submission_id: chavyvakvar-habib-v4_v1
developer_uid: ChavyvAkvar
status: torndown
model_repo: ChavyvAkvar/habib-v4
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.8, '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': 4, '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: 2024-04-06T09:29:28+00:00
model_name: chavyvakvar-habib-v4_v1
model_eval_status: success
model_group: ChavyvAkvar/habib-v4
num_battles: 91728
num_wins: 42581
celo_rating: 1131.81
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: chavyvakvar-habib-v4_v1
ineligible_reason: propriety_total_count < 800
language_model: ChavyvAkvar/habib-v4
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-06
win_ratio: 0.4642094017094017
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name chavyvakvar-habib-v4-v1-mkmlizer
Waiting for job on chavyvakvar-habib-v4-v1-mkmlizer to finish
chavyvakvar-habib-v4-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chavyvakvar-habib-v4-v1-mkmlizer: ║ _____ __ __ ║
chavyvakvar-habib-v4-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chavyvakvar-habib-v4-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chavyvakvar-habib-v4-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chavyvakvar-habib-v4-v1-mkmlizer: ║ /___/ ║
chavyvakvar-habib-v4-v1-mkmlizer: ║ ║
chavyvakvar-habib-v4-v1-mkmlizer: ║ Version: 0.6.11 ║
chavyvakvar-habib-v4-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chavyvakvar-habib-v4-v1-mkmlizer: ║ ║
chavyvakvar-habib-v4-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chavyvakvar-habib-v4-v1-mkmlizer: ║ belonging to: ║
chavyvakvar-habib-v4-v1-mkmlizer: ║ ║
chavyvakvar-habib-v4-v1-mkmlizer: ║ Chai Research Corp. ║
chavyvakvar-habib-v4-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chavyvakvar-habib-v4-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
chavyvakvar-habib-v4-v1-mkmlizer: ║ ║
chavyvakvar-habib-v4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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chavyvakvar-habib-v4-v1-mkmlizer: Downloaded to shared memory in 15.869s
chavyvakvar-habib-v4-v1-mkmlizer: quantizing model to /dev/shm/model_cache
chavyvakvar-habib-v4-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
chavyvakvar-habib-v4-v1-mkmlizer: Reading /tmp/tmp79z50dxi/model.safetensors.index.json
chavyvakvar-habib-v4-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:07, 1.27s/it] Profiling: 1%| | 3/291 [00:01<01:45, 2.72it/s] Profiling: 7%|▋ | 20/291 [00:01<00:11, 23.68it/s] Profiling: 13%|█▎ | 38/291 [00:01<00:05, 47.30it/s] Profiling: 22%|██▏ | 63/291 [00:01<00:02, 82.07it/s] Profiling: 29%|██▊ | 83/291 [00:01<00:02, 103.31it/s] Profiling: 34%|███▍ | 100/291 [00:02<00:02, 81.12it/s] Profiling: 41%|████ | 120/291 [00:02<00:01, 100.53it/s] Profiling: 48%|████▊ | 139/291 [00:02<00:01, 116.96it/s] Profiling: 54%|█████▍ | 158/291 [00:02<00:01, 131.18it/s] Profiling: 62%|██████▏ | 179/291 [00:02<00:00, 149.26it/s] Profiling: 68%|██████▊ | 197/291 [00:02<00:00, 152.54it/s] Profiling: 74%|███████▍ | 215/291 [00:04<00:02, 33.71it/s] Profiling: 81%|████████ | 235/291 [00:04<00:01, 45.67it/s] Profiling: 88%|████████▊ | 256/291 [00:04<00:00, 61.02it/s] Profiling: 95%|█████████▍| 275/291 [00:04<00:00, 75.84it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 61.16it/s]
chavyvakvar-habib-v4-v1-mkmlizer: quantized model in 14.904s
chavyvakvar-habib-v4-v1-mkmlizer: Processed model ChavyvAkvar/habib-v4 in 31.699s
chavyvakvar-habib-v4-v1-mkmlizer: creating bucket guanaco-mkml-models
chavyvakvar-habib-v4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chavyvakvar-habib-v4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chavyvakvar-habib-v4-v1
chavyvakvar-habib-v4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chavyvakvar-habib-v4-v1/special_tokens_map.json
chavyvakvar-habib-v4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chavyvakvar-habib-v4-v1/tokenizer_config.json
chavyvakvar-habib-v4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chavyvakvar-habib-v4-v1/tokenizer.json
chavyvakvar-habib-v4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/chavyvakvar-habib-v4-v1/tokenizer.model
chavyvakvar-habib-v4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chavyvakvar-habib-v4-v1/config.json
chavyvakvar-habib-v4-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/chavyvakvar-habib-v4-v1/mkml_model.tensors
chavyvakvar-habib-v4-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
chavyvakvar-habib-v4-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.
chavyvakvar-habib-v4-v1-mkmlizer: warnings.warn(
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chavyvakvar-habib-v4-v1-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.
chavyvakvar-habib-v4-v1-mkmlizer: warnings.warn(
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chavyvakvar-habib-v4-v1-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.
chavyvakvar-habib-v4-v1-mkmlizer: warnings.warn(
chavyvakvar-habib-v4-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:22, 64.3MB/s] pytorch_model.bin: 5%|▌ | 73.4M/1.44G [00:00<00:04, 281MB/s] pytorch_model.bin: 13%|█▎ | 189M/1.44G [00:00<00:02, 579MB/s] pytorch_model.bin: 18%|█▊ | 262M/1.44G [00:00<00:02, 526MB/s] pytorch_model.bin: 28%|██▊ | 409M/1.44G [00:00<00:01, 790MB/s] pytorch_model.bin: 50%|█████ | 724M/1.44G [00:00<00:00, 1.45GB/s] pytorch_model.bin: 69%|██████▉ | 996M/1.44G [00:00<00:00, 1.62GB/s] pytorch_model.bin: 81%|████████ | 1.17G/1.44G [00:01<00:00, 1.21GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.20GB/s]
chavyvakvar-habib-v4-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
chavyvakvar-habib-v4-v1-mkmlizer: Saving duration: 0.232s
chavyvakvar-habib-v4-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.675s
chavyvakvar-habib-v4-v1-mkmlizer: creating bucket guanaco-reward-models
chavyvakvar-habib-v4-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
chavyvakvar-habib-v4-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/chavyvakvar-habib-v4-v1_reward
chavyvakvar-habib-v4-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/chavyvakvar-habib-v4-v1_reward/special_tokens_map.json
chavyvakvar-habib-v4-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/chavyvakvar-habib-v4-v1_reward/tokenizer_config.json
chavyvakvar-habib-v4-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/chavyvakvar-habib-v4-v1_reward/config.json
chavyvakvar-habib-v4-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/chavyvakvar-habib-v4-v1_reward/merges.txt
chavyvakvar-habib-v4-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/chavyvakvar-habib-v4-v1_reward/vocab.json
chavyvakvar-habib-v4-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/chavyvakvar-habib-v4-v1_reward/tokenizer.json
chavyvakvar-habib-v4-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/chavyvakvar-habib-v4-v1_reward/reward.tensors
Job chavyvakvar-habib-v4-v1-mkmlizer completed after 64.07s with status: succeeded
Stopping job with name chavyvakvar-habib-v4-v1-mkmlizer
Pipeline stage MKMLizer completed in 69.47s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service chavyvakvar-habib-v4-v1
Waiting for inference service chavyvakvar-habib-v4-v1 to be ready
Inference service chavyvakvar-habib-v4-v1 ready after 40.307061433792114s
Pipeline stage ISVCDeployer completed in 48.38s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.2644681930541992s
Received healthy response to inference request in 0.6303615570068359s
Received healthy response to inference request in 0.6795439720153809s
Received healthy response to inference request in 0.6781635284423828s
Received healthy response to inference request in 0.6367652416229248s
5 requests
0 failed requests
5th percentile: 0.6316422939300537
10th percentile: 0.6329230308532715
20th percentile: 0.6354845046997071
30th percentile: 0.6450448989868164
40th percentile: 0.6616042137145997
50th percentile: 0.6781635284423828
60th percentile: 0.678715705871582
70th percentile: 0.6792678833007812
80th percentile: 0.7965288162231446
90th percentile: 1.0304985046386719
95th percentile: 1.1474833488464355
99th percentile: 1.2410712242126465
mean time: 0.7778604984283447
Pipeline stage StressChecker completed in 4.76s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
Running M-Eval for topic stay_in_character
chavyvakvar-habib-v4_v1 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
chavyvakvar-habib-v4_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of chavyvakvar-habib-v4_v1
Running pipeline stage ISVCDeleter
Checking if service chavyvakvar-habib-v4-v1 is running
Tearing down inference service chavyvakvar-habib-v4-v1
Toredown service chavyvakvar-habib-v4-v1
Pipeline stage ISVCDeleter completed in 4.98s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key chavyvakvar-habib-v4-v1/config.json from bucket guanaco-mkml-models
Deleting key chavyvakvar-habib-v4-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key chavyvakvar-habib-v4-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key chavyvakvar-habib-v4-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key chavyvakvar-habib-v4-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key chavyvakvar-habib-v4-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key chavyvakvar-habib-v4-v1_reward/config.json from bucket guanaco-reward-models
Deleting key chavyvakvar-habib-v4-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key chavyvakvar-habib-v4-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key chavyvakvar-habib-v4-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key chavyvakvar-habib-v4-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key chavyvakvar-habib-v4-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key chavyvakvar-habib-v4-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.25s
chavyvakvar-habib-v4_v1 status is now torndown due to DeploymentManager action

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