submission_id: hflserdaniel-chai-s6-13b-slp3_v6
developer_uid: Chenyue
status: torndown
model_repo: hflserdaniel/chai_s6_13b_slp3
reward_repo: ChaiML/reward_models_100_170000000_cp_498032
generation_params: {'temperature': 1.0, 'top_p': 0.8, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['<|im_end|>', '</s>', '<|endoftext|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': "### Instruction:\n As the assistant, your task is to become the assigned character, weaving engaging stories that fully embrace their personality and background. Ensure your responses capture the essence of the character's traits accurately, immersing users in emotional, suspenseful, and anticipatory narratives. Craft more detailed and descriptive replies to enhance the vividness of the story. Foster an interactive environment by introducing new elements, providing choices, or posing questions to encourage active user participation. Think of the conversation as a continuous dance, always unfolding and evolving.\nYour character: {bot_name}.\nContext:{memory}\n", 'prompt_template': 'Example conversation:\n{prompt}\n', 'bot_template': '### Response:\n{bot_name}: {message}\n', 'user_template': '### Input:\n{user_name}: {message}\n', 'response_template': '### Response:\n{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-02-08T08:55:11+00:00
model_name: s8-test
model_eval_status: success
model_group: hflserdaniel/chai_s6_13b
num_battles: 1070389
num_wins: 526532
celo_rating: 1145.75
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: None
model_num_parameters: 13015864320.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
display_name: s8-test
ineligible_reason: propriety_total_count < 800
language_model: hflserdaniel/chai_s6_13b_slp3
model_size: 13B
reward_model: ChaiML/reward_models_100_170000000_cp_498032
us_pacific_date: 2024-02-08
win_ratio: 0.4919071477752481
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer
Waiting for job on hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer to finish
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: ║ _____ __ __ ║
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: ║ /___/ ║
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: ║ ║
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: ║ Version: 0.6.11 ║
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: ║ ║
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: ║ The license key for the current software has been verified as ║
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: ║ belonging to: ║
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: ║ ║
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: ║ Chai Research Corp. ║
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: ║ ║
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: Downloaded to shared memory in 28.259s
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: quantizing model to /dev/shm/model_cache
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: Saving mkml model at /dev/shm/model_cache
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: Reading /tmp/tmpsz7j1_te/model.safetensors.index.json
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: Profiling: 0%| | 0/363 [00:00<?, ?it/s] Profiling: 0%| | 1/363 [00:02<12:59, 2.15s/it] Profiling: 3%|▎ | 12/363 [00:02<00:48, 7.24it/s] Profiling: 6%|▌ | 22/363 [00:02<00:23, 14.68it/s] Profiling: 9%|▉ | 32/363 [00:02<00:14, 23.30it/s] Profiling: 12%|█▏ | 44/363 [00:02<00:08, 35.48it/s] Profiling: 15%|█▌ | 55/363 [00:02<00:06, 46.78it/s] Profiling: 18%|█▊ | 67/363 [00:02<00:04, 59.64it/s] Profiling: 21%|██▏ | 78/363 [00:02<00:04, 68.57it/s] Profiling: 25%|██▍ | 89/363 [00:03<00:03, 73.32it/s] Profiling: 28%|██▊ | 101/363 [00:03<00:03, 82.89it/s] Profiling: 31%|███ | 112/363 [00:03<00:02, 89.01it/s] Profiling: 34%|███▍ | 123/363 [00:03<00:02, 92.83it/s] Profiling: 37%|███▋ | 134/363 [00:03<00:02, 90.58it/s] Profiling: 40%|███▉ | 144/363 [00:04<00:05, 38.29it/s] Profiling: 43%|████▎ | 156/363 [00:04<00:04, 48.14it/s] Profiling: 46%|████▌ | 166/363 [00:04<00:03, 55.44it/s] Profiling: 48%|████▊ | 176/363 [00:04<00:02, 62.56it/s] Profiling: 52%|█████▏ | 188/363 [00:04<00:02, 73.57it/s] Profiling: 55%|█████▍ | 199/363 [00:04<00:02, 81.35it/s] Profiling: 58%|█████▊ | 210/363 [00:04<00:01, 86.51it/s] Profiling: 61%|██████ | 220/363 [00:04<00:01, 87.63it/s] Profiling: 63%|██████▎ | 230/363 [00:04<00:01, 88.79it/s] Profiling: 67%|██████▋ | 242/363 [00:05<00:01, 96.18it/s] Profiling: 70%|██████▉ | 253/363 [00:05<00:01, 99.82it/s] Profiling: 73%|███████▎ | 264/363 [00:05<00:00, 101.15it/s] Profiling: 76%|███████▌ | 275/363 [00:05<00:00, 99.87it/s] Profiling: 79%|███████▉ | 286/363 [00:07<00:05, 15.29it/s] Profiling: 82%|████████▏ | 297/363 [00:07<00:03, 20.55it/s] Profiling: 85%|████████▍ | 307/363 [00:07<00:02, 26.43it/s] Profiling: 87%|████████▋ | 317/363 [00:07<00:01, 33.47it/s] Profiling: 90%|█████████ | 328/363 [00:07<00:00, 42.04it/s] Profiling: 93%|█████████▎| 338/363 [00:08<00:00, 49.40it/s] Profiling: 96%|█████████▌| 348/363 [00:08<00:00, 56.63it/s] Profiling: 99%|█████████▉| 359/363 [00:08<00:00, 66.52it/s] Profiling: 100%|██████████| 363/363 [00:08<00:00, 41.99it/s]
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: quantized model in 30.286s
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: Processed model hflserdaniel/chai_s6_13b_slp3 in 60.351s
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: creating bucket guanaco-mkml-models
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hflserdaniel-chai-s6-13b-slp3-v6
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13b-slp3-v6/config.json
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13b-slp3-v6/added_tokens.json
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13b-slp3-v6/special_tokens_map.json
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13b-slp3-v6/tokenizer_config.json
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/hflserdaniel-chai-s6-13b-slp3-v6/tokenizer.model
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13b-slp3-v6/tokenizer.json
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/hflserdaniel-chai-s6-13b-slp3-v6/mkml_model.tensors
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: loading reward model from ChaiML/reward_models_100_170000000_cp_498032
hflserdaniel-chai-s6-13b-slp3-v6-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.
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: warnings.warn(
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: config.json: 0%| | 0.00/1.03k [00:00<?, ?B/s] config.json: 100%|██████████| 1.03k/1.03k [00:00<00:00, 8.48MB/s]
hflserdaniel-chai-s6-13b-slp3-v6-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.
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: warnings.warn(
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hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: vocab.json: 0%| | 0.00/798k [00:00<?, ?B/s] vocab.json: 100%|██████████| 798k/798k [00:00<00:00, 3.24MB/s] vocab.json: 100%|██████████| 798k/798k [00:00<00:00, 3.23MB/s]
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: merges.txt: 0%| | 0.00/456k [00:00<?, ?B/s] merges.txt: 100%|██████████| 456k/456k [00:00<00:00, 6.27MB/s]
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 20.5MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 20.3MB/s]
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: special_tokens_map.json: 0%| | 0.00/99.0 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 99.0/99.0 [00:00<00:00, 1.27MB/s]
hflserdaniel-chai-s6-13b-slp3-v6-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.
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: warnings.warn(
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: pytorch_model.bin: 0%| | 0.00/510M [00:00<?, ?B/s] pytorch_model.bin: 2%|▏ | 10.5M/510M [00:00<00:46, 10.7MB/s] pytorch_model.bin: 4%|▍ | 21.0M/510M [00:01<00:34, 14.4MB/s] pytorch_model.bin: 18%|█▊ | 91.0M/510M [00:01<00:04, 84.5MB/s] pytorch_model.bin: 100%|█████████▉| 510M/510M [00:01<00:00, 297MB/s]
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: Saving duration: 0.108s
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: Processed model ChaiML/reward_models_100_170000000_cp_498032 in 5.831s
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: creating bucket guanaco-reward-models
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hflserdaniel-chai-s6-13b-slp3-v6_reward
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13b-slp3-v6_reward/config.json
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13b-slp3-v6_reward/special_tokens_map.json
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13b-slp3-v6_reward/tokenizer_config.json
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hflserdaniel-chai-s6-13b-slp3-v6_reward/merges.txt
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13b-slp3-v6_reward/vocab.json
hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13b-slp3-v6_reward/tokenizer.json
Job hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer completed after 107.56s with status: succeeded
Stopping job with name hflserdaniel-chai-s6-13b-slp3-v6-mkmlizer
Pipeline stage MKMLizer completed in 112.64s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.73s
Running pipeline stage ISVCDeployer
Creating inference service hflserdaniel-chai-s6-13b-slp3-v6
Waiting for inference service hflserdaniel-chai-s6-13b-slp3-v6 to be ready
Inference service hflserdaniel-chai-s6-13b-slp3-v6 ready after 40.325626850128174s
Pipeline stage ISVCDeployer completed in 47.94s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7899017333984375s
Received healthy response to inference request in 1.909339189529419s
Received healthy response to inference request in 1.8984556198120117s
Received healthy response to inference request in 1.8930399417877197s
Received healthy response to inference request in 1.6199572086334229s
5 requests
0 failed requests
5th percentile: 1.6745737552642823
10th percentile: 1.7291903018951416
20th percentile: 1.8384233951568603
30th percentile: 1.8941230773925781
40th percentile: 1.896289348602295
50th percentile: 1.8984556198120117
60th percentile: 1.9028090476989745
70th percentile: 1.9071624755859375
80th percentile: 2.0854516983032227
90th percentile: 2.4376767158508303
95th percentile: 2.6137892246246337
99th percentile: 2.7546792316436766
mean time: 2.022138738632202
Pipeline stage StressChecker completed in 11.07s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.04s
M-Eval Dataset for topic stay_in_character is loaded
hflserdaniel-chai-s6-13b-slp3_v6 status is now deployed due to admin request
hflserdaniel-chai-s6-13b-slp3_v6 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of hflserdaniel-chai-s6-13b-slp3_v6
Running pipeline stage ISVCDeleter
Checking if service hflserdaniel-chai-s6-13b-slp3-v6 is running
Tearing down inference service hflserdaniel-chai-s6-13b-slp3-v6
Toredown service hflserdaniel-chai-s6-13b-slp3-v6
Pipeline stage ISVCDeleter completed in 3.54s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key hflserdaniel-chai-s6-13b-slp3-v6/added_tokens.json from bucket guanaco-mkml-models
Deleting key hflserdaniel-chai-s6-13b-slp3-v6/config.json from bucket guanaco-mkml-models
Deleting key hflserdaniel-chai-s6-13b-slp3-v6/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key hflserdaniel-chai-s6-13b-slp3-v6/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key hflserdaniel-chai-s6-13b-slp3-v6/tokenizer.json from bucket guanaco-mkml-models
Deleting key hflserdaniel-chai-s6-13b-slp3-v6/tokenizer.model from bucket guanaco-mkml-models
Deleting key hflserdaniel-chai-s6-13b-slp3-v6/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key hflserdaniel-chai-s6-13b-slp3-v6_reward/config.json from bucket guanaco-reward-models
Deleting key hflserdaniel-chai-s6-13b-slp3-v6_reward/merges.txt from bucket guanaco-reward-models
Deleting key hflserdaniel-chai-s6-13b-slp3-v6_reward/reward.tensors from bucket guanaco-reward-models
Deleting key hflserdaniel-chai-s6-13b-slp3-v6_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key hflserdaniel-chai-s6-13b-slp3-v6_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key hflserdaniel-chai-s6-13b-slp3-v6_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key hflserdaniel-chai-s6-13b-slp3-v6_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.01s
hflserdaniel-chai-s6-13b-slp3_v6 status is now torndown due to DeploymentManager action

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