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@@ -7,7 +7,7 @@ from tqdm import tqdm
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MODELS_MANIFEST = 'https://ollama.ai/api/models'
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-MODELS_CACHE_PATH = path.join(Path.home(), '.ollama', 'models')
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+MODELS_CACHE_PATH = Path.home() / '.ollama' / 'models'
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def models(*args, **kwargs):
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@@ -78,7 +78,7 @@ def find_bin_file(json_response, location, branch):
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def download_file(download_url, file_name, file_size):
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- local_filename = path.join(MODELS_CACHE_PATH, file_name) + '.bin'
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+ local_filename = MODELS_CACHE_PATH / file_name + '.bin'
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first_byte = path.getsize(local_filename) if path.exists(local_filename) else 0
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@@ -110,25 +110,25 @@ def download_file(download_url, file_name, file_size):
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return local_filename
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-def pull(model, *args, **kwargs):
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- if path.exists(model):
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+def pull(model_name, *args, **kwargs):
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+ if path.exists(model_name):
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# a file on the filesystem is being specified
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- return model
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+ return model_name
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# check the remote model location and see if it needs to be downloaded
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- url = model
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+ url = model_name
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file_name = ""
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if not validators.url(url) and not url.startswith('huggingface.co'):
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- url = get_url_from_directory(model)
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- file_name = model
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+ url = get_url_from_directory(model_name)
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+ file_name = model_name
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if not (url.startswith('http://') or url.startswith('https://')):
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url = f'https://{url}'
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if not validators.url(url):
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- if model in models(MODELS_CACHE_PATH):
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+ if model_name in models(MODELS_CACHE_PATH):
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# the model is already downloaded, and specified by name
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- return model
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- raise Exception(f'Unknown model {model}')
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+ return model_name
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+ raise Exception(f'Unknown model {model_name}')
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local_filename = download_from_repo(url, file_name)
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