submission_id: grimjim-infinite-lemonad_9476_v1
developer_uid: grimjim.
status: torndown
model_repo: grimjim/infinite-lemonade-SLERP-7B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
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': 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: 2024-03-24T01:43:43+00:00
model_name: grimjim-infinite-lemonad_9476_v1
model_eval_status: success
model_group: grimjim/infinite-lemonad
num_battles: 68040
num_wins: 34844
celo_rating: 1165.74
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: None
model_num_parameters: 7241732096.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: grimjim-infinite-lemonad_9476_v1
ineligible_reason: propriety_total_count < 800
language_model: grimjim/infinite-lemonade-SLERP-7B
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-03-23
win_ratio: 0.5121105232216343
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name grimjim-infinite-lemonad-9476-v1-mkmlizer
Waiting for job on grimjim-infinite-lemonad-9476-v1-mkmlizer to finish
grimjim-infinite-lemonad-9476-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
grimjim-infinite-lemonad-9476-v1-mkmlizer: ║ _____ __ __ ║
grimjim-infinite-lemonad-9476-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
grimjim-infinite-lemonad-9476-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
grimjim-infinite-lemonad-9476-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
grimjim-infinite-lemonad-9476-v1-mkmlizer: ║ /___/ ║
grimjim-infinite-lemonad-9476-v1-mkmlizer: ║ ║
grimjim-infinite-lemonad-9476-v1-mkmlizer: ║ Version: 0.6.11 ║
grimjim-infinite-lemonad-9476-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
grimjim-infinite-lemonad-9476-v1-mkmlizer: ║ ║
grimjim-infinite-lemonad-9476-v1-mkmlizer: ║ The license key for the current software has been verified as ║
grimjim-infinite-lemonad-9476-v1-mkmlizer: ║ belonging to: ║
grimjim-infinite-lemonad-9476-v1-mkmlizer: ║ ║
grimjim-infinite-lemonad-9476-v1-mkmlizer: ║ Chai Research Corp. ║
grimjim-infinite-lemonad-9476-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
grimjim-infinite-lemonad-9476-v1-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
grimjim-infinite-lemonad-9476-v1-mkmlizer: ║ ║
grimjim-infinite-lemonad-9476-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
grimjim-infinite-lemonad-9476-v1-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 18.6MB/s]
grimjim-infinite-lemonad-9476-v1-mkmlizer: README.md: 0%| | 0.00/1.50k [00:00<?, ?B/s] README.md: 100%|██████████| 1.50k/1.50k [00:00<00:00, 18.5MB/s]
grimjim-infinite-lemonad-9476-v1-mkmlizer: config.json: 0%| | 0.00/645 [00:00<?, ?B/s] config.json: 100%|██████████| 645/645 [00:00<00:00, 8.99MB/s]
grimjim-infinite-lemonad-9476-v1-mkmlizer: mergekit_config.yml: 0%| | 0.00/465 [00:00<?, ?B/s] mergekit_config.yml: 100%|██████████| 465/465 [00:00<00:00, 6.29MB/s]
grimjim-infinite-lemonad-9476-v1-mkmlizer: model-00001-of-00003.safetensors: 0%| | 0.00/5.91G [00:00<?, ?B/s] model-00001-of-00003.safetensors: 0%| | 10.5M/5.91G [00:00<09:07, 10.8MB/s] model-00001-of-00003.safetensors: 0%| | 21.0M/5.91G [00:01<06:50, 14.3MB/s] model-00001-of-00003.safetensors: 4%|▎ | 210M/5.91G [00:01<00:30, 186MB/s] model-00001-of-00003.safetensors: 5%|▍ | 294M/5.91G [00:01<00:21, 258MB/s] model-00001-of-00003.safetensors: 9%|▉ | 545M/5.91G [00:01<00:09, 576MB/s] model-00001-of-00003.safetensors: 11%|█▏ | 671M/5.91G [00:02<00:08, 605MB/s] model-00001-of-00003.safetensors: 13%|█▎ | 786M/5.91G [00:02<00:08, 594MB/s] model-00001-of-00003.safetensors: 15%|█▍ | 881M/5.91G [00:02<00:08, 576MB/s] model-00001-of-00003.safetensors: 16%|█▋ | 965M/5.91G [00:02<00:08, 617MB/s] model-00001-of-00003.safetensors: 18%|█▊ | 1.06G/5.91G [00:02<00:07, 681MB/s] model-00001-of-00003.safetensors: 19%|█▉ | 1.14G/5.91G [00:02<00:07, 637MB/s] model-00001-of-00003.safetensors: 26%|██▋ | 1.55G/5.91G [00:02<00:03, 1.40GB/s] model-00001-of-00003.safetensors: 33%|███▎ | 1.97G/5.91G [00:03<00:01, 2.07GB/s] model-00001-of-00003.safetensors: 38%|███▊ | 2.22G/5.91G [00:03<00:02, 1.84GB/s] model-00001-of-00003.safetensors: 41%|████▏ | 2.44G/5.91G [00:03<00:01, 1.76GB/s] model-00001-of-00003.safetensors: 45%|████▍ | 2.65G/5.91G [00:03<00:01, 1.74GB/s] model-00001-of-00003.safetensors: 48%|████▊ | 2.85G/5.91G [00:03<00:01, 1.71GB/s] model-00001-of-00003.safetensors: 51%|█████▏ | 3.04G/5.91G [00:03<00:01, 1.64GB/s] model-00001-of-00003.safetensors: 55%|█████▍ | 3.22G/5.91G [00:03<00:01, 1.59GB/s] model-00001-of-00003.safetensors: 59%|█████▉ | 3.48G/5.91G [00:04<00:01, 1.82GB/s] model-00001-of-00003.safetensors: 62%|██████▏ | 3.68G/5.91G [00:04<00:01, 1.58GB/s] model-00001-of-00003.safetensors: 65%|██████▌ | 3.85G/5.91G [00:04<00:01, 1.22GB/s] model-00001-of-00003.safetensors: 68%|██████▊ | 4.00G/5.91G [00:04<00:01, 1.06GB/s] model-00001-of-00003.safetensors: 71%|███████ | 4.18G/5.91G [00:04<00:01, 1.22GB/s] model-00001-of-00003.safetensors: 78%|███████▊ | 4.61G/5.91G [00:04<00:00, 1.89GB/s] model-00001-of-00003.safetensors: 82%|████████▏ | 4.84G/5.91G [00:04<00:00, 1.96GB/s] model-00001-of-00003.safetensors: 86%|████████▌ | 5.08G/5.91G [00:05<00:00, 1.82GB/s] model-00001-of-00003.safetensors: 89%|████████▉ | 5.28G/5.91G [00:05<00:00, 1.64GB/s] model-00001-of-00003.safetensors: 93%|█████████▎| 5.47G/5.91G [00:05<00:00, 1.63GB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 5.91G/5.91G [00:05<00:00, 1.08GB/s]
grimjim-infinite-lemonad-9476-v1-mkmlizer: model-00002-of-00003.safetensors: 0%| | 0.00/5.96G [00:00<?, ?B/s] model-00002-of-00003.safetensors: 0%| | 10.5M/5.96G [00:00<08:55, 11.1MB/s] model-00002-of-00003.safetensors: 0%| | 21.0M/5.96G [00:01<06:56, 14.3MB/s] model-00002-of-00003.safetensors: 3%|▎ | 178M/5.96G [00:01<00:37, 156MB/s] model-00002-of-00003.safetensors: 4%|▎ | 220M/5.96G [00:01<00:31, 180MB/s] model-00002-of-00003.safetensors: 5%|▍ | 273M/5.96G [00:01<00:25, 224MB/s] model-00002-of-00003.safetensors: 10%|█ | 619M/5.96G [00:02<00:07, 742MB/s] model-00002-of-00003.safetensors: 13%|█▎ | 755M/5.96G [00:02<00:07, 712MB/s] model-00002-of-00003.safetensors: 15%|█▌ | 923M/5.96G [00:02<00:05, 849MB/s] model-00002-of-00003.safetensors: 18%|█▊ | 1.05G/5.96G [00:02<00:08, 610MB/s] model-00002-of-00003.safetensors: 27%|██▋ | 1.59G/5.96G [00:02<00:03, 1.36GB/s] model-00002-of-00003.safetensors: 31%|███ | 1.82G/5.96G [00:03<00:02, 1.53GB/s] model-00002-of-00003.safetensors: 35%|███▌ | 2.10G/5.96G [00:03<00:02, 1.70GB/s] model-00002-of-00003.safetensors: 39%|███▉ | 2.33G/5.96G [00:03<00:02, 1.31GB/s] model-00002-of-00003.safetensors: 43%|████▎ | 2.56G/5.96G [00:03<00:02, 1.48GB/s] model-00002-of-00003.safetensors: 47%|████▋ | 2.82G/5.96G [00:03<00:01, 1.67GB/s] model-00002-of-00003.safetensors: 51%|█████ | 3.03G/5.96G [00:03<00:02, 1.36GB/s] model-00002-of-00003.safetensors: 54%|█████▍ | 3.22G/5.96G [00:03<00:01, 1.46GB/s] model-00002-of-00003.safetensors: 57%|█████▋ | 3.40G/5.96G [00:04<00:01, 1.44GB/s] model-00002-of-00003.safetensors: 60%|█████▉ | 3.57G/5.96G [00:04<00:01, 1.36GB/s] model-00002-of-00003.safetensors: 63%|██████▎ | 3.76G/5.96G [00:04<00:01, 1.48GB/s] model-00002-of-00003.safetensors: 66%|██████▌ | 3.93G/5.96G [00:04<00:01, 1.35GB/s] model-00002-of-00003.safetensors: 68%|██████▊ | 4.08G/5.96G [00:04<00:01, 993MB/s] model-00002-of-00003.safetensors: 74%|███████▎ | 4.39G/5.96G [00:04<00:01, 1.40GB/s] model-00002-of-00003.safetensors: 80%|███████▉ | 4.76G/5.96G [00:04<00:00, 1.82GB/s] model-00002-of-00003.safetensors: 87%|████████▋ | 5.17G/5.96G [00:05<00:00, 2.32GB/s] model-00002-of-00003.safetensors: 91%|█████████▏| 5.45G/5.96G [00:05<00:00, 1.87GB/s] model-00002-of-00003.safetensors: 95%|█████████▌| 5.68G/5.96G [00:05<00:00, 1.84GB/s] model-00002-of-00003.safetensors: 100%|█████████▉| 5.96G/5.96G [00:05<00:00, 1.07GB/s]
grimjim-infinite-lemonad-9476-v1-mkmlizer: model-00003-of-00003.safetensors: 0%| | 0.00/2.62G [00:00<?, ?B/s] model-00003-of-00003.safetensors: 0%| | 10.5M/2.62G [00:01<05:06, 8.50MB/s] model-00003-of-00003.safetensors: 1%| | 21.0M/2.62G [00:01<02:36, 16.6MB/s] model-00003-of-00003.safetensors: 1%| | 31.5M/2.62G [00:01<01:40, 25.7MB/s] model-00003-of-00003.safetensors: 10%|▉ | 252M/2.62G [00:01<00:07, 324MB/s] model-00003-of-00003.safetensors: 13%|█▎ | 346M/2.62G [00:01<00:06, 337MB/s] model-00003-of-00003.safetensors: 20%|██ | 524M/2.62G [00:02<00:03, 554MB/s] model-00003-of-00003.safetensors: 25%|██▍ | 650M/2.62G [00:02<00:02, 666MB/s] model-00003-of-00003.safetensors: 29%|██▉ | 755M/2.62G [00:02<00:02, 693MB/s] model-00003-of-00003.safetensors: 33%|███▎ | 860M/2.62G [00:02<00:02, 758MB/s] model-00003-of-00003.safetensors: 37%|███▋ | 965M/2.62G [00:02<00:02, 604MB/s] model-00003-of-00003.safetensors: 40%|████ | 1.05G/2.62G [00:02<00:02, 582MB/s] model-00003-of-00003.safetensors: 45%|████▌ | 1.18G/2.62G [00:02<00:02, 708MB/s] model-00003-of-00003.safetensors: 62%|██████▏ | 1.63G/2.62G [00:03<00:00, 1.50GB/s] model-00003-of-00003.safetensors: 77%|███████▋ | 2.01G/2.62G [00:03<00:00, 2.05GB/s] model-00003-of-00003.safetensors: 87%|████████▋ | 2.26G/2.62G [00:03<00:00, 2.08GB/s] model-00003-of-00003.safetensors: 96%|█████████▌| 2.51G/2.62G [00:03<00:00, 1.23GB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 2.62G/2.62G [00:03<00:00, 699MB/s]
grimjim-infinite-lemonad-9476-v1-mkmlizer: model.safetensors.index.json: 0%| | 0.00/22.8k [00:00<?, ?B/s] model.safetensors.index.json: 100%|██████████| 22.8k/22.8k [00:00<00:00, 6.05MB/s]
grimjim-infinite-lemonad-9476-v1-mkmlizer: special_tokens_map.json: 0%| | 0.00/414 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 414/414 [00:00<00:00, 6.81MB/s]
grimjim-infinite-lemonad-9476-v1-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 7.15MB/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 7.12MB/s]
grimjim-infinite-lemonad-9476-v1-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 2.53MB/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 2.52MB/s]
grimjim-infinite-lemonad-9476-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/967 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 967/967 [00:00<00:00, 10.8MB/s]
grimjim-infinite-lemonad-9476-v1-mkmlizer: Downloaded to shared memory in 20.489s
grimjim-infinite-lemonad-9476-v1-mkmlizer: quantizing model to /dev/shm/model_cache
grimjim-infinite-lemonad-9476-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
grimjim-infinite-lemonad-9476-v1-mkmlizer: Reading /tmp/tmpb9booo72/model.safetensors.index.json
grimjim-infinite-lemonad-9476-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 1%| | 2/291 [00:00<00:17, 16.64it/s] Profiling: 4%|▍ | 13/291 [00:00<00:04, 66.25it/s] Profiling: 10%|█ | 30/291 [00:00<00:02, 104.88it/s] Profiling: 16%|█▌ | 47/291 [00:00<00:01, 122.27it/s] Profiling: 21%|██ | 60/291 [00:00<00:01, 122.93it/s] Profiling: 26%|██▌ | 75/291 [00:00<00:01, 126.97it/s] Profiling: 32%|███▏ | 92/291 [00:00<00:01, 134.33it/s] Profiling: 36%|███▋ | 106/291 [00:00<00:01, 132.43it/s] Profiling: 41%|████ | 120/291 [00:02<00:07, 23.94it/s] Profiling: 45%|████▍ | 130/291 [00:03<00:09, 16.97it/s] Profiling: 49%|████▉ | 143/291 [00:03<00:06, 22.96it/s] Profiling: 55%|█████▍ | 160/291 [00:03<00:03, 33.30it/s] Profiling: 61%|██████ | 177/291 [00:04<00:02, 45.58it/s] Profiling: 66%|██████▌ | 191/291 [00:04<00:01, 56.41it/s] Profiling: 70%|███████ | 205/291 [00:04<00:01, 68.23it/s] Profiling: 76%|███████▋ | 222/291 [00:04<00:00, 84.10it/s] Profiling: 82%|████████▏ | 238/291 [00:04<00:00, 67.43it/s] Profiling: 86%|████████▌ | 250/291 [00:04<00:00, 74.22it/s] Profiling: 92%|█████████▏| 267/291 [00:04<00:00, 90.21it/s] Profiling: 98%|█████████▊| 284/291 [00:05<00:00, 104.76it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 55.98it/s]
grimjim-infinite-lemonad-9476-v1-mkmlizer: quantized model in 17.318s
grimjim-infinite-lemonad-9476-v1-mkmlizer: Processed model grimjim/infinite-lemonade-SLERP-7B in 38.798s
grimjim-infinite-lemonad-9476-v1-mkmlizer: creating bucket guanaco-mkml-models
grimjim-infinite-lemonad-9476-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
grimjim-infinite-lemonad-9476-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/grimjim-infinite-lemonad-9476-v1
grimjim-infinite-lemonad-9476-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/grimjim-infinite-lemonad-9476-v1/config.json
grimjim-infinite-lemonad-9476-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/grimjim-infinite-lemonad-9476-v1/special_tokens_map.json
grimjim-infinite-lemonad-9476-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/grimjim-infinite-lemonad-9476-v1/tokenizer_config.json
grimjim-infinite-lemonad-9476-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/grimjim-infinite-lemonad-9476-v1/tokenizer.model
grimjim-infinite-lemonad-9476-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/grimjim-infinite-lemonad-9476-v1/tokenizer.json
grimjim-infinite-lemonad-9476-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/grimjim-infinite-lemonad-9476-v1/mkml_model.tensors
grimjim-infinite-lemonad-9476-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
grimjim-infinite-lemonad-9476-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.
grimjim-infinite-lemonad-9476-v1-mkmlizer: warnings.warn(
grimjim-infinite-lemonad-9476-v1-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 12.2MB/s]
grimjim-infinite-lemonad-9476-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.
grimjim-infinite-lemonad-9476-v1-mkmlizer: warnings.warn(
grimjim-infinite-lemonad-9476-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.30MB/s]
grimjim-infinite-lemonad-9476-v1-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 4.39MB/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 4.38MB/s]
grimjim-infinite-lemonad-9476-v1-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 18.5MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 18.4MB/s]
grimjim-infinite-lemonad-9476-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.
grimjim-infinite-lemonad-9476-v1-mkmlizer: warnings.warn(
grimjim-infinite-lemonad-9476-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:01<02:17, 10.4MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:01<01:04, 22.1MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:01<00:36, 38.0MB/s] pytorch_model.bin: 6%|▌ | 83.9M/1.44G [00:01<00:17, 77.6MB/s] pytorch_model.bin: 7%|▋ | 105M/1.44G [00:01<00:18, 72.0MB/s] pytorch_model.bin: 13%|█▎ | 189M/1.44G [00:02<00:07, 170MB/s] pytorch_model.bin: 36%|███▌ | 514M/1.44G [00:02<00:01, 654MB/s] pytorch_model.bin: 56%|█████▌ | 807M/1.44G [00:02<00:00, 1.07GB/s] pytorch_model.bin: 79%|███████▉ | 1.14G/1.44G [00:02<00:00, 1.52GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:05<00:00, 250MB/s]
grimjim-infinite-lemonad-9476-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
grimjim-infinite-lemonad-9476-v1-mkmlizer: Saving duration: 0.291s
grimjim-infinite-lemonad-9476-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 11.118s
grimjim-infinite-lemonad-9476-v1-mkmlizer: creating bucket guanaco-reward-models
grimjim-infinite-lemonad-9476-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
grimjim-infinite-lemonad-9476-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/grimjim-infinite-lemonad-9476-v1_reward
grimjim-infinite-lemonad-9476-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/grimjim-infinite-lemonad-9476-v1_reward/config.json
grimjim-infinite-lemonad-9476-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/grimjim-infinite-lemonad-9476-v1_reward/tokenizer_config.json
grimjim-infinite-lemonad-9476-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/grimjim-infinite-lemonad-9476-v1_reward/special_tokens_map.json
grimjim-infinite-lemonad-9476-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/grimjim-infinite-lemonad-9476-v1_reward/merges.txt
grimjim-infinite-lemonad-9476-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/grimjim-infinite-lemonad-9476-v1_reward/vocab.json
Job grimjim-infinite-lemonad-9476-v1-mkmlizer completed after 75.98s with status: succeeded
Stopping job with name grimjim-infinite-lemonad-9476-v1-mkmlizer
Pipeline stage MKMLizer completed in 78.75s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.15s
Running pipeline stage ISVCDeployer
Creating inference service grimjim-infinite-lemonad-9476-v1
Waiting for inference service grimjim-infinite-lemonad-9476-v1 to be ready
Inference service grimjim-infinite-lemonad-9476-v1 ready after 30.208624124526978s
Pipeline stage ISVCDeployer completed in 39.12s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.5853712558746338s
Received healthy response to inference request in 0.916182279586792s
Received healthy response to inference request in 1.0735118389129639s
Received healthy response to inference request in 1.2969434261322021s
Received healthy response to inference request in 1.0615637302398682s
5 requests
0 failed requests
5th percentile: 0.9452585697174072
10th percentile: 0.9743348598480225
20th percentile: 1.032487440109253
30th percentile: 1.0639533519744873
40th percentile: 1.0687325954437257
50th percentile: 1.0735118389129639
60th percentile: 1.1628844738006592
70th percentile: 1.2522571086883545
80th percentile: 1.3546289920806884
90th percentile: 1.4700001239776612
95th percentile: 1.5276856899261475
99th percentile: 1.5738341426849365
mean time: 1.186714506149292
Pipeline stage StressChecker completed in 6.75s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
Running M-Eval for topic stay_in_character
M-Eval Dataset for topic stay_in_character is loaded
grimjim-infinite-lemonad_9476_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of grimjim-infinite-lemonad_9476_v1
Running pipeline stage ISVCDeleter
Checking if service grimjim-infinite-lemonad-9476-v1 is running
Tearing down inference service grimjim-infinite-lemonad-9476-v1
Toredown service grimjim-infinite-lemonad-9476-v1
Pipeline stage ISVCDeleter completed in 3.26s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key grimjim-infinite-lemonad-9476-v1/config.json from bucket guanaco-mkml-models
Deleting key grimjim-infinite-lemonad-9476-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key grimjim-infinite-lemonad-9476-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key grimjim-infinite-lemonad-9476-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key grimjim-infinite-lemonad-9476-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key grimjim-infinite-lemonad-9476-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key grimjim-infinite-lemonad-9476-v1_reward/config.json from bucket guanaco-reward-models
Deleting key grimjim-infinite-lemonad-9476-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key grimjim-infinite-lemonad-9476-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key grimjim-infinite-lemonad-9476-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key grimjim-infinite-lemonad-9476-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key grimjim-infinite-lemonad-9476-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key grimjim-infinite-lemonad-9476-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 1.88s
grimjim-infinite-lemonad_9476_v1 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics