Upload quantize.py
Browse files- quantize.py +26 -0
quantize.py
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import sys
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from safetensors.torch import load_file, save_file
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from torch import float8_e4m3fn, float8_e5m2
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if len(sys.argv) != 4:
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print("Provide input/output file names and fp8 type as either e4m3 or e5m2")
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exit(1)
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if sys.argv[3] == "e4m3":
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dt = float8_e4m3fn
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elif sys.argv[3] == "e5m2":
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dt = float8_e5m2
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else:
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print("Invalid quantization type, should be either e4m3 or e5m2")
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exit(1)
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state_dict = load_file(sys.argv[1])
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for k in state_dict:
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if "norm" in k or "bias" in "k":
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state_dict[k] = state_dict[k].bfloat16()
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else:
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state_dict[k] = state_dict[k].to(dt)
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save_file(state_dict, sys.argv[2])
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