gguf : add 64-bit support (GGUF v2) (#2821)
* gguf : bump version to 2 * gguf : add support for 64-bit (no backwards comp yet) * gguf : v1 backwards comp * gguf.py : bump GGUF version * gguf.py : uint64_t on all lengths, sizes and counts, enums still uint32_t * gguf.py : string lengths uint32_t * gguf : update all counts to 64-bit * gguf.py : string len uint64_t and n_dims uint32_t * gguf : fix typo * llama.cpp : print gguf version --------- Co-authored-by: klosax <131523366+klosax@users.noreply.github.com>
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5 changed files with 164 additions and 27 deletions
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@ -13,7 +13,7 @@ from typing import Any, IO, List, Optional
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#
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GGUF_MAGIC = 0x46554747
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GGUF_VERSION = 1
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GGUF_VERSION = 2
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GGUF_DEFAULT_ALIGNMENT = 32
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# general
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@ -365,6 +365,9 @@ class GGUFValueType(IntEnum):
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BOOL = 7
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STRING = 8
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ARRAY = 9
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UINT64 = 10
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INT64 = 11
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FLOAT64 = 12
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@staticmethod
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def get_type(val):
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@ -378,6 +381,7 @@ class GGUFValueType(IntEnum):
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return GGUFValueType.BOOL
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elif isinstance(val, int):
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return GGUFValueType.INT32
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# TODO: need help with 64-bit types in Python
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else:
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print("Unknown type: "+str(type(val)))
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sys.exit()
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@ -400,8 +404,8 @@ class GGUFWriter:
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def write_header_to_file(self):
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self.fout.write(struct.pack("<I", GGUF_MAGIC))
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self.fout.write(struct.pack("<I", GGUF_VERSION))
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self.fout.write(struct.pack("<I", self.ti_data_count))
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self.fout.write(struct.pack("<I", self.kv_data_count))
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self.fout.write(struct.pack("<Q", self.ti_data_count))
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self.fout.write(struct.pack("<Q", self.kv_data_count))
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self.flush()
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# print("tensors " + str(self.ti_data_count) + " kv " + str(self.kv_data_count))
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@ -444,6 +448,18 @@ class GGUFWriter:
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self.add_key(key)
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self.add_val(val, GGUFValueType.FLOAT32)
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def add_uint64(self, key: str, val: int):
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self.add_key(key)
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self.add_val(val, GGUFValueType.UINT64)
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def add_int64(self, key: str, val: int):
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self.add_key(key)
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self.add_val(val, GGUFValueType.INT64)
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def add_float64(self, key: str, val: float):
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self.add_key(key)
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self.add_val(val, GGUFValueType.FLOAT64)
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def add_bool(self, key: str, val: bool):
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self.add_key(key)
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self.add_val(val, GGUFValueType.BOOL)
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@ -483,17 +499,23 @@ class GGUFWriter:
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self.kv_data += struct.pack("<i", val)
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elif vtype == GGUFValueType.FLOAT32:
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self.kv_data += struct.pack("<f", val)
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elif vtype == GGUFValueType.UINT64:
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self.kv_data += struct.pack("<Q", val)
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elif vtype == GGUFValueType.INT64:
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self.kv_data += struct.pack("<q", val)
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elif vtype == GGUFValueType.FLOAT64:
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self.kv_data += struct.pack("<d", val)
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elif vtype == GGUFValueType.BOOL:
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self.kv_data += struct.pack("?", val)
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elif vtype == GGUFValueType.STRING:
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encoded_val = val.encode("utf8") if isinstance(val, str) else val
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self.kv_data += struct.pack("<I", len(encoded_val))
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self.kv_data += struct.pack("<Q", len(encoded_val))
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self.kv_data += encoded_val
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elif vtype == GGUFValueType.ARRAY:
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ltype = set([GGUFValueType.get_type(item) for item in val])
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assert len(ltype) == 1, "All items in a GGUF array should be of the same type"
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self.kv_data += struct.pack("<I", list(ltype)[0])
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self.kv_data += struct.pack("<I", len(val))
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self.kv_data += struct.pack("<Q", len(val))
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for item in val:
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self.add_val(item, add_vtype=False)
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else:
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@ -507,12 +529,12 @@ class GGUFWriter:
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assert raw_dtype is not None or tensor_dtype in (np.float32, np.float16), "Only F32 and F16 tensors are supported for now"
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encoded_name = name.encode("utf8")
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self.ti_data += struct.pack("<I", len(encoded_name))
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self.ti_data += struct.pack("<Q", len(encoded_name))
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self.ti_data += encoded_name
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n_dims = len(tensor_shape)
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self.ti_data += struct.pack("<I", n_dims)
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for i in range(n_dims):
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self.ti_data += struct.pack("<I", tensor_shape[n_dims - 1 - i])
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self.ti_data += struct.pack("<Q", tensor_shape[n_dims - 1 - i])
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if raw_dtype is None:
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dtype = GGMLQuantizationType.F32 if tensor_dtype == np.float32 else GGMLQuantizationType.F16
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else:
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