Python API to download them are open-sourced and the SparseZoo UI that can be used to explore them is free to use. The SparseML codebase to apply recipes enabling the creation of the sparse models is open sourced. The Sparsify codebase to create recipes through a UI is as well. And finally, the DeepSparse Engine's backend is closed sourced but free to use.
What are some alternatives?
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