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exp/new_policy7w_v2_reformat_h200/.hydra/config.yaml

@@ -0,0 +1,84 @@
+trainer:
+  project_name: qwen3_vl_cpt
+  experiment_name: new_policy7w_v2_reformat
+  output_path: /mnt/bn/bohanzhainas1/jiashuo/exp/new_policy7w_v2_reformat_h200
+  resume_path: auto
+  log_interval: 10
+  checkpoint_interval: 850
+  checkpoint_hf_model: true
+  save_final_model: true
+  gc_interval: null
+  pp: 1
+  ep: 1
+  sp: 1
+  seed: 1729
+  deterministic: true
+  profile_mode: false
+  debug_steps: null
+data:
+  patterns:
+  - - /mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat
+    - 100%
+  iterable: true
+  max_seq_len: 8192
+  num_training_steps: 850
+  num_epoch: 1
+  chunks_per_step: 4
+  micro_batch_size: 1
+  is_continuous_batch: true
+  max_tokens_per_batch: ${data.max_seq_len}
+  max_samples_per_batch: 32
+  pad_to_multiple_of: ${trainer.sp}
+  num_workers: 4
+  seed: 52
+  shuffle: true
+  allow_skip_files: true
+  transform_extra_kwargs:
+    allow_skip: true
+    image_min_pixels: null
+    image_max_pixels: 16777216
+    video_min_pixels: null
+    video_max_pixels: 307200
+    video_min_frames: null
+    video_max_frames: 32
+  dataset_meta_paths: null
+  data_source_metas: null
+  prefetch: true
+  multi_source_configs: null
+model:
+  template_path: null
+  pretrained_path: /home/tiger/.cache/TiViLa-Qwen3-VL-8B-Instruct-Compliance
+  tokenizer_path: ${model.pretrained_path}
+  max_seq_len: ${data.max_seq_len}
+  loss_type: fused_ce_torch
+  aux_loss_coef: null
+  z_loss_coef: null
+  recompute_norm: true
+  recompute_attn_up_proj: true
+  recompute_attn_down_proj: true
+  recompute_attn: true
+  recompute_mlp: true
+  recompute_mlp_act: true
+  recompute_dispatch: true
+  recompute_visual: true
+  activation_offloading: false
+  visual_activation_offloading: true
+  token_dispatch_method: all-to-all
+  pp_distributed_dataloading: false
+  decoder_first_pipeline_num_layers: null
+  decoder_last_pipeline_num_layers: null
+  freeze_decoder_vocab: false
+  freeze_decoder_but_last_n_layers: null
+  freeze_visual_encoder: false
+  freeze_visual_aligner: false
+  global_attention_interval: null
+  local_attention_window: null
+optim:
+  lr: 1.0e-05
+  visual_lr: 1.0e-05
+  lr_warmup_steps_ratio: 0.03
+  lr_schedule: cosine
+  weight_decay: 0.0
+  adam_beta1: 0.9
+  adam_beta2: 0.999
+  disable_optimizer: false

exp/new_policy7w_v2_reformat_h200/.hydra/hydra.yaml

@@ -0,0 +1,175 @@
+hydra:
+  run:
+    dir: ${trainer.output_path}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=RUN
+    task:
+    - model.pretrained_path=/home/tiger/.cache/TiViLa-Qwen3-VL-8B-Instruct-Compliance
+    - optim.lr=1e-5
+    - optim.visual_lr=1e-5
+    - optim.lr_warmup_steps_ratio=0.03
+    - trainer.output_path=/mnt/bn/bohanzhainas1/jiashuo/exp/new_policy7w_v2_reformat_h200
+    - trainer.project_name=qwen3_vl_cpt
+    - trainer.experiment_name=new_policy7w_v2_reformat
+    - trainer.log_interval=10
+    - trainer.checkpoint_interval=850
+    - trainer.checkpoint_hf_model=true
+    - data.patterns=[["/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat","100%"]]
+    - data.transform_extra_kwargs.image_max_pixels=16777216
+    - data.transform_extra_kwargs.video_max_pixels=307200
+    - data.transform_extra_kwargs.video_max_frames=32
+    - data.max_seq_len=8192
+    - data.is_continuous_batch=true
+    - data.num_training_steps=850
+    - data.chunks_per_step=4
+    - model.recompute_attn=true
+    - model.activation_offloading=false
+    - model.visual_activation_offloading=true
+  job:
+    name: tivila_trainer
+    chdir: null
+    override_dirname: data.chunks_per_step=4,data.is_continuous_batch=true,data.max_seq_len=8192,data.num_training_steps=850,data.patterns=[["/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat","100%"]],data.transform_extra_kwargs.image_max_pixels=16777216,data.transform_extra_kwargs.video_max_frames=32,data.transform_extra_kwargs.video_max_pixels=307200,model.activation_offloading=false,model.pretrained_path=/home/tiger/.cache/TiViLa-Qwen3-VL-8B-Instruct-Compliance,model.recompute_attn=true,model.visual_activation_offloading=true,optim.lr=1e-5,optim.lr_warmup_steps_ratio=0.03,optim.visual_lr=1e-5,trainer.checkpoint_hf_model=true,trainer.checkpoint_interval=850,trainer.experiment_name=new_policy7w_v2_reformat,trainer.log_interval=10,trainer.output_path=/mnt/bn/bohanzhainas1/jiashuo/exp/new_policy7w_v2_reformat_h200,trainer.project_name=qwen3_vl_cpt
+    id: ???
+    num: ???
+    config_name: trainer_tivila
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /opt/tiger/Abbie
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /opt/tiger/Abbie/trainer_configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /mnt/bn/bohanzhainas1/jiashuo/exp/new_policy7w_v2_reformat_h200
+    choices:
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

exp/new_policy7w_v2_reformat_h200/.hydra/overrides.yaml

@@ -0,0 +1,21 @@
+- model.pretrained_path=/home/tiger/.cache/TiViLa-Qwen3-VL-8B-Instruct-Compliance
+- optim.lr=1e-5
+- optim.visual_lr=1e-5
+- optim.lr_warmup_steps_ratio=0.03
+- trainer.output_path=/mnt/bn/bohanzhainas1/jiashuo/exp/new_policy7w_v2_reformat_h200
+- trainer.project_name=qwen3_vl_cpt
+- trainer.experiment_name=new_policy7w_v2_reformat
+- trainer.log_interval=10
+- trainer.checkpoint_interval=850
+- trainer.checkpoint_hf_model=true
+- data.patterns=[["/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat","100%"]]
+- data.transform_extra_kwargs.image_max_pixels=16777216
+- data.transform_extra_kwargs.video_max_pixels=307200
+- data.transform_extra_kwargs.video_max_frames=32
+- data.max_seq_len=8192
+- data.is_continuous_batch=true
+- data.num_training_steps=850
+- data.chunks_per_step=4
+- model.recompute_attn=true
+- model.activation_offloading=false
+- model.visual_activation_offloading=true

exp/soft_label_10k/.hydra/config.yaml

@@ -0,0 +1,85 @@
+trainer:
+  project_name: qwen3_vl_soft
+  experiment_name: soft_label_10k
+  output_path: /mnt/bn/bohanzhainas1/jiashuo/exp/soft_label_10k
+  resume_path: auto
+  log_interval: 1
+  checkpoint_interval: 1000
+  checkpoint_hf_model: true
+  save_final_model: true
+  gc_interval: null
+  pp: 1
+  ep: 1
+  sp: 1
+  seed: 1729
+  deterministic: true
+  profile_mode: false
+  debug_steps: null
+data:
+  patterns:
+  - - /mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat
+    - 100%
+  iterable: true
+  max_seq_len: 8192
+  num_training_steps: 10000
+  num_epoch: 1
+  chunks_per_step: 8
+  micro_batch_size: 1
+  is_continuous_batch: true
+  max_tokens_per_batch: ${data.max_seq_len}
+  max_samples_per_batch: 64
+  pad_to_multiple_of: ${trainer.sp}
+  num_workers: 8
+  seed: 52
+  shuffle: true
+  allow_skip_files: true
+  transform_extra_kwargs:
+    allow_skip: true
+    image_min_pixels: null
+    image_max_pixels: 16777216
+    video_min_pixels: null
+    video_max_pixels: 307200
+    video_min_frames: null
+    video_max_frames: 32
+  dataset_meta_paths: null
+  data_source_metas: null
+  prefetch: true
+  multi_source_configs: null
+model:
+  template_path: null
+  pretrained_path: /mnt/bn/bohanzhainas1/jiashuo/exp/new_policy7w_v2_reformat/checkpoint-1700/hf_model
+  tokenizer_path: ${model.pretrained_path}
+  max_seq_len: ${data.max_seq_len}
+  loss_type: fused_sample_ce
+  use_soft_labels: true
+  aux_loss_coef: null
+  z_loss_coef: null
+  recompute_norm: true
+  recompute_attn_up_proj: true
+  recompute_attn_down_proj: true
+  recompute_attn: true
+  recompute_mlp: true
+  recompute_mlp_act: true
+  recompute_dispatch: true
+  recompute_visual: true
+  activation_offloading: false
+  visual_activation_offloading: true
+  token_dispatch_method: all-to-all
+  pp_distributed_dataloading: false
+  decoder_first_pipeline_num_layers: null
+  decoder_last_pipeline_num_layers: null
+  freeze_decoder_vocab: false
+  freeze_decoder_but_last_n_layers: null
+  freeze_visual_encoder: false
+  freeze_visual_aligner: false
+  global_attention_interval: null
+  local_attention_window: null
+optim:
+  lr: 1.0e-05
+  visual_lr: 1.0e-05
+  lr_warmup_steps_ratio: 0.1
+  lr_schedule: cosine
+  weight_decay: 0.0
+  adam_beta1: 0.9
+  adam_beta2: 0.999
+  disable_optimizer: false

exp/soft_label_10k/.hydra/hydra.yaml

@@ -0,0 +1,182 @@
+hydra:
+  run:
+    dir: ${trainer.output_path}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=RUN
+    task:
+    - model.pretrained_path=/mnt/bn/bohanzhainas1/jiashuo/exp/new_policy7w_v2_reformat/checkpoint-1700/hf_model
+    - model.use_soft_labels=true
+    - model.loss_type=fused_sample_ce
+    - optim.lr=1e-5
+    - optim.visual_lr=1e-5
+    - trainer.output_path=/mnt/bn/bohanzhainas1/jiashuo/exp/soft_label_10k
+    - trainer.project_name=qwen3_vl_soft
+    - trainer.experiment_name=soft_label_10k
+    - trainer.log_interval=1
+    - trainer.checkpoint_interval=1000
+    - trainer.checkpoint_hf_model=true
+    - data.patterns=[["/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat","100%"]]
+    - data.transform_extra_kwargs.image_max_pixels=16777216
+    - data.transform_extra_kwargs.video_max_pixels=307200
+    - data.transform_extra_kwargs.video_max_frames=32
+    - data.max_seq_len=8192
+    - data.is_continuous_batch=true
+    - data.num_training_steps=10000
+    - data.num_workers=8
+    - data.prefetch=true
+    - data.chunks_per_step=8
+    - data.max_samples_per_batch=64
+    - model.recompute_attn=true
+    - model.recompute_norm=true
+    - model.recompute_mlp=true
+    - model.recompute_mlp_act=true
+    - model.visual_activation_offloading=true
+    - model.activation_offloading=false
+  job:
+    name: tivila_trainer
+    chdir: null
+    override_dirname: data.chunks_per_step=8,data.is_continuous_batch=true,data.max_samples_per_batch=64,data.max_seq_len=8192,data.num_training_steps=10000,data.num_workers=8,data.patterns=[["/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat","100%"]],data.prefetch=true,data.transform_extra_kwargs.image_max_pixels=16777216,data.transform_extra_kwargs.video_max_frames=32,data.transform_extra_kwargs.video_max_pixels=307200,model.activation_offloading=false,model.loss_type=fused_sample_ce,model.pretrained_path=/mnt/bn/bohanzhainas1/jiashuo/exp/new_policy7w_v2_reformat/checkpoint-1700/hf_model,model.recompute_attn=true,model.recompute_mlp=true,model.recompute_mlp_act=true,model.recompute_norm=true,model.use_soft_labels=true,model.visual_activation_offloading=true,optim.lr=1e-5,optim.visual_lr=1e-5,trainer.checkpoint_hf_model=true,trainer.checkpoint_interval=1000,trainer.experiment_name=soft_label_10k,trainer.log_interval=1,trainer.output_path=/mnt/bn/bohanzhainas1/jiashuo/exp/soft_label_10k,trainer.project_name=qwen3_vl_soft
+    id: ???
+    num: ???
+    config_name: trainer_tivila
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /mnt/bn/bohanzhainas1/jiashuo/exp/soft_label_10k
+    choices:
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

exp/soft_label_10k/.hydra/overrides.yaml

@@ -0,0 +1,28 @@
+- model.pretrained_path=/mnt/bn/bohanzhainas1/jiashuo/exp/new_policy7w_v2_reformat/checkpoint-1700/hf_model
+- model.use_soft_labels=true
+- model.loss_type=fused_sample_ce
+- optim.lr=1e-5
+- optim.visual_lr=1e-5
+- trainer.output_path=/mnt/bn/bohanzhainas1/jiashuo/exp/soft_label_10k
+- trainer.project_name=qwen3_vl_soft
+- trainer.experiment_name=soft_label_10k
+- trainer.log_interval=1
+- trainer.checkpoint_interval=1000
+- trainer.checkpoint_hf_model=true
+- data.patterns=[["/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat","100%"]]
+- data.transform_extra_kwargs.image_max_pixels=16777216
+- data.transform_extra_kwargs.video_max_pixels=307200
+- data.transform_extra_kwargs.video_max_frames=32
+- data.max_seq_len=8192
+- data.is_continuous_batch=true
+- data.num_training_steps=10000
+- data.num_workers=8
+- data.prefetch=true
+- data.chunks_per_step=8
+- data.max_samples_per_batch=64
+- model.recompute_attn=true
+- model.recompute_norm=true
+- model.recompute_mlp=true
+- model.recompute_mlp_act=true
+- model.visual_activation_offloading=true
+- model.activation_offloading=false

exp/soft_label_10k/rank_to_filepaths.json

@@ -0,0 +1,509 @@
+[
+  [
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_156.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_306.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_219.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_109.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_326.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_267.parquet"
+  ],
+  [
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_248.parquet"
+  ],
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_132.parquet"
+  ],
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_264.parquet",
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_18.parquet"
+  ],
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_330.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_244.parquet",
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_308.parquet"
+  ],
+  [
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_295.parquet",
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_25.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_160.parquet"
+  ],
+  [
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_90.parquet"
+  ],
+  [
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_103.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_341.parquet"
+  ],
+  [
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_130.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_184.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_195.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_377.parquet"
+  ],
+  [
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_271.parquet",
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_303.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_270.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_31.parquet"
+  ],
+  [
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_111.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_231.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_332.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_127.parquet"
+  ],
+  [
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_67.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_1.parquet",
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_39.parquet"
+  ],
+  [
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_0.parquet"
+  ],
+  [
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_2.parquet",
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_87.parquet"
+  ],
+  [
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_257.parquet",
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_182.parquet"
+  ],
+  [
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_276.parquet"
+  ],
+  [
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_226.parquet"
+  ],
+  [
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_360.parquet"
+  ],
+  [
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_368.parquet",
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_104.parquet"
+  ],
+  [
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_224.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_315.parquet"
+  ],
+  [
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_260.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_76.parquet"
+  ],
+  [
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_333.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_152.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_129.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_262.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_255.parquet"
+  ]
+]

exp/soft_label_10k/tivila_trainer.log

@@ -0,0 +1,870 @@
+[2026-03-17 07:45:31,011][abbie][INFO] - trainer:
+  project_name: qwen3_vl_soft
+  experiment_name: soft_label_10k
+  output_path: /mnt/bn/bohanzhainas1/jiashuo/exp/soft_label_10k
+  resume_path: null
+  log_interval: 1
+  checkpoint_interval: 1000
+  checkpoint_hf_model: true
+  save_final_model: true
+  gc_interval: null
+  pp: 1
+  ep: 1
+  sp: 1
+  seed: 1729
+  deterministic: true
+  profile_mode: false
+  debug_steps: null
+data:
+  patterns:
+  - - /mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat
+    - 100%
+  iterable: true
+  max_seq_len: 8192
+  num_training_steps: 10000
+  num_epoch: 1
+  chunks_per_step: 8
+  micro_batch_size: 1
+  is_continuous_batch: true
+  max_tokens_per_batch: 8192
+  max_samples_per_batch: 64
+  pad_to_multiple_of: 1
+  num_workers: 8
+  seed: 52
+  shuffle: true
+  allow_skip_files: true
+  transform_extra_kwargs:
+    allow_skip: true
+    image_min_pixels: null
+    image_max_pixels: 16777216
+    video_min_pixels: null
+    video_max_pixels: 307200
+    video_min_frames: null
+    video_max_frames: 32
+  dataset_meta_paths: null
+  data_source_metas: null
+  prefetch: true
+  multi_source_configs: null
+model:
+  template_path: null
+  pretrained_path: /mnt/bn/bohanzhainas1/jiashuo/exp/new_policy7w_v2_reformat/checkpoint-1700/hf_model
+  tokenizer_path: /mnt/bn/bohanzhainas1/jiashuo/exp/new_policy7w_v2_reformat/checkpoint-1700/hf_model
+  max_seq_len: 8192
+  loss_type: fused_sample_ce
+  use_soft_labels: true
+  aux_loss_coef: null
+  z_loss_coef: null
+  recompute_norm: true
+  recompute_attn_up_proj: true
+  recompute_attn_down_proj: true
+  recompute_attn: true
+  recompute_mlp: true
+  recompute_mlp_act: true
+  recompute_dispatch: true
+  recompute_visual: true
+  activation_offloading: false
+  visual_activation_offloading: true
+  token_dispatch_method: all-to-all
+  pp_distributed_dataloading: false
+  decoder_first_pipeline_num_layers: null
+  decoder_last_pipeline_num_layers: null
+  freeze_decoder_vocab: false
+  freeze_decoder_but_last_n_layers: null
+  freeze_visual_encoder: false
+  freeze_visual_aligner: false
+  global_attention_interval: null
+  local_attention_window: null
+optim:
+  lr: 1.0e-05
+  visual_lr: 1.0e-05
+  lr_warmup_steps_ratio: 0.1
+  lr_schedule: cosine
+  weight_decay: 0.0
+  adam_beta1: 0.9
+  adam_beta2: 0.999
+  disable_optimizer: false
+
+[2026-03-17 07:45:31,011][abbie][INFO] - Creating dataloader
+[2026-03-17 07:45:33,287][abbie][INFO] - Loading model from /mnt/bn/bohanzhainas1/jiashuo/exp/new_policy7w_v2_reformat/checkpoint-1700/hf_model
+[2026-03-17 07:46:44,264][abbie][INFO] - Model loaded mem_alloc=16.3GB
+[2026-03-17 07:46:44,570][abbie][INFO] - trainable_params=8.767B total_params=8.767B
+[2026-03-17 07:46:44,571][abbie][INFO] - trainable_params=8.767B total_params=8.767B
+[2026-03-17 07:46:44,571][abbie][INFO] - trainable_params=8.767B total_params=8.767B
+[2026-03-17 07:46:44,572][abbie][INFO] - trainable_params=8.767B total_params=8.767B
+[2026-03-17 07:46:44,572][abbie][INFO] - trainable_params=8.767B total_params=8.767B
+[2026-03-17 07:46:44,573][abbie][INFO] - trainable_params=8.767B total_params=8.767B
+[2026-03-17 07:46:44,573][abbie][INFO] - trainable_params=8.767B total_params=8.767B
+[2026-03-17 07:46:44,574][abbie][INFO] - trainable_params=8.767B total_params=8.767B
+[2026-03-17 07:46:44,907][abbie][INFO] - Optimizers created mem_alloc=24.2GB
+[2026-03-17 07:46:49,565][abbie][INFO] - Start training from 0/10000
+[2026-03-17 07:46:49,566][abbie][INFO] - mem_alloc=24.2GB
+[2026-03-17 07:46:49,566][abbie][INFO] - mem_reserved=24.3GB
+[Rank 6 - Worker 6] 2026-03-17 07:54:07,855 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 0 - Worker 4] 2026-03-17 07:57:43,432 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 7 - Worker 2] 2026-03-17 08:04:01,155 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 6 - Worker 6] 2026-03-17 08:05:01,666 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 3 - Worker 5] 2026-03-17 08:05:24,774 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 2 - Worker 3] 2026-03-17 08:13:52,976 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 1 - Worker 1] 2026-03-17 08:15:19,190 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 3 - Worker 1] 2026-03-17 08:16:21,567 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 0 - Worker 0] 2026-03-17 08:16:43,352 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 7 - Worker 7] 2026-03-17 08:17:43,385 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 0 - Worker 3] 2026-03-17 08:18:40,020 - root - WARNING - Skipped sample due to image file is truncated (17 bytes not processed): Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 332, in process_conversation
+    frames = [decode_image_base64(b) for b in part["video"]]
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 332, in <listcomp>
+    frames = [decode_image_base64(b) for b in part["video"]]
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 106, in decode_image_base64
+    return Image.open(bio).convert("RGB")
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/PIL/Image.py", line 967, in convert
+    self.load()
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/PIL/ImageFile.py", line 403, in load
+    raise OSError(msg)
+OSError: image file is truncated (17 bytes not processed)
+
+[Rank 6 - Worker 6] 2026-03-17 08:21:02,121 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 1 - Worker 3] 2026-03-17 08:22:00,465 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 6 - Worker 0] 2026-03-17 08:22:00,711 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 0 - Worker 4] 2026-03-17 08:23:42,373 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 4 - Worker 3] 2026-03-17 08:28:28,450 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 6 - Worker 2] 2026-03-17 08:28:40,989 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 6 - Worker 1] 2026-03-17 08:33:46,013 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 7 - Worker 4] 2026-03-17 08:33:46,026 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 1 - Worker 1] 2026-03-17 08:34:45,995 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 7 - Worker 2] 2026-03-17 08:36:19,093 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 6 - Worker 0] 2026-03-17 08:36:39,159 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 3 - Worker 7] 2026-03-17 08:58:38,863 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 7 - Worker 5] 2026-03-17 09:02:11,634 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 7 - Worker 0] 2026-03-17 09:05:18,355 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 6 - Worker 7] 2026-03-17 09:06:30,485 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 3 - Worker 1] 2026-03-17 09:12:54,532 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 1 - Worker 5] 2026-03-17 09:17:27,102 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 2 - Worker 7] 2026-03-17 09:22:24,266 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 5 - Worker 1] 2026-03-17 09:24:59,467 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 3 - Worker 5] 2026-03-17 09:30:32,198 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 3 - Worker 7] 2026-03-17 09:31:56,012 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 2 - Worker 0] 2026-03-17 09:33:41,390 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 0 - Worker 5] 2026-03-17 09:35:17,812 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 0 - Worker 5] 2026-03-17 09:39:24,088 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 6 - Worker 2] 2026-03-17 09:42:44,257 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 2 - Worker 0] 2026-03-17 09:43:42,428 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 6 - Worker 6] 2026-03-17 09:53:54,355 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 6 - Worker 6] 2026-03-17 10:02:55,786 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 7 - Worker 2] 2026-03-17 10:06:42,706 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 0 - Worker 4] 2026-03-17 10:07:17,710 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 3 - Worker 5] 2026-03-17 10:11:25,626 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 3 - Worker 1] 2026-03-17 10:11:36,836 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 1 - Worker 3] 2026-03-17 10:12:47,839 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 0 - Worker 0] 2026-03-17 10:13:34,495 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 0 - Worker 3] 2026-03-17 10:14:12,657 - root - WARNING - Skipped sample due to image file is truncated (17 bytes not processed): Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 332, in process_conversation
+    frames = [decode_image_base64(b) for b in part["video"]]
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 332, in <listcomp>
+    frames = [decode_image_base64(b) for b in part["video"]]
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 106, in decode_image_base64
+    return Image.open(bio).convert("RGB")
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/PIL/Image.py", line 967, in convert
+    self.load()
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/PIL/ImageFile.py", line 403, in load
+    raise OSError(msg)
+OSError: image file is truncated (17 bytes not processed)
+
+[Rank 1 - Worker 1] 2026-03-17 10:15:34,722 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 6 - Worker 0] 2026-03-17 10:15:57,640 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 0 - Worker 4] 2026-03-17 10:18:07,436 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 6 - Worker 6] 2026-03-17 10:18:44,261 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+
+[Rank 7 - Worker 7] 2026-03-17 10:22:30,149 - root - WARNING - Skipped sample due to max_workers must be greater than 0: Traceback (most recent call last):
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 473, in preprocess
+    return self._preprocess(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 457, in _preprocess
+    sample = self.process_conversation(item)
+  File "/mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_utils/tivila_transform.py", line 360, in process_conversation
+    images, videos, video_kwargs = process_vision_info(
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 517, in process_vision_info
+    video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True,
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py", line 423, in fetch_video
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+  File "/mnt/bn/bohanzhainas1/jiashuo/miniconda3/envs/active_proaction/lib/python3.10/concurrent/futures/thread.py", line 144, in __init__
+    raise ValueError("max_workers must be greater than 0")
+ValueError: max_workers must be greater than 0
+

exp/soft_label_from_ckpt1700/.hydra/config.yaml

@@ -0,0 +1,85 @@
+trainer:
+  project_name: qwen3_vl_soft
+  experiment_name: soft_label_from_ckpt1700_opt2
+  output_path: /mnt/bn/bohanzhainas1/jiashuo/exp/soft_label_from_ckpt1700
+  resume_path: auto
+  log_interval: 1
+  checkpoint_interval: 1000
+  checkpoint_hf_model: true
+  save_final_model: true
+  gc_interval: null
+  pp: 1
+  ep: 1
+  sp: 1
+  seed: 1729
+  deterministic: true
+  profile_mode: false
+  debug_steps: null
+data:
+  patterns:
+  - - /mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat
+    - 100%
+  iterable: true
+  max_seq_len: 8192
+  num_training_steps: 10000
+  num_epoch: 1
+  chunks_per_step: 8
+  micro_batch_size: 1
+  is_continuous_batch: true
+  max_tokens_per_batch: ${data.max_seq_len}
+  max_samples_per_batch: 64
+  pad_to_multiple_of: ${trainer.sp}
+  num_workers: 8
+  seed: 52
+  shuffle: true
+  allow_skip_files: true
+  transform_extra_kwargs:
+    allow_skip: true
+    image_min_pixels: null
+    image_max_pixels: 16777216
+    video_min_pixels: null
+    video_max_pixels: 307200
+    video_min_frames: null
+    video_max_frames: 32
+  dataset_meta_paths: null
+  data_source_metas: null
+  prefetch: true
+  multi_source_configs: null
+model:
+  template_path: null
+  pretrained_path: /mnt/bn/bohanzhainas1/jiashuo/exp/new_policy7w_v2_reformat/checkpoint-1700/hf_model
+  tokenizer_path: ${model.pretrained_path}
+  max_seq_len: ${data.max_seq_len}
+  loss_type: fused_sample_ce
+  use_soft_labels: true
+  aux_loss_coef: null
+  z_loss_coef: null
+  recompute_norm: true
+  recompute_attn_up_proj: true
+  recompute_attn_down_proj: true
+  recompute_attn: true
+  recompute_mlp: true
+  recompute_mlp_act: true
+  recompute_dispatch: true
+  recompute_visual: true
+  activation_offloading: false
+  visual_activation_offloading: true
+  token_dispatch_method: all-to-all
+  pp_distributed_dataloading: false
+  decoder_first_pipeline_num_layers: null
+  decoder_last_pipeline_num_layers: null
+  freeze_decoder_vocab: false
+  freeze_decoder_but_last_n_layers: null
+  freeze_visual_encoder: false
+  freeze_visual_aligner: false
+  global_attention_interval: null
+  local_attention_window: null
+optim:
+  lr: 1.0e-05
+  visual_lr: 1.0e-05
+  lr_warmup_steps_ratio: 0.1
+  lr_schedule: cosine
+  weight_decay: 0.0
+  adam_beta1: 0.9
+  adam_beta2: 0.999
+  disable_optimizer: false

exp/soft_label_from_ckpt1700/.hydra/hydra.yaml

@@ -0,0 +1,182 @@
+hydra:
+  run:
+    dir: ${trainer.output_path}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=RUN
+    task:
+    - model.pretrained_path=/mnt/bn/bohanzhainas1/jiashuo/exp/new_policy7w_v2_reformat/checkpoint-1700/hf_model
+    - model.use_soft_labels=true
+    - model.loss_type=fused_sample_ce
+    - optim.lr=1e-5
+    - optim.visual_lr=1e-5
+    - trainer.output_path=/mnt/bn/bohanzhainas1/jiashuo/exp/soft_label_from_ckpt1700
+    - trainer.project_name=qwen3_vl_soft
+    - trainer.experiment_name=soft_label_from_ckpt1700_opt2
+    - trainer.log_interval=1
+    - trainer.checkpoint_interval=1000
+    - trainer.checkpoint_hf_model=true
+    - data.patterns=[["/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat","100%"]]
+    - data.transform_extra_kwargs.image_max_pixels=16777216
+    - data.transform_extra_kwargs.video_max_pixels=307200
+    - data.transform_extra_kwargs.video_max_frames=32
+    - data.max_seq_len=8192
+    - data.is_continuous_batch=true
+    - data.num_training_steps=10000
+    - data.num_workers=8
+    - data.prefetch=true
+    - data.chunks_per_step=8
+    - data.max_samples_per_batch=64
+    - model.recompute_attn=true
+    - model.recompute_norm=true
+    - model.recompute_mlp=true
+    - model.recompute_mlp_act=true
+    - model.visual_activation_offloading=true
+    - model.activation_offloading=false
+  job:
+    name: tivila_trainer
+    chdir: null
+    override_dirname: data.chunks_per_step=8,data.is_continuous_batch=true,data.max_samples_per_batch=64,data.max_seq_len=8192,data.num_training_steps=10000,data.num_workers=8,data.patterns=[["/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat","100%"]],data.prefetch=true,data.transform_extra_kwargs.image_max_pixels=16777216,data.transform_extra_kwargs.video_max_frames=32,data.transform_extra_kwargs.video_max_pixels=307200,model.activation_offloading=false,model.loss_type=fused_sample_ce,model.pretrained_path=/mnt/bn/bohanzhainas1/jiashuo/exp/new_policy7w_v2_reformat/checkpoint-1700/hf_model,model.recompute_attn=true,model.recompute_mlp=true,model.recompute_mlp_act=true,model.recompute_norm=true,model.use_soft_labels=true,model.visual_activation_offloading=true,optim.lr=1e-5,optim.visual_lr=1e-5,trainer.checkpoint_hf_model=true,trainer.checkpoint_interval=1000,trainer.experiment_name=soft_label_from_ckpt1700_opt2,trainer.log_interval=1,trainer.output_path=/mnt/bn/bohanzhainas1/jiashuo/exp/soft_label_from_ckpt1700,trainer.project_name=qwen3_vl_soft
+    id: ???
+    num: ???
+    config_name: trainer_tivila
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /mnt/bn/bohanzhainas1/jiashuo/playground/Abbie-orig-soft/trainer_configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /mnt/bn/bohanzhainas1/jiashuo/exp/soft_label_from_ckpt1700
+    choices:
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

exp/soft_label_from_ckpt1700/.hydra/overrides.yaml

@@ -0,0 +1,28 @@
+- model.pretrained_path=/mnt/bn/bohanzhainas1/jiashuo/exp/new_policy7w_v2_reformat/checkpoint-1700/hf_model
+- model.use_soft_labels=true
+- model.loss_type=fused_sample_ce
+- optim.lr=1e-5
+- optim.visual_lr=1e-5
+- trainer.output_path=/mnt/bn/bohanzhainas1/jiashuo/exp/soft_label_from_ckpt1700
+- trainer.project_name=qwen3_vl_soft
+- trainer.experiment_name=soft_label_from_ckpt1700_opt2
+- trainer.log_interval=1
+- trainer.checkpoint_interval=1000
+- trainer.checkpoint_hf_model=true
+- data.patterns=[["/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat","100%"]]
+- data.transform_extra_kwargs.image_max_pixels=16777216
+- data.transform_extra_kwargs.video_max_pixels=307200
+- data.transform_extra_kwargs.video_max_frames=32
+- data.max_seq_len=8192
+- data.is_continuous_batch=true
+- data.num_training_steps=10000
+- data.num_workers=8
+- data.prefetch=true
+- data.chunks_per_step=8
+- data.max_samples_per_batch=64
+- model.recompute_attn=true
+- model.recompute_norm=true
+- model.recompute_mlp=true
+- model.recompute_mlp_act=true
+- model.visual_activation_offloading=true
+- model.activation_offloading=false

exp/soft_label_from_ckpt1700/rank_to_filepaths.json

@@ -0,0 +1,509 @@
+[
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+  ],
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+  ],
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+  ],
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+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_320.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_355.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_224.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_315.parquet"
+  ],
+  [
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_237.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_159.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_42.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_59.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_260.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_76.parquet"
+  ],
+  [
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_19.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_333.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_152.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_129.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_262.parquet",
+    "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat/sft_data_newpolicy7w_bsz128_part_255.parquet"
+  ]
+]

hf_cache/hub/models--Qwen--Qwen3-0.6B-Base/blobs/43c79dcb3766612b23cbed17d0a56ce63efe4e74

@@ -0,0 +1,30 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

hf_cache/hub/models--Qwen--Qwen3-0.6B-Base/blobs/6a3829ee9491f36113e64df37573be81df0366f5

@@ -0,0 +1,239 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

hf_cache/hub/models--Qwen--Qwen3-0.6B-Base/blobs/cbbb3133034e192527e5321b4c679154e4819ab8

@@ -0,0 +1,7 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": false,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.37.0"
+}

hf_cache/hub/models--Qwen--Qwen3-0.6B-Base/refs/main

@@ -0,0 +1 @@
+da87bfb608c14b7cf20ba1ce41287e8de496c0cd

hf_cache/hub/models--Qwen--Qwen3-0.6B-Base/snapshots/da87bfb608c14b7cf20ba1ce41287e8de496c0cd/config.json

@@ -0,0 +1,30 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

hf_cache/hub/models--Qwen--Qwen3-0.6B-Base/snapshots/da87bfb608c14b7cf20ba1ce41287e8de496c0cd/generation_config.json

@@ -0,0 +1,7 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": false,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.37.0"
+}

hf_cache/hub/models--Qwen--Qwen3-0.6B-Base/snapshots/da87bfb608c14b7cf20ba1ce41287e8de496c0cd/tokenizer_config.json

@@ -0,0 +1,239 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

hf_cache/models--Qwen--Qwen3-0.6B-Base/blobs/43c79dcb3766612b23cbed17d0a56ce63efe4e74

@@ -0,0 +1,30 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

hf_cache/models--Qwen--Qwen3-0.6B-Base/blobs/6a3829ee9491f36113e64df37573be81df0366f5

@@ -0,0 +1,239 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}