submission_id: cgato-l3-thespice-8b-v4-2_v1
developer_uid: c.gato
best_of: 16
celo_rating: 1187.16
display_name: cgato-l3-thespice-8b-v4-2_v1
family_friendly_score: 0.0
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': True}
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 200, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', 'You:'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cgato/L3-TheSpice-8b-v4.2
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-v4.
model_name: cgato-l3-thespice-8b-v4-2_v1
model_num_parameters: 8030261248.0
model_repo: cgato/L3-TheSpice-8b-v4.2
model_size: 8B
num_battles: 18057
num_wins: 9237
ranking_group: single
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': True, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-06-06T03:31:58+00:00
us_pacific_date: 2024-06-05
win_ratio: 0.5115467685662071
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v4-2-v1-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v4-2-v1-mkmlizer to finish
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-l3-thespice-8b-v4-2-v1-mkmlizer: ║ Version: 0.8.14 ║
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: ║ https://mk1.ai ║
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cgato-l3-thespice-8b-v4-2-v1-mkmlizer: ║ Chai Research Corp. ║
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cgato-l3-thespice-8b-v4-2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-v4-2-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.
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: Downloaded to shared memory in 35.161s
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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cgato-l3-thespice-8b-v4-2-v1-mkmlizer: Processed model cgato/L3-TheSpice-8b-v4.2 in 60.969s
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v4-2-v1
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v4-2-v1/config.json
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v4-2-v1/special_tokens_map.json
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v4-2-v1/tokenizer_config.json
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v4-2-v1/tokenizer.json
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-v4-2-v1/flywheel_model.0.safetensors
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-v4-2-v1-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-v4-2-v1-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v4-2-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.
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v4-2-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.
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: Saving duration: 0.283s
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.992s
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-v4-2-v1_reward
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v4-2-v1_reward/special_tokens_map.json
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-v4-2-v1_reward/merges.txt
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v4-2-v1_reward/tokenizer_config.json
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v4-2-v1_reward/config.json
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v4-2-v1_reward/tokenizer.json
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v4-2-v1_reward/vocab.json
cgato-l3-thespice-8b-v4-2-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-v4-2-v1_reward/reward.tensors
Job cgato-l3-thespice-8b-v4-2-v1-mkmlizer completed after 85.0s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v4-2-v1-mkmlizer
Pipeline stage MKMLizer completed in 88.52s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v4-2-v1
Waiting for inference service cgato-l3-thespice-8b-v4-2-v1 to be ready
Inference service cgato-l3-thespice-8b-v4-2-v1 ready after 40.4584858417511s
Pipeline stage ISVCDeployer completed in 48.21s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.076784372329712s
Received healthy response to inference request in 1.2732312679290771s
Received healthy response to inference request in 1.2971158027648926s
Received healthy response to inference request in 1.2595384120941162s
Received healthy response to inference request in 1.2835233211517334s
5 requests
0 failed requests
5th percentile: 1.2622769832611085
10th percentile: 1.2650155544281005
20th percentile: 1.2704926967620849
30th percentile: 1.2752896785736083
40th percentile: 1.2794064998626709
50th percentile: 1.2835233211517334
60th percentile: 1.2889603137969972
70th percentile: 1.2943973064422607
80th percentile: 1.4530495166778565
90th percentile: 1.7649169445037842
95th percentile: 1.920850658416748
99th percentile: 2.045597629547119
mean time: 1.4380386352539063
Pipeline stage StressChecker completed in 7.82s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.07s
cgato-l3-thespice-8b-v4-2_v1 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-v4-2_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-l3-thespice-8b-v4-2_v1
Running pipeline stage ISVCDeleter
Checking if service cgato-l3-thespice-8b-v4-2-v1 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 2.23s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-v4-2-v1/config.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v4-2-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v4-2-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v4-2-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v4-2-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-v4-2-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v4-2-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v4-2-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v4-2-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v4-2-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v4-2-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v4-2-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.55s
cgato-l3-thespice-8b-v4-2_v1 status is now torndown due to DeploymentManager action