submission_id: cgato-thespice-7b-invert_9589_v2
developer_uid: c.gato
best_of: 16
celo_rating: 1193.7
display_name: cgato-thespice-7b-invert_9589_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/TheSpice-7b-InvertedInstruct-v0.1.3
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_eval_status: success
model_group: cgato/TheSpice-7b-Invert
model_name: cgato-thespice-7b-invert_9589_v2
model_num_parameters: 7241732096.0
model_repo: cgato/TheSpice-7b-InvertedInstruct-v0.1.3
model_size: 7B
num_battles: 5867
num_wins: 3319
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: 2024-04-16T21:25:08+00:00
us_pacific_date: 2024-04-16
win_ratio: 0.5657064939492075
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-invert-9589-v2-mkmlizer
Waiting for job on cgato-thespice-7b-invert-9589-v2-mkmlizer to finish
cgato-thespice-7b-invert-9589-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-invert-9589-v2-mkmlizer: ║ _____ __ __ ║
cgato-thespice-7b-invert-9589-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-7b-invert-9589-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-7b-invert-9589-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-7b-invert-9589-v2-mkmlizer: ║ /___/ ║
cgato-thespice-7b-invert-9589-v2-mkmlizer: ║ ║
cgato-thespice-7b-invert-9589-v2-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespice-7b-invert-9589-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-7b-invert-9589-v2-mkmlizer: ║ ║
cgato-thespice-7b-invert-9589-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-7b-invert-9589-v2-mkmlizer: ║ belonging to: ║
cgato-thespice-7b-invert-9589-v2-mkmlizer: ║ ║
cgato-thespice-7b-invert-9589-v2-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-7b-invert-9589-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-7b-invert-9589-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thespice-7b-invert-9589-v2-mkmlizer: ║ ║
cgato-thespice-7b-invert-9589-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cgato-thespice-7b-invert-9589-v2-mkmlizer: Downloaded to shared memory in 26.639s
cgato-thespice-7b-invert-9589-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-7b-invert-9589-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespice-7b-invert-9589-v2-mkmlizer: Reading /tmp/tmprl06aadd/model.safetensors.index.json
cgato-thespice-7b-invert-9589-v2-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<08:29, 1.76s/it] Profiling: 5%|▍ | 14/291 [00:01<00:27, 10.18it/s] Profiling: 10%|▉ | 29/291 [00:01<00:11, 23.41it/s] Profiling: 16%|█▌ | 46/291 [00:02<00:06, 40.41it/s] Profiling: 22%|██▏ | 63/291 [00:02<00:03, 58.20it/s] Profiling: 26%|██▋ | 77/291 [00:02<00:02, 71.72it/s] Profiling: 31%|███▏ | 91/291 [00:02<00:02, 84.67it/s] Profiling: 36%|███▌ | 105/291 [00:02<00:03, 54.34it/s] Profiling: 42%|████▏ | 121/291 [00:02<00:02, 69.52it/s] Profiling: 47%|████▋ | 138/291 [00:03<00:01, 85.66it/s] Profiling: 52%|█████▏ | 152/291 [00:03<00:01, 96.05it/s] Profiling: 57%|█████▋ | 167/291 [00:03<00:01, 104.89it/s] Profiling: 63%|██████▎ | 184/291 [00:03<00:00, 118.73it/s] Profiling: 68%|██████▊ | 199/291 [00:03<00:00, 124.15it/s] Profiling: 74%|███████▎ | 214/291 [00:05<00:03, 22.13it/s] Profiling: 79%|███████▉ | 230/291 [00:05<00:02, 30.14it/s] Profiling: 85%|████████▍ | 247/291 [00:05<00:01, 40.77it/s] Profiling: 90%|████████▉ | 261/291 [00:05<00:00, 50.01it/s] Profiling: 95%|█████████▍| 276/291 [00:05<00:00, 61.14it/s] Profiling: 100%|██████████| 291/291 [00:06<00:00, 46.07it/s]
cgato-thespice-7b-invert-9589-v2-mkmlizer: Processed model cgato/TheSpice-7b-InvertedInstruct-v0.1.3 in 46.539s
cgato-thespice-7b-invert-9589-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-invert-9589-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-invert-9589-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v2
cgato-thespice-7b-invert-9589-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v2/special_tokens_map.json
cgato-thespice-7b-invert-9589-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v2/config.json
cgato-thespice-7b-invert-9589-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v2/tokenizer_config.json
cgato-thespice-7b-invert-9589-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v2/tokenizer.model
cgato-thespice-7b-invert-9589-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v2/tokenizer.json
cgato-thespice-7b-invert-9589-v2-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v2/mkml_model.tensors
cgato-thespice-7b-invert-9589-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-7b-invert-9589-v2-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-invert-9589-v2-mkmlizer: warnings.warn(
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cgato-thespice-7b-invert-9589-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:690: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-thespice-7b-invert-9589-v2-mkmlizer: warnings.warn(
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cgato-thespice-7b-invert-9589-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-thespice-7b-invert-9589-v2-mkmlizer: warnings.warn(
cgato-thespice-7b-invert-9589-v2-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:49, 28.7MB/s] pytorch_model.bin: 5%|▌ | 73.4M/1.44G [00:00<00:12, 107MB/s] pytorch_model.bin: 14%|█▍ | 199M/1.44G [00:00<00:04, 311MB/s] pytorch_model.bin: 29%|██▉ | 419M/1.44G [00:01<00:01, 689MB/s] pytorch_model.bin: 56%|█████▌ | 807M/1.44G [00:01<00:00, 1.40GB/s] pytorch_model.bin: 73%|███████▎ | 1.06G/1.44G [00:01<00:00, 1.66GB/s] pytorch_model.bin: 89%|████████▉ | 1.29G/1.44G [00:01<00:00, 1.71GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:05<00:00, 275MB/s]
cgato-thespice-7b-invert-9589-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-7b-invert-9589-v2-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-invert-9589-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-invert-9589-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v2_reward
cgato-thespice-7b-invert-9589-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v2_reward/config.json
cgato-thespice-7b-invert-9589-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v2_reward/tokenizer_config.json
cgato-thespice-7b-invert-9589-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v2_reward/merges.txt
cgato-thespice-7b-invert-9589-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v2_reward/special_tokens_map.json
cgato-thespice-7b-invert-9589-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v2_reward/vocab.json
cgato-thespice-7b-invert-9589-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v2_reward/tokenizer.json
cgato-thespice-7b-invert-9589-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v2_reward/reward.tensors
Job cgato-thespice-7b-invert-9589-v2-mkmlizer completed after 86.4s with status: succeeded
Stopping job with name cgato-thespice-7b-invert-9589-v2-mkmlizer
Pipeline stage MKMLizer completed in 90.17s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-invert-9589-v2
Waiting for inference service cgato-thespice-7b-invert-9589-v2 to be ready
Inference service cgato-thespice-7b-invert-9589-v2 ready after 40.25412845611572s
Pipeline stage ISVCDeployer completed in 47.72s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.4868016242980957s
Received healthy response to inference request in 1.0896704196929932s
Received healthy response to inference request in 1.1877477169036865s
Received healthy response to inference request in 1.232616662979126s
Received healthy response to inference request in 1.2185540199279785s
5 requests
0 failed requests
5th percentile: 1.1092858791351319
10th percentile: 1.1289013385772706
20th percentile: 1.1681322574615478
30th percentile: 1.193908977508545
40th percentile: 1.2062314987182616
50th percentile: 1.2185540199279785
60th percentile: 1.2241790771484375
70th percentile: 1.2298041343688966
80th percentile: 1.2834536552429199
90th percentile: 1.385127639770508
95th percentile: 1.4359646320343018
99th percentile: 1.4766342258453369
mean time: 1.243078088760376
Pipeline stage StressChecker completed in 7.00s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.05s
M-Eval Dataset for topic stay_in_character is loaded
cgato-thespice-7b-invert_9589_v2 status is now deployed due to DeploymentManager action
cgato-thespice-7b-invert_9589_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-thespice-7b-invert_9589_v2
Running pipeline stage ISVCDeleter
Checking if service cgato-thespice-7b-invert-9589-v2 is running
Tearing down inference service cgato-thespice-7b-invert-9589-v2
Toredown service cgato-thespice-7b-invert-9589-v2
Pipeline stage ISVCDeleter completed in 5.04s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-thespice-7b-invert-9589-v2/config.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-9589-v2/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-9589-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-9589-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-9589-v2/tokenizer.model from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-9589-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-thespice-7b-invert-9589-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-9589-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-9589-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-9589-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-9589-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-9589-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-9589-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.71s
cgato-thespice-7b-invert_9589_v2 status is now torndown due to DeploymentManager action