mirror of
https://github.com/microsoft/BitNet.git
synced 2026-05-03 11:20:36 +00:00
134 lines
4.7 KiB
Python
134 lines
4.7 KiB
Python
#!/usr/bin/env python3
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import sys
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import os
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import shutil
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import subprocess
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from pathlib import Path
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def run_command(command_list, cwd=None, check=True):
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print(f"Executing: {' '.join(map(str, command_list))}")
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try:
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process = subprocess.run(command_list, cwd=cwd, check=check, capture_output=False, text=True)
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return process
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except subprocess.CalledProcessError as e:
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print(f"Error executing command: {' '.join(map(str, e.cmd))}")
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print(f"Return code: {e.returncode}")
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raise
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def main():
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if len(sys.argv) < 2:
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script_name = Path(sys.argv[0]).name
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print(f"Usage: python {script_name} <model-directory>")
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sys.exit(1)
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model_dir_arg = sys.argv[1]
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model_dir = Path(model_dir_arg).resolve()
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if not model_dir.is_dir():
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print(f"Error: Model directory '{model_dir}' not found or is not a directory.")
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sys.exit(1)
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utils_dir = Path(__file__).parent.resolve()
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project_root_dir = utils_dir.parent
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preprocess_script = utils_dir / "preprocess-huggingface-bitnet.py"
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convert_script = utils_dir / "convert-ms-to-gguf-bitnet.py"
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llama_quantize_binary = project_root_dir / "build" / "bin" / "llama-quantize"
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input_file = model_dir / "model.safetensors"
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input_backup_file = model_dir / "model.safetensors.backup"
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preprocessed_output_file = model_dir / "model.safetensors"
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gguf_f32_output = model_dir / "ggml-model-f32-bitnet.gguf"
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gguf_i2s_output = model_dir / "ggml-model-i2s-bitnet.gguf"
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if not preprocess_script.is_file():
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print(f"Error: Preprocess script not found at '{preprocess_script}'")
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sys.exit(1)
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if not convert_script.is_file():
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print(f"Error: Convert script not found at '{convert_script}'")
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sys.exit(1)
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if not llama_quantize_binary.is_file():
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print(f"Error: llama-quantize binary not found at '{llama_quantize_binary}'")
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sys.exit(1)
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if not input_file.is_file():
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print(f"Error: Input safetensors file not found at '{input_file}'")
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sys.exit(1)
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try:
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print(f"Backing up '{input_file}' to '{input_backup_file}'")
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if input_backup_file.exists():
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print(f"Warning: Removing existing backup file '{input_backup_file}'")
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input_backup_file.unlink()
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shutil.move(input_file, input_backup_file)
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print("Preprocessing huggingface checkpoint...")
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cmd_preprocess = [
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sys.executable,
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str(preprocess_script),
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"--input", str(input_backup_file),
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"--output", str(preprocessed_output_file)
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]
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run_command(cmd_preprocess)
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print("Converting to GGUF (f32)...")
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cmd_convert = [
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sys.executable,
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str(convert_script),
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str(model_dir),
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"--vocab-type", "bpe",
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"--outtype", "f32",
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"--concurrency", "1",
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"--outfile", str(gguf_f32_output)
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]
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run_command(cmd_convert)
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print("Quantizing model to I2_S...")
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cmd_quantize = [
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str(llama_quantize_binary),
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str(gguf_f32_output),
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str(gguf_i2s_output),
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"I2_S",
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"1"
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]
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run_command(cmd_quantize)
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print("Convert successfully.")
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except Exception as e:
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print(f"An error occurred: {e}")
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finally:
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print("Cleaning up intermediate files...")
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if preprocessed_output_file.exists() and preprocessed_output_file != input_backup_file:
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print(f"Removing preprocessed file: {preprocessed_output_file}")
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try:
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preprocessed_output_file.unlink()
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except OSError as e:
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print(f"Warning: Could not remove {preprocessed_output_file}: {e}")
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# if gguf_f32_output.exists():
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# print(f"Removing f32 GGUF: {gguf_f32_output}")
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# try:
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# gguf_f32_output.unlink()
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# except OSError as e:
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# print(f"Warning: Could not remove {gguf_f32_output}: {e}")
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if input_backup_file.exists():
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if not input_file.exists():
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print(f"Restoring original '{input_file}' from '{input_backup_file}'")
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try:
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shutil.move(input_backup_file, input_file)
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except Exception as e:
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print(f"Warning: Could not restore {input_file} from backup: {e}")
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else:
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print(f"Removing backup '{input_backup_file}' as original '{input_file}' should be present.")
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try:
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input_backup_file.unlink()
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except OSError as e:
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print(f"Warning: Could not remove backup {input_backup_file}: {e}")
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if __name__ == "__main__":
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main() |