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Model downloader: download only fp16 if both fp16 and GGUF are present
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@ -127,10 +127,23 @@ class ModelDownloader:
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if classifications[i] in ['pytorch', 'pt']:
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links.pop(i)
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# For GGUF, try to download only the Q4_K_M if no specific file is specified.
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# If not present, exclude all GGUFs, as that's like a repository with both
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# GGUF and fp16 files.
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if has_gguf and specific_file is None:
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has_q4km = False
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for i in range(len(classifications) - 1, -1, -1):
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if 'q4_k_m' not in links[i].lower():
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links.pop(i)
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if 'q4_k_m' in links[i].lower():
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has_q4km = True
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if has_q4km:
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for i in range(len(classifications) - 1, -1, -1):
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if 'q4_k_m' in links[i].lower():
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links.pop(i)
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else:
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for i in range(len(classifications) - 1, -1, -1):
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if links[i].lower().endswith('.gguf'):
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links.pop(i)
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is_llamacpp = has_gguf and specific_file is not None
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return links, sha256, is_lora, is_llamacpp
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