submission_id: cgato-l3-thespice-8b-v3-3_v7
developer_uid: c.gato
best_of: 16
celo_rating: 1183.74
display_name: cgato-l3-thespice-8b-v3-3_v7
family_friendly_score: 0.0
formatter: {'memory_template': "<|im_start|>system\n{bot_name}'s Persona: {memory}<|im_end|>\n", 'prompt_template': '<|im_start|>system\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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': ['<|im_end|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cgato/L3-TheSpice-8b-v3.3
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-v3.
model_name: cgato-l3-thespice-8b-v3-3_v7
model_num_parameters: 8030277632.0
model_repo: cgato/L3-TheSpice-8b-v3.3
model_size: 8B
num_battles: 31926
num_wins: 16725
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: 2024-05-07T17:04:15+00:00
us_pacific_date: 2024-05-07
win_ratio: 0.5238676940424732
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v3-3-v7-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v3-3-v7-mkmlizer to finish
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: ║ _____ __ __ ║
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: ║ Version: 0.8.10 ║
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: ║ belonging to: ║
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: ║ Chai Research Corp. ║
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cgato-l3-thespice-8b-v3-3-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-v3-3-v7-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-v3-3-v7-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: Downloaded to shared memory in 11.714s
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:02, 81.33it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 85.35it/s] Loading 0: 99%|█████████▊| 287/291 [00:08<00:00, 28.58it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: quantized model in 20.092s
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: Processed model cgato/L3-TheSpice-8b-v3.3 in 32.951s
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v7
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v7/config.json
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v7/special_tokens_map.json
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v7/tokenizer_config.json
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v7/tokenizer.json
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v7/flywheel_model.0.safetensors
cgato-l3-thespice-8b-v3-3-v7-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-v3-3-v7-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-v7-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-v3-3-v7-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-v7-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-v3-3-v7-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: Saving duration: 0.250s
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.696s
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v7_reward
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v7_reward/merges.txt
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v7_reward/config.json
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v7_reward/special_tokens_map.json
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v7_reward/tokenizer_config.json
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v7_reward/vocab.json
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v7_reward/tokenizer.json
cgato-l3-thespice-8b-v3-3-v7-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v7_reward/reward.tensors
Job cgato-l3-thespice-8b-v3-3-v7-mkmlizer completed after 53.1s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v3-3-v7-mkmlizer
Pipeline stage MKMLizer completed in 60.49s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v3-3-v7
Waiting for inference service cgato-l3-thespice-8b-v3-3-v7 to be ready
Inference service cgato-l3-thespice-8b-v3-3-v7 ready after 30.362605571746826s
Pipeline stage ISVCDeployer completed in 38.61s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.233137369155884s
Received healthy response to inference request in 1.2844724655151367s
Received healthy response to inference request in 1.267526388168335s
Received healthy response to inference request in 1.2763738632202148s
Received healthy response to inference request in 1.2957391738891602s
5 requests
0 failed requests
5th percentile: 1.269295883178711
10th percentile: 1.2710653781890868
20th percentile: 1.274604368209839
30th percentile: 1.2779935836791991
40th percentile: 1.281233024597168
50th percentile: 1.2844724655151367
60th percentile: 1.2889791488647462
70th percentile: 1.2934858322143554
80th percentile: 1.483218812942505
90th percentile: 1.8581780910491945
95th percentile: 2.0456577301025387
99th percentile: 2.1956414413452148
mean time: 1.471449851989746
Pipeline stage StressChecker completed in 8.08s
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-v3-3_v7 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-v3-3_v7 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-l3-thespice-8b-v3-3_v7
Running pipeline stage ISVCDeleter
Checking if service cgato-l3-thespice-8b-v3-3-v7 is running
Tearing down inference service cgato-l3-thespice-8b-v3-3-v7
Toredown service cgato-l3-thespice-8b-v3-3-v7
Pipeline stage ISVCDeleter completed in 3.49s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-v3-3-v7/config.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v3-3-v7/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v3-3-v7/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v3-3-v7/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v3-3-v7/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-v3-3-v7_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v3-3-v7_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v3-3-v7_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v3-3-v7_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v3-3-v7_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v3-3-v7_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v3-3-v7_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 1.92s
cgato-l3-thespice-8b-v3-3_v7 status is now torndown due to DeploymentManager action