mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2025-10-30 08:42:00 +00:00
70 lines
2.9 KiB
Python
70 lines
2.9 KiB
Python
from __future__ import annotations
|
|
|
|
from typing import Literal
|
|
|
|
|
|
def fill_templated_filename(filename: str, output_type: str | None) -> str:
|
|
# Given a file name fill in any type templates e.g. 'some-model-name.{ftype}.gguf'
|
|
ftype_lowercase: str = output_type.lower() if output_type is not None else ""
|
|
ftype_uppercase: str = output_type.upper() if output_type is not None else ""
|
|
return filename.format(ftype_lowercase,
|
|
outtype=ftype_lowercase, ftype=ftype_lowercase,
|
|
OUTTYPE=ftype_uppercase, FTYPE=ftype_uppercase)
|
|
|
|
|
|
def model_weight_count_rounded_notation(model_params_count: int, min_digits: int = 2) -> str:
|
|
if model_params_count > 1e12 :
|
|
# Trillions Of Parameters
|
|
scaled_model_params = model_params_count * 1e-12
|
|
scale_suffix = "T"
|
|
elif model_params_count > 1e9 :
|
|
# Billions Of Parameters
|
|
scaled_model_params = model_params_count * 1e-9
|
|
scale_suffix = "B"
|
|
elif model_params_count > 1e6 :
|
|
# Millions Of Parameters
|
|
scaled_model_params = model_params_count * 1e-6
|
|
scale_suffix = "M"
|
|
else:
|
|
# Thousands Of Parameters
|
|
scaled_model_params = model_params_count * 1e-3
|
|
scale_suffix = "K"
|
|
|
|
fix = max(min_digits - len(str(round(scaled_model_params)).lstrip('0')), 0)
|
|
|
|
return f"{scaled_model_params:.{fix}f}{scale_suffix}"
|
|
|
|
|
|
def size_label(total_params: int, shared_params: int, expert_params: int, expert_count: int) -> str:
|
|
|
|
if expert_count > 0:
|
|
pretty_size = model_weight_count_rounded_notation(abs(shared_params) + abs(expert_params), min_digits=2)
|
|
size_class = f"{expert_count}x{pretty_size}"
|
|
else:
|
|
size_class = model_weight_count_rounded_notation(abs(total_params), min_digits=2)
|
|
|
|
return size_class
|
|
|
|
|
|
def naming_convention(model_name: str | None, base_name: str | None, finetune_string: str | None, version_string: str | None, size_label: str | None, output_type: str | None, model_type: Literal['vocab', 'LoRA'] | None = None) -> str:
|
|
# Reference: https://github.com/ggml-org/ggml/blob/master/docs/gguf.md#gguf-naming-convention
|
|
|
|
if base_name is not None:
|
|
name = base_name.strip().replace(' ', '-').replace('/', '-')
|
|
elif model_name is not None:
|
|
name = model_name.strip().replace(' ', '-').replace('/', '-')
|
|
else:
|
|
name = "ggml-model"
|
|
|
|
parameters = f"-{size_label}" if size_label is not None else ""
|
|
|
|
finetune = f"-{finetune_string.strip().replace(' ', '-')}" if finetune_string is not None else ""
|
|
|
|
version = f"-{version_string.strip().replace(' ', '-')}" if version_string is not None else ""
|
|
|
|
encoding = f"-{output_type.strip().replace(' ', '-').upper()}" if output_type is not None else ""
|
|
|
|
kind = f"-{model_type.strip().replace(' ', '-')}" if model_type is not None else ""
|
|
|
|
return f"{name}{parameters}{finetune}{version}{encoding}{kind}"
|