Minor types cleanups.
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084dd216cd
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2 changed files with 4 additions and 4 deletions
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@ -113,7 +113,7 @@ gguf_writer.add_file_type(ftype)
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print("gguf: get tokenizer metadata")
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print("gguf: get tokenizer metadata")
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tokens: List[str] = []
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tokens: List[bytearray] = []
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scores: List[float] = []
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scores: List[float] = []
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toktypes: List[int] = []
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toktypes: List[int] = []
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merges: List[str] = []
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merges: List[str] = []
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@ -199,7 +199,7 @@ head_dim = hparams["hidden_size"] // n_head
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print("gguf: get tensor metadata")
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print("gguf: get tensor metadata")
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if num_parts == 0:
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if num_parts == 0:
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part_names = ("pytorch_model.bin",)
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part_names = iter(("pytorch_model.bin",))
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else:
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else:
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part_names = (
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part_names = (
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f"pytorch_model-{n:05}-of-{num_parts:05}.bin" for n in range(1, num_parts + 1)
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f"pytorch_model-{n:05}-of-{num_parts:05}.bin" for n in range(1, num_parts + 1)
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@ -9,7 +9,7 @@ import json
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import numpy as np
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import numpy as np
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import torch
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import torch
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from typing import Any, List, Optional
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from typing import Any, List, Optional, TypeAlias
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from pathlib import Path
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from pathlib import Path
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from sentencepiece import SentencePieceProcessor
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from sentencepiece import SentencePieceProcessor
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@ -254,7 +254,7 @@ tensor_map = gguf.get_tensor_name_map(ARCH,block_count)
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print("gguf: get tensor metadata")
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print("gguf: get tensor metadata")
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if num_parts == 0:
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if num_parts == 0:
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part_names = ("pytorch_model.bin",)
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part_names = iter(("pytorch_model.bin",))
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else:
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else:
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part_names = (
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part_names = (
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f"pytorch_model-{n:05}-of-{num_parts:05}.bin" for n in range(1, num_parts + 1)
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f"pytorch_model-{n:05}-of-{num_parts:05}.bin" for n in range(1, num_parts + 1)
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