bridge.models.bailing.bailing_moe2_bridge#
Megatron Bridge for Ling MoE2 Model.
This module provides the bridge implementation for converting between HuggingFace Bailing MoE2 models and Megatron-Core format.
Supported models:
inclusionAI/Ling-mini-base-2.0-5T
inclusionAI/Ling-mini-base-2.0-10T
inclusionAI/Ling-mini-base-2.0-15T
inclusionAI/Ling-mini-base-2.0-20T
inclusionAI/Ling-mini-base-2.0
inclusionAI/Ling-mini-2.0
inclusionAI/Ling-flash-base-2.0
inclusionAI/Ling-flash-2.0
inclusionAI/Ling-1T
Module Contents#
Classes#
Megatron Bridge for Ling MoE V2 Model |
Data#
API#
- bridge.models.bailing.bailing_moe2_bridge.logger#
‘getLogger(…)’
- class bridge.models.bailing.bailing_moe2_bridge.BailingMoeV2Bridge#
Bases:
megatron.bridge.models.conversion.model_bridge.MegatronModelBridgeMegatron Bridge for Ling MoE V2 Model
.. rubric:: Example
from megatron.bridge import AutoBridge bridge = AutoBridge.from_hf_pretrained(“inclusionAI/Ling-mini-2.0”) model_config = bridge.get_model_config()
- MODEL_CONFIG_CLASS#
None
- USE_MODEL_CONFIG_FOR_CONVERSION#
True
- hf_config_to_model_config_kwargs(
- hf_config: transformers.PretrainedConfig,
Convert a Hugging Face Ling MoE V2 config to builder config kwargs.
The builder’s default MoE layer spec already uses the GPT decoder block spec, which honors the dense-first
moe_layer_freq.
- hf_config_to_provider_kwargs(
- hf_config: transformers.PretrainedConfig,
Adapt the canonical builder mapping to the deprecated provider path.
- mapping_registry() megatron.bridge.models.conversion.mapping_registry.MegatronMappingRegistry#