[BUG]Get an AtrributeError when trying to convert llama3-8B model from HF format to mcore format

Describe the bug Get an AtrributeError when trying to convert llama3-8B model from HF format to mcore format, the error is below:

AttributeError: 'Tokenizer' object has no attribute 'vocab_size'

To Reproduce

I git clone https://github.com/meta-llama/llama3.git and use pip install -e . to install llama3-0.0.1 wheel following to llama_mistral.md;
I try to convert llama3-8B model downloading from https://huggingface.co/meta-llama/Meta-Llama-3-8B/tree/main into mcore format , and the script I use is below:
```
TP=8
```

PP=2

MODEL_SIZE=llama3-8B

HF_FORMAT_DIR=/workspace/model_weights/llama3-8b

MEGATRON_FORMAT_DIR=${HF_FORMAT_DIR}-tp${TP}-pp${PP}

TOKENIZER_MODEL=${HF_FORMAT_DIR}/original/tokenizer.model

python tools/checkpoint/convert.py \ --model-type GPT \ --loader llama_mistral \ --saver mcore \ --checkpoint-type hf \ --model-size ${MODEL_SIZE} \ --load-dir ${HF_FORMAT_DIR} \ --save-dir ${MEGATRON_FORMAT_DIR} \ --tokenizer-model ${TOKENIZER_MODEL} \ --target-tensor-parallel-size ${TP} \ --target-pipeline-parallel-size ${PP} \ --bf16


Stack trace/logs
```shell
Loaded loader_llama_mistral as the loader.
Loaded saver_mcore as the saver.
Starting saver...
Starting loader...
using world size: 1, data-parallel size: 1, context-parallel size: 1 tensor-model-parallel size: 1, pipeline-model-parallel size: 1 
WARNING: Setting args.overlap_p2p_comm to False since non-interleaved schedule does not support overlapping p2p communication
using torch.float32 for parameters ...
------------------------ arguments ------------------------
  accumulate_allreduce_grads_in_fp32 .............. False
  adam_beta1 ...................................... 0.9
  adam_beta2 ...................................... 0.999
  adam_eps ........................................ 1e-08
  add_bias_linear ................................. False
  add_position_embedding .......................... False
  add_qkv_bias .................................... False
  adlr_autoresume ................................. False
  adlr_autoresume_interval ........................ 1000
  apply_layernorm_1p .............................. False
  apply_query_key_layer_scaling ................... False
  apply_residual_connection_post_layernorm ........ False
  apply_rope_fusion ............................... True
  async_save ...................................... None
  async_tensor_model_parallel_allreduce ........... False
  attention_dropout ............................... 0.1
  attention_softmax_in_fp32 ....................... False
  auto_detect_ckpt_format ......................... False
  barrier_with_L1_time ............................ True
  bert_binary_head ................................ True
  bert_embedder_type .............................. megatron
  bert_load ....................................... None
  bf16 ............................................ False
  bias_dropout_fusion ............................. False
  bias_gelu_fusion ................................ False
  bias_swiglu_fusion .............................. True
  biencoder_projection_dim ........................ 0
  biencoder_shared_query_context_model ............ False
  block_data_path ................................. None
  calculate_per_token_loss ........................ False
  check_for_nan_in_loss_and_grad .................. True
  check_weight_hash_across_dp_replicas_interval ... None
  ckpt_assume_constant_structure .................. False
  ckpt_fully_parallel_load ........................ False
  ckpt_fully_parallel_save ........................ False
  ckpt_step ....................................... None
  classes_fraction ................................ 1.0
  clip_grad ....................................... 1.0
  clone_scatter_output_in_embedding ............... True
  consumed_train_samples .......................... 0
  consumed_valid_samples .......................... 0
  context_parallel_size ........................... 1
  create_attention_mask_in_dataloader ............. True
  cross_entropy_loss_fusion ....................... False
  data_cache_path ................................. None
  data_parallel_random_init ....................... False
  data_parallel_size .............................. 1
  data_path ....................................... None
  data_per_class_fraction ......................... 1.0
  data_sharding ................................... True
  dataloader_type ................................. single
  ddp_average_in_collective ....................... False
  ddp_bucket_size ................................. None
  decoder_num_layers .............................. None
  decoder_seq_length .............................. None
  decoupled_lr .................................... None
  decoupled_min_lr ................................ None
  delay_grad_reduce ............................... True
  delay_param_gather .............................. False
  deprecated_use_mcore_models ..................... False
  deterministic_mode .............................. False
  dino_bottleneck_size ............................ 256
  dino_freeze_last_layer .......................... 1
  dino_head_hidden_size ........................... 2048
  dino_local_crops_number ......................... 10
  dino_local_img_size ............................. 96
  dino_norm_last_layer ............................ False
  dino_teacher_temp ............................... 0.07
  dino_warmup_teacher_temp ........................ 0.04
  dino_warmup_teacher_temp_epochs ................. 30
  disable_straggler_on_startup .................... False
  dist_ckpt_format ................................ torch_dist
  distribute_saved_activations .................... False
  distributed_backend ............................. nccl
  distributed_timeout_minutes ..................... 10
  embedding_path .................................. None
  empty_unused_memory_level ....................... 0
  enable_one_logger ............................... False
  encoder_num_layers .............................. 32
  encoder_seq_length .............................. 4096
  end_weight_decay ................................ 0.01
  eod_mask_loss ................................... False
  eval_interval ................................... 1000
  eval_iters ...................................... 100
  evidence_data_path .............................. None
  exit_duration_in_mins ........................... None
  exit_interval ................................... None
  exit_on_missing_checkpoint ...................... False
  exit_signal_handler ............................. False
  expert_model_parallel_size ...................... 1
  ffn_hidden_size ................................. 14336
  finetune ........................................ False
  fp16 ............................................ False
  fp16_lm_cross_entropy ........................... False
  fp32_residual_connection ........................ False
  fp8 ............................................. None
  fp8_amax_compute_algo ........................... most_recent
  fp8_amax_history_len ............................ 1
  fp8_interval .................................... 1
  fp8_margin ...................................... 0
  fp8_wgrad ....................................... True
  global_batch_size ............................... 1024
  gradient_accumulation_fusion .................... True
  group_query_attention ........................... True
  head_lr_mult .................................... 1.0
  hidden_dropout .................................. 0.1
  hidden_size ..................................... 4096
  hybrid_attention_ratio .......................... 0.0
  hybrid_mlp_ratio ................................ 0.0
  hybrid_override_pattern ......................... None
  hysteresis ...................................... 2
  ict_head_size ................................... None
  ict_load ........................................ None
  img_h ........................................... 224
  img_w ........................................... 224
  indexer_batch_size .............................. 128
  indexer_log_interval ............................ 1000
  inference_batch_times_seqlen_threshold .......... 512
  init_method_std ................................. 0.02
  init_method_xavier_uniform ...................... False
  initial_loss_scale .............................. 4294967296
  iter_per_epoch .................................. 1250
  iteration ....................................... 1
  kv_channels ..................................... 128
  lazy_mpu_init ................................... None
  load ............................................ /workspace/model_weights/llama3-8b
  local_rank ...................................... None
  log_batch_size_to_tensorboard ................... False
  log_interval .................................... 100
  log_learning_rate_to_tensorboard ................ True
  log_loss_scale_to_tensorboard ................... True
  log_memory_to_tensorboard ....................... False
  log_num_zeros_in_grad ........................... False
  log_params_norm ................................. False
  log_progress .................................... False
  log_straggler ................................... False
  log_throughput .................................. False
  log_timers_to_tensorboard ....................... False
  log_validation_ppl_to_tensorboard ............... False
  log_world_size_to_tensorboard ................... False
  logging_level ................................... None
  loss_scale ...................................... None
  loss_scale_window ............................... 1000
  lr .............................................. None
  lr_decay_iters .................................. None
  lr_decay_samples ................................ None
  lr_decay_style .................................. linear
  lr_warmup_fraction .............................. None
  lr_warmup_init .................................. 0.0
  lr_warmup_iters ................................. 0
  lr_warmup_samples ............................... 0
  lr_wsd_decay_iters .............................. None
  lr_wsd_decay_samples ............................ None
  lr_wsd_decay_style .............................. exponential
  make_vocab_size_divisible_by .................... 128
  manual_gc ....................................... False
  manual_gc_eval .................................. True
  manual_gc_interval .............................. 0
  mask_factor ..................................... 1.0
  mask_prob ....................................... 0.15
  mask_type ....................................... random
  masked_softmax_fusion ........................... False
  max_position_embeddings ......................... 8192
  max_tokens_to_oom ............................... 12000
  merge_file ...................................... None
  micro_batch_size ................................ 1
  min_loss_scale .................................. 1.0
  min_lr .......................................... 0.0
  mmap_bin_files .................................. True
  mock_data ....................................... False
  moe_aux_loss_coeff .............................. 0.0
  moe_expert_capacity_factor ...................... None
  moe_extended_tp ................................. False
  moe_grouped_gemm ................................ False
  moe_input_jitter_eps ............................ None
  moe_layer_recompute ............................. False
  moe_pad_expert_input_to_capacity ................ False
  moe_per_layer_logging ........................... False
  moe_router_load_balancing_type .................. aux_loss
  moe_router_topk ................................. 2
  moe_token_dispatcher_type ....................... allgather
  moe_token_drop_policy ........................... probs
  moe_z_loss_coeff ................................ None
  nccl_communicator_config_path ................... None
  no_load_optim ................................... True
  no_load_rng ..................................... True
  no_persist_layer_norm ........................... False
  no_save_optim ................................... True
  no_save_rng ..................................... True
  norm_epsilon .................................... 1e-05
  normalization ................................... RMSNorm
  num_attention_heads ............................. 32
  num_channels .................................... 3
  num_classes ..................................... 1000
  num_dataset_builder_threads ..................... 1
  num_experts ..................................... None
  num_layers ...................................... 32
  num_layers_per_virtual_pipeline_stage ........... None
  num_query_groups ................................ 8
  num_workers ..................................... 2
  one_logger_entity ............................... hwinf_dcm
  one_logger_project .............................. e2e-tracking
  one_logger_run_name ............................. None
  onnx_safe ....................................... None
  openai_gelu ..................................... False
  optimizer ....................................... adam
  output_bert_embeddings .......................... False
  overlap_grad_reduce ............................. False
  overlap_p2p_comm ................................ False
  overlap_param_gather ............................ False
  override_opt_param_scheduler .................... False
  padded_vocab_size ............................... 128256
  params_dtype .................................... torch.float32
  patch_dim ....................................... 16
  perform_initialization .......................... False
  pipeline_model_parallel_size .................... 1
  pipeline_model_parallel_split_rank .............. None
  position_embedding_type ......................... rope
  pretrained_checkpoint ........................... None
  profile ......................................... False
  profile_ranks ................................... [0]
  profile_step_end ................................ 12
  profile_step_start .............................. 10
  qk_layernorm .................................... False
  query_in_block_prob ............................. 0.1
  rampup_batch_size ............................... None
  rank ............................................ 0
  recompute_granularity ........................... None
  recompute_method ................................ None
  recompute_num_layers ............................ None
  reset_attention_mask ............................ False
  reset_position_ids .............................. False
  retriever_report_topk_accuracies ................ []
  retriever_score_scaling ......................... False
  retriever_seq_length ............................ 256
  retro_add_retriever ............................. False
  retro_attention_gate ............................ 1
  retro_cyclic_train_iters ........................ None
  retro_encoder_attention_dropout ................. 0.1
  retro_encoder_hidden_dropout .................... 0.1
  retro_encoder_layers ............................ 2
  retro_num_neighbors ............................. 2
  retro_num_retrieved_chunks ...................... 2
  retro_project_dir ............................... None
  retro_verify_neighbor_count ..................... True
  rotary_base ..................................... 10000
  rotary_interleaved .............................. False
  rotary_percent .................................. 1.0
  rotary_seq_len_interpolation_factor ............. None
  sample_rate ..................................... 1.0
  save ............................................ None
  save_interval ................................... None
  scatter_gather_tensors_in_pipeline .............. True
  seed ............................................ 1234
  seq_length ...................................... 4096
  sequence_parallel ............................... False
  sgd_momentum .................................... 0.9
  short_seq_prob .................................. 0.1
  skip_train ...................................... False
  spec ............................................ None
  split ........................................... None
  squared_relu .................................... False
  standalone_embedding_stage ...................... False
  start_weight_decay .............................. 0.01
  straggler_ctrlr_port ............................ 65535
  straggler_minmax_count .......................... 1
  swiglu .......................................... True
  swin_backbone_type .............................. tiny
  tensor_model_parallel_size ...................... 1
  tensorboard_dir ................................. None
  tensorboard_log_interval ........................ 1
  tensorboard_queue_size .......................... 1000
  test_data_path .................................. None
  test_mode ....................................... False
  timing_log_level ................................ 0
  timing_log_option ............................... minmax
  titles_data_path ................................ None
  tokenizer_model ................................. /workspace/model_weights/llama3-8b/original/tokenizer.model
  tokenizer_type .................................. Llama3Tokenizer
  tp_comm_bulk_dgrad .............................. True
  tp_comm_bulk_wgrad .............................. True
  tp_comm_overlap ................................. False
  tp_comm_overlap_ag .............................. True
  tp_comm_overlap_cfg ............................. None
  tp_comm_overlap_rs .............................. True
  tp_comm_overlap_rs_dgrad ........................ False
  tp_comm_split_ag ................................ True
  tp_comm_split_rs ................................ True
  train_data_path ................................. None
  train_iters ..................................... None
  train_samples ................................... None
  transformer_impl ................................ transformer_engine
  transformer_pipeline_model_parallel_size ........ 1
  untie_embeddings_and_output_weights ............. True
  use_checkpoint_args ............................. False
  use_checkpoint_opt_param_scheduler .............. False
  use_cpu_initialization .......................... True
  use_dist_ckpt ................................... False
  use_distributed_optimizer ....................... False
  use_flash_attn .................................. False
  use_legacy_models ............................... False
  use_one_sent_docs ............................... False
  use_ring_exchange_p2p ........................... False
  use_rotary_position_embeddings .................. True
  use_tp_pp_dp_mapping ............................ False
  valid_data_path ................................. None
  variable_seq_lengths ............................ False
  virtual_pipeline_model_parallel_size ............ None
  vision_backbone_type ............................ vit
  vision_pretraining .............................. False
  vision_pretraining_type ......................... classify
  vocab_extra_ids ................................. 0
  vocab_file ...................................... None
  vocab_size ...................................... 128256
  wandb_exp_name .................................. 
  wandb_project ................................... 
  wandb_save_dir .................................. 
  weight_decay .................................... 0.01
  weight_decay_incr_style ......................... constant
  world_size ...................................... 1
  yaml_cfg ........................................ None
-------------------- end of arguments ---------------------
setting number of micro-batches to constant 1024
INFO:llama.tokenizer:Reloaded tiktoken model from /workspace/model_weights/llama3-8b/original/tokenizer.model
INFO:llama.tokenizer:#words: 128256 - BOS ID: 128000 - EOS ID: 128001
Traceback (most recent call last):
  File "/workspace/megatron/tools/checkpoint/convert.py", line 154, in <module>
Loader exited, exiting saver
    main()
  File "/workspace/megatron/tools/checkpoint/convert.py", line 147, in main
    loader.load_checkpoint(queue, args)
  File "/workspace/megatron/tools/checkpoint/loader_llama_mistral.py", line 663, in load_checkpoint
    _load_checkpoint(queue, args)
  File "/workspace/megatron/tools/checkpoint/loader_llama_mistral.py", line 563, in _load_checkpoint
    md.true_vocab_size = tokenizer.vocab_size
AttributeError: 'Tokenizer' object has no attribute 'vocab_size'

Environment (please complete the following information):

Megatron-LM commit ID: 86850db
Nvidia pytorch docker image: nvcr.io/nvidia/pytorch:24.06-py3

Additional Found: It seems that tools/checkpoint/convert.py would call the function from tools/checkpoint/loader_llama_mistral.py to load the HF format checkpoint, and when the case is llama3, it would use Llama3Tokenizer to get true vocab size as shown in 557~563 line in tools/checkpoint/loader_llama_mistral.py.

But I check out the Llama3Tokenizer definition which is from https://github.com/meta-llama/llama3/blob/main/llama/tokenizer.py and did not find the attribute vocab_size , but maybe it means the same attribute as following line show (which is defined in 86 line from https://github.com/meta-llama/llama3/blob/main/llama/tokenizer.py:

self.n_words: int = self.model.n_vocab

So I change the code md.true_vocab_size = tokenizer.vocab_size into md.true_vocab_size = tokenizer.n_words, and it successfully converted to mcore format.

But I'm still not sure whether it's a bug or whether the operation I did is wrong that cause the failure of converting llama3-8B model.

NVIDIA / Megatron-LM

[BUG]Get an AtrributeError when trying to convert llama3-8B model from HF format to mcore format #934