bridge.recipes.exaone.h100.exaone_moe#
K-EXAONE MoE H100 training recipes.
Module Contents#
Functions#
Build a balanced pipeline layout for K-EXAONE 2.0. |
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Return a pre-training config for K-EXAONE 2.0 750B-A37B MoE. |
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Return a full SFT config for K-EXAONE 2.0 750B-A37B MoE. |
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Return a PEFT config for K-EXAONE 2.0 750B-A37B MoE. |
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Return a pre-training config for K-EXAONE 236B-A23B MoE. |
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Return a full SFT config for K-EXAONE 236B-A23B MoE. |
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Return a PEFT config for K-EXAONE 236B-A23B MoE. |
Data#
API#
- bridge.recipes.exaone.h100.exaone_moe._HF_PATH#
‘LGAI-EXAONE/K-EXAONE-236B-A23B’
- bridge.recipes.exaone.h100.exaone_moe._HF_PATH_2_0#
‘LGAI-EXAONE/K-EXAONE-2.0-750B-A37B’
- bridge.recipes.exaone.h100.exaone_moe._K_EXAONE_2_0_NUM_LAYERS#
78
- bridge.recipes.exaone.h100.exaone_moe._K_EXAONE_2_0_MTP_NUM_LAYERS#
4
- bridge.recipes.exaone.h100.exaone_moe.get_k_exaone_2_0_pipeline_layout(
- pp_size: int,
- vp_size: int | None,
Build a balanced pipeline layout for K-EXAONE 2.0.
- bridge.recipes.exaone.h100.exaone_moe._set_optimizer_precision(
- cfg: megatron.bridge.training.config.ConfigContainer,
- bridge.recipes.exaone.h100.exaone_moe._apply_exaone_moe_common(
- cfg: megatron.bridge.training.config.ConfigContainer,
- *,
- hf_path: str = _HF_PATH,
- bridge.recipes.exaone.h100.exaone_moe._apply_k_exaone_2_0_topology(
- cfg: megatron.bridge.training.config.ConfigContainer,
- *,
- pipeline_model_parallel_size: int,
- expert_model_parallel_size: int,
- bridge.recipes.exaone.h100.exaone_moe.exaone_moe_2_0_750b_a37_pretrain_512gpu_h100_bf16_config() megatron.bridge.training.config.ConfigContainer#
Return a pre-training config for K-EXAONE 2.0 750B-A37B MoE.
- bridge.recipes.exaone.h100.exaone_moe.exaone_moe_2_0_750b_a37_sft_512gpu_h100_bf16_config() megatron.bridge.training.config.ConfigContainer#
Return a full SFT config for K-EXAONE 2.0 750B-A37B MoE.
- bridge.recipes.exaone.h100.exaone_moe.exaone_moe_2_0_750b_a37_peft_128gpu_h100_bf16_config(
- peft_scheme: str | megatron.bridge.peft.base.PEFT = 'lora',
Return a PEFT config for K-EXAONE 2.0 750B-A37B MoE.
- bridge.recipes.exaone.h100.exaone_moe.exaone_moe_236b_a23b_pretrain_64gpu_h100_bf16_config() megatron.bridge.training.config.ConfigContainer#
Return a pre-training config for K-EXAONE 236B-A23B MoE.
- bridge.recipes.exaone.h100.exaone_moe.exaone_moe_236b_a23b_sft_64gpu_h100_bf16_config() megatron.bridge.training.config.ConfigContainer#
Return a full SFT config for K-EXAONE 236B-A23B MoE.
- bridge.recipes.exaone.h100.exaone_moe.exaone_moe_236b_a23b_peft_16gpu_h100_bf16_config(
- peft_scheme: str | megatron.bridge.peft.base.PEFT = 'lora',
Return a PEFT config for K-EXAONE 236B-A23B MoE.
- bridge.recipes.exaone.h100.exaone_moe.__all__#
[‘exaone_moe_2_0_750b_a37_peft_128gpu_h100_bf16_config’, ‘exaone_moe_2_0_750b_a37_pretrain_512gpu_h1…