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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 | πΆ : fine-tuned | 39 | 0 | mit |
|
MaziyarPanahi/calme-3.1-baguette-3b | main | bfloat16 | Original | FINISHED | 2024-11-10T12:26:37 | πΆ : fine-tuned | 1 | 3.085 | other |
|
MaziyarPanahi/calme-3.1-instruct-3b | main | bfloat16 | Original | RUNNING | 2024-11-10T12:25:31 | πΆ : fine-tuned | 1 | 3.086 | other |
|
MaziyarPanahi/calme-3.1-llamaloi-3b | main | bfloat16 | Original | FINISHED | 2024-11-10T12:27:39 | πΆ : fine-tuned | 0 | 3.213 | llama3.2 |
|
MaziyarPanahi/calme-3.1-qwenloi-3b | main | bfloat16 | Original | FINISHED | 2024-11-10T12:28:02 | πΆ : fine-tuned | 1 | 3.086 | other |
|
MaziyarPanahi/calme-3.2-baguette-3b | main | bfloat16 | Original | RUNNING | 2024-11-10T12:26:52 | πΆ : fine-tuned | 0 | 3.085 | other |
|
MaziyarPanahi/calme-3.2-instruct-3b | main | bfloat16 | Original | RUNNING | 2024-11-10T12:25:53 | πΆ : fine-tuned | 0 | 3.086 | other |
|
MaziyarPanahi/calme-3.3-baguette-3b | main | bfloat16 | Original | PENDING | 2024-11-10T12:27:06 | πΆ : fine-tuned | 0 | 3.086 | other |
|
MaziyarPanahi/calme-3.3-instruct-3b | main | bfloat16 | Original | PENDING | 2024-11-10T12:26:08 | πΆ : fine-tuned | 0 | 3.086 | other |
|
NousResearch/Hermes-3-Llama-3.1-8B | main | float16 | Original | FINISHED | 2024-11-04T08:17:51 | πΆ : fine-tuned | 229 | 8.03 | llama3 |
|
OpenLLM-France/Claire-7B-FR-Instruct-0.1 | main | float16 | Original | COMPLETED | 2024-10-22T06:18:36 | πΆ : 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 | πΆ : fine-tuned | 94 | 14.77 | apache-2.0 |
|
Qwen/Qwen2.5-3B-Instruct | main | bfloat16 | Original | FINISHED | 2024-10-30T08:59:36 | πΆ : fine-tuned | 66 | 3.086 | other |
|
Qwen/Qwen2.5-7B-Instruct | main | bfloat16 | Original | FINISHED | 2024-10-30T08:59:41 | πΆ : fine-tuned | 228 | 7.616 | apache-2.0 |
|
bigscience/bloomz | main | float16 | Original | FAILED | 2024-10-22T21:11:46 | πΆ : 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 | πΆ : fine-tuned | 46 | 1.345 | mit |
|
google/gemma-2-9b | main | float16 | Original | FINISHED | 2024-10-23T09:09:26 | π’ : 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 | πΆ : fine-tuned | 10 | 13.96 | mit |
|
jpacifico/Chocolatine-3B-Instruct-DPO-v1.2 | main | float16 | Original | FINISHED | 2024-10-25T12:10:42 | πΆ : fine-tuned | 4 | 3.821 | mit |
|
meta-llama/Llama-3.1-8B | main | float16 | Original | FINISHED | 2024-10-22T14:30:14 | π’ : pretrained | 973 | 8.03 | llama3.1 |
|
microsoft/Phi-3-medium-4k-instruct | main | bfloat16 | Original | FINISHED | 2024-10-30T08:58:54 | πΆ : fine-tuned | 211 | 13.96 | mit |
|
microsoft/Phi-3-mini-4k-instruct | main | bfloat16 | Original | FINISHED | 2024-11-06T14:19:01 | πΆ : fine-tuned | 1,068 | 3.821 | mit |
|
microsoft/Phi-3-small-128k-instruct | main | bfloat16 | Original | RUNNING | 2024-11-06T14:19:36 | πΆ : 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 | πΆ : fine-tuned | 16 | 0 | apache-2.0 |
|
nvidia/Llama-3.1-Nemotron-70B-Instruct-HF | main | bfloat16 | Original | FAILED | 2024-10-23T09:37:05 | π¦ : RL-tuned | 1,034 | 70.554 | llama3.1 |
|
speakleash/Bielik-11B-v2.3-Instruct | main | float16 | Original | PENDING | 2024-11-20T13:27:53 | π¦ : RL-tuned | 27 | 11.169 | apache-2.0 |
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