developer_uid: v000000
submission_id: v000000-syntheticmoist-11b_v1
model_name: v000000-syntheticmoist-11b_v1
model_group: v000000/SyntheticMoist-1
status: torndown
timestamp: 2024-06-06T13:38:52+00:00
num_battles: 10758
num_wins: 4824
celo_rating: 1153.93
family_friendly_score: 0.0
submission_type: basic
model_repo: v000000/SyntheticMoist-11B
model_architecture: LlamaForCausalLM
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 10731524096.0
best_of: 8
max_input_tokens: 512
max_output_tokens: 64
display_name: v000000-syntheticmoist-11b_v1
is_internal_developer: False
language_model: v000000/SyntheticMoist-11B
model_size: 11B
ranking_group: single
us_pacific_date: 2024-06-06
win_ratio: 0.4484104852203012
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\\n####\\n", 'prompt_template': '{prompt}\\n<START>\\n', 'bot_template': '{bot_name}: {message}\\n', 'user_template': '{user_name}: {message}\\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
model_eval_status: success
reward_formatter: {'bot_template': '{bot_name}: {message}\\n', 'memory_template': "{bot_name}'s Persona: {memory}\\n####\\n", 'prompt_template': '{prompt}\\n<START>\\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name v000000-syntheticmoist-11b-v1-mkmlizer
Waiting for job on v000000-syntheticmoist-11b-v1-mkmlizer to finish
v000000-syntheticmoist-11b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
v000000-syntheticmoist-11b-v1-mkmlizer: ║ _____ __ __ ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ /___/ ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ Version: 0.8.14 ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ https://mk1.ai ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ The license key for the current software has been verified as ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ belonging to: ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ Chai Research Corp. ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ ║
v000000-syntheticmoist-11b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
v000000-syntheticmoist-11b-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
v000000-syntheticmoist-11b-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
v000000-syntheticmoist-11b-v1-mkmlizer: Traceback (most recent call last):
v000000-syntheticmoist-11b-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 509, in http_get
v000000-syntheticmoist-11b-v1-mkmlizer: hf_transfer.download(
v000000-syntheticmoist-11b-v1-mkmlizer: Exception: Error while downloading: reqwest::Error { kind: Request, url: Url { scheme: "https", cannot_be_a_base: false, username: "", password: None, host: Some(Domain("cdn-lfs-us-1.huggingface.co")), port: None, path: "/repos/1b/6a/1c98374fbfe6b28201a38/4186f81a0750209cbb043c5a2b7823e582f86cd1f4b1198aea4da420821b21fe", query: Some("response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27model-00002-of-00005.safetensors%3B+filename%3D%22model-00002-of-00005.safetensors%22%3B&Expires=1717940353&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxNzk0MDM1M319LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzFiLzZhLzFiNmFlMThkYmMwODhhOTMzZTZlOGNkYzA2NDBlYWJlNjUzNTE1ZGE1N2UxYzk4Mzc0ZmJmZTZiMjgyMDFhMzgvNDE4NmY4MWEwNzUwMjA5Y2JiMDQzYzVhMmI3ODIzZTU4MmY4NmNkMWY0YjExOThhZWE0ZGE0MjA4MjFiMjFmZT9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=D0WKoUsQbcGR-o3x06fOW3BXUQMiog5ZxGSE%7EpN0u9fYPZdSMeMEVDno2OzorUWjg4SjEwfho1iXS621bmTtHqepIqiwKFKsIWIw4iQSjFQ-8E8bUijykcIVPL6EiLAlmrKNrWkrdnu2D9IDkgT2Tv6OCIV2RbxzgRywkmRyuH3d-dzda6gFSUsFTiTr2g3BadPg4r%7EmjFozGxOvs0z6cTTy65cJ76qf67LmW0c74BHhkCHV3w5r7X7XoklikJceR%7EThpBalGl9BWVVUF-MtOq6uuIvhUFx8hv3SES8THKwAbthOLaa3xj1wp0gmWaFhLj9-MoAb%7EL0nc0PZ%7EeiyQw__&Key-Pair-Id=KCD77M1F0VK2B"), fragment: None }, source: hyper::Error(Connect, ConnectError("dns error", Custom { kind: Uncategorized, error: "failed to lookup address information: Temporary failure in name resolution" })) }
v000000-syntheticmoist-11b-v1-mkmlizer: The above exception was the direct cause of the following exception:
v000000-syntheticmoist-11b-v1-mkmlizer: Traceback (most recent call last):
v000000-syntheticmoist-11b-v1-mkmlizer: File "/code/uploading/mkmlize.py", line 151, in <module>
v000000-syntheticmoist-11b-v1-mkmlizer: cli()
v000000-syntheticmoist-11b-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1128, in __call__
v000000-syntheticmoist-11b-v1-mkmlizer: return self.main(*args, **kwargs)
v000000-syntheticmoist-11b-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1053, in main
v000000-syntheticmoist-11b-v1-mkmlizer: rv = self.invoke(ctx)
v000000-syntheticmoist-11b-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1659, in invoke
v000000-syntheticmoist-11b-v1-mkmlizer: return _process_result(sub_ctx.command.invoke(sub_ctx))
v000000-syntheticmoist-11b-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1395, in invoke
v000000-syntheticmoist-11b-v1-mkmlizer: return ctx.invoke(self.callback, **ctx.params)
v000000-syntheticmoist-11b-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 754, in invoke
v000000-syntheticmoist-11b-v1-mkmlizer: return __callback(*args, **kwargs)
v000000-syntheticmoist-11b-v1-mkmlizer: File "/code/uploading/mkmlize.py", line 38, in quantize
v000000-syntheticmoist-11b-v1-mkmlizer: temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
v000000-syntheticmoist-11b-v1-mkmlizer: File "/code/uploading/mkmlize.py", line 65, in download_to_shared_memory
v000000-syntheticmoist-11b-v1-mkmlizer: snapshot_download(
v000000-syntheticmoist-11b-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 119, in _inner_fn
v000000-syntheticmoist-11b-v1-mkmlizer: return fn(*args, **kwargs)
v000000-syntheticmoist-11b-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 314, in snapshot_download
v000000-syntheticmoist-11b-v1-mkmlizer: _inner_hf_hub_download(file)
v000000-syntheticmoist-11b-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 290, in _inner_hf_hub_download
v000000-syntheticmoist-11b-v1-mkmlizer: return hf_hub_download(
v000000-syntheticmoist-11b-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 119, in _inner_fn
v000000-syntheticmoist-11b-v1-mkmlizer: return fn(*args, **kwargs)
v000000-syntheticmoist-11b-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1492, in hf_hub_download
v000000-syntheticmoist-11b-v1-mkmlizer: http_get(
v000000-syntheticmoist-11b-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 520, in http_get
v000000-syntheticmoist-11b-v1-mkmlizer: raise RuntimeError(
v000000-syntheticmoist-11b-v1-mkmlizer: RuntimeError: An error occurred while downloading using `hf_transfer`. Consider disabling HF_HUB_ENABLE_HF_TRANSFER for better error handling.
Job v000000-syntheticmoist-11b-v1-mkmlizer completed after 31.98s with status: failed
Stopping job with name v000000-syntheticmoist-11b-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name v000000-syntheticmoist-11b-v1-mkmlizer
Waiting for job on v000000-syntheticmoist-11b-v1-mkmlizer to finish
v000000-syntheticmoist-11b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
v000000-syntheticmoist-11b-v1-mkmlizer: ║ _____ __ __ ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ /___/ ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ Version: 0.8.14 ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ https://mk1.ai ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ The license key for the current software has been verified as ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ belonging to: ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ Chai Research Corp. ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
v000000-syntheticmoist-11b-v1-mkmlizer: ║ ║
v000000-syntheticmoist-11b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
v000000-syntheticmoist-11b-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
v000000-syntheticmoist-11b-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
v000000-syntheticmoist-11b-v1-mkmlizer: Downloaded to shared memory in 34.090s
v000000-syntheticmoist-11b-v1-mkmlizer: quantizing model to /dev/shm/model_cache
v000000-syntheticmoist-11b-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
v000000-syntheticmoist-11b-v1-mkmlizer: quantized model in 21.988s
v000000-syntheticmoist-11b-v1-mkmlizer: Processed model v000000/SyntheticMoist-11B in 57.763s
v000000-syntheticmoist-11b-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/v000000-syntheticmoist-11b-v1/flywheel_model.0.safetensors
v000000-syntheticmoist-11b-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
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v000000-syntheticmoist-11b-v1-mkmlizer: warnings.warn(
v000000-syntheticmoist-11b-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
v000000-syntheticmoist-11b-v1-mkmlizer: warnings.warn(
v000000-syntheticmoist-11b-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
v000000-syntheticmoist-11b-v1-mkmlizer: warnings.warn(
v000000-syntheticmoist-11b-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
v000000-syntheticmoist-11b-v1-mkmlizer: return self.fget.__get__(instance, owner)()
v000000-syntheticmoist-11b-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
v000000-syntheticmoist-11b-v1-mkmlizer: Saving duration: 0.333s
v000000-syntheticmoist-11b-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.000s
v000000-syntheticmoist-11b-v1-mkmlizer: creating bucket guanaco-reward-models
v000000-syntheticmoist-11b-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
v000000-syntheticmoist-11b-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/v000000-syntheticmoist-11b-v1_reward
v000000-syntheticmoist-11b-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/v000000-syntheticmoist-11b-v1_reward/config.json
v000000-syntheticmoist-11b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/v000000-syntheticmoist-11b-v1_reward/tokenizer_config.json
v000000-syntheticmoist-11b-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/v000000-syntheticmoist-11b-v1_reward/vocab.json
v000000-syntheticmoist-11b-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/v000000-syntheticmoist-11b-v1_reward/merges.txt
v000000-syntheticmoist-11b-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/v000000-syntheticmoist-11b-v1_reward/special_tokens_map.json
v000000-syntheticmoist-11b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/v000000-syntheticmoist-11b-v1_reward/tokenizer.json
Job v000000-syntheticmoist-11b-v1-mkmlizer completed after 83.67s with status: succeeded
Stopping job with name v000000-syntheticmoist-11b-v1-mkmlizer
Pipeline stage MKMLizer completed in 120.11s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service v000000-syntheticmoist-11b-v1
Waiting for inference service v000000-syntheticmoist-11b-v1 to be ready
Inference service v000000-syntheticmoist-11b-v1 ready after 30.193406343460083s
Pipeline stage ISVCDeployer completed in 37.99s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.363630771636963s
Received healthy response to inference request in 1.557079792022705s
Received healthy response to inference request in 1.5495548248291016s
Received healthy response to inference request in 1.581333875656128s
Received healthy response to inference request in 1.562056541442871s
5 requests
0 failed requests
5th percentile: 1.5510598182678224
10th percentile: 1.552564811706543
20th percentile: 1.5555747985839843
30th percentile: 1.5580751419067382
40th percentile: 1.5600658416748048
50th percentile: 1.562056541442871
60th percentile: 1.5697674751281738
70th percentile: 1.5774784088134766
80th percentile: 1.737793254852295
90th percentile: 2.050712013244629
95th percentile: 2.2071713924407956
99th percentile: 2.3323388957977294
mean time: 1.7227311611175538
Pipeline stage StressChecker completed in 9.51s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.04s
M-Eval Dataset for topic stay_in_character is loaded
v000000-syntheticmoist-11b_v1 status is now deployed due to DeploymentManager action
v000000-syntheticmoist-11b_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of v000000-syntheticmoist-11b_v1
Running pipeline stage ISVCDeleter
Checking if service v000000-syntheticmoist-11b-v1 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.44s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key v000000-syntheticmoist-11b-v1/config.json from bucket guanaco-mkml-models
Deleting key v000000-syntheticmoist-11b-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key v000000-syntheticmoist-11b-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key v000000-syntheticmoist-11b-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key v000000-syntheticmoist-11b-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key v000000-syntheticmoist-11b-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key v000000-syntheticmoist-11b-v1_reward/config.json from bucket guanaco-reward-models
Deleting key v000000-syntheticmoist-11b-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key v000000-syntheticmoist-11b-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key v000000-syntheticmoist-11b-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key v000000-syntheticmoist-11b-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key v000000-syntheticmoist-11b-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key v000000-syntheticmoist-11b-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 7.21s
v000000-syntheticmoist-11b_v1 status is now torndown due to DeploymentManager action