chore: import upstream snapshot with attribution

This commit is contained in:
wehub-resource-sync
2026-07-13 13:39:21 +08:00
commit bc34f6df14
1149 changed files with 328099 additions and 0 deletions
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from enum import Enum
from typing import Type
from dataclasses import dataclass
from collections import OrderedDict
from FlagEmbedding.abc.inference import AbsReranker
from FlagEmbedding.inference.reranker import FlagReranker, FlagLLMReranker, LayerWiseFlagLLMReranker, LightWeightFlagLLMReranker
class RerankerModelClass(Enum):
ENCODER_ONLY_BASE = "encoder-only-base"
DECODER_ONLY_BASE = "decoder-only-base"
DECODER_ONLY_LAYERWISE = "decoder-only-layerwise"
DECODER_ONLY_LIGHTWEIGHT = "decoder-only-lightweight"
RERANKER_CLASS_MAPPING = OrderedDict([
(RerankerModelClass.ENCODER_ONLY_BASE, FlagReranker),
(RerankerModelClass.DECODER_ONLY_BASE, FlagLLMReranker),
(RerankerModelClass.DECODER_ONLY_LAYERWISE, LayerWiseFlagLLMReranker),
(RerankerModelClass.DECODER_ONLY_LIGHTWEIGHT, LightWeightFlagLLMReranker)
])
@dataclass
class RerankerConfig:
model_class: Type[AbsReranker]
trust_remote_code: bool = False
AUTO_RERANKER_MAPPING = OrderedDict([
# ============================== BGE ==============================
(
"bge-reranker-base",
RerankerConfig(FlagReranker)
),
(
"bge-reranker-large",
RerankerConfig(FlagReranker)
),
(
"bge-reranker-v2-m3",
RerankerConfig(FlagReranker)
),
(
"bge-reranker-v2-gemma",
RerankerConfig(FlagLLMReranker)
),
(
"bge-reranker-v2-minicpm-layerwise",
RerankerConfig(LayerWiseFlagLLMReranker)
),
(
"bge-reranker-v2.5-gemma2-lightweight",
RerankerConfig(LightWeightFlagLLMReranker)
),
# others
(
"jinaai/jina-reranker-v2-base-multilingual",
RerankerConfig(FlagReranker)
),
(
"Alibaba-NLP/gte-multilingual-reranker-base",
RerankerConfig(FlagReranker)
),
(
"maidalun1020/bce-reranker-base_v1",
RerankerConfig(FlagReranker)
),
(
"jinaai/jina-reranker-v1-turbo-en",
RerankerConfig(FlagReranker)
),
# TODO: Add more models.
])