vbatts/llama.cpp
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refactor: Apply consistent naming conventions

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teleprint-me 2024-05-23 17:17:22 -04:00
parent 9ba6b92c2d
commit 0ccf579242
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1 changed files with 19 additions and 11 deletions
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gguf-py/gguf/constants.py
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@ -868,6 +868,14 @@ class LlamaFileType(IntEnum):
GUESSED = 1024 # not specified in the model file
LLAMA_FILE_TYPE_NAMES: dict[LlamaFileType, str] = {
LlamaFileType.ALL_F32 : "F32",
LlamaFileType.MOSTLY_F16 : "F16",
LlamaFileType.MOSTLY_BF16 : "BF16",
LlamaFileType.MOSTLY_Q8_0 : "Q8_0",
}
class GGUFEndian(IntEnum):
LITTLE = 0
BIG = 1
@ -943,24 +951,24 @@ GGML_QUANT_SIZES: dict[GGMLQuantizationType, tuple[int, int]] = {
#
# Tokenizer Types
#
class VOCAB_TYPE(IntEnum):
class VocabType(IntEnum):
NON = auto() # For models without vocab
SPM = auto() # SentencePiece LLaMa tokenizer
BPE = auto() # BytePair GPT-2 tokenizer
WPM = auto() # WordPiece BERT tokenizer
VOCAB_TYPE_NAMES: dict[VOCAB_TYPE, str] = {
VOCAB_TYPE.SPM: "SPM",
VOCAB_TYPE.BPE: "BPE",
VOCAB_TYPE.WPM: "WPM",
VOCAB_TYPE_NAMES: dict[VocabType, str] = {
VocabType.SPM: "SPM",
VocabType.BPE: "BPE",
VocabType.WPM: "WPM",
}
#
# Model File Types
#
class MODEL_FILE_TYPE(IntEnum):
class ModelFileType(IntEnum):
UNK = auto() # Unsupported file type
SFT = auto() # SafeTensor file type
PTH = auto() # PyTorch file type
@ -968,11 +976,11 @@ class MODEL_FILE_TYPE(IntEnum):
PT = auto() # PyTorch file type
MODEL_FILE_TYPE_NAMES: dict[MODEL_FILE_TYPE, str] = {
MODEL_FILE_TYPE.PT: "pt",
MODEL_FILE_TYPE.PTH: "pth",
MODEL_FILE_TYPE.BIN: "bin",
MODEL_FILE_TYPE.SFT: "safetensors",
MODEL_FILE_TYPE_NAMES: dict[ModelFileType, str] = {
ModelFileType.PT: "pt",
ModelFileType.PTH: "pth",
ModelFileType.BIN: "bin",
ModelFileType.SFT: "safetensors",
}
#