vbatts/llama.cpp
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ggml-quants : 1.625 bpw ternary packing for BitNet 1.58b

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This commit is contained in:
Francis Couture-Harpin 2024-06-19 12:21:08 -04:00
parent ac146628e4
commit bd807499f7
11 changed files with 594 additions and 4 deletions
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6
gguf-py/gguf/constants.py
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@ -1023,6 +1023,8 @@ class GGMLQuantizationType(IntEnum):
F64 = 28
IQ1_M = 29
BF16 = 30
Q2_2 = 31
Q1_3 = 32
# TODO: add GGMLFileType from ggml_ftype in ggml.h
@ -1064,6 +1066,8 @@ class LlamaFileType(IntEnum):
MOSTLY_IQ4_XS = 30 # except 1d tensors
MOSTLY_IQ1_M = 31 # except 1d tensors
MOSTLY_BF16 = 32 # except 1d tensors
MOSTLY_Q2_2 = 33 # except 1d tensors
MOSTLY_Q1_3 = 34 # except 1d tensors
GUESSED = 1024 # not specified in the model file
@ -1137,6 +1141,8 @@ GGML_QUANT_SIZES: dict[GGMLQuantizationType, tuple[int, int]] = {
GGMLQuantizationType.F64: (1, 8),
GGMLQuantizationType.IQ1_M: (256, QK_K // 8 + QK_K // 16 + QK_K // 32),
GGMLQuantizationType.BF16: (1, 2),
GGMLQuantizationType.Q2_2: (32, 8),
GGMLQuantizationType.Q1_3: (64, 12 + 1),
}