submission_id: maldv-badger-l3-instruct-32k_v7
developer_uid: maldevide
status: inactive
model_repo: maldv/badger-l3-instruct-32k
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', 'You:', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are {bot_name}, and are meeting {user_name}.\n\nUse *emotes*\n\nMemory: {memory}', 'prompt_template': "{prompt}. Don't say too much.<|eot_id|>", 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n{bot_name}: ', 'truncate_by_message': False}
reward_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}
timestamp: 2024-06-22T00:09:05+00:00
model_name: maldv-badger-l3-instruct-32k_v1
model_group: maldv/badger-l3-instruct
num_battles: 20275
num_wins: 9988
celo_rating: 1185.34
propriety_score: 0.7217775041050903
propriety_total_count: 9744.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
display_name: maldv-badger-l3-instruct-32k_v1
ineligible_reason: None
language_model: maldv/badger-l3-instruct-32k
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-21
win_ratio: 0.4926263871763255
Resubmit model
Running pipeline stage MKMLizer
Starting job with name maldv-badger-l3-instruct-32k-v7-mkmlizer
Waiting for job on maldv-badger-l3-instruct-32k-v7-mkmlizer to finish
maldv-badger-l3-instruct-32k-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ _____ __ __ ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ /___/ ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ Version: 0.8.14 ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ https://mk1.ai ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ The license key for the current software has been verified as ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ belonging to: ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ Chai Research Corp. ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
maldv-badger-l3-instruct-32k-v7-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.
maldv-badger-l3-instruct-32k-v7-mkmlizer: warnings.warn(warning_message, FutureWarning)
Retrying (%r) after connection broken by '%r': %s
maldv-badger-l3-instruct-32k-v7-mkmlizer: Traceback (most recent call last):
maldv-badger-l3-instruct-32k-v7-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 509, in http_get
maldv-badger-l3-instruct-32k-v7-mkmlizer: hf_transfer.download(
maldv-badger-l3-instruct-32k-v7-mkmlizer: Exception: Failed too many failures in parallel (3): PyErr { type: <class 'Exception'>, value: Exception('Error while downloading: reqwest::Error { kind: Status(503), 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/9a/7a/644e39315700292ce507e/f084db06fe086197f77e68bd2a78da57492901d523a29e3ecb5c0c4baac35dc0", query: Some("response-content-disposition=inline%3B+filename*%3DUTF-8%27%27model-00010-of-00011.safetensors%3B+filename%3D%22model-00010-of-00011.safetensors%22%3B&Expires=1719274253&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxOTI3NDI1M319LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzlhLzdhLzlhN2E2YzM3YWJiMGU3NjBmZmI4NzA1NGUyOTU1Mjg3OTQ3NWEwNzk5Zjk2NDRlMzkzMTU3MDAyOTJjZTUwN2UvZjA4NGRiMDZmZTA4NjE5N2Y3N2U2OGJkMmE3OGRhNTc0OTI5MDFkNTIzYTI5ZTNlY2I1YzBjNGJhYWMzNWRjMD9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=0AdmQXFTnmL10NBWCPFXuxXkmeZ9pFrHlFGFT70M1whl1cfvTfaoujZFhIeKKBlwr1-aJ-WHG%7E7mx%7EFEtEePv-iFiwGlh1dPt8kFJOxtrlKm2RjSKBR4%7E8qiGRVDXUi8VVGAvi4Gi5Ee8S6Fu7zaQ49e13znStSju2DRVL-7eawvQUUsZ-snTHYg1HvD4C7SSTdhjQvMEptGWztRsIGYkVw1u6BY1fT2qpWJhIMdep2hG0RA02OprhELPSRtK%7Ec2b5sI2Eo8wAqCvznyCFxGyWu73cR5cziOP6jb3uCIM1HojPrCv8G-JVQ24wBMg7k-xMEm9830JPT5pD6MO9Hgvg__&Key-Pair-Id=K2FPYV99P2N66Q"), fragment: None } }'), traceback: None } (NoPermits)
maldv-badger-l3-instruct-32k-v7-mkmlizer: The above exception was the direct cause of the following exception:
maldv-badger-l3-instruct-32k-v7-mkmlizer: Traceback (most recent call last):
maldv-badger-l3-instruct-32k-v7-mkmlizer: File "/code/uploading/mkmlize.py", line 151, in <module>
maldv-badger-l3-instruct-32k-v7-mkmlizer: cli()
maldv-badger-l3-instruct-32k-v7-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1128, in __call__
maldv-badger-l3-instruct-32k-v7-mkmlizer: return self.main(*args, **kwargs)
maldv-badger-l3-instruct-32k-v7-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1053, in main
maldv-badger-l3-instruct-32k-v7-mkmlizer: rv = self.invoke(ctx)
maldv-badger-l3-instruct-32k-v7-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1659, in invoke
maldv-badger-l3-instruct-32k-v7-mkmlizer: return _process_result(sub_ctx.command.invoke(sub_ctx))
maldv-badger-l3-instruct-32k-v7-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1395, in invoke
maldv-badger-l3-instruct-32k-v7-mkmlizer: return ctx.invoke(self.callback, **ctx.params)
maldv-badger-l3-instruct-32k-v7-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 754, in invoke
maldv-badger-l3-instruct-32k-v7-mkmlizer: return __callback(*args, **kwargs)
maldv-badger-l3-instruct-32k-v7-mkmlizer: File "/code/uploading/mkmlize.py", line 38, in quantize
maldv-badger-l3-instruct-32k-v7-mkmlizer: temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
maldv-badger-l3-instruct-32k-v7-mkmlizer: File "/code/uploading/mkmlize.py", line 65, in download_to_shared_memory
maldv-badger-l3-instruct-32k-v7-mkmlizer: snapshot_download(
maldv-badger-l3-instruct-32k-v7-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 119, in _inner_fn
maldv-badger-l3-instruct-32k-v7-mkmlizer: return fn(*args, **kwargs)
maldv-badger-l3-instruct-32k-v7-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 314, in snapshot_download
maldv-badger-l3-instruct-32k-v7-mkmlizer: _inner_hf_hub_download(file)
maldv-badger-l3-instruct-32k-v7-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 290, in _inner_hf_hub_download
maldv-badger-l3-instruct-32k-v7-mkmlizer: return hf_hub_download(
maldv-badger-l3-instruct-32k-v7-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 119, in _inner_fn
maldv-badger-l3-instruct-32k-v7-mkmlizer: return fn(*args, **kwargs)
maldv-badger-l3-instruct-32k-v7-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1492, in hf_hub_download
maldv-badger-l3-instruct-32k-v7-mkmlizer: http_get(
maldv-badger-l3-instruct-32k-v7-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 520, in http_get
maldv-badger-l3-instruct-32k-v7-mkmlizer: raise RuntimeError(
maldv-badger-l3-instruct-32k-v7-mkmlizer: RuntimeError: An error occurred while downloading using `hf_transfer`. Consider disabling HF_HUB_ENABLE_HF_TRANSFER for better error handling.
Job maldv-badger-l3-instruct-32k-v7-mkmlizer completed after 124.21s with status: failed
Stopping job with name maldv-badger-l3-instruct-32k-v7-mkmlizer
%s, retrying in %s seconds...
Starting job with name maldv-badger-l3-instruct-32k-v7-mkmlizer
Waiting for job on maldv-badger-l3-instruct-32k-v7-mkmlizer to finish
maldv-badger-l3-instruct-32k-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ _____ __ __ ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ /___/ ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ Version: 0.8.14 ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ https://mk1.ai ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ The license key for the current software has been verified as ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ belonging to: ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ Chai Research Corp. ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ║ ║
maldv-badger-l3-instruct-32k-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
maldv-badger-l3-instruct-32k-v7-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.
maldv-badger-l3-instruct-32k-v7-mkmlizer: warnings.warn(warning_message, FutureWarning)
maldv-badger-l3-instruct-32k-v7-mkmlizer: Downloaded to shared memory in 145.460s
maldv-badger-l3-instruct-32k-v7-mkmlizer: quantizing model to /dev/shm/model_cache
maldv-badger-l3-instruct-32k-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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maldv-badger-l3-instruct-32k-v7-mkmlizer: quantized model in 25.195s
maldv-badger-l3-instruct-32k-v7-mkmlizer: Processed model maldv/badger-l3-instruct-32k in 173.141s
maldv-badger-l3-instruct-32k-v7-mkmlizer: creating bucket guanaco-mkml-models
maldv-badger-l3-instruct-32k-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
maldv-badger-l3-instruct-32k-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/maldv-badger-l3-instruct-32k-v7
maldv-badger-l3-instruct-32k-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/maldv-badger-l3-instruct-32k-v7/config.json
maldv-badger-l3-instruct-32k-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/maldv-badger-l3-instruct-32k-v7/special_tokens_map.json
maldv-badger-l3-instruct-32k-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/maldv-badger-l3-instruct-32k-v7/tokenizer_config.json
maldv-badger-l3-instruct-32k-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/maldv-badger-l3-instruct-32k-v7/tokenizer.json
maldv-badger-l3-instruct-32k-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/maldv-badger-l3-instruct-32k-v7/flywheel_model.0.safetensors
maldv-badger-l3-instruct-32k-v7-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
maldv-badger-l3-instruct-32k-v7-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
maldv-badger-l3-instruct-32k-v7-mkmlizer: warnings.warn(
maldv-badger-l3-instruct-32k-v7-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.
maldv-badger-l3-instruct-32k-v7-mkmlizer: warnings.warn(
maldv-badger-l3-instruct-32k-v7-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.
maldv-badger-l3-instruct-32k-v7-mkmlizer: warnings.warn(
maldv-badger-l3-instruct-32k-v7-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()
maldv-badger-l3-instruct-32k-v7-mkmlizer: return self.fget.__get__(instance, owner)()
maldv-badger-l3-instruct-32k-v7-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
maldv-badger-l3-instruct-32k-v7-mkmlizer: Saving duration: 0.458s
maldv-badger-l3-instruct-32k-v7-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 12.441s
maldv-badger-l3-instruct-32k-v7-mkmlizer: creating bucket guanaco-reward-models
maldv-badger-l3-instruct-32k-v7-mkmlizer: Bucket 's3://guanaco-reward-models/' created
maldv-badger-l3-instruct-32k-v7-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/maldv-badger-l3-instruct-32k-v7_reward
maldv-badger-l3-instruct-32k-v7-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/maldv-badger-l3-instruct-32k-v7_reward/config.json
maldv-badger-l3-instruct-32k-v7-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/maldv-badger-l3-instruct-32k-v7_reward/special_tokens_map.json
maldv-badger-l3-instruct-32k-v7-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/maldv-badger-l3-instruct-32k-v7_reward/tokenizer_config.json
maldv-badger-l3-instruct-32k-v7-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/maldv-badger-l3-instruct-32k-v7_reward/merges.txt
maldv-badger-l3-instruct-32k-v7-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/maldv-badger-l3-instruct-32k-v7_reward/vocab.json
maldv-badger-l3-instruct-32k-v7-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/maldv-badger-l3-instruct-32k-v7_reward/tokenizer.json
maldv-badger-l3-instruct-32k-v7-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/maldv-badger-l3-instruct-32k-v7_reward/reward.tensors
Job maldv-badger-l3-instruct-32k-v7-mkmlizer completed after 206.45s with status: succeeded
Stopping job with name maldv-badger-l3-instruct-32k-v7-mkmlizer
Pipeline stage MKMLizer completed in 331.46s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service maldv-badger-l3-instruct-32k-v7
Waiting for inference service maldv-badger-l3-instruct-32k-v7 to be ready
Inference service maldv-badger-l3-instruct-32k-v7 ready after 50.255781412124634s
Pipeline stage ISVCDeployer completed in 56.04s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.336089611053467s
Received healthy response to inference request in 1.3044312000274658s
Received healthy response to inference request in 1.2391114234924316s
Received healthy response to inference request in 1.2639837265014648s
Received healthy response to inference request in 1.2877240180969238s
5 requests
0 failed requests
5th percentile: 1.2440858840942384
10th percentile: 1.2490603446960449
20th percentile: 1.2590092658996581
30th percentile: 1.2687317848205566
40th percentile: 1.2782279014587403
50th percentile: 1.2877240180969238
60th percentile: 1.2944068908691406
70th percentile: 1.3010897636413574
80th percentile: 1.5107628822326662
90th percentile: 1.9234262466430665
95th percentile: 2.1297579288482664
99th percentile: 2.2948232746124266
mean time: 1.4862679958343505
Pipeline stage StressChecker completed in 8.60s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.06s
maldv-badger-l3-instruct-32k_v7 status is now deployed due to DeploymentManager action
maldv-badger-l3-instruct-32k_v7 status is now inactive due to auto deactivation removed underperforming models

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