root commited on
Commit ·
f43289b
1
Parent(s): a2b4eb3
Fix handle_safetensor
Browse files- handle_safetensors.py +9 -2
handle_safetensors.py
CHANGED
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@@ -3,11 +3,10 @@ from safetensors.torch import safe_open
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import os
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import torch
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import argparse
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from transformers import AutoModelForCausalLM
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def save_model_at_once(model, save_dir):
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import pdb
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pdb.set_trace()
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tensors = {k:v for k, v in model.state_dict().items()}
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path = os.path.join(save_dir, "model.safetensors")
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save_file(tensors, path)
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@@ -47,12 +46,20 @@ if __name__ == "__main__":
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args = parser.parse_args()
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model = AutoModelForCausalLM.from_pretrained(args.model_path)
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print("Model loaded")
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if not os.path.exists(args.save_dir):
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from pathlib import Path
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Path(args.save_dir).mkdir(parents=True, exist_ok=True)
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load_path = args.save_dir
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if args.n_file == 1:
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save_model_at_once(model, args.save_dir)
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import os
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import torch
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import argparse
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import json
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from transformers import AutoModelForCausalLM
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def save_model_at_once(model, save_dir):
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tensors = {k:v for k, v in model.state_dict().items()}
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path = os.path.join(save_dir, "model.safetensors")
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save_file(tensors, path)
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args = parser.parse_args()
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model = AutoModelForCausalLM.from_pretrained(args.model_path)
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print("Model loaded")
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if not os.path.exists(args.save_dir):
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from pathlib import Path
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Path(args.save_dir).mkdir(parents=True, exist_ok=True)
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conf = dict(sorted(model.config.to_diff_dict().items(), key=lambda x: x[0]))
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del conf['architectures']
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del conf['model_type']
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conf['torch_dtype'] = "bfloat16"
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with open(os.path.join(args.save_dir, "config.json"), "w") as f:
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json.dump(conf, f, indent=2)
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load_path = args.save_dir
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if args.n_file == 1:
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save_model_at_once(model, args.save_dir)
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