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Specify utf-8 encoding for model metadata file open (#5125)
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@ -35,7 +35,7 @@ def get_model_metadata(model):
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path = Path(f'{shared.args.model_dir}/{model}/config.json')
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if path.exists():
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hf_metadata = json.loads(open(path, 'r').read())
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hf_metadata = json.loads(open(path, 'r', encoding='utf-8').read())
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else:
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hf_metadata = None
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@ -78,7 +78,7 @@ def get_model_metadata(model):
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else:
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# Transformers metadata
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if hf_metadata is not None:
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metadata = json.loads(open(path, 'r').read())
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metadata = json.loads(open(path, 'r', encoding='utf-8').read())
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if 'max_position_embeddings' in metadata:
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model_settings['truncation_length'] = metadata['max_position_embeddings']
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model_settings['max_seq_len'] = metadata['max_position_embeddings']
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@ -101,7 +101,7 @@ def get_model_metadata(model):
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# Read AutoGPTQ metadata
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path = Path(f'{shared.args.model_dir}/{model}/quantize_config.json')
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if path.exists():
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metadata = json.loads(open(path, 'r').read())
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metadata = json.loads(open(path, 'r', encoding='utf-8').read())
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if 'bits' in metadata:
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model_settings['wbits'] = metadata['bits']
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if 'group_size' in metadata:
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@ -112,7 +112,7 @@ def get_model_metadata(model):
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# Try to find the Jinja instruct template
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path = Path(f'{shared.args.model_dir}/{model}') / 'tokenizer_config.json'
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if path.exists():
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metadata = json.loads(open(path, 'r').read())
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metadata = json.loads(open(path, 'r', encoding='utf-8').read())
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if 'chat_template' in metadata:
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template = metadata['chat_template']
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for k in ['eos_token', 'bos_token']:
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