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aimlbd / HuggingFace.Quantization_in_Depth

18.9 GB

1 contributor

History: 1 commit

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Materials
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Transcript
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0_Introduction_HFQD.mp4

165 MB
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10_Replace PyTorch layers with Quantized Layers_HFQD.mp4

204 MB
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11_Quantize any Open Source PyTorch Model_HFQD.mp4

344 MB
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12_Load your Quantized Weights from Hugging Face Hub_HFQD.mp4

293 MB
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13_Weights Packing_HFQD.mp4

218 MB
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14_Packing 2-bit Weights_HFQD.mp4

318 MB
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15_Unpacking 2-Bit Weights_HFQD.mp4

331 MB
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16_Beyond Linear Quantization_HFQD.mp4

284 MB
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17_Conclusion_HFQD.mp4

28.4 MB
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1_Overview_HFQD.mp4

118 MB
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2_Quantize and De-quantize a Tensor_HFQD.mp4

438 MB
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3_Get the Scale and Zero Point_HFQD.mp4

491 MB
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4_Symmetric vs Asymmetric Mode_HFQD.mp4

291 MB
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5_Finer Granularity for more presision_HFQD.mp4

84.5 MB
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6_Per Channel Quantization_HFQD.mp4

456 MB
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7_Per Group Quantization_HFQD.mp4

289 MB
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8_Quantizing Weights & Activations for Inference_HFQD.mp4

142 MB
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9_Custom Build an 8-Bit Quantizer_HFQD.mp4

519 MB
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