submission_id: cgato-l3-thespice-8b-v0-8-2_v1
developer_uid: c.gato
best_of: 16
celo_rating: 1186.11
display_name: cgato-l3-thespice-8b-v0-8-2_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': False}
generation_params: {'temperature': 1.0, 'top_p': 1.0, '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}
is_internal_developer: False
language_model: cgato/L3-TheSpice-8b-v0.8.2
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-v0-8-2_v1
model_num_parameters: 8030261248.0
model_repo: cgato/L3-TheSpice-8b-v0.8.2
model_size: 8B
num_battles: 5550
num_wins: 3007
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': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-04-23T21:51:15+00:00
us_pacific_date: 2024-04-23
win_ratio: 0.5418018018018018
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer to finish
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: ║ _____ __ __ ║
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cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: ║ ║
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: ║ Version: 0.8.10 ║
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: ║ ║
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cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: ║ belonging to: ║
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: ║ ║
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-v0-8-2-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-v0-8-2-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: Downloaded to shared memory in 92.116s
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▉ | 85/291 [00:01<00:02, 83.99it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 90.59it/s] Loading 0: 99%|█████████▊| 287/291 [00:08<00:00, 28.07it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: quantized model in 20.869s
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: Processed model cgato/L3-TheSpice-8b-v0.8.2 in 114.088s
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-8-2-v1
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-8-2-v1/special_tokens_map.json
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-8-2-v1/tokenizer_config.json
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-8-2-v1/config.json
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-8-2-v1/tokenizer.json
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-8-2-v1/flywheel_model.0.safetensors
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-v0-8-2-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-v0-8-2-v1-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v0-8-2-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-v0-8-2-v1-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v0-8-2-v1-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-v0-8-2-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: Saving duration: 0.251s
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.705s
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-8-2-v1_reward
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-8-2-v1_reward/tokenizer_config.json
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-8-2-v1_reward/config.json
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-8-2-v1_reward/special_tokens_map.json
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-8-2-v1_reward/merges.txt
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-8-2-v1_reward/tokenizer.json
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-8-2-v1_reward/vocab.json
cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-8-2-v1_reward/reward.tensors
Job cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer completed after 149.86s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v0-8-2-v1-mkmlizer
Pipeline stage MKMLizer completed in 154.89s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v0-8-2-v1
Waiting for inference service cgato-l3-thespice-8b-v0-8-2-v1 to be ready
Inference service cgato-l3-thespice-8b-v0-8-2-v1 ready after 30.40691590309143s
Pipeline stage ISVCDeployer completed in 37.94s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1048777103424072s
Received healthy response to inference request in 1.2712934017181396s
Received healthy response to inference request in 1.2506890296936035s
Received healthy response to inference request in 1.2398555278778076s
Received healthy response to inference request in 1.2579262256622314s
5 requests
0 failed requests
5th percentile: 1.2420222282409668
10th percentile: 1.2441889286041259
20th percentile: 1.2485223293304444
30th percentile: 1.252136468887329
40th percentile: 1.2550313472747803
50th percentile: 1.2579262256622314
60th percentile: 1.2632730960845948
70th percentile: 1.268619966506958
80th percentile: 1.4380102634429934
90th percentile: 1.7714439868927003
95th percentile: 1.9381608486175534
99th percentile: 2.0715343379974365
mean time: 1.4249283790588378
Pipeline stage StressChecker completed in 7.73s
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-v0-8-2_v1 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
cgato-l3-thespice-8b-v0-8-2_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-l3-thespice-8b-v0-8-2_v1
Running pipeline stage ISVCDeleter
Checking if service cgato-l3-thespice-8b-v0-8-2-v1 is running
Tearing down inference service cgato-l3-thespice-8b-v0-8-2-v1
Toredown service cgato-l3-thespice-8b-v0-8-2-v1
Pipeline stage ISVCDeleter completed in 3.52s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-v0-8-2-v1/config.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v0-8-2-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v0-8-2-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v0-8-2-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v0-8-2-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-v0-8-2-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-8-2-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-8-2-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-8-2-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-8-2-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-8-2-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-8-2-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.46s
cgato-l3-thespice-8b-v0-8-2_v1 status is now torndown due to DeploymentManager action