submission_id: cgato-thespice-7b-invert_9589_v1
developer_uid: c.gato
best_of: 16
celo_rating: 1185.76
display_name: cgato-thespice-7b-invert_9589_v1
family_friendly_score: 0.0
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}
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}
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_v1
model_num_parameters: 7241732096.0
model_repo: cgato/TheSpice-7b-InvertedInstruct-v0.1.3
model_size: 7B
num_battles: 5909
num_wins: 3293
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: 2024-04-16T19:05:51+00:00
us_pacific_date: 2024-04-16
win_ratio: 0.5572854966999492
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-invert-9589-v1-mkmlizer
Waiting for job on cgato-thespice-7b-invert-9589-v1-mkmlizer to finish
cgato-thespice-7b-invert-9589-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-invert-9589-v1-mkmlizer: ║ _____ __ __ ║
cgato-thespice-7b-invert-9589-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-7b-invert-9589-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-7b-invert-9589-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-7b-invert-9589-v1-mkmlizer: ║ /___/ ║
cgato-thespice-7b-invert-9589-v1-mkmlizer: ║ ║
cgato-thespice-7b-invert-9589-v1-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespice-7b-invert-9589-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-7b-invert-9589-v1-mkmlizer: ║ ║
cgato-thespice-7b-invert-9589-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-7b-invert-9589-v1-mkmlizer: ║ belonging to: ║
cgato-thespice-7b-invert-9589-v1-mkmlizer: ║ ║
cgato-thespice-7b-invert-9589-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-7b-invert-9589-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-7b-invert-9589-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thespice-7b-invert-9589-v1-mkmlizer: ║ ║
cgato-thespice-7b-invert-9589-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cgato-thespice-7b-invert-9589-v1-mkmlizer: Downloaded to shared memory in 29.374s
cgato-thespice-7b-invert-9589-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-7b-invert-9589-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespice-7b-invert-9589-v1-mkmlizer: Reading /tmp/tmp1xc2sjx8/model.safetensors.index.json
cgato-thespice-7b-invert-9589-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:04, 1.26s/it] Profiling: 5%|▍ | 14/291 [00:01<00:20, 13.83it/s] Profiling: 10%|▉ | 29/291 [00:01<00:08, 30.82it/s] Profiling: 16%|█▌ | 46/291 [00:01<00:04, 51.65it/s] Profiling: 22%|██▏ | 63/291 [00:01<00:03, 72.20it/s] Profiling: 27%|██▋ | 78/291 [00:01<00:02, 87.32it/s] Profiling: 32%|███▏ | 93/291 [00:01<00:02, 98.73it/s] Profiling: 37%|███▋ | 107/291 [00:02<00:02, 72.70it/s] Profiling: 42%|████▏ | 122/291 [00:02<00:01, 85.92it/s] Profiling: 48%|████▊ | 140/291 [00:02<00:01, 102.66it/s] Profiling: 54%|█████▍ | 158/291 [00:02<00:01, 116.39it/s] Profiling: 60%|██████ | 176/291 [00:02<00:00, 127.37it/s] Profiling: 67%|██████▋ | 194/291 [00:02<00:00, 135.51it/s] Profiling: 72%|███████▏ | 209/291 [00:04<00:02, 29.47it/s] Profiling: 76%|███████▋ | 222/291 [00:04<00:01, 36.43it/s] Profiling: 82%|████████▏ | 239/291 [00:04<00:01, 48.44it/s] Profiling: 88%|████████▊ | 256/291 [00:04<00:00, 62.15it/s] Profiling: 93%|█████████▎| 270/291 [00:04<00:00, 73.06it/s] Profiling: 98%|█████████▊| 285/291 [00:04<00:00, 84.13it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 57.25it/s]
cgato-thespice-7b-invert-9589-v1-mkmlizer: quantized model in 17.478s
cgato-thespice-7b-invert-9589-v1-mkmlizer: Processed model cgato/TheSpice-7b-InvertedInstruct-v0.1.3 in 47.792s
cgato-thespice-7b-invert-9589-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-invert-9589-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-invert-9589-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v1
cgato-thespice-7b-invert-9589-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v1/config.json
cgato-thespice-7b-invert-9589-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v1/special_tokens_map.json
cgato-thespice-7b-invert-9589-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v1/tokenizer_config.json
cgato-thespice-7b-invert-9589-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v1/tokenizer.model
cgato-thespice-7b-invert-9589-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v1/tokenizer.json
cgato-thespice-7b-invert-9589-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v1/mkml_model.tensors
cgato-thespice-7b-invert-9589-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-7b-invert-9589-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-invert-9589-v1-mkmlizer: warnings.warn(
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cgato-thespice-7b-invert-9589-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-thespice-7b-invert-9589-v1-mkmlizer: warnings.warn(
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cgato-thespice-7b-invert-9589-v1-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 4.23MB/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 4.22MB/s]
cgato-thespice-7b-invert-9589-v1-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 21.6MB/s]
cgato-thespice-7b-invert-9589-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-thespice-7b-invert-9589-v1-mkmlizer: warnings.warn(
cgato-thespice-7b-invert-9589-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<02:13, 10.7MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:01<01:13, 19.3MB/s] pytorch_model.bin: 2%|▏ | 31.5M/1.44G [00:01<00:50, 28.1MB/s] pytorch_model.bin: 12%|█▏ | 178M/1.44G [00:01<00:06, 182MB/s] pytorch_model.bin: 16%|█▌ | 231M/1.44G [00:01<00:05, 227MB/s] pytorch_model.bin: 54%|█████▎ | 776M/1.44G [00:01<00:00, 1.07GB/s] pytorch_model.bin: 68%|██████▊ | 975M/1.44G [00:02<00:00, 877MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:02<00:00, 620MB/s]
cgato-thespice-7b-invert-9589-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-7b-invert-9589-v1-mkmlizer: Saving duration: 0.273s
cgato-thespice-7b-invert-9589-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.563s
cgato-thespice-7b-invert-9589-v1-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-invert-9589-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-invert-9589-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v1_reward
cgato-thespice-7b-invert-9589-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v1_reward/config.json
cgato-thespice-7b-invert-9589-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v1_reward/tokenizer_config.json
cgato-thespice-7b-invert-9589-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v1_reward/special_tokens_map.json
cgato-thespice-7b-invert-9589-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v1_reward/merges.txt
cgato-thespice-7b-invert-9589-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v1_reward/vocab.json
cgato-thespice-7b-invert-9589-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v1_reward/tokenizer.json
cgato-thespice-7b-invert-9589-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v1_reward/reward.tensors
Job cgato-thespice-7b-invert-9589-v1-mkmlizer completed after 74.86s with status: succeeded
Stopping job with name cgato-thespice-7b-invert-9589-v1-mkmlizer
Pipeline stage MKMLizer completed in 79.89s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-invert-9589-v1
Waiting for inference service cgato-thespice-7b-invert-9589-v1 to be ready
Retrying (%r) after connection broken by '%r': %s
Inference service cgato-thespice-7b-invert-9589-v1 ready after 40.48205828666687s
Pipeline stage ISVCDeployer completed in 48.67s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7621862888336182s
Received healthy response to inference request in 1.3632733821868896s
Received healthy response to inference request in 1.203622817993164s
Received healthy response to inference request in 1.2206075191497803s
Received healthy response to inference request in 1.2277228832244873s
5 requests
0 failed requests
5th percentile: 1.2070197582244873
10th percentile: 1.2104166984558105
20th percentile: 1.217210578918457
30th percentile: 1.2220305919647216
40th percentile: 1.2248767375946046
50th percentile: 1.2277228832244873
60th percentile: 1.2819430828094482
70th percentile: 1.3361632823944092
80th percentile: 1.4430559635162354
90th percentile: 1.6026211261749268
95th percentile: 1.6824037075042724
99th percentile: 1.746229772567749
mean time: 1.355482578277588
Pipeline stage StressChecker completed in 7.69s
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-invert_9589_v1 status is now deployed due to DeploymentManager action
cgato-thespice-7b-invert_9589_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-thespice-7b-invert_9589_v1
Running pipeline stage ISVCDeleter
Checking if service cgato-thespice-7b-invert-9589-v1 is running
Tearing down inference service cgato-thespice-7b-invert-9589-v1
Toredown service cgato-thespice-7b-invert-9589-v1
Pipeline stage ISVCDeleter completed in 3.98s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-thespice-7b-invert-9589-v1/config.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-9589-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-9589-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-9589-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-9589-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-9589-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-thespice-7b-invert-9589-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-9589-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-9589-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-9589-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-9589-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-9589-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-9589-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.56s
cgato-thespice-7b-invert_9589_v1 status is now torndown due to DeploymentManager action