submission_id: cgato-thespice-7b-ft-v0-4-1_v1
developer_uid: c.gato
status: torndown
model_repo: cgato/TheSpice-7b-FT-v0.4.1
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
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}
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: 2024-04-09T19:01:32+00:00
model_name: cgato-thespice-7b-ft-v0-4-1_v1
model_eval_status: success
model_group: cgato/TheSpice-7b-FT-v0.
num_battles: 64951
num_wins: 33297
celo_rating: 1172.4
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cgato-thespice-7b-ft-v0-4-1_v1
ineligible_reason: propriety_total_count < 800
language_model: cgato/TheSpice-7b-FT-v0.4.1
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-09
win_ratio: 0.512647996181737
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer
Waiting for job on cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer to finish
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: ║ _____ __ __ ║
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: ║ /___/ ║
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: ║ ║
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: ║ ║
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: ║ belonging to: ║
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: ║ ║
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: ║ ║
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: Downloaded to shared memory in 21.943s
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: Reading /tmp/tmpu56bjegb/model.safetensors.index.json
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cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: quantized model in 18.413s
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: Processed model cgato/TheSpice-7b-FT-v0.4.1 in 41.330s
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-ft-v0-4-1-v1
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-v0-4-1-v1/config.json
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-v0-4-1-v1/special_tokens_map.json
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-v0-4-1-v1/tokenizer_config.json
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-ft-v0-4-1-v1/tokenizer.model
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-v0-4-1-v1/tokenizer.json
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-ft-v0-4-1-v1/mkml_model.tensors
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1067: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: warnings.warn(
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:43, 32.6MB/s] pytorch_model.bin: 4%|▎ | 52.4M/1.44G [00:00<00:12, 112MB/s] pytorch_model.bin: 5%|▌ | 73.4M/1.44G [00:00<00:10, 133MB/s] pytorch_model.bin: 19%|█▉ | 273M/1.44G [00:00<00:01, 607MB/s] pytorch_model.bin: 37%|███▋ | 535M/1.44G [00:00<00:00, 1.03GB/s] pytorch_model.bin: 46%|████▌ | 658M/1.44G [00:01<00:00, 958MB/s] pytorch_model.bin: 62%|██████▏ | 889M/1.44G [00:01<00:00, 899MB/s] pytorch_model.bin: 69%|██████▉ | 994M/1.44G [00:02<00:01, 405MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:02<00:00, 666MB/s]
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: Saving duration: 0.254s
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.123s
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-ft-v0-4-1-v1_reward
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-ft-v0-4-1-v1_reward/tokenizer_config.json
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-ft-v0-4-1-v1_reward/special_tokens_map.json
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-ft-v0-4-1-v1_reward/config.json
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-ft-v0-4-1-v1_reward/merges.txt
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-ft-v0-4-1-v1_reward/vocab.json
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-ft-v0-4-1-v1_reward/tokenizer.json
cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-7b-ft-v0-4-1-v1_reward/reward.tensors
Job cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer completed after 75.51s with status: succeeded
Stopping job with name cgato-thespice-7b-ft-v0-4-1-v1-mkmlizer
Pipeline stage MKMLizer completed in 82.10s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-ft-v0-4-1-v1
Waiting for inference service cgato-thespice-7b-ft-v0-4-1-v1 to be ready
Inference service cgato-thespice-7b-ft-v0-4-1-v1 ready after 40.404419898986816s
Pipeline stage ISVCDeployer completed in 48.82s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8745081424713135s
Received healthy response to inference request in 1.3392293453216553s
Received healthy response to inference request in 1.8264029026031494s
Received healthy response to inference request in 1.2499825954437256s
Received healthy response to inference request in 1.1813819408416748s
5 requests
0 failed requests
5th percentile: 1.195102071762085
10th percentile: 1.208822202682495
20th percentile: 1.2362624645233153
30th percentile: 1.2678319454193114
40th percentile: 1.3035306453704834
50th percentile: 1.3392293453216553
60th percentile: 1.5340987682342528
70th percentile: 1.7289681911468504
80th percentile: 1.8360239505767821
90th percentile: 1.8552660465240478
95th percentile: 1.8648870944976808
99th percentile: 1.872583932876587
mean time: 1.4943009853363036
Pipeline stage StressChecker completed in 8.32s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
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 0.09s
cgato-thespice-7b-ft-v0-4-1_v1 status is now deployed due to DeploymentManager action
Scoring model output for bot %s
cgato-thespice-7b-ft-v0-4-1_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-thespice-7b-ft-v0-4-1_v1
Running pipeline stage ISVCDeleter
Checking if service cgato-thespice-7b-ft-v0-4-1-v1 is running
admin requested tearing down of cgato-thespice-7b-invert_1522_v5
Running pipeline stage ISVCDeleter
Checking if service cgato-thespice-7b-invert-1522-v5 is running
Tearing down inference service cgato-thespice-7b-ft-v0-4-1-v1
Toredown service cgato-thespice-7b-ft-v0-4-1-v1
Pipeline stage ISVCDeleter completed in 6.36s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-thespice-7b-ft-v0-4-1-v1/config.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-v0-4-1-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-v0-4-1-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-v0-4-1-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-v0-4-1-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-v0-4-1-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-thespice-7b-ft-v0-4-1-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-v0-4-1-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-v0-4-1-v1_reward/reward.tensors from bucket guanaco-reward-models
Tearing down inference service cgato-thespice-7b-invert-1522-v5
Deleting key cgato-thespice-7b-ft-v0-4-1-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-v0-4-1-v1_reward/tokenizer.json from bucket guanaco-reward-models
Toredown service cgato-thespice-7b-invert-1522-v5
Deleting key cgato-thespice-7b-ft-v0-4-1-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-v0-4-1-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage ISVCDeleter completed in 5.81s
Running pipeline stage MKMLModelDeleter
Pipeline stage MKMLModelDeleter completed in 4.53s
Cleaning model data from S3
cgato-thespice-7b-ft-v0-4-1_v1 status is now torndown due to DeploymentManager action
Cleaning model data from model cache

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