mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-12-30 16:07:17 +01:00
70 lines
2.9 KiB
Python
70 lines
2.9 KiB
Python
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from __future__ import annotations
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from typing import Literal
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def fill_templated_filename(filename: str, output_type: str | None) -> str:
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# Given a file name fill in any type templates e.g. 'some-model-name.{ftype}.gguf'
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ftype_lowercase: str = output_type.lower() if output_type is not None else ""
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ftype_uppercase: str = output_type.upper() if output_type is not None else ""
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return filename.format(ftype_lowercase,
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outtype=ftype_lowercase, ftype=ftype_lowercase,
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OUTTYPE=ftype_uppercase, FTYPE=ftype_uppercase)
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def model_weight_count_rounded_notation(model_params_count: int, min_digits: int = 2) -> str:
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if model_params_count > 1e12 :
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# Trillions Of Parameters
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scaled_model_params = model_params_count * 1e-12
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scale_suffix = "T"
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elif model_params_count > 1e9 :
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# Billions Of Parameters
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scaled_model_params = model_params_count * 1e-9
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scale_suffix = "B"
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elif model_params_count > 1e6 :
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# Millions Of Parameters
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scaled_model_params = model_params_count * 1e-6
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scale_suffix = "M"
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else:
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# Thousands Of Parameters
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scaled_model_params = model_params_count * 1e-3
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scale_suffix = "K"
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fix = max(min_digits - len(str(round(scaled_model_params)).lstrip('0')), 0)
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return f"{scaled_model_params:.{fix}f}{scale_suffix}"
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def size_label(total_params: int, shared_params: int, expert_params: int, expert_count: int) -> str:
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if expert_count > 0:
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pretty_size = model_weight_count_rounded_notation(abs(shared_params) + abs(expert_params), min_digits=2)
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size_class = f"{expert_count}x{pretty_size}"
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else:
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size_class = model_weight_count_rounded_notation(abs(total_params), min_digits=2)
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return size_class
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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:
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# Reference: https://github.com/ggerganov/ggml/blob/master/docs/gguf.md#gguf-naming-convention
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if base_name is not None:
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name = base_name.strip().title().replace(' ', '-').replace('/', '-')
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elif model_name is not None:
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name = model_name.strip().title().replace(' ', '-').replace('/', '-')
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else:
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name = "ggml-model"
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parameters = f"-{size_label}" if size_label is not None else ""
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finetune = f"-{finetune_string.strip().title().replace(' ', '-')}" if finetune_string is not None else ""
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version = f"-{version_string.strip().replace(' ', '-')}" if version_string is not None else ""
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encoding = f"-{output_type.strip().replace(' ', '-').upper()}" if output_type is not None else ""
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kind = f"-{model_type.strip().replace(' ', '-')}" if model_type is not None else ""
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return f"{name}{parameters}{finetune}{version}{encoding}{kind}"
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