Add files using upload-large-folder tool

.gitattributes

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+    cli_version: 0.17.0
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lm-evaluation-harness/wandb/run-20240514_103054-vz3w7dby/files/output.log

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+
+2024-05-14:10:30:54,713 INFO     [__main__.py:251] Verbosity set to INFO
+2024-05-14:10:30:59,157 INFO     [__main__.py:335] Selected Tasks: ['indiccopa-hi']
+2024-05-14:10:30:59,159 INFO     [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+2024-05-14:10:30:59,159 INFO     [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/data/cronscript/ckpts//hf_ckpt//global_step120'}
+Traceback (most recent call last):
+  File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/data/cronscript/ckpts//hf_ckpt//global_step120'. Use `repo_type` argument if needed.
+The above exception was the direct cause of the following exception:
+Traceback (most recent call last):
+  File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/data/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 417, in <module>
+    cli_evaluate()
+  File "/data/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate
+    results = evaluator.simple_evaluate(
+  File "/data/cronscript/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper
+    return fn(*args, **kwargs)
+  File "/data/cronscript/lm-evaluation-harness/lm_eval/evaluator.py", line 180, in simple_evaluate
+    lm = lm_eval.api.registry.get_model(model).create_from_arg_string(
+  File "/data/cronscript/lm-evaluation-harness/lm_eval/api/model.py", line 134, in create_from_arg_string
+    return cls(**args, **args2)
+  File "/data/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__
+    self._get_config(
+  File "/data/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 471, in _get_config
+    self._config = transformers.AutoConfig.from_pretrained(
+  File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py", line 928, in from_pretrained
+    config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/data/cronscript/ckpts//hf_ckpt//global_step120'. Please provide either the path to a local folder or the repo_id of a model on the Hub.

lm-evaluation-harness/wandb/run-20240514_103054-vz3w7dby/files/requirements.txt

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+docker-pycreds==0.4.0
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+evaluate==0.4.2
+exceptiongroup==1.2.0
+expecttest==0.2.1
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+frozenlist==1.4.1
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+google-auth==2.29.0
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+hjson==3.1.0
+httpcore==1.0.5
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+numpy==1.23.5
+oauthlib==3.2.2
+omegaconf==2.3.0
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+packaging==24.0
+pandas==2.0.1
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+peft==0.10.0
+perfetto==0.7.0
+pip==22.0.2
+pip==23.3.1
+platformdirs==4.2.0
+pluggy==1.4.0
+portalocker==2.8.2
+pre-commit==3.3.3
+protobuf==3.20.3
+psutil==5.9.8
+py-cpuinfo==9.0.0
+pyarrow-hotfix==0.6
+pyarrow==16.0.0
+pyasn1==0.6.0
+pyasn1_modules==0.4.0
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+pycountry==23.12.11
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+pynvml==8.0.4
+pytablewriter==1.2.0
+pytest==8.1.1
+python-dateutil==2.9.0.post0
+pytorch-lightning==2.2.2
+pytz==2024.1
+regex==2023.5.5
+requests-oauthlib==2.0.0
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+rouge_score==0.1.2
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+sacrebleu==1.5.0
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+tzdata==2024.1
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+wheel==0.43.0
+word2number==1.1
+xxhash==3.4.1
+yamllint==1.35.1
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+zstandard==0.22.0

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+      task: indiccopa-hi
+      group: ai4bharat/IndicCOPA
+      dataset_path: ai4bharat/IndicCOPA
+      dataset_name: translation-hi
+      test_split: test
+      doc_to_text: 'functools.partial(<function doc_to_text at 0x7fc61d68d090>, connector={''cause'':
+        ''कारण'', ''effect'': ''परिणाम''})'
+      doc_to_target: label
+      doc_to_choice: "def doc_to_choice(doc):\n    return [convert_choice(doc[\"choice1\"\
+        ]), convert_choice(doc[\"choice2\"])]\n"
+      description: ''
+      target_delimiter: ' '
+      fewshot_delimiter: '
+
+
+        '
+      num_fewshot: 0
+      metric_list:
+      - metric: acc
+      output_type: multiple_choice
+      repeats: 1
+      should_decontaminate: false
+      metadata:
+        version: 1.0
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+  desc: null
+  value:
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+    model_args: pretrained=/data/cronscript/ckpts//hf_ckpt//global_step100
+    batch_size: auto
+    batch_sizes:
+    - 64
+    device: null
+    use_cache: null
+    limit: null
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lm-evaluation-harness/wandb/run-20240514_163428-9ixw6vnd/files/media/table/evaluation/eval_results_1_c78c57917f215d296d9d.table.json

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+{"columns": ["Tasks", "Version", "Filter", "num_fewshot", "Metric", "Value", "Stderr"], "data": [["indiccopa-hi", 1.0, "none", 0, "acc", "0.534521158129176", "0.0236"]]}

lm-evaluation-harness/wandb/run-20240514_163428-9ixw6vnd/files/output.log

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+
+2024-05-14:16:34:29,263 INFO     [__main__.py:251] Verbosity set to INFO
+2024-05-14:16:34:34,001 INFO     [__main__.py:335] Selected Tasks: ['indiccopa-hi']
+2024-05-14:16:34:34,003 INFO     [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+2024-05-14:16:34:34,003 INFO     [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/data/cronscript/ckpts//hf_ckpt//global_step100'}
+/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/gpu_migration/torch/cuda/memory.py:36: UserWarning: No need to call empty_cache on HPU. It manages the memory internally in an effcient way.
+  warnings.warn(
+/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
+  warnings.warn(
+You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama.LlamaTokenizer'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565
+[2024-05-14 16:34:40,705] [INFO] [real_accelerator.py:178:get_accelerator] Setting ds_accelerator to hpu (auto detect)
+2024-05-14:16:34:41,102 INFO     [huggingface.py:334] Using 8 devices with data parallelism
+2024-05-14:16:34:41,106 WARNING  [task.py:763] [Task: indiccopa-hi] metric acc is defined, but aggregation is not. using default aggregation=mean
+2024-05-14:16:34:41,106 WARNING  [task.py:775] [Task: indiccopa-hi] metric acc is defined, but higher_is_better is not. using default higher_is_better=True
+/usr/local/lib/python3.10/dist-packages/datasets/load.py:1486: FutureWarning: The repository for ai4bharat/IndicCOPA contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/ai4bharat/IndicCOPA
+You can avoid this message in future by passing the argument `trust_remote_code=True`.
+Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.
+  warnings.warn(
+2024-05-14:16:34:42,518 WARNING  [task.py:322] [Task: indiccopa-hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.
+2024-05-14:16:34:42,518 WARNING  [task.py:322] [Task: indiccopa-hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.
+2024-05-14:16:34:42,538 INFO     [task.py:395] Building contexts for indiccopa-hi on rank 0...
+100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 57/57 [00:00<00:00, 98914.08it/s]
+2024-05-14:16:34:44,718 INFO     [evaluator.py:379] Running loglikelihood requests
+Running loglikelihood requests:   0%|                                                                                                                        | 0/114 [00:00<?, ?it/s]/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/gpu_migration/torch/cuda/memory.py:36: UserWarning: No need to call empty_cache on HPU. It manages the memory internally in an effcient way.
+  warnings.warn(
+Passed argument batch_size = auto:1. Detecting largest batch size
+Determined largest batch size: 64
+
+Running loglikelihood requests: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████| 114/114 [00:07<00:00, 15.27it/s]
+hf (pretrained=/data/cronscript/ckpts//hf_ckpt//global_step100), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: auto (64)
+|   Tasks    |Version|Filter|n-shot|Metric|Value |   |Stderr|
+|------------|------:|------|-----:|------|-----:|---|-----:|
+|indiccopa-hi|      1|none  |     0|acc   |0.5345|±  |0.0236|

lm-evaluation-harness/wandb/run-20240514_163428-9ixw6vnd/files/requirements.txt

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+habana-pyhlml==1.15.1.15
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+jsonlines==4.0.0
+lightning-habana==1.4.0
+lightning-utilities==0.11.2
+lightning==2.2.0.post0
+lm_eval==0.3.0
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lm-evaluation-harness/wandb/run-20240522_132810-pdly1svl/files/config.yaml

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+_wandb:
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+    cli_version: 0.17.0
+    framework: huggingface
+    huggingface_version: 4.41.0
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+    is_kaggle_kernel: false
+    start_time: 1716384490
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+  desc: null
+  value:
+    indiccopa-hi:
+      task: indiccopa-hi
+      group: ai4bharat/IndicCOPA
+      dataset_path: ai4bharat/IndicCOPA
+      dataset_name: translation-hi
+      test_split: test
+      doc_to_text: 'functools.partial(<function doc_to_text at 0x7ffa60642d40>, connector={''cause'':
+        ''कारण'', ''effect'': ''परिणाम''})'
+      doc_to_target: label
+      doc_to_choice: "def doc_to_choice(doc):\n    return [convert_choice(doc[\"choice1\"\
+        ]), convert_choice(doc[\"choice2\"])]\n"
+      description: ''
+      target_delimiter: ' '
+      fewshot_delimiter: '
+
+
+        '
+      num_fewshot: 0
+      metric_list:
+      - metric: acc
+      output_type: multiple_choice
+      repeats: 1
+      should_decontaminate: false
+      metadata:
+        version: 1.0
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+  desc: null
+  value:
+    model: hf
+    model_args: pretrained=/mnt/weka/peacock/idc/cronscript/ckpts//hf_ckpt//global_step100
+    batch_size: auto
+    batch_sizes:
+    - 64
+    device: null
+    use_cache: null
+    limit: null
+    bootstrap_iters: 100000
+    gen_kwargs: null

lm-evaluation-harness/wandb/run-20240522_132810-pdly1svl/files/media/table/evaluation/eval_results_1_c78c57917f215d296d9d.table.json

@@ -0,0 +1 @@
+{"columns": ["Tasks", "Version", "Filter", "num_fewshot", "Metric", "Value", "Stderr"], "data": [["indiccopa-hi", 1.0, "none", 0, "acc", "0.534521158129176", "0.0236"]]}

lm-evaluation-harness/wandb/run-20240522_132810-pdly1svl/files/output.log

@@ -0,0 +1,51 @@
+
+2024-05-22:13:28:11,357 INFO     [__main__.py:251] Verbosity set to INFO
+2024-05-22:13:28:20,939 INFO     [__main__.py:335] Selected Tasks: ['indiccopa-hi']
+2024-05-22:13:28:20,940 INFO     [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+2024-05-22:13:28:20,941 INFO     [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/idc/cronscript/ckpts//hf_ckpt//global_step100'}
+2024-05-22:13:28:23,273 INFO     [huggingface.py:164] Using device 'cuda'
+/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/gpu_migration/torch/cuda/memory.py:36: UserWarning: No need to call empty_cache on HPU. It manages the memory internally in an effcient way.
+  warnings.warn(
+You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama.LlamaTokenizer'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565
+You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565
+2024-05-22:13:28:31,525 WARNING  [task.py:763] [Task: indiccopa-hi] metric acc is defined, but aggregation is not. using default aggregation=mean
+2024-05-22:13:28:31,525 WARNING  [task.py:775] [Task: indiccopa-hi] metric acc is defined, but higher_is_better is not. using default higher_is_better=True
+/usr/local/lib/python3.10/dist-packages/datasets/load.py:1486: FutureWarning: The repository for ai4bharat/IndicCOPA contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/ai4bharat/IndicCOPA
+You can avoid this message in future by passing the argument `trust_remote_code=True`.
+Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.
+  warnings.warn(
+Downloading builder script: 100%|██████████| 2.30k/2.30k [00:00<00:00, 5.60MB/s]
+Downloading readme: 100%|██████████| 2.89k/2.89k [00:00<00:00, 7.52MB/s]
+Downloading data:  33%|███▎      | 50.2k/152k [00:00<00:00, 397kB/s]
+Passed argument batch_size = auto:1. Detecting largest batch size
+Downloading data: 100%|██████████| 152k/152k [00:00<00:00, 823kB/s]
+Generating test split: 449 examples [00:00, 12480.98 examples/s]
+2024-05-22:13:28:35,121 WARNING  [task.py:322] [Task: indiccopa-hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.
+2024-05-22:13:28:35,121 WARNING  [task.py:322] [Task: indiccopa-hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.
+2024-05-22:13:28:35,153 INFO     [task.py:395] Building contexts for indiccopa-hi on rank 0...
+100%|██████████| 449/449 [00:00<00:00, 78321.58it/s]
+2024-05-22:13:28:35,204 INFO     [evaluator.py:379] Running loglikelihood requests
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Running loglikelihood requests: 100%|██████████| 898/898 [01:17<00:00, 11.56it/s]
+hf (pretrained=/mnt/weka/peacock/idc/cronscript/ckpts//hf_ckpt//global_step100), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: auto (64)
+|   Tasks    |Version|Filter|n-shot|Metric|Value |   |Stderr|
+|------------|------:|------|-----:|------|-----:|---|-----:|
+|indiccopa-hi|      1|none  |     0|acc   |0.5345|±  |0.0236|

lm-evaluation-harness/wandb/run-20240522_132810-pdly1svl/files/requirements.txt

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lm-evaluation-harness/wandb/run-20240522_185202-6rpi28yk/files/output.log

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+
+2024-05-22:18:52:02,888 INFO     [__main__.py:251] Verbosity set to INFO
+2024-05-22:18:52:11,375 INFO     [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande']
+2024-05-22:18:52:11,376 INFO     [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+2024-05-22:18:52:11,377 INFO     [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step100'}
+2024-05-22:18:52:13,668 INFO     [huggingface.py:164] Using device 'cuda'
+Traceback (most recent call last):
+  File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 417, in <module>
+    cli_evaluate()
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate
+    results = evaluator.simple_evaluate(
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper
+    return fn(*args, **kwargs)
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/evaluator.py", line 180, in simple_evaluate
+    lm = lm_eval.api.registry.get_model(model).create_from_arg_string(
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/api/model.py", line 134, in create_from_arg_string
+    return cls(**args, **args2)
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__
+    self._get_config(
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 471, in _get_config
+    self._config = transformers.AutoConfig.from_pretrained(
+  File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py", line 934, in from_pretrained
+    config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 632, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 689, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 370, in cached_file
+    raise EnvironmentError(
+OSError: /mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step100 does not appear to have a file named config.json. Checkout 'https://huggingface.co//mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step100/tree/main' for available files.

lm-evaluation-harness/wandb/run-20240522_185202-6rpi28yk/files/requirements.txt

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+expecttest==0.2.1
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+fsspec==2024.3.1
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+google-auth==2.29.0
+grpcio==1.63.0
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+habana_gpu_migration==1.15.1.15
+habana_quantization_toolkit==1.15.1.15
+hjson==3.1.0
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+jsonlines==4.0.0
+lightning-habana==1.4.0
+lightning-utilities==0.11.2
+lightning==2.2.0.post0
+lm_eval==0.4.2
+lm_eval==0.4.2
+lm_eval==0.4.2
+lxml==5.2.2
+mbstrdecoder==1.1.3
+more-itertools==10.2.0
+mpi4py==3.1.4
+mpmath==1.3.0
+multidict==6.0.5
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+ninja==1.11.1.1
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+numpy==1.23.5
+oauthlib==3.2.2
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+pandas==2.0.1
+pathspec==0.12.1
+pathvalidate==3.2.0
+peft==0.11.1
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