submission_id: cgato-thespis-balanced-7b-v1_v1
developer_uid: c.gato
status: inactive
model_repo: cgato/Thespis-Balanced-7b-v1
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, '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}:'}
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}:'}
timestamp: 2024-03-15T10:42:09+00:00
model_name: Thespis-Balanced
model_eval_status: success
safety_score: 0.65
entertaining: 7.1
stay_in_character: 8.42
user_preference: 7.36
double_thumbs_up: 1421
thumbs_up: 2191
thumbs_down: 943
num_battles: 101832
num_wins: 52752
win_ratio: 0.5180296959698326
celo_rating: 1169.62
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespis-balanced-7b-v1-v1-mkmlizer
Waiting for job on cgato-thespis-balanced-7b-v1-v1-mkmlizer to finish
cgato-thespis-balanced-7b-v1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespis-balanced-7b-v1-v1-mkmlizer: ║ _____ __ __ ║
cgato-thespis-balanced-7b-v1-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
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cgato-thespis-balanced-7b-v1-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespis-balanced-7b-v1-v1-mkmlizer: ║ /___/ ║
cgato-thespis-balanced-7b-v1-v1-mkmlizer: ║ ║
cgato-thespis-balanced-7b-v1-v1-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespis-balanced-7b-v1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespis-balanced-7b-v1-v1-mkmlizer: ║ ║
cgato-thespis-balanced-7b-v1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespis-balanced-7b-v1-v1-mkmlizer: ║ belonging to: ║
cgato-thespis-balanced-7b-v1-v1-mkmlizer: ║ ║
cgato-thespis-balanced-7b-v1-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-thespis-balanced-7b-v1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespis-balanced-7b-v1-v1-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
cgato-thespis-balanced-7b-v1-v1-mkmlizer: ║ ║
cgato-thespis-balanced-7b-v1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cgato-thespis-balanced-7b-v1-v1-mkmlizer: Downloaded to shared memory in 18.217s
cgato-thespis-balanced-7b-v1-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespis-balanced-7b-v1-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespis-balanced-7b-v1-v1-mkmlizer: Reading /tmp/tmpxbbionwv/pytorch_model.bin.index.json
cgato-thespis-balanced-7b-v1-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:03<14:52, 3.08s/it] Profiling: 34%|███▎ | 98/291 [00:04<00:06, 31.65it/s] Profiling: 70%|███████ | 204/291 [00:04<00:01, 57.92it/s] Profiling: 100%|██████████| 291/291 [00:06<00:00, 60.38it/s] Profiling: 100%|██████████| 291/291 [00:06<00:00, 46.82it/s]
cgato-thespis-balanced-7b-v1-v1-mkmlizer: quantized model in 16.973s
cgato-thespis-balanced-7b-v1-v1-mkmlizer: Processed model cgato/Thespis-Balanced-7b-v1 in 36.053s
cgato-thespis-balanced-7b-v1-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespis-balanced-7b-v1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespis-balanced-7b-v1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespis-balanced-7b-v1-v1
cgato-thespis-balanced-7b-v1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespis-balanced-7b-v1-v1/config.json
cgato-thespis-balanced-7b-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespis-balanced-7b-v1-v1/tokenizer.model
cgato-thespis-balanced-7b-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespis-balanced-7b-v1-v1/tokenizer_config.json
cgato-thespis-balanced-7b-v1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespis-balanced-7b-v1-v1/special_tokens_map.json
cgato-thespis-balanced-7b-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespis-balanced-7b-v1-v1/tokenizer.json
cgato-thespis-balanced-7b-v1-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespis-balanced-7b-v1-v1/mkml_model.tensors
cgato-thespis-balanced-7b-v1-v1-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
cgato-thespis-balanced-7b-v1-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-thespis-balanced-7b-v1-v1-mkmlizer: warnings.warn(
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cgato-thespis-balanced-7b-v1-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.
cgato-thespis-balanced-7b-v1-v1-mkmlizer: warnings.warn(
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cgato-thespis-balanced-7b-v1-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.
cgato-thespis-balanced-7b-v1-v1-mkmlizer: warnings.warn(
cgato-thespis-balanced-7b-v1-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, 63.4MB/s] pytorch_model.bin: 2%|▏ | 31.5M/1.44G [00:00<00:11, 119MB/s] pytorch_model.bin: 6%|▌ | 83.9M/1.44G [00:00<00:06, 215MB/s] pytorch_model.bin: 8%|▊ | 115M/1.44G [00:00<00:06, 221MB/s] pytorch_model.bin: 12%|█▏ | 168M/1.44G [00:00<00:04, 302MB/s] pytorch_model.bin: 15%|█▍ | 210M/1.44G [00:00<00:03, 312MB/s] pytorch_model.bin: 20%|██ | 294M/1.44G [00:00<00:02, 429MB/s] pytorch_model.bin: 35%|███▍ | 503M/1.44G [00:01<00:01, 876MB/s] pytorch_model.bin: 54%|█████▎ | 776M/1.44G [00:01<00:00, 1.39GB/s] pytorch_model.bin: 80%|███████▉ | 1.15G/1.44G [00:01<00:00, 2.05GB/s] pytorch_model.bin: 99%|█████████▊| 1.42G/1.44G [00:01<00:00, 1.85GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 800MB/s]
cgato-thespis-balanced-7b-v1-v1-mkmlizer: creating bucket guanaco-reward-models
cgato-thespis-balanced-7b-v1-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespis-balanced-7b-v1-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespis-balanced-7b-v1-v1_reward
cgato-thespis-balanced-7b-v1-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespis-balanced-7b-v1-v1_reward/merges.txt
cgato-thespis-balanced-7b-v1-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespis-balanced-7b-v1-v1_reward/vocab.json
cgato-thespis-balanced-7b-v1-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespis-balanced-7b-v1-v1_reward/config.json
cgato-thespis-balanced-7b-v1-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespis-balanced-7b-v1-v1_reward/special_tokens_map.json
cgato-thespis-balanced-7b-v1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespis-balanced-7b-v1-v1_reward/tokenizer_config.json
cgato-thespis-balanced-7b-v1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespis-balanced-7b-v1-v1_reward/tokenizer.json
cgato-thespis-balanced-7b-v1-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespis-balanced-7b-v1-v1_reward/reward.tensors
Job cgato-thespis-balanced-7b-v1-v1-mkmlizer completed after 95.08s with status: succeeded
Stopping job with name cgato-thespis-balanced-7b-v1-v1-mkmlizer
Pipeline stage MKMLizer completed in 100.46s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespis-balanced-7b-v1-v1
Waiting for inference service cgato-thespis-balanced-7b-v1-v1 to be ready
Inference service cgato-thespis-balanced-7b-v1-v1 ready after 40.251009702682495s
Pipeline stage ISVCDeployer completed in 48.37s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.875911235809326s
Received healthy response to inference request in 1.1953678131103516s
Received healthy response to inference request in 1.1949336528778076s
Received healthy response to inference request in 2.065204620361328s
Received healthy response to inference request in 1.2063367366790771s
5 requests
0 failed requests
5th percentile: 1.1950204849243165
10th percentile: 1.1951073169708253
20th percentile: 1.1952809810638427
30th percentile: 1.1975615978240968
40th percentile: 1.201949167251587
50th percentile: 1.2063367366790771
60th percentile: 1.5498838901519774
70th percentile: 1.8934310436248778
80th percentile: 2.427345943450928
90th percentile: 3.151628589630127
95th percentile: 3.5137699127197264
99th percentile: 3.803482971191406
mean time: 1.9075508117675781
Pipeline stage StressChecker completed in 10.32s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.05s
Running M-Eval for topic stay_in_character
M-Eval Dataset for topic stay_in_character is loaded
cgato-thespis-balanced-7b-v1_v1 status is now inactive due to auto deactivation removed underperforming models

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