Datasets:

---

VOLBEM

/

all_lora_model

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
alpha_pattern: struct<>
auto_mapping: null
base_model_name_or_path: string
bias: string
corda_config: null
eva_config: null
exclude_modules: null
fan_in_fan_out: bool
inference_mode: bool
init_lora_weights: bool
layer_replication: null
layers_pattern: null
layers_to_transform: null
loftq_config: struct<>
lora_alpha: int64
lora_bias: bool
lora_dropout: double
megatron_config: null
megatron_core: string
modules_to_save: null
peft_type: string
qalora_group_size: int64
r: int64
rank_pattern: struct<>
revision: null
target_modules: list<item: string>
target_parameters: null
task_type: string
trainable_token_indices: null
use_dora: bool
use_qalora: bool
use_rslora: bool
vs
</tool_call>: int64
<tool_call>: int64
<|AUDIO|>: int64
<|IMAGE|>: int64
<|VIDEO|>: int64
<|audio_bos|>: int64
<|audio_eos|>: int64
<|box_end|>: int64
<|endoftext|>: int64
<|file_sep|>: int64
<|fim_middle|>: int64
<|fim_pad|>: int64
<|fim_prefix|>: int64
<|fim_suffix|>: int64
<|im_end|>: int64
<|im_start|>: int64
<|quad_end|>: int64
<|quad_start|>: int64
<|repo_name|>: int64
<|vision_bos|>: int64
<|vision_eos|>: int64
<|vision_pad|>: int64
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 531, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              alpha_pattern: struct<>
              auto_mapping: null
              base_model_name_or_path: string
              bias: string
              corda_config: null
              eva_config: null
              exclude_modules: null
              fan_in_fan_out: bool
              inference_mode: bool
              init_lora_weights: bool
              layer_replication: null
              layers_pattern: null
              layers_to_transform: null
              loftq_config: struct<>
              lora_alpha: int64
              lora_bias: bool
              lora_dropout: double
              megatron_config: null
              megatron_core: string
              modules_to_save: null
              peft_type: string
              qalora_group_size: int64
              r: int64
              rank_pattern: struct<>
              revision: null
              target_modules: list<item: string>
              target_parameters: null
              task_type: string
              trainable_token_indices: null
              use_dora: bool
              use_qalora: bool
              use_rslora: bool
              vs
              </tool_call>: int64
              <tool_call>: int64
              <|AUDIO|>: int64
              <|IMAGE|>: int64
              <|VIDEO|>: int64
              <|audio_bos|>: int64
              <|audio_eos|>: int64
              <|box_end|>: int64
              <|endoftext|>: int64
              <|file_sep|>: int64
              <|fim_middle|>: int64
              <|fim_pad|>: int64
              <|fim_prefix|>: int64
              <|fim_suffix|>: int64
              <|im_end|>: int64
              <|im_start|>: int64
              <|quad_end|>: int64
              <|quad_start|>: int64
              <|repo_name|>: int64
              <|vision_bos|>: int64
              <|vision_eos|>: int64
              <|vision_pad|>: int64