bridge.recipes.exaone.h100.exaone45#

EXAONE 4.5 VL H100 training recipes.

Module Contents#

Functions#

_set_optimizer_precision

_apply_exaone45_common

exaone45_vl_33b_sft_16gpu_h100_bf16_config

Return a full SFT config for EXAONE 4.5 VL 33B.

exaone45_vl_33b_peft_4gpu_h100_bf16_config

Return a PEFT config for EXAONE 4.5 VL 33B.

Data#

API#

bridge.recipes.exaone.h100.exaone45._HF_PATH#

‘LGAI-EXAONE/EXAONE-4.5-33B’

bridge.recipes.exaone.h100.exaone45._set_optimizer_precision(
cfg: megatron.bridge.training.config.ConfigContainer,
) None#
bridge.recipes.exaone.h100.exaone45._apply_exaone45_common(
cfg: megatron.bridge.training.config.ConfigContainer,
) None#
bridge.recipes.exaone.h100.exaone45.exaone45_vl_33b_sft_16gpu_h100_bf16_config() megatron.bridge.training.config.ConfigContainer#

Return a full SFT config for EXAONE 4.5 VL 33B.

bridge.recipes.exaone.h100.exaone45.exaone45_vl_33b_peft_4gpu_h100_bf16_config(
peft_scheme: str | megatron.bridge.peft.base.PEFT = 'lora',
) megatron.bridge.training.config.ConfigContainer#

Return a PEFT config for EXAONE 4.5 VL 33B.

bridge.recipes.exaone.h100.exaone45.__all__#

[‘exaone45_vl_33b_peft_4gpu_h100_bf16_config’, ‘exaone45_vl_33b_sft_16gpu_h100_bf16_config’]