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NeMo_Canary / examples /nlp /language_modeling

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conf
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tuning
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bert_pretraining.py
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convert_weights_to_nemo1.0.py
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get_wkt2.sh
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mamba_change_num_partition.py
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megatron_bart_pretraining.py
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megatron_bert_pretraining.py
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megatron_change_num_partitions.py
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megatron_ckpt_to_nemo.py
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megatron_export.py
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megatron_gpt_distillation.py
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megatron_gpt_drop_layers.py
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megatron_gpt_eval.py
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megatron_gpt_mcore_batch_eval.py
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megatron_gpt_pretraining.py
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megatron_gpt_prune.py
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megatron_gpt_ptq.py
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megatron_gpt_test.py
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megatron_gpt_validate.py
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megatron_griffin_finetuning.py
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megatron_griffin_generate.py
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megatron_lm_ckpt_to_nemo.py
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megatron_mamba_eval.py
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megatron_retro_cal_shape.py
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megatron_retro_eval.py
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megatron_retro_eval_legacy.py
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megatron_retro_fine_tune.py
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megatron_retro_mutransfer_pretrain.py
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megatron_retro_pretraining.py
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megatron_retro_pretraining_legacy.py
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megatron_retro_qatask_eval.py
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megatron_t5_eval.py
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megatron_t5_lm_adaptation_finetune.py
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megatron_t5_pretraining.py
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megatron_t5_seq2seq_eval.py
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megatron_t5_seq2seq_finetune.py
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transformer_lm.py
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upcycle_dense_to_moe.py
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