| import os | |
| from posix import system | |
| import requests | |
| import zipfile | |
| import subprocess | |
| import shutil | |
| import platform | |
| from huggingface_hub import snapshot_download | |
| def clone_or_update_llama_cpp(): | |
| print("Preparing...") | |
| base_dir = os.path.dirname(os.path.abspath(__file__)) | |
| os.chdir(base_dir) | |
| if not os.path.exists("llama.cpp"): | |
| subprocess.run(["git", "clone", "--depth", "1", "https://github.com/ggerganov/llama.cpp"]) | |
| else: | |
| os.chdir("llama.cpp") | |
| subprocess.run(["git", "pull"]) | |
| os.chdir(base_dir) | |
| print("The 'llama.cpp' repository is ready.") | |
| def build_or_rebuild_llama_cpp(): | |
| answer = input("Build or Rebuild? yes/no\n") | |
| answer = answer.strip().lower() | |
| if answer == "yes": | |
| os.chdir("llama.cpp") | |
| subprocess.run(["make", "clean"]) | |
| subprocess.run(["make", "-j", "8", "GGML_CUDA=1"]) | |
| elif answer == "no": | |
| print("No action") | |
| def download_llama_release(): | |
| base_dir = os.path.dirname(os.path.abspath(__file__)) | |
| dl_dir = os.path.join(base_dir, "bin", "dl") | |
| if not os.path.exists(dl_dir): | |
| os.makedirs(dl_dir) | |
| os.chdir(dl_dir) | |
| latest_release_url = "https://github.com/ggerganov/llama.cpp/releases/latest" | |
| response = requests.get(latest_release_url) | |
| if response.status_code == 200: | |
| latest_release_tag = response.url.split("/")[-1] | |
| download_url = f"https://github.com/ggerganov/llama.cpp/releases/download/{latest_release_tag}/llama-{latest_release_tag}-bin-win-cuda-cu12.2.0-x64.zip" | |
| response = requests.get(download_url) | |
| if response.status_code == 200: | |
| with open(f"llama-{latest_release_tag}-bin-win-cuda-cu12.2.0-x64.zip", "wb") as f: | |
| f.write(response.content) | |
| with zipfile.ZipFile(f"llama-{latest_release_tag}-bin-win-cuda-cu12.2.0-x64.zip", "r") as zip_ref: | |
| zip_ref.extractall(os.path.join(base_dir, "bin")) | |
| print("Downloading latest 'llama.cpp' prebuilt Windows binaries...") | |
| print("Download and extraction completed successfully.") | |
| return latest_release_tag | |
| else: | |
| print("Failed to download the release file.") | |
| else: | |
| print("Failed to fetch the latest release information.") | |
| def download_cudart_if_necessary(latest_release_tag): | |
| base_dir = os.path.dirname(os.path.abspath(__file__)) | |
| cudart_dl_dir = os.path.join(base_dir, "bin", "dl") | |
| if not os.path.exists(cudart_dl_dir): | |
| os.makedirs(cudart_dl_dir) | |
| cudart_zip_file = os.path.join(cudart_dl_dir, "cudart-llama-bin-win-cu12.2.0-x64.zip") | |
| cudart_extracted_files = ["cublas64_12.dll", "cublasLt64_12.dll", "cudart64_12.dll"] | |
| if all(os.path.exists(os.path.join(base_dir, "bin", file)) for file in cudart_extracted_files): | |
| print("Cuda resources already exist. Skipping download.") | |
| else: | |
| cudart_download_url = f"https://github.com/ggerganov/llama.cpp/releases/download/{latest_release_tag}/cudart-llama-bin-win-cu12.2.0-x64.zip" | |
| response = requests.get(cudart_download_url) | |
| if response.status_code == 200: | |
| with open(cudart_zip_file, "wb") as f: | |
| f.write(response.content) | |
| with zipfile.ZipFile(cudart_zip_file, "r") as zip_ref: | |
| zip_ref.extractall(os.path.join(base_dir, "bin")) | |
| print("Preparing 'cuda' resources...") | |
| print("Download and extraction of cudart completed successfully.") | |
| else: | |
| print("Failed to download the cudart release file.") | |
| def download_model_repo(): | |
| base_dir = os.path.dirname(os.path.abspath(__file__)) | |
| models_dir = os.path.join(base_dir, "models") | |
| if not os.path.exists(models_dir): | |
| os.makedirs(models_dir) | |
| model_id = input("Enter the model ID to download (e.g., huggingface/transformers): ") | |
| model_name = model_id.split("/")[-1] | |
| model_dir = os.path.join(models_dir, model_name) | |
| gguf_dir = os.path.join(base_dir, "models", f"{model_name}-GGUF") | |
| gguf_model_path = os.path.join(gguf_dir, f"{model_name}-F16.gguf") | |
| imatrix_file_name = input("Enter the name of the imatrix.txt file (default: imatrix.txt): ").strip() or "imatrix.txt" | |
| delete_model_dir = input("Remove HF model folder after converting original model to GGUF? (yes/no) (default: no): ").strip().lower() | |
| if os.path.exists(gguf_model_path): | |
| create_imatrix(base_dir, gguf_dir, gguf_model_path, model_name, imatrix_file_name) | |
| else: | |
| if os.path.exists(model_dir): | |
| print("Model repository already exists. Using existing repository.") | |
| convert_model_to_gguf_bf16(base_dir, model_dir, model_name, delete_model_dir, imatrix_file_name) | |
| else: | |
| revision = input("Enter the revision (branch, tag, or commit) to download (default: main): ") or "main" | |
| print("Downloading model repository...") | |
| snapshot_download(repo_id=model_id, local_dir=model_dir, revision=revision) | |
| print("Model repository downloaded successfully.") | |
| convert_model_to_gguf_bf16(base_dir, model_dir, model_name, delete_model_dir, imatrix_file_name) | |
| def convert_model_to_gguf_bf16(base_dir, model_dir, model_name, delete_model_dir, imatrix_file_name): | |
| convert_script = os.path.join(base_dir, "llama.cpp", "convert_hf_to_gguf.py") | |
| gguf_dir = os.path.join(base_dir, "models", f"{model_name}-GGUF") | |
| gguf_model_path = os.path.join(gguf_dir, f"{model_name}-BF16.gguf") | |
| if not os.path.exists(gguf_dir): | |
| os.makedirs(gguf_dir) | |
| if not os.path.exists(gguf_model_path): | |
| subprocess.run(["python", convert_script, model_dir, "--outfile", gguf_model_path, "--outtype", "bf16"]) | |
| convert_model_to_gguf_f16(base_dir, model_dir, model_name, delete_model_dir, imatrix_file_name) | |
| def convert_model_to_gguf_f16(base_dir, model_dir, model_name, delete_model_dir, imatrix_file_name): | |
| convert_script = os.path.join(base_dir, "llama.cpp", "convert_hf_to_gguf.py") | |
| gguf_dir = os.path.join(base_dir, "models", f"{model_name}-GGUF") | |
| gguf_model_path = os.path.join(gguf_dir, f"{model_name}-F16.gguf") | |
| if not os.path.exists(gguf_dir): | |
| os.makedirs(gguf_dir) | |
| if not os.path.exists(gguf_model_path): | |
| subprocess.run(["python", convert_script, model_dir, "--outfile", gguf_model_path, "--outtype", "f16"]) | |
| if delete_model_dir == 'yes' or delete_model_dir == 'y': | |
| shutil.rmtree(model_dir) | |
| print(f"Original model directory '{model_dir}' deleted.") | |
| else: | |
| print(f"Original model directory '{model_dir}' was not deleted. You can remove it manually.") | |
| create_imatrix(base_dir, gguf_dir, gguf_model_path, model_name, imatrix_file_name) | |
| def create_imatrix(base_dir, gguf_dir, gguf_model_path, model_name, imatrix_file_name): | |
| if platform.system() == "Linux": | |
| imatrix_exe = os.path.join(base_dir, "llama.cpp", "llama-imatrix") | |
| elif platform.system() == "Windows": | |
| imatrix_exe = os.path.join(base_dir, "bin", "llama-imatrix.exe") | |
| imatrix_output_src = os.path.join(gguf_dir, "imatrix.dat") | |
| imatrix_output_dst = os.path.join(gguf_dir, "imatrix.dat") | |
| if not os.path.exists(imatrix_output_dst): | |
| try: | |
| subprocess.run([imatrix_exe, "-m", gguf_model_path, "-f", os.path.join(base_dir, "imatrix", imatrix_file_name), "-ngl", "7"], cwd=gguf_dir) | |
| shutil.move(imatrix_output_src, imatrix_output_dst) | |
| print("imatrix.dat moved successfully.") | |
| except Exception as e: | |
| print("Error occurred while moving imatrix.dat:", e) | |
| else: | |
| print("imatrix.dat already exists in the GGUF folder.") | |
| quantize_models(base_dir, model_name) | |
| def quantize_models(base_dir, model_name): | |
| gguf_dir = os.path.join(base_dir, "models", f"{model_name}-GGUF") | |
| bf16_gguf_path = os.path.join(gguf_dir, f"{model_name}-BF16.gguf") | |
| quantization_options = [ | |
| "IQ3_M", "IQ3_XXS", | |
| "Q4_K_M", "Q4_K_S", "IQ4_XS", | |
| "Q5_K_M", "Q5_K_S", | |
| "Q6_K", | |
| "Q8_0" | |
| ] | |
| for quant_option in quantization_options: | |
| quantized_gguf_name = f"{model_name}-{quant_option}-imat.gguf" | |
| quantized_gguf_path = os.path.join(gguf_dir, quantized_gguf_name) | |
| if platform.system() == "Linux": | |
| quantize_command = os.path.join(base_dir, "llama.cpp", "llama-quantize") | |
| elif platform.system() == "Windows": | |
| quantize_command = os.path.join(base_dir, "bin", "llama-quantize.exe") | |
| imatrix_path = os.path.join(gguf_dir, "imatrix.dat") | |
| subprocess.run([quantize_command, "--imatrix", imatrix_path, | |
| bf16_gguf_path, quantized_gguf_path, quant_option], cwd=gguf_dir) | |
| print(f"Model quantized with {quant_option} option.") | |
| if platform.system() == "Linux": | |
| def main(): | |
| clone_or_update_llama_cpp() | |
| build_or_rebuild_llama_cpp() | |
| download_model_repo() | |
| print("Finished preparing resources.") | |
| elif platform.system() == "Windows": | |
| def main(): | |
| clone_or_update_llama_cpp() | |
| latest_release_tag = download_llama_release() | |
| download_cudart_if_necessary(latest_release_tag) | |
| download_model_repo() | |
| print("Finished preparing resources.") | |
| if __name__ == "__main__": | |
| main() | |