Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 50 new columns ({'n_expanded_embd', 'time_stats.attn_post_proj.max', 'time_stats.add.max', 'use_gated_mlp', 'time_stats.input_layernorm.min', 'time_stats.input_layernorm.std', 'time_stats.input_layernorm.median', 'time_stats.attn_pre_proj.mean', 'time_stats.mlp_down_proj.median', 'time_stats.mlp_act.mean', 'time_stats.mlp_down_proj.std', 'time_stats.mlp_up_proj.max', 'time_stats.mlp_act.min', 'time_stats.attn_pre_proj.max', 'time_stats.add.mean', 'num_tokens', 'time_stats.attn_rope.max', 'time_stats.mlp_down_proj.mean', 'time_stats.emb.max', 'time_stats.attn_pre_proj.std', 'time_stats.mlp_up_proj.median', 'time_stats.add.std', 'time_stats.mlp_up_proj.std', 'time_stats.add.min', 'time_stats.attn_post_proj.mean', 'time_stats.attn_post_proj.std', 'time_stats.emb.median', 'time_stats.attn_rope.min', 'time_stats.attn_post_proj.min', 'time_stats.add.median', 'time_stats.attn_rope.mean', 'time_stats.attn_pre_proj.median', 'time_stats.mlp_up_proj.min', 'time_stats.attn_post_proj.median', 'time_stats.emb.min', 'time_stats.mlp_act.max', 'time_stats.mlp_up_proj.mean', 'time_stats.input_layernorm.mean', 'time_stats.attn_rope.median', 'time_stats.attn_pre_proj.min', 'n_head', 'time_stats.mlp_down_proj.max', 'time_stats.emb.mean', 'time_stats.mlp_act.median', 'time_stats.input_layernorm.max', 'time_stats.mlp_down_proj.min', 'vocab_size', 'time_stats.attn_rope.std', 'time_stats.emb.std', 'time_stats.mlp_act.std'}) and 28 missing columns ({'time_stats.attn_input_reshape.max', 'batch_size', 'prefill_chunk_size', 'time_stats.attn_output_reshape.median', 'time_stats.attn_decode.mean', 'time_stats.attn_output_reshape.mean', 'time_stats.attn_prefill.median', 'time_stats.attn_decode.median', 'time_stats.attn_input_reshape.median', 'time_stats.attn_input_reshape.mean', 'time_stats.attn_decode.max', 'is_prefill', 'time_stats.attn_prefill.mean', 'time_stats.attn_output_reshape.min', 'time_stats.attn_input_reshape.std', 'time_stats.attn_prefill.min', 'time_stats.attn_output_reshape.std', 'kv_cache_size', 'time_stats.attn_prefill.std', 'n_q_head', 'time_stats.attn_output_reshape.max', 'max_model_len', 'time_stats.attn_decode.std', 'attention_backend', 'time_stats.attn_prefill.max', 'time_stats.attn_decode.min', 'block_size', 'time_stats.attn_input_reshape.min'}).

This happened while the csv dataset builder was generating data using

hf://datasets/project-vajra/dev-staging-microsoft-phi-2-a100/mlp.csv (at revision 024a850a7640fc3caca2360989a0301020ac89ff)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              time_stats.emb.min: double
              time_stats.emb.max: double
              time_stats.emb.mean: double
              time_stats.emb.median: double
              time_stats.emb.std: double
              time_stats.input_layernorm.min: double
              time_stats.input_layernorm.max: double
              time_stats.input_layernorm.mean: double
              time_stats.input_layernorm.median: double
              time_stats.input_layernorm.std: double
              time_stats.attn_pre_proj.min: double
              time_stats.attn_pre_proj.max: double
              time_stats.attn_pre_proj.mean: double
              time_stats.attn_pre_proj.median: double
              time_stats.attn_pre_proj.std: double
              time_stats.attn_rope.min: double
              time_stats.attn_rope.max: double
              time_stats.attn_rope.mean: double
              time_stats.attn_rope.median: double
              time_stats.attn_rope.std: double
              time_stats.attn_post_proj.min: double
              time_stats.attn_post_proj.max: double
              time_stats.attn_post_proj.mean: double
              time_stats.attn_post_proj.median: double
              time_stats.attn_post_proj.std: double
              time_stats.mlp_up_proj.min: double
              time_stats.mlp_up_proj.max: double
              time_stats.mlp_up_proj.mean: double
              time_stats.mlp_up_proj.median: double
              time_stats.mlp_up_proj.std: double
              time_stats.mlp_act.min: double
              time_stats.mlp_act.max: double
              time_stats.mlp_act.mean: double
              time_stats.mlp_act.median: double
              time_stats.mlp_act.std: double
              time_stats.mlp_down_proj.min: double
              time_stats.mlp_down_proj.max: double
              time_stats.mlp_down_proj.mean: double
              time_stats.mlp_down_proj.median: double
              time_stats.mlp_down_proj.std: double
              time_stats.add.min: double
              time_stats.add.max: double
              time_stats.add.mean: double
              time_stats.add.median: double
              time_stats.add.std: double
              n_head: int64
              n_kv_head: int64
              n_embd: int64
              n_expanded_embd: int64
              vocab_size: int64
              use_gated_mlp: bool
              num_tokens: int64
              num_tensor_parallel_workers: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 8074
              to
              {'time_stats.attn_input_reshape.min': Value('float64'), 'time_stats.attn_input_reshape.max': Value('float64'), 'time_stats.attn_input_reshape.mean': Value('float64'), 'time_stats.attn_input_reshape.median': Value('float64'), 'time_stats.attn_input_reshape.std': Value('float64'), 'time_stats.attn_decode.min': Value('float64'), 'time_stats.attn_decode.max': Value('float64'), 'time_stats.attn_decode.mean': Value('float64'), 'time_stats.attn_decode.median': Value('float64'), 'time_stats.attn_decode.std': Value('float64'), 'time_stats.attn_output_reshape.min': Value('float64'), 'time_stats.attn_output_reshape.max': Value('float64'), 'time_stats.attn_output_reshape.mean': Value('float64'), 'time_stats.attn_output_reshape.median': Value('float64'), 'time_stats.attn_output_reshape.std': Value('float64'), 'time_stats.attn_prefill.min': Value('float64'), 'time_stats.attn_prefill.max': Value('float64'), 'time_stats.attn_prefill.mean': Value('float64'), 'time_stats.attn_prefill.median': Value('float64'), 'time_stats.attn_prefill.std': Value('float64'), 'n_embd': Value('int64'), 'n_q_head': Value('int64'), 'n_kv_head': Value('int64'), 'block_size': Value('int64'), 'num_tensor_parallel_workers': Value('int64'), 'max_model_len': Value('int64'), 'batch_size': Value('int64'), 'prefill_chunk_size': Value('int64'), 'kv_cache_size': Value('int64'), 'is_prefill': Value('bool'), 'attention_backend': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1455, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 50 new columns ({'n_expanded_embd', 'time_stats.attn_post_proj.max', 'time_stats.add.max', 'use_gated_mlp', 'time_stats.input_layernorm.min', 'time_stats.input_layernorm.std', 'time_stats.input_layernorm.median', 'time_stats.attn_pre_proj.mean', 'time_stats.mlp_down_proj.median', 'time_stats.mlp_act.mean', 'time_stats.mlp_down_proj.std', 'time_stats.mlp_up_proj.max', 'time_stats.mlp_act.min', 'time_stats.attn_pre_proj.max', 'time_stats.add.mean', 'num_tokens', 'time_stats.attn_rope.max', 'time_stats.mlp_down_proj.mean', 'time_stats.emb.max', 'time_stats.attn_pre_proj.std', 'time_stats.mlp_up_proj.median', 'time_stats.add.std', 'time_stats.mlp_up_proj.std', 'time_stats.add.min', 'time_stats.attn_post_proj.mean', 'time_stats.attn_post_proj.std', 'time_stats.emb.median', 'time_stats.attn_rope.min', 'time_stats.attn_post_proj.min', 'time_stats.add.median', 'time_stats.attn_rope.mean', 'time_stats.attn_pre_proj.median', 'time_stats.mlp_up_proj.min', 'time_stats.attn_post_proj.median', 'time_stats.emb.min', 'time_stats.mlp_act.max', 'time_stats.mlp_up_proj.mean', 'time_stats.input_layernorm.mean', 'time_stats.attn_rope.median', 'time_stats.attn_pre_proj.min', 'n_head', 'time_stats.mlp_down_proj.max', 'time_stats.emb.mean', 'time_stats.mlp_act.median', 'time_stats.input_layernorm.max', 'time_stats.mlp_down_proj.min', 'vocab_size', 'time_stats.attn_rope.std', 'time_stats.emb.std', 'time_stats.mlp_act.std'}) and 28 missing columns ({'time_stats.attn_input_reshape.max', 'batch_size', 'prefill_chunk_size', 'time_stats.attn_output_reshape.median', 'time_stats.attn_decode.mean', 'time_stats.attn_output_reshape.mean', 'time_stats.attn_prefill.median', 'time_stats.attn_decode.median', 'time_stats.attn_input_reshape.median', 'time_stats.attn_input_reshape.mean', 'time_stats.attn_decode.max', 'is_prefill', 'time_stats.attn_prefill.mean', 'time_stats.attn_output_reshape.min', 'time_stats.attn_input_reshape.std', 'time_stats.attn_prefill.min', 'time_stats.attn_output_reshape.std', 'kv_cache_size', 'time_stats.attn_prefill.std', 'n_q_head', 'time_stats.attn_output_reshape.max', 'max_model_len', 'time_stats.attn_decode.std', 'attention_backend', 'time_stats.attn_prefill.max', 'time_stats.attn_decode.min', 'block_size', 'time_stats.attn_input_reshape.min'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/project-vajra/dev-staging-microsoft-phi-2-a100/mlp.csv (at revision 024a850a7640fc3caca2360989a0301020ac89ff)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

time_stats.attn_input_reshape.min
float64
time_stats.attn_input_reshape.max
float64
time_stats.attn_input_reshape.mean
float64
time_stats.attn_input_reshape.median
float64
time_stats.attn_input_reshape.std
float64
time_stats.attn_decode.min
float64
time_stats.attn_decode.max
float64
time_stats.attn_decode.mean
float64
time_stats.attn_decode.median
float64
time_stats.attn_decode.std
float64
time_stats.attn_output_reshape.min
float64
time_stats.attn_output_reshape.max
float64
time_stats.attn_output_reshape.mean
float64
time_stats.attn_output_reshape.median
float64
time_stats.attn_output_reshape.std
float64
time_stats.attn_prefill.min
null
time_stats.attn_prefill.max
null
time_stats.attn_prefill.mean
null
time_stats.attn_prefill.median
null
time_stats.attn_prefill.std
null
n_embd
int64
n_q_head
int64
n_kv_head
int64
block_size
int64
num_tensor_parallel_workers
int64
max_model_len
int64
batch_size
int64
prefill_chunk_size
int64
kv_cache_size
int64
is_prefill
bool
attention_backend
string
0
0
0
0
0
0.009
0.009
0.009
0.009
0
0.001
0.001
0.001
0.001
0
null
null
null
null
null
2,560
32
32
16
1
4,096
1
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.009
0.009
0.009
0.009
0
0.001
0.001
0.001
0.001
0
null
null
null
null
null
2,560
32
32
16
1
4,096
2
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.009
0.009
0.009
0.009
0
0.001
0.001
0.001
0.001
0
null
null
null
null
null
2,560
32
32
16
1
4,096
3
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.012
0.012
0.012
0.012
0
0.001
0.001
0.001
0.001
0
null
null
null
null
null
2,560
32
32
16
1
4,096
4
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.012
0.012
0.012
0.012
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
5
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.012
0.012
0.012
0.012
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
6
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.017
0.018
0.0172
0.017
0.0004
0.001
0.002
0.0016
0.002
0.00049
null
null
null
null
null
2,560
32
32
16
1
4,096
7
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.018
0.018
0.018
0.018
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
8
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.019
0.02
0.0198
0.02
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
9
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.02
0.02
0.02
0.02
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
10
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.02
0.02
0.02
0.02
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
11
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.02
0.02
0.02
0.02
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
12
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.021
0.021
0.021
0.021
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
13
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.026
0.026
0.026
0.026
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
14
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.027
0.028
0.0274
0.027
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
15
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.028
0.029
0.0282
0.028
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
16
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.028
0.029
0.0288
0.029
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
17
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.029
0.029
0.029
0.029
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
18
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.029
0.029
0.029
0.029
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
19
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.029
0.03
0.0296
0.03
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
20
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.035
0.036
0.0354
0.035
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
21
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.036
0.036
0.036
0.036
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
22
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.037
0.037
0.037
0.037
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
23
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.037
0.038
0.0374
0.037
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
24
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.037
0.038
0.0372
0.037
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
25
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.038
0.038
0.038
0.038
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
26
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.039
0.039
0.039
0.039
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
27
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.044
0.045
0.0444
0.044
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
28
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.045
0.045
0.045
0.045
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
29
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.046
0.047
0.0462
0.046
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
30
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.046
0.047
0.0464
0.046
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
31
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.046
0.047
0.0462
0.046
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
32
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.046
0.047
0.0468
0.047
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
33
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.051
0.052
0.0516
0.052
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
34
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.054
0.054
0.054
0.054
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
35
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.054
0.054
0.054
0.054
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
36
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.055
0.056
0.0552
0.055
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
37
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.055
0.055
0.055
0.055
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
38
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.055
0.056
0.0558
0.056
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
39
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.056
0.057
0.0562
0.056
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
40
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.06
0.061
0.0604
0.06
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
41
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.064
0.065
0.0642
0.064
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
42
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.064
0.064
0.064
0.064
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
43
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.066
0.066
0.066
0.066
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
44
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.067
0.067
0.067
0.067
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
45
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.067
0.068
0.0678
0.068
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
46
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.066
0.067
0.0666
0.067
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
47
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.072
0.074
0.073
0.073
0.000894
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
48
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.075
0.076
0.0758
0.076
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
49
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.074
0.075
0.0748
0.075
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
50
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.075
0.076
0.0758
0.076
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
51
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.077
0.077
0.077
0.077
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
52
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.08
0.08
0.08
0.08
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
53
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.08
0.081
0.0804
0.08
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
54
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.085
0.086
0.0852
0.085
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
55
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.086
0.086
0.086
0.086
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
56
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.085
0.086
0.0856
0.086
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
57
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.088
0.089
0.0884
0.088
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
58
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.09
0.091
0.0904
0.09
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
59
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.091
0.092
0.0914
0.091
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
60
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.091
0.093
0.0918
0.092
0.000748
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
61
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.096
0.097
0.0962
0.096
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
62
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.097
0.098
0.0974
0.097
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
63
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.099
0.1
0.0994
0.099
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
64
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.1
0.1
0.1
0.1
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
65
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.102
0.103
0.1026
0.103
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
66
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.102
0.102
0.102
0.102
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
67
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.105
0.107
0.106
0.106
0.000894
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
68
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.106
0.107
0.1066
0.107
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
69
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.109
0.11
0.1096
0.11
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
70
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.109
0.11
0.1096
0.11
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
71
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.112
0.113
0.1122
0.112
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
72
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.114
0.115
0.1144
0.114
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
73
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.113
0.115
0.1138
0.114
0.000748
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
74
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.117
0.119
0.118
0.118
0.000632
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
75
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.12
0.121
0.1202
0.12
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
76
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.121
0.122
0.1216
0.122
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
77
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.123
0.124
0.1236
0.124
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
78
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.12
0.121
0.1208
0.121
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
79
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.125
0.126
0.1254
0.125
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
80
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.125
0.127
0.126
0.126
0.000632
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
81
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.13
0.131
0.1308
0.131
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
82
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.129
0.129
0.129
0.129
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
83
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.133
0.134
0.1334
0.133
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
84
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.135
0.136
0.1354
0.135
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
85
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.134
0.135
0.1348
0.135
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
86
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.136
0.137
0.1366
0.137
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
87
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.137
0.139
0.1378
0.138
0.000748
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
88
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.141
0.143
0.142
0.142
0.000632
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
89
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.142
0.143
0.1428
0.143
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
90
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.145
0.145
0.145
0.145
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
91
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.144
0.145
0.1446
0.145
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
92
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.145
0.146
0.1458
0.146
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
93
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.147
0.148
0.1472
0.147
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
94
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.15
0.151
0.1504
0.15
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
95
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.153
0.153
0.153
0.153
0
0.002
0.003
0.0022
0.002
0.0004
null
null
null
null
null
2,560
32
32
16
1
4,096
96
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.155
0.156
0.1552
0.155
0.0004
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
97
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.152
0.153
0.1526
0.153
0.00049
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
98
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.155
0.155
0.155
0.155
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
99
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.156
0.158
0.1574
0.158
0.0008
0.002
0.002
0.002
0.002
0
null
null
null
null
null
2,560
32
32
16
1
4,096
100
0
32
false
AttentionBackend.FLASH_ATTENTION
End of preview.

No dataset card yet

Downloads last month
3