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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 55 new columns ({'time_stats.mlp_up_proj.min', 'time_stats.post_attention_layernorm.std', 'time_stats.emb.mean', 'time_stats.mlp_act.min', 'time_stats.attn_post_proj.min', 'time_stats.add.std', 'time_stats.mlp_down_proj.median', 'n_head', 'time_stats.mlp_act.std', 'time_stats.add.max', 'vocab_size', 'time_stats.mlp_up_proj.mean', 'time_stats.attn_pre_proj.median', 'time_stats.attn_post_proj.median', 'time_stats.mlp_down_proj.mean', 'time_stats.mlp_down_proj.max', 'time_stats.mlp_act.mean', 'time_stats.mlp_up_proj.median', 'time_stats.input_layernorm.median', 'time_stats.attn_post_proj.std', 'time_stats.input_layernorm.mean', 'time_stats.attn_rope.median', 'time_stats.mlp_up_proj.max', 'time_stats.attn_post_proj.max', 'time_stats.attn_rope.std', 'time_stats.post_attention_layernorm.mean', 'time_stats.attn_pre_proj.min', 'time_stats.emb.median', 'time_stats.mlp_up_proj.std', 'time_stats.attn_rope.min', 'time_stats.mlp_act.max', 'time_stats.add.mean', 'time_stats.input_layernorm.std', 'time_stats.mlp_act.median', 'time_stats.add.median', 'time_stats.input_layernorm.max', 'time_stats.attn_post_proj.mean', 'time_stats.add.min', 'use_gated_mlp', 'num_tokens', 'time_stats.attn_pre_proj.mean', 'time_stats.mlp_down_proj.min', 'time_stats.mlp_down_proj.std', 'time_stats.attn_rope.mean', 'time_stats.emb.min', 'time_stats.attn_pre_proj.std', 'time_stats.attn_rope.max', 'time_stats.post_attention_layernorm.max', 'n_expanded_embd', 'time_stats.post_attention_layernorm.min', 'time_stats.input_layernorm.min', 'time_stats.emb.max', 'time_stats.attn_pre_proj.max', 'time_stats.emb.std', 'time_stats.post_attention_layernorm.median'}) and 28 missing columns ({'time_stats.attn_prefill.median', 'time_stats.attn_decode.max', 'prefill_chunk_size', 'block_size', 'kv_cache_size', 'time_stats.attn_prefill.min', 'n_q_head', 'time_stats.attn_output_reshape.max', 'time_stats.attn_input_reshape.std', 'time_stats.attn_prefill.std', 'time_stats.attn_prefill.max', 'time_stats.attn_output_reshape.median', 'time_stats.attn_input_reshape.median', 'time_stats.attn_decode.mean', 'time_stats.attn_output_reshape.min', 'time_stats.attn_output_reshape.std', 'time_stats.attn_prefill.mean', 'time_stats.attn_input_reshape.min', 'time_stats.attn_decode.min', 'time_stats.attn_output_reshape.mean', 'attention_backend', 'time_stats.attn_decode.median', 'time_stats.attn_input_reshape.max', 'time_stats.attn_input_reshape.mean', 'max_model_len', 'is_prefill', 'batch_size', 'time_stats.attn_decode.std'}).
This happened while the csv dataset builder was generating data using
hf://datasets/project-vajra/dev-staging-codellama-codellama-34b-instruct-hf-a40/mlp.csv (at revision a43e7ec9a47e7fc775fd972299a0288386d87783)
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.post_attention_layernorm.min: double
time_stats.post_attention_layernorm.max: double
time_stats.post_attention_layernorm.mean: double
time_stats.post_attention_layernorm.median: double
time_stats.post_attention_layernorm.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, "' + 8978
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 55 new columns ({'time_stats.mlp_up_proj.min', 'time_stats.post_attention_layernorm.std', 'time_stats.emb.mean', 'time_stats.mlp_act.min', 'time_stats.attn_post_proj.min', 'time_stats.add.std', 'time_stats.mlp_down_proj.median', 'n_head', 'time_stats.mlp_act.std', 'time_stats.add.max', 'vocab_size', 'time_stats.mlp_up_proj.mean', 'time_stats.attn_pre_proj.median', 'time_stats.attn_post_proj.median', 'time_stats.mlp_down_proj.mean', 'time_stats.mlp_down_proj.max', 'time_stats.mlp_act.mean', 'time_stats.mlp_up_proj.median', 'time_stats.input_layernorm.median', 'time_stats.attn_post_proj.std', 'time_stats.input_layernorm.mean', 'time_stats.attn_rope.median', 'time_stats.mlp_up_proj.max', 'time_stats.attn_post_proj.max', 'time_stats.attn_rope.std', 'time_stats.post_attention_layernorm.mean', 'time_stats.attn_pre_proj.min', 'time_stats.emb.median', 'time_stats.mlp_up_proj.std', 'time_stats.attn_rope.min', 'time_stats.mlp_act.max', 'time_stats.add.mean', 'time_stats.input_layernorm.std', 'time_stats.mlp_act.median', 'time_stats.add.median', 'time_stats.input_layernorm.max', 'time_stats.attn_post_proj.mean', 'time_stats.add.min', 'use_gated_mlp', 'num_tokens', 'time_stats.attn_pre_proj.mean', 'time_stats.mlp_down_proj.min', 'time_stats.mlp_down_proj.std', 'time_stats.attn_rope.mean', 'time_stats.emb.min', 'time_stats.attn_pre_proj.std', 'time_stats.attn_rope.max', 'time_stats.post_attention_layernorm.max', 'n_expanded_embd', 'time_stats.post_attention_layernorm.min', 'time_stats.input_layernorm.min', 'time_stats.emb.max', 'time_stats.attn_pre_proj.max', 'time_stats.emb.std', 'time_stats.post_attention_layernorm.median'}) and 28 missing columns ({'time_stats.attn_prefill.median', 'time_stats.attn_decode.max', 'prefill_chunk_size', 'block_size', 'kv_cache_size', 'time_stats.attn_prefill.min', 'n_q_head', 'time_stats.attn_output_reshape.max', 'time_stats.attn_input_reshape.std', 'time_stats.attn_prefill.std', 'time_stats.attn_prefill.max', 'time_stats.attn_output_reshape.median', 'time_stats.attn_input_reshape.median', 'time_stats.attn_decode.mean', 'time_stats.attn_output_reshape.min', 'time_stats.attn_output_reshape.std', 'time_stats.attn_prefill.mean', 'time_stats.attn_input_reshape.min', 'time_stats.attn_decode.min', 'time_stats.attn_output_reshape.mean', 'attention_backend', 'time_stats.attn_decode.median', 'time_stats.attn_input_reshape.max', 'time_stats.attn_input_reshape.mean', 'max_model_len', 'is_prefill', 'batch_size', 'time_stats.attn_decode.std'}).
This happened while the csv dataset builder was generating data using
hf://datasets/project-vajra/dev-staging-codellama-codellama-34b-instruct-hf-a40/mlp.csv (at revision a43e7ec9a47e7fc775fd972299a0288386d87783)
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 | 0.007 | 0.007 | 0.007 | 0.007 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 1 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.007 | 0.007 | 0.007 | 0.007 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 2 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.007 | 0.007 | 0.007 | 0.007 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 3 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.008 | 0.008 | 0.008 | 0.008 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 4 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.008 | 0.008 | 0.008 | 0.008 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 5 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.008 | 0.008 | 0.008 | 0.008 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 6 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.008 | 0.008 | 0.008 | 0.008 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 7 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.008 | 0.008 | 0.008 | 0.008 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 8 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.008 | 0.008 | 0.008 | 0.008 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 9 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.008 | 0.008 | 0.008 | 0.008 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 10 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.014 | 0.014 | 0.014 | 0.014 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 11 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.014 | 0.014 | 0.014 | 0.014 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 12 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.014 | 0.014 | 0.014 | 0.014 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 13 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.014 | 0.014 | 0.014 | 0.014 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 14 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.014 | 0.014 | 0.014 | 0.014 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 15 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.014 | 0.014 | 0.014 | 0.014 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 16 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.014 | 0.014 | 0.014 | 0.014 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 17 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.014 | 0.014 | 0.014 | 0.014 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 18 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.015 | 0.015 | 0.015 | 0.015 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 19 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.015 | 0.015 | 0.015 | 0.015 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 20 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.015 | 0.015 | 0.015 | 0.015 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 21 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.02 | 0.02 | 0.02 | 0.02 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 22 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.02 | 0.021 | 0.0202 | 0.02 | 0.0004 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 23 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.021 | 0.021 | 0.021 | 0.021 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 24 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.021 | 0.021 | 0.021 | 0.021 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 25 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.021 | 0.021 | 0.021 | 0.021 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 26 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.021 | 0.022 | 0.0216 | 0.022 | 0.00049 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 27 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.022 | 0.022 | 0.022 | 0.022 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 28 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.021 | 0.022 | 0.0218 | 0.022 | 0.0004 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 29 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.023 | 0.023 | 0.023 | 0.023 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 30 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.023 | 0.024 | 0.0236 | 0.024 | 0.00049 | 0.002 | 0.002 | 0.002 | 0.002 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 31 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.028 | 0.028 | 0.028 | 0.028 | 0 | 0.001 | 0.001 | 0.001 | 0.001 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 32 | 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 | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 33 | 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 | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 34 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.03 | 0.03 | 0.03 | 0.03 | 0 | 0.002 | 0.002 | 0.002 | 0.002 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 35 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.031 | 0.031 | 0.031 | 0.031 | 0 | 0.002 | 0.002 | 0.002 | 0.002 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 36 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.031 | 0.031 | 0.031 | 0.031 | 0 | 0.002 | 0.002 | 0.002 | 0.002 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 37 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.031 | 0.032 | 0.0314 | 0.031 | 0.00049 | 0.002 | 0.002 | 0.002 | 0.002 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 38 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.032 | 0.032 | 0.032 | 0.032 | 0 | 0.002 | 0.002 | 0.002 | 0.002 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 39 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.032 | 0.033 | 0.0328 | 0.033 | 0.0004 | 0.002 | 0.002 | 0.002 | 0.002 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 40 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.033 | 0.033 | 0.033 | 0.033 | 0 | 0.002 | 0.002 | 0.002 | 0.002 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 41 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.034 | 0.034 | 0.034 | 0.034 | 0 | 0.002 | 0.002 | 0.002 | 0.002 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 42 | 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 | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 43 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.038 | 0.039 | 0.0382 | 0.038 | 0.0004 | 0.002 | 0.002 | 0.002 | 0.002 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 44 | 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 | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 45 | 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 | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 46 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.04 | 0.04 | 0.04 | 0.04 | 0 | 0.002 | 0.002 | 0.002 | 0.002 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 47 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.041 | 0.041 | 0.041 | 0.041 | 0 | 0.002 | 0.002 | 0.002 | 0.002 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 48 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.041 | 0.041 | 0.041 | 0.041 | 0 | 0.002 | 0.002 | 0.002 | 0.002 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 49 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.042 | 0.042 | 0.042 | 0.042 | 0 | 0.002 | 0.003 | 0.0022 | 0.002 | 0.0004 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 50 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.041 | 0.042 | 0.0416 | 0.042 | 0.00049 | 0.002 | 0.002 | 0.002 | 0.002 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 51 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.042 | 0.043 | 0.0424 | 0.042 | 0.00049 | 0.002 | 0.002 | 0.002 | 0.002 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 52 | 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 | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 53 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.046 | 0.046 | 0.046 | 0.046 | 0 | 0.002 | 0.002 | 0.002 | 0.002 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 54 | 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 | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 55 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.047 | 0.047 | 0.047 | 0.047 | 0 | 0.002 | 0.003 | 0.0022 | 0.002 | 0.0004 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 56 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.047 | 0.048 | 0.0478 | 0.048 | 0.0004 | 0.002 | 0.003 | 0.0024 | 0.002 | 0.00049 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 57 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.048 | 0.048 | 0.048 | 0.048 | 0 | 0.002 | 0.002 | 0.002 | 0.002 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 58 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.049 | 0.049 | 0.049 | 0.049 | 0 | 0.002 | 0.003 | 0.0024 | 0.002 | 0.00049 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 59 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.049 | 0.049 | 0.049 | 0.049 | 0 | 0.002 | 0.003 | 0.0028 | 0.003 | 0.0004 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 60 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.05 | 0.05 | 0.05 | 0.05 | 0 | 0.002 | 0.003 | 0.0026 | 0.003 | 0.00049 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 61 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.05 | 0.05 | 0.05 | 0.05 | 0 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 62 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.051 | 0.051 | 0.051 | 0.051 | 0 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 63 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.053 | 0.053 | 0.053 | 0.053 | 0 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 64 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.054 | 0.054 | 0.054 | 0.054 | 0 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 65 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.054 | 0.055 | 0.0546 | 0.055 | 0.00049 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 66 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.055 | 0.055 | 0.055 | 0.055 | 0 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 67 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.055 | 0.056 | 0.0558 | 0.056 | 0.0004 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 68 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.056 | 0.057 | 0.0562 | 0.056 | 0.0004 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 69 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.057 | 0.057 | 0.057 | 0.057 | 0 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 70 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.057 | 0.057 | 0.057 | 0.057 | 0 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 71 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.058 | 0.058 | 0.058 | 0.058 | 0 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 72 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.058 | 0.059 | 0.0582 | 0.058 | 0.0004 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 73 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.06 | 0.061 | 0.0604 | 0.06 | 0.00049 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 74 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.061 | 0.061 | 0.061 | 0.061 | 0 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 75 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.061 | 0.062 | 0.0616 | 0.062 | 0.00049 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 76 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.062 | 0.063 | 0.0622 | 0.062 | 0.0004 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 77 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.062 | 0.063 | 0.0622 | 0.062 | 0.0004 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 78 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.063 | 0.063 | 0.063 | 0.063 | 0 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 79 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.064 | 0.064 | 0.064 | 0.064 | 0 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 80 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.064 | 0.065 | 0.0644 | 0.064 | 0.00049 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 81 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.065 | 0.065 | 0.065 | 0.065 | 0 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 82 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.065 | 0.065 | 0.065 | 0.065 | 0 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 83 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.065 | 0.065 | 0.065 | 0.065 | 0 | 0.003 | 0.004 | 0.0032 | 0.003 | 0.0004 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 84 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.067 | 0.067 | 0.067 | 0.067 | 0 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 85 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.068 | 0.068 | 0.068 | 0.068 | 0 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 86 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.069 | 0.069 | 0.069 | 0.069 | 0 | 0.003 | 0.004 | 0.0032 | 0.003 | 0.0004 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 87 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.07 | 0.07 | 0.07 | 0.07 | 0 | 0.003 | 0.004 | 0.0034 | 0.003 | 0.00049 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 88 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.071 | 0.071 | 0.071 | 0.071 | 0 | 0.003 | 0.004 | 0.0032 | 0.003 | 0.0004 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 89 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.071 | 0.071 | 0.071 | 0.071 | 0 | 0.003 | 0.004 | 0.0034 | 0.003 | 0.00049 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 90 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.072 | 0.072 | 0.072 | 0.072 | 0 | 0.003 | 0.003 | 0.003 | 0.003 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 91 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.073 | 0.073 | 0.073 | 0.073 | 0 | 0.003 | 0.004 | 0.0036 | 0.004 | 0.00049 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 92 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.073 | 0.073 | 0.073 | 0.073 | 0 | 0.003 | 0.004 | 0.0036 | 0.004 | 0.00049 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 93 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.073 | 0.074 | 0.0734 | 0.073 | 0.00049 | 0.004 | 0.004 | 0.004 | 0.004 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 94 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.075 | 0.075 | 0.075 | 0.075 | 0 | 0.003 | 0.004 | 0.0036 | 0.004 | 0.00049 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 95 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.076 | 0.076 | 0.076 | 0.076 | 0 | 0.004 | 0.004 | 0.004 | 0.004 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 96 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.077 | 0.077 | 0.077 | 0.077 | 0 | 0.003 | 0.004 | 0.0038 | 0.004 | 0.0004 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 97 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.077 | 0.078 | 0.0774 | 0.077 | 0.00049 | 0.003 | 0.004 | 0.0036 | 0.004 | 0.00049 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 98 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.078 | 0.078 | 0.078 | 0.078 | 0 | 0.004 | 0.004 | 0.004 | 0.004 | 0 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 99 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
0 | 0 | 0 | 0 | 0 | 0.079 | 0.079 | 0.079 | 0.079 | 0 | 0.003 | 0.004 | 0.0038 | 0.004 | 0.0004 | null | null | null | null | null | 8,192 | 64 | 8 | 16 | 1 | 4,096 | 100 | 0 | 32 | false | AttentionBackend.FLASH_ATTENTION |
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