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Quantize embedding / Update quantize API (#680)
* more async eval * quantize embedding / update quantize api * more updates for quantize * update for quantize embeddings * update sd quant API * update sdxl quants * error for datasets < batch_size * async * fix config loading * fix quant * fix tests * fix req * remove lm head if tie weights is true * fix test
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@@ -254,7 +254,7 @@ def quantize(weights, config, args):
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model.update(tree_unflatten(list(weights.items())))
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# Quantize the model:
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nn.QuantizedLinear.quantize_module(model, args.q_group_size, args.q_bits)
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nn.quantize(model, args.q_group_size, args.q_bits)
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# Update the config:
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quantized_config["quantization"] = {
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