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aimlbd
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aimlbd
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HuggingFace.Quantization_in_Depth
18.9 GB
1 contributor
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1 commit
swsuws
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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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