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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Float value 3.085 was truncated converting to int64
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2245, in cast_table_to_schema
                  arrays = [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2246, in <listcomp>
                  cast_array_to_feature(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp>
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2102, in cast_array_to_feature
                  return array_cast(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1949, in array_cast
                  return array.cast(pa_type)
                File "pyarrow/array.pxi", line 996, in pyarrow.lib.Array.cast
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/compute.py", line 404, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 590, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 385, in pyarrow._compute.Function.call
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Float value 3.085 was truncated converting to int64
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1417, 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 1049, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1897, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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model
string
base_model
string
revision
string
precision
string
weight_type
string
status
string
submitted_time
timestamp[us]
model_type
string
likes
int64
params
float64
license
string
Cedille/fr-boris
main
float16
Original
FINISHED
2024-10-22T21:27:16
πŸ”Ά : fine-tuned
39
0
mit
MaziyarPanahi/calme-3.1-baguette-3b
main
bfloat16
Original
FINISHED
2024-11-10T12:26:37
πŸ”Ά : fine-tuned
1
3.085
other
MaziyarPanahi/calme-3.1-instruct-3b
main
bfloat16
Original
RUNNING
2024-11-10T12:25:31
πŸ”Ά : fine-tuned
1
3.086
other
MaziyarPanahi/calme-3.1-llamaloi-3b
main
bfloat16
Original
FINISHED
2024-11-10T12:27:39
πŸ”Ά : fine-tuned
0
3.213
llama3.2
MaziyarPanahi/calme-3.1-qwenloi-3b
main
bfloat16
Original
FINISHED
2024-11-10T12:28:02
πŸ”Ά : fine-tuned
1
3.086
other
MaziyarPanahi/calme-3.2-baguette-3b
main
bfloat16
Original
RUNNING
2024-11-10T12:26:52
πŸ”Ά : fine-tuned
0
3.085
other
MaziyarPanahi/calme-3.2-instruct-3b
main
bfloat16
Original
RUNNING
2024-11-10T12:25:53
πŸ”Ά : fine-tuned
0
3.086
other
MaziyarPanahi/calme-3.3-baguette-3b
main
bfloat16
Original
PENDING
2024-11-10T12:27:06
πŸ”Ά : fine-tuned
0
3.086
other
MaziyarPanahi/calme-3.3-instruct-3b
main
bfloat16
Original
PENDING
2024-11-10T12:26:08
πŸ”Ά : fine-tuned
0
3.086
other
NousResearch/Hermes-3-Llama-3.1-8B
main
float16
Original
FINISHED
2024-11-04T08:17:51
πŸ”Ά : fine-tuned
229
8.03
llama3
OpenLLM-France/Claire-7B-FR-Instruct-0.1
main
float16
Original
COMPLETED
2024-10-22T06:18:36
πŸ”Ά : fine-tuned
2
6.922
cc-by-nc-sa-4.0
Qwen/Qwen2.5-14B-Instruct
main
bfloat16
Original
PENDING
2024-10-30T08:59:46
πŸ”Ά : fine-tuned
94
14.77
apache-2.0
Qwen/Qwen2.5-3B-Instruct
main
bfloat16
Original
FINISHED
2024-10-30T08:59:36
πŸ”Ά : fine-tuned
66
3.086
other
Qwen/Qwen2.5-7B-Instruct
main
bfloat16
Original
FINISHED
2024-10-30T08:59:41
πŸ”Ά : fine-tuned
228
7.616
apache-2.0
bigscience/bloomz
main
float16
Original
FAILED
2024-10-22T21:11:46
πŸ”Ά : fine-tuned
508
176.247
bigscience-bloom-rail-1.0
bofenghuang/vigostral-7b-chat
main
bfloat16
Original
FINISHED
2024-10-23T12:05:36
β­• : instruction-tuned
28
0
apache-2.0
croissantllm/CroissantLLMChat-v0.1
main
float16
Original
FINISHED
2024-10-22T21:10:51
πŸ”Ά : fine-tuned
46
1.345
mit
google/gemma-2-9b
main
float16
Original
FINISHED
2024-10-23T09:09:26
🟒 : pretrained
572
9.242
gemma
ibm-granite/granite-3.0-8b-instruct
main
bfloat16
Original
FINISHED
2024-10-23T12:05:03
β­• : instruction-tuned
67
8.171
apache-2.0
jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
main
float16
Original
FINISHED
2024-10-25T12:06:03
πŸ”Ά : fine-tuned
10
13.96
mit
jpacifico/Chocolatine-3B-Instruct-DPO-v1.2
main
float16
Original
FINISHED
2024-10-25T12:10:42
πŸ”Ά : fine-tuned
4
3.821
mit
meta-llama/Llama-3.1-8B
main
float16
Original
FINISHED
2024-10-22T14:30:14
🟒 : pretrained
973
8.03
llama3.1
microsoft/Phi-3-medium-4k-instruct
main
bfloat16
Original
FINISHED
2024-10-30T08:58:54
πŸ”Ά : fine-tuned
211
13.96
mit
microsoft/Phi-3-mini-4k-instruct
main
bfloat16
Original
FINISHED
2024-11-06T14:19:01
πŸ”Ά : fine-tuned
1,068
3.821
mit
microsoft/Phi-3-small-128k-instruct
main
bfloat16
Original
RUNNING
2024-11-06T14:19:36
πŸ”Ά : fine-tuned
170
7.392
mit
mistralai/Ministral-8B-Instruct-2410
main
bfloat16
Original
FINISHED
2024-10-23T09:38:47
β­• : instruction-tuned
252
8.02
other
mistralai/Mixtral-8x7B-Instruct-v0.1
main
float16
Original
FAILED
2024-10-22T21:26:17
β­• : instruction-tuned
4,170
46.703
apache-2.0
moussaKam/barthez
main
float16
Original
FAILED
2024-10-22T06:28:02
πŸ”Ά : fine-tuned
16
0
apache-2.0
nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
main
bfloat16
Original
FAILED
2024-10-23T09:37:05
🟦 : RL-tuned
1,034
70.554
llama3.1
speakleash/Bielik-11B-v2.3-Instruct
main
float16
Original
PENDING
2024-11-20T13:27:53
🟦 : RL-tuned
27
11.169
apache-2.0