Script parity. Handle error.
Browse files- gguf-imat.py +10 -32
gguf-imat.py
CHANGED
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@@ -5,7 +5,6 @@ import subprocess
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import shutil
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from huggingface_hub import snapshot_download
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# Clone or update the llama.cpp repository with --depth 1
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def clone_or_update_llama_cpp():
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print("Preparing...")
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base_dir = os.path.dirname(os.path.abspath(__file__))
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@@ -18,7 +17,6 @@ def clone_or_update_llama_cpp():
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os.chdir(base_dir)
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print("The 'llama.cpp' repository is ready.")
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# Download and extract the latest release of llama.cpp Windows binaries
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def download_llama_release():
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base_dir = os.path.dirname(os.path.abspath(__file__))
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dl_dir = os.path.join(base_dir, "bin", "dl")
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@@ -45,7 +43,6 @@ def download_llama_release():
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else:
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print("Failed to fetch the latest release information.")
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# Download and extract the Cuda .dll resources if they aren't present in the bin folder
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def download_cudart_if_necessary(latest_release_tag):
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base_dir = os.path.dirname(os.path.abspath(__file__))
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cudart_dl_dir = os.path.join(base_dir, "bin", "dl")
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@@ -55,7 +52,6 @@ def download_cudart_if_necessary(latest_release_tag):
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cudart_zip_file = os.path.join(cudart_dl_dir, "cudart-llama-bin-win-cu12.2.0-x64.zip")
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cudart_extracted_files = ["cublas64_12.dll", "cublasLt64_12.dll", "cudart64_12.dll"]
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# Check if all required files exist
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if all(os.path.exists(os.path.join(base_dir, "bin", file)) for file in cudart_extracted_files):
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print("Cuda resources already exist. Skipping download.")
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else:
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@@ -71,7 +67,6 @@ def download_cudart_if_necessary(latest_release_tag):
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else:
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print("Failed to download the cudart release file.")
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# Ask for user input to download or fetch from cache the specified model repository if it doesn't exist
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def download_model_repo():
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base_dir = os.path.dirname(os.path.abspath(__file__))
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models_dir = os.path.join(base_dir, "models")
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@@ -82,36 +77,28 @@ def download_model_repo():
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model_name = model_id.split("/")[-1]
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model_dir = os.path.join(models_dir, model_name)
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# Check if the model repository already exists
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if os.path.exists(model_dir):
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print("Model repository already exists. Using existing repository.")
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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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# Ask the user if they want to remove the HF model folder after conversion
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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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print("Downloading model repository...")
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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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@@ -120,38 +107,30 @@ def convert_model_to_gguf_f16(base_dir, model_dir, model_name, delete_model_dir,
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if not os.path.exists(gguf_dir):
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os.makedirs(gguf_dir)
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# Check if F16 file already exists
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if not os.path.exists(gguf_model_path):
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# Execute the conversion command
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subprocess.run(["python", convert_script, model_dir, "--outfile", gguf_model_path, "--outtype", "f16"])
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# Delete the original model directory under conditions
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if delete_model_dir == 'yes' or delete_model_dir == 'y':
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shutil.rmtree(model_dir)
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print(f"Original model directory '{model_dir}' deleted.")
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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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if not os.path.exists(
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print("imatrix.dat
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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("
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# Quantize the models
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quantize_models(base_dir, model_name)
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# Quantize models with different options
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def quantize_models(base_dir, model_name):
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gguf_dir = os.path.join(base_dir, "models", f"{model_name}-GGUF")
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f16_gguf_path = os.path.join(gguf_dir, f"{model_name}-F16.gguf")
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@@ -174,7 +153,6 @@ def quantize_models(base_dir, model_name):
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f16_gguf_path, quantized_gguf_path, quant_option], cwd=gguf_dir)
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print(f"Model quantized with {quant_option} option.")
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# Main function - Steps
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def main():
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clone_or_update_llama_cpp()
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latest_release_tag = download_llama_release()
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import shutil
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from huggingface_hub import snapshot_download
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def clone_or_update_llama_cpp():
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print("Preparing...")
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base_dir = os.path.dirname(os.path.abspath(__file__))
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os.chdir(base_dir)
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print("The 'llama.cpp' repository is ready.")
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def download_llama_release():
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base_dir = os.path.dirname(os.path.abspath(__file__))
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dl_dir = os.path.join(base_dir, "bin", "dl")
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else:
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print("Failed to fetch the latest release information.")
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def download_cudart_if_necessary(latest_release_tag):
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base_dir = os.path.dirname(os.path.abspath(__file__))
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cudart_dl_dir = os.path.join(base_dir, "bin", "dl")
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cudart_zip_file = os.path.join(cudart_dl_dir, "cudart-llama-bin-win-cu12.2.0-x64.zip")
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cudart_extracted_files = ["cublas64_12.dll", "cublasLt64_12.dll", "cudart64_12.dll"]
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if all(os.path.exists(os.path.join(base_dir, "bin", file)) for file in cudart_extracted_files):
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print("Cuda resources already exist. Skipping download.")
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else:
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else:
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print("Failed to download the cudart release file.")
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def download_model_repo():
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base_dir = os.path.dirname(os.path.abspath(__file__))
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models_dir = os.path.join(base_dir, "models")
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model_name = model_id.split("/")[-1]
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model_dir = os.path.join(models_dir, model_name)
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if os.path.exists(model_dir):
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print("Model repository already exists. Using existing repository.")
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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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imatrix_file_name = input("Enter the name of the imatrix.txt file (default: imatrix.txt): ").strip() or "imatrix.txt"
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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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delete_model_dir = input("Remove HF model folder after converting original model to GGUF? (yes/no) (default: no): ").strip().lower()
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print("Downloading model repository...")
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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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imatrix_file_name = input("Enter the name of the imatrix.txt file (default: imatrix.txt): ").strip() or "imatrix.txt"
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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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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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if not os.path.exists(gguf_dir):
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os.makedirs(gguf_dir)
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if not os.path.exists(gguf_model_path):
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subprocess.run(["python", convert_script, model_dir, "--outfile", gguf_model_path, "--outtype", "f16"])
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if delete_model_dir == 'yes' or delete_model_dir == 'y':
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shutil.rmtree(model_dir)
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print(f"Original model directory '{model_dir}' deleted.")
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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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imatrix_exe = os.path.join(base_dir, "bin", "imatrix.exe")
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imatrix_output_src = os.path.join(gguf_dir, "imatrix.dat")
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imatrix_output_dst = os.path.join(gguf_dir, "imatrix.dat")
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if not os.path.exists(imatrix_output_dst):
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try:
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subprocess.run([imatrix_exe, "-m", gguf_model_path, "-f", os.path.join(base_dir, "imatrix", imatrix_file_name), "-ngl", "8"], cwd=gguf_dir)
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shutil.move(imatrix_output_src, imatrix_output_dst)
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print("imatrix.dat moved successfully.")
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except Exception as e:
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print("Error occurred while moving imatrix.dat:", e)
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else:
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print("imatrix.dat already exists in the GGUF folder.")
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quantize_models(base_dir, model_name)
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def quantize_models(base_dir, model_name):
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gguf_dir = os.path.join(base_dir, "models", f"{model_name}-GGUF")
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f16_gguf_path = os.path.join(gguf_dir, f"{model_name}-F16.gguf")
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f16_gguf_path, quantized_gguf_path, quant_option], cwd=gguf_dir)
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print(f"Model quantized with {quant_option} option.")
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def main():
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clone_or_update_llama_cpp()
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latest_release_tag = download_llama_release()
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