submission_id: cgato-l3-thespice-8b-v0-5-2_v2
developer_uid: c.gato
best_of: 16
celo_rating: 1184.2
display_name: cgato-l3-thespice-8b-v0-5-2_v2
family_friendly_score: 0.0
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n {bot_name} responds in one line.\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}
generation_params: {'temperature': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 70, 'presence_penalty': 0.9, 'frequency_penalty': 0.9, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cgato/L3-TheSpice-8b-v0.5.2
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-v0.
model_name: cgato-l3-thespice-8b-v0-5-2_v2
model_num_parameters: 8030261248.0
model_repo: cgato/L3-TheSpice-8b-v0.5.2
model_size: 8B
num_battles: 6469
num_wins: 3572
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n {bot_name} gives single line responses.\n{bot_name} gives short responses.\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-04-20T19:02:44+00:00
us_pacific_date: 2024-04-20
win_ratio: 0.5521718967382903
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer to finish
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: ║ _____ __ __ ║
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: ║ ║
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: ║ Version: 0.8.10 ║
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: ║ ║
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: ║ belonging to: ║
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: ║ ║
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: ║ Chai Research Corp. ║
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: ║ ║
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-v0-5-2-v2-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-v0-5-2-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: Downloaded to shared memory in 28.809s
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 48%|████▊ | 139/291 [00:01<00:01, 137.81it/s] Loading 0: 94%|█████████▍| 273/291 [00:02<00:00, 134.68it/s] Loading 0: 99%|█████████▊| 287/291 [00:06<00:00, 28.74it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: quantized model in 18.029s
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: Processed model cgato/L3-TheSpice-8b-v0.5.2 in 47.879s
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-5-2-v2
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-5-2-v2/special_tokens_map.json
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-5-2-v2/tokenizer_config.json
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-5-2-v2/config.json
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-5-2-v2/tokenizer.json
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-5-2-v2/flywheel_model.0.safetensors
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-v0-5-2-v2-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-v0-5-2-v2-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v0-5-2-v2-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-v0-5-2-v2-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v0-5-2-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.
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v0-5-2-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()
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: Saving duration: 0.236s
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 8.114s
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-5-2-v2_reward
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-5-2-v2_reward/special_tokens_map.json
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-5-2-v2_reward/config.json
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-5-2-v2_reward/tokenizer_config.json
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-5-2-v2_reward/vocab.json
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-5-2-v2_reward/merges.txt
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-5-2-v2_reward/tokenizer.json
cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-5-2-v2_reward/reward.tensors
Job cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer completed after 74.02s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v0-5-2-v2-mkmlizer
Pipeline stage MKMLizer completed in 78.73s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v0-5-2-v2
Waiting for inference service cgato-l3-thespice-8b-v0-5-2-v2 to be ready
Inference service cgato-l3-thespice-8b-v0-5-2-v2 ready after 30.383869171142578s
Pipeline stage ISVCDeployer completed in 39.05s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1067354679107666s
Received healthy response to inference request in 1.2799842357635498s
Received healthy response to inference request in 1.2753503322601318s
Received healthy response to inference request in 1.288811206817627s
Received healthy response to inference request in 1.2642080783843994s
5 requests
0 failed requests
5th percentile: 1.2664365291595459
10th percentile: 1.2686649799346923
20th percentile: 1.2731218814849854
30th percentile: 1.2762771129608155
40th percentile: 1.2781306743621825
50th percentile: 1.2799842357635498
60th percentile: 1.2835150241851807
70th percentile: 1.2870458126068116
80th percentile: 1.452396059036255
90th percentile: 1.779565763473511
95th percentile: 1.9431506156921385
99th percentile: 2.074018497467041
mean time: 1.4430178642272948
Pipeline stage StressChecker completed in 7.98s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
Running M-Eval for topic stay_in_character
cgato-l3-thespice-8b-v0-5-2_v2 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
cgato-l3-thespice-8b-v0-5-2_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-l3-thespice-8b-v0-5-2_v2
Running pipeline stage ISVCDeleter
Checking if service cgato-l3-thespice-8b-v0-5-2-v2 is running
Tearing down inference service cgato-l3-thespice-8b-v0-5-2-v2
Toredown service cgato-l3-thespice-8b-v0-5-2-v2
admin requested tearing down of cgato-l3-thespice-8b-v0-6-3_v1
Running pipeline stage ISVCDeleter
Pipeline stage ISVCDeleter completed in 3.43s
Running pipeline stage MKMLModelDeleter
Checking if service cgato-l3-thespice-8b-v0-6-3-v1 is running
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-v0-5-2-v2/config.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v0-5-2-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v0-5-2-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v0-5-2-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v0-5-2-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-v0-5-2-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-5-2-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-5-2-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-5-2-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-5-2-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-5-2-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-5-2-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.67s
cgato-l3-thespice-8b-v0-5-2_v2 status is now torndown due to DeploymentManager action