submission_id: cgato-l3-thespice-8b-v3-2_v11
developer_uid: c.gato
status: inactive
model_repo: cgato/L3-TheSpice-8b-v3.2
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, '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}
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: 2024-05-18T15:40:24+00:00
model_name: cgato-l3-thespice-8b-v3-2_v11
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-v3.
num_battles: 14163
num_wins: 7910
celo_rating: 1205.34
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030277632.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cgato-l3-thespice-8b-v3-2_v11
ineligible_reason: propriety_total_count < 5000
language_model: cgato/L3-TheSpice-8b-v3.2
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-18
win_ratio: 0.5584974934688979
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v3-2-v11-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v3-2-v11-mkmlizer to finish
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-l3-thespice-8b-v3-2-v11-mkmlizer: ║ Version: 0.8.14 ║
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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cgato-l3-thespice-8b-v3-2-v11-mkmlizer: ║ Chai Research Corp. ║
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cgato-l3-thespice-8b-v3-2-v11-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-v3-2-v11-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.
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: Downloaded to shared memory in 27.998s
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: quantized model in 17.268s
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: Processed model cgato/L3-TheSpice-8b-v3.2 in 46.244s
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v11
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v11/tokenizer_config.json
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v11/config.json
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v11/tokenizer.json
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v11/special_tokens_map.json
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v11/flywheel_model.0.safetensors
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-v3-2-v11-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.
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-2-v11-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.
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-2-v11-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.
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-2-v11-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()
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: Saving duration: 0.219s
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.261s
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v11_reward
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v11_reward/config.json
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v11_reward/special_tokens_map.json
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v11_reward/vocab.json
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v11_reward/tokenizer_config.json
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v11_reward/merges.txt
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v11_reward/tokenizer.json
cgato-l3-thespice-8b-v3-2-v11-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v11_reward/reward.tensors
Job cgato-l3-thespice-8b-v3-2-v11-mkmlizer completed after 73.2s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v3-2-v11-mkmlizer
Pipeline stage MKMLizer completed in 76.59s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v3-2-v11
Waiting for inference service cgato-l3-thespice-8b-v3-2-v11 to be ready
Inference service cgato-l3-thespice-8b-v3-2-v11 ready after 150.90257143974304s
Pipeline stage ISVCDeployer completed in 157.95s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.240400791168213s
Received healthy response to inference request in 1.332972526550293s
Received healthy response to inference request in 1.3324589729309082s
Received healthy response to inference request in 1.3344571590423584s
Received healthy response to inference request in 1.3611230850219727s
5 requests
0 failed requests
5th percentile: 1.3325616836547851
10th percentile: 1.332664394378662
20th percentile: 1.332869815826416
30th percentile: 1.3332694530487061
40th percentile: 1.3338633060455323
50th percentile: 1.3344571590423584
60th percentile: 1.345123529434204
70th percentile: 1.3557898998260498
80th percentile: 1.5369786262512208
90th percentile: 1.888689708709717
95th percentile: 2.0645452499389645
99th percentile: 2.205229682922363
mean time: 1.520282506942749
Pipeline stage StressChecker completed in 8.29s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
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
cgato-l3-thespice-8b-v3-2_v11 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-v3-2_v11 status is now inactive due to auto deactivation removed underperforming models

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