submission_id: jellywibble-hathor-stabl_8901_v2
developer_uid: Jellywibble
status: inactive
model_repo: Jellywibble/Hathor_Stable-v0.2-L3-8B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.08, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\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: 2024-07-03T22:27:11+00:00
model_name: nitral-ai-hathor-l3-8b-v-01_v1
model_group: Jellywibble/Hathor_Stabl
num_battles: 14341
num_wins: 7424
celo_rating: 1200.65
propriety_score: 0.7132795304475422
propriety_total_count: 6815.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: nitral-ai-hathor-l3-8b-v-01_v1
ineligible_reason: None
language_model: Jellywibble/Hathor_Stable-v0.2-L3-8B
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-07-03
win_ratio: 0.5176765915905446
Resubmit model
Running pipeline stage MKMLizer
Starting job with name jellywibble-hathor-stabl-8901-v2-mkmlizer
Waiting for job on jellywibble-hathor-stabl-8901-v2-mkmlizer to finish
jellywibble-hathor-stabl-8901-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ _____ __ __ ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ /___/ ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ Version: 0.8.14 ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ https://mk1.ai ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ The license key for the current software has been verified as ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ belonging to: ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ Chai Research Corp. ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Job jellywibble-hathor-stabl-8901-v2-mkmlizer completed after 195.0s with status: failed
Stopping job with name jellywibble-hathor-stabl-8901-v2-mkmlizer
%s, retrying in %s seconds...
Starting job with name jellywibble-hathor-stabl-8901-v2-mkmlizer
Waiting for job on jellywibble-hathor-stabl-8901-v2-mkmlizer to finish
jellywibble-hathor-stabl-8901-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ _____ __ __ ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ /___/ ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ Version: 0.8.14 ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ https://mk1.ai ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ The license key for the current software has been verified as ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ belonging to: ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ Chai Research Corp. ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ║ ║
jellywibble-hathor-stabl-8901-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-hathor-stabl-8901-v2-mkmlizer: unable to retrieve container logs for containerd://a16f2f0c5b45b956355e9
jellywibble-hathor-stabl-8901-v2-mkmlizer: Downloaded to shared memory in 46.548s
jellywibble-hathor-stabl-8901-v2-mkmlizer: quantizing model to /dev/shm/model_cache
jellywibble-hathor-stabl-8901-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-hathor-stabl-8901-v2-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-hathor-stabl-8901-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-hathor-stabl-8901-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-hathor-stabl-8901-v2
jellywibble-hathor-stabl-8901-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-hathor-stabl-8901-v2/special_tokens_map.json
jellywibble-hathor-stabl-8901-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-hathor-stabl-8901-v2/config.json
jellywibble-hathor-stabl-8901-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-hathor-stabl-8901-v2/tokenizer_config.json
jellywibble-hathor-stabl-8901-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-hathor-stabl-8901-v2/tokenizer.json
jellywibble-hathor-stabl-8901-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-hathor-stabl-8901-v2/flywheel_model.0.safetensors
jellywibble-hathor-stabl-8901-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
jellywibble-hathor-stabl-8901-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:919: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
jellywibble-hathor-stabl-8901-v2-mkmlizer: warnings.warn(
jellywibble-hathor-stabl-8901-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
jellywibble-hathor-stabl-8901-v2-mkmlizer: warnings.warn(
jellywibble-hathor-stabl-8901-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:769: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
jellywibble-hathor-stabl-8901-v2-mkmlizer: warnings.warn(
jellywibble-hathor-stabl-8901-v2-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.
jellywibble-hathor-stabl-8901-v2-mkmlizer: warnings.warn(
jellywibble-hathor-stabl-8901-v2-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()
jellywibble-hathor-stabl-8901-v2-mkmlizer: return self.fget.__get__(instance, owner)()
jellywibble-hathor-stabl-8901-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jellywibble-hathor-stabl-8901-v2-mkmlizer: Saving duration: 0.529s
jellywibble-hathor-stabl-8901-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.840s
jellywibble-hathor-stabl-8901-v2-mkmlizer: creating bucket guanaco-reward-models
jellywibble-hathor-stabl-8901-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-hathor-stabl-8901-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-hathor-stabl-8901-v2_reward
jellywibble-hathor-stabl-8901-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jellywibble-hathor-stabl-8901-v2_reward/special_tokens_map.json
jellywibble-hathor-stabl-8901-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jellywibble-hathor-stabl-8901-v2_reward/tokenizer_config.json
jellywibble-hathor-stabl-8901-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-hathor-stabl-8901-v2_reward/merges.txt
jellywibble-hathor-stabl-8901-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-hathor-stabl-8901-v2_reward/vocab.json
jellywibble-hathor-stabl-8901-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jellywibble-hathor-stabl-8901-v2_reward/config.json
jellywibble-hathor-stabl-8901-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-hathor-stabl-8901-v2_reward/tokenizer.json
jellywibble-hathor-stabl-8901-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jellywibble-hathor-stabl-8901-v2_reward/reward.tensors
Job jellywibble-hathor-stabl-8901-v2-mkmlizer completed after 104.71s with status: succeeded
Stopping job with name jellywibble-hathor-stabl-8901-v2-mkmlizer
Pipeline stage MKMLizer completed in 301.05s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-hathor-stabl-8901-v2
Waiting for inference service jellywibble-hathor-stabl-8901-v2 to be ready
Inference service jellywibble-hathor-stabl-8901-v2 ready after 40.25856924057007s
Pipeline stage ISVCDeployer completed in 47.13s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.094745635986328s
Received healthy response to inference request in 1.355170488357544s
Received healthy response to inference request in 1.331465244293213s
Received healthy response to inference request in 1.2706072330474854s
Received healthy response to inference request in 1.363116979598999s
5 requests
0 failed requests
5th percentile: 1.282778835296631
10th percentile: 1.2949504375457763
20th percentile: 1.3192936420440673
30th percentile: 1.3362062931060792
40th percentile: 1.3456883907318116
50th percentile: 1.355170488357544
60th percentile: 1.358349084854126
70th percentile: 1.361527681350708
80th percentile: 1.509442710876465
90th percentile: 1.8020941734313967
95th percentile: 1.9484199047088622
99th percentile: 2.065480489730835
mean time: 1.483021116256714
Pipeline stage StressChecker completed in 8.29s
jellywibble-hathor-stabl_8901_v2 status is now deployed due to DeploymentManager action
jellywibble-hathor-stabl_8901_v2 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics