Fix things.
#12
by
Lewdiculous
- opened
- gguf-imat.py +21 -15
gguf-imat.py
CHANGED
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@@ -89,8 +89,11 @@ def download_model_repo():
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# If the model already exists, prompt the user if they want to delete the model directory
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delete_model_dir = input("Remove HF model folder after converting original model to GGUF? (yes/no) (default: no): ").strip().lower()
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# Convert the existing model to GGUF F16 format and generate imatrix.dat
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convert_model_to_gguf_f16(base_dir, model_dir, model_name, delete_model_dir)
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else:
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revision = input("Enter the revision (branch, tag, or commit) to download (default: main): ") or "main"
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@@ -102,11 +105,14 @@ def download_model_repo():
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snapshot_download(repo_id=model_id, local_dir=model_dir, revision=revision)
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print("Model repository downloaded successfully.")
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# Convert the downloaded model to GGUF F16 format and generate imatrix.dat
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convert_model_to_gguf_f16(base_dir, model_dir, model_name, delete_model_dir)
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# Convert the downloaded model to GGUF F16 format
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def convert_model_to_gguf_f16(base_dir, model_dir, model_name, delete_model_dir):
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convert_script = os.path.join(base_dir, "llama.cpp", "convert.py")
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gguf_dir = os.path.join(base_dir, "models", f"{model_name}-GGUF")
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gguf_model_path = os.path.join(gguf_dir, f"{model_name}-F16.gguf")
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@@ -126,21 +132,21 @@ def convert_model_to_gguf_f16(base_dir, model_dir, model_name, delete_model_dir)
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else:
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print(f"Original model directory '{model_dir}' was not deleted. You can remove it manually.")
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shutil.move(os.path.join(gguf_dir, "imatrix.dat"), gguf_dir)
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print("imatrix.dat generated successfully.")
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else:
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print("
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else:
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print("Skipping
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# Quantize the models
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quantize_models(base_dir, model_name)
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@@ -177,4 +183,4 @@ def main():
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print("Finished preparing resources.")
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if __name__ == "__main__":
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main()
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# If the model already exists, prompt the user if they want to delete the model directory
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delete_model_dir = input("Remove HF model folder after converting original model to GGUF? (yes/no) (default: no): ").strip().lower()
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# Ask for the name of the imatrix.txt file
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imatrix_file_name = input("Enter the name of the imatrix.txt file (default: imatrix.txt): ").strip() or "imatrix.txt"
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# Convert the existing model to GGUF F16 format and generate imatrix.dat
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convert_model_to_gguf_f16(base_dir, model_dir, model_name, delete_model_dir, imatrix_file_name)
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else:
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revision = input("Enter the revision (branch, tag, or commit) to download (default: main): ") or "main"
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snapshot_download(repo_id=model_id, local_dir=model_dir, revision=revision)
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print("Model repository downloaded successfully.")
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# Ask for the name of the imatrix.txt file
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imatrix_file_name = input("Enter the name of the imatrix.txt file (default: imatrix.txt): ").strip() or "imatrix.txt"
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# Convert the downloaded model to GGUF F16 format and generate imatrix.dat
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convert_model_to_gguf_f16(base_dir, model_dir, model_name, delete_model_dir, imatrix_file_name)
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# Convert the downloaded model to GGUF F16 format
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def convert_model_to_gguf_f16(base_dir, model_dir, model_name, delete_model_dir, imatrix_file_name):
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convert_script = os.path.join(base_dir, "llama.cpp", "convert.py")
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gguf_dir = os.path.join(base_dir, "models", f"{model_name}-GGUF")
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gguf_model_path = os.path.join(gguf_dir, f"{model_name}-F16.gguf")
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else:
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print(f"Original model directory '{model_dir}' was not deleted. You can remove it manually.")
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# Generate imatrix.dat if it doesn't exist
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imatrix_exe = os.path.join(base_dir, "bin", "imatrix.exe")
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imatrix_output = os.path.join(gguf_dir, "imatrix.dat")
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imatrix_txt = os.path.join(base_dir, "imatrix", imatrix_file_name)
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if not os.path.exists(imatrix_output):
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# Execute the imatrix command
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subprocess.run([imatrix_exe, "-m", gguf_model_path, "-f", imatrix_txt, "-ngl", "13"], cwd=gguf_dir)
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# Move the imatrix.dat file to the GGUF folder
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if os.path.exists(os.path.join(gguf_dir, "imatrix.dat")):
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shutil.move(os.path.join(gguf_dir, "imatrix.dat"), gguf_dir)
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print("imatrix.dat generated successfully.")
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else:
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print("Failed to generate imatrix.dat file.")
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else:
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print("Skipping imatrix generation as imatrix.dat already exists.")
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# Quantize the models
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quantize_models(base_dir, model_name)
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print("Finished preparing resources.")
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if __name__ == "__main__":
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main()
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