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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowNotImplementedError
Message:      Cannot write struct type 'original_llm_scores' with no child field to Parquet. Consider adding a dummy child field.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 583, in write_table
                  self._build_writer(inferred_schema=pa_table.schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, in _build_writer
                  self.pa_writer = self._WRITER_CLASS(self.stream, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
                  self.writer = _parquet.ParquetWriter(
                File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
                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.ArrowNotImplementedError: Cannot write struct type 'original_llm_scores' with no child field to Parquet. Consider adding a dummy child field.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2027, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 602, in finalize
                  self._build_writer(self.schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, in _build_writer
                  self.pa_writer = self._WRITER_CLASS(self.stream, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
                  self.writer = _parquet.ParquetWriter(
                File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
                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.ArrowNotImplementedError: Cannot write struct type 'original_llm_scores' with no child field to Parquet. Consider adding a dummy child field.
              
              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 1529, 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 1154, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2038, 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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TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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meta-llama/Llama-2-7b-hf
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mistralai/Mistral-7B-v0.1
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huggyllama/llama-7b
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meta-llama/Llama-2-13b-hf
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huggyllama/llama-13b
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upstage/SOLAR-10.7B-v1.0
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maritaca-ai/sabia-7b
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dominguesm/canarim-7b
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recogna-nlp/bode-13b-alpaca-pt-br
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22h/cabrita-lora-v0-1
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nicolasdec/cabra13b
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lrds-code/samba-1.1B
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lrds-code/boana-7b-instruct
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nicholasKluge/Aira-2-portuguese-124M
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nicholasKluge/Aira-2-portuguese-560M
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nicholasKluge/Aira-2-portuguese-1B7
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dynamofl/dynamo-8B-v0.1
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01-ai/Yi-6B
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Unbabel/TowerBase-7B-v0.1
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tiiuae/falcon-7b
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bigscience/bloom-1b7
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bigscience/bloom-3b
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bigscience/bloom-7b1
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stabilityai/stablelm-3b-4e1t
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mistralai/Mixtral-8x7B-v0.1
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huggyllama/llama-30b
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01-ai/Yi-34B
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meta-llama/Llama-2-70b-hf
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huggyllama/llama-65b
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togethercomputer/RedPajama-INCITE-Base-3B-v1
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togethercomputer/RedPajama-INCITE-7B-Base
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Deci/DeciLM-6b
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Deci/DeciLM-7B
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THUDM/chatglm3-6b-base
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THUDM/glm-2b
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THUDM/glm-10b
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xverse/XVERSE-65B
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xverse/XVERSE-65B-2
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deepseek-ai/deepseek-llm-67b-base
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gpt2
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t5-base
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EleutherAI/pythia-70m-deduped
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EleutherAI/pythia-160m-deduped
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EleutherAI/pythia-410m-deduped
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EleutherAI/pythia-1b-deduped
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EleutherAI/pythia-2.8b-deduped
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EleutherAI/pythia-6.9b-deduped
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EleutherAI/gpt-neo-125m
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EleutherAI/gpt-neo-1.3B
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EleutherAI/gpt-neo-2.7B
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EleutherAI/gpt-j-6b
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EleutherAI/gpt-neox-20b
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facebook/opt-125m
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facebook/opt-350m
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facebook/opt-1.3b
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facebook/opt-2.7b
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facebook/opt-6.7b
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facebook/opt-13b
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facebook/opt-30b
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facebook/opt-66b
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tiiuae/falcon-40b
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pierreguillou/gpt2-small-portuguese
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pucpr/gpt2-bio-pt
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josu/gpt-neo-pt-br
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josu/gpt-neo-pt-1.3B
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monilouise/opt125M_portuguese
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HeyLucasLeao/gpt-neo-small-portuguese
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projecte-aina/FLOR-760M
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projecte-aina/FLOR-1.3B
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projecte-aina/FLOR-6.3B
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pfnet/plamo-13b
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AI-Sweden-Models/gpt-sw3-20b
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AI-Sweden-Models/gpt-sw3-40b
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OpenLLM-France/Claire-7B-0.1
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stabilityai/stablelm-base-alpha-3b-v2
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stabilityai/stablelm-base-alpha-7b-v2
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stabilityai/stablelm-base-alpha-3b
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stabilityai/stablelm-base-alpha-7b
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openai-community/openai-gpt
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openai-community/gpt2-medium
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openai-community/gpt2-large
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openai-community/gpt2-xl
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microsoft/phi-1
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microsoft/phi-1_5
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microsoft/phi-2
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mosaicml/mpt-30b
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mosaicml/mpt-7b-8k
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01-ai/Yi-6B-200K
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01-ai/Yi-34B-200K
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google/umt5-small
dict
google/umt5-base
dict
openlm-research/open_llama_3b
dict
openlm-research/open_llama_3b_v2
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openlm-research/open_llama_7b
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openlm-research/open_llama_7b_v2
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openlm-research/open_llama_13b
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22h/cabrita_7b_pt_850000
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DAMO-NLP-MT/polylm-13b
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internlm/internlm2-7b
dict
internlm/internlm2-base-7b
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internlm/internlm2-20b
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internlm/internlm2-base-20b
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google/mt5-small
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google/mt5-base
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google/mt5-large
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unicamp-dl/ptt5-small-portuguese-vocab
dict
unicamp-dl/ptt5-base-portuguese-vocab
dict
unicamp-dl/ptt5-large-portuguese-vocab
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unicamp-dl/ptt5-small-t5-vocab
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unicamp-dl/ptt5-base-t5-vocab
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unicamp-dl/ptt5-large-t5-vocab
dict
google/t5-v1_1-base
dict
google/t5-v1_1-small
dict
google/t5-v1_1-large
dict
google/t5-v1_1-xl
dict
google/t5-v1_1-xxl
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google/mt5-xl
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google/mt5-xxl
dict
google/umt5-xxl
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AdaptLLM/law-LLM
dict
AdaptLLM/medicine-LLM
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AdaptLLM/finance-LLM
dict
AdaptLLM/law-LLM-13B
dict
AdaptLLM/medicine-LLM-13B
dict
AdaptLLM/finance-LLM-13B
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cerebras/Cerebras-GPT-111M
dict
cerebras/Cerebras-GPT-256M
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cerebras/Cerebras-GPT-590M
dict
cerebras/Cerebras-GPT-1.3B
dict
cerebras/Cerebras-GPT-2.7B
dict
cerebras/Cerebras-GPT-6.7B
dict
cerebras/Cerebras-GPT-13B
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cerebras/btlm-3b-8k-base
dict
ai-forever/mGPT-13B
dict
ai-forever/mGPT
dict
EleutherAI/pythia-70m
dict
EleutherAI/pythia-160m
dict
EleutherAI/pythia-410m
dict
EleutherAI/pythia-1b
dict
EleutherAI/pythia-2.8b
dict
EleutherAI/pythia-6.9b
dict
EleutherAI/pythia-12b
dict
facebook/galactica-125m
dict
facebook/galactica-1.3b
dict
facebook/galactica-6.7b
dict
facebook/galactica-30b
dict
facebook/xglm-564M
dict
facebook/xglm-1.7B
dict
facebook/xglm-2.9B
dict
facebook/xglm-4.5B
dict
facebook/xglm-7.5B
dict
CohereForAI/aya-101
dict
Qwen/Qwen1.5-1.8B
dict
Qwen/Qwen1.5-4B
dict
Qwen/Qwen1.5-7B
dict
Qwen/Qwen1.5-14B
dict
Qwen/Qwen1.5-72B
dict
allenai/OLMo-1B
dict
allenai/OLMo-7B
dict
allenai/OLMo-7B-Twin-2T
dict
internlm/internlm2-1_8b
dict
internlm/internlm2-chat-1_8b
dict
internlm/internlm2-chat-7b
dict
internlm/internlm2-chat-20b
dict
THUDM/chatglm3-6b
dict
google/gemma-2b
dict
google/gemma-2b-it
dict
google/gemma-7b
dict
google/gemma-7b-it
dict
Qwen/Qwen-1_8B-Chat
dict
Qwen/Qwen1.5-0.5B-Chat
dict
Qwen/Qwen1.5-1.8B-Chat
dict
Qwen/Qwen1.5-14B-Chat
dict
Qwen/Qwen1.5-4B-Chat
dict
eduagarcia/gemma-7b-it_no_chat_template
dict
eduagarcia/gemma-7b-it_singleturn_chat_template
dict
Qwen/Qwen1.5-7B-Chat
dict
Qwen/Qwen-7B-Chat
dict
Qwen/Qwen-72B-Chat
dict
stabilityai/stablelm-2-zephyr-1_6b
dict
stabilityai/stablelm-zephyr-3b
dict
recogna-nlp/internlmbode-7b
dict
THUDM/chatglm3-6b-32k
dict
THUDM/chatglm3-6b-128k
dict
THUDM/LongAlign-6B-64k
dict
THUDM/LongAlign-6B-64k-base
dict
THUDM/agentlm-7b
dict
THUDM/LongAlign-7B-64k
dict
THUDM/chatglm2-6b
dict
THUDM/WebGLM-2B
dict
databricks/dbrx-instruct
dict
databricks/dbrx-base
dict
ai21labs/Jamba-v0.1
dict
state-spaces/mamba-2.8b-hf
dict
state-spaces/mamba-1.4b-hf
dict
state-spaces/mamba-790m-hf
dict
state-spaces/mamba-370m-hf
dict
state-spaces/mamba-130m-hf
dict
google/gemma-1.1-7b-it
dict
google/gemma-1.1-2b-it
dict
CohereForAI/c4ai-command-r-plus
dict
Weni/WeniGPT-2.2.3-Zephyr-7B-merged-LLM_Base_2.0.3_SFT
dict
Qwen/Qwen1.5-MoE-A2.7B
dict
Qwen/Qwen1.5-MoE-A2.7B-Chat
dict
01-ai/Yi-9B
dict
01-ai/Yi-9B-200k
dict
deepseek-ai/deepseek-moe-16b-chat
dict
internlm/internlm2-chat-1_8b-sft
dict
internlm/internlm2-chat-7b-sft
dict
internlm/internlm2-chat-20b-sft
dict
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{ "likes": 75, "license": null, "still_on_hub": true, "tags": [], "downloads": 3345, "created_at": "2023-11-08T22:13:36", "original_llm_scores": {} }
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{ "likes": 13, "license": "mit", "still_on_hub": false, "tags": [], "downloads": 106, "created_at": "2023-10-12T04:44:00", "original_llm_scores": {} }
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{ "likes": 2, "license": "other", "still_on_hub": true, "tags": [], "downloads": 993, "created_at": "2023-08-07T20:54:03", "original_llm_scores": {} }
{ "likes": 4, "license": "other", "still_on_hub": true, "tags": [], "downloads": 1001, "created_at": "2023-08-09T18:29:30", "original_llm_scores": {} }
{ "likes": 5, "license": "llama2", "still_on_hub": true, "tags": [], "downloads": 1405, "created_at": "2024-01-13T21:40:00", "original_llm_scores": {} }
{ "likes": 3, "license": "llama2", "still_on_hub": true, "tags": [], "downloads": 994, "created_at": "2024-01-20T14:06:08", "original_llm_scores": {} }
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{ "likes": 84, "license": "bigscience-bloom-rail-1.0", "still_on_hub": true, "tags": [], "downloads": 19467, "created_at": "2022-05-19T11:52:27", "original_llm_scores": { "float16": 36.07003025101667 } }
{ "likes": 180, "license": "bigscience-bloom-rail-1.0", "still_on_hub": true, "tags": [], "downloads": 229398, "created_at": "2022-05-19T11:53:18", "original_llm_scores": { "float16": 39.17746104462925 } }
{ "likes": 156, "license": "other", "still_on_hub": true, "tags": [], "downloads": 46614, "created_at": "2024-01-18T15:49:15", "original_llm_scores": { "bfloat16": 45.254773923509426 } }
{ "likes": 306, "license": "cc-by-sa-4.0", "still_on_hub": true, "tags": [], "downloads": 21768, "created_at": "2023-09-29T06:05:21", "original_llm_scores": { "float16": 46.579707042613045 } }
{ "likes": 1486, "license": "apache-2.0", "still_on_hub": true, "tags": [ "moe" ], "downloads": 334780, "created_at": "2023-12-01T09:42:00", "original_llm_scores": { "bfloat16": 68.41996524230247, "4bit": 65.81251334745193, "float16": 68.47189963839766 } }
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