submission_id: chavyvakvar-habib-v3_v1
developer_uid: ChavyvAkvar
status: torndown
model_repo: ChavyvAkvar/habib-v3
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: 2024-04-05T16:30:44+00:00
model_name: chavyvakvar-habib-v3_v1
model_eval_status: success
model_group: ChavyvAkvar/habib-v3
num_battles: 111817
num_wins: 51682
celo_rating: 1130.89
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-v3_v1
ineligible_reason: propriety_total_count < 800
language_model: ChavyvAkvar/habib-v3
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-05
win_ratio: 0.4622016330253897
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name chavyvakvar-habib-v3-v1-mkmlizer
Waiting for job on chavyvakvar-habib-v3-v1-mkmlizer to finish
chavyvakvar-habib-v3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chavyvakvar-habib-v3-v1-mkmlizer: ║     _____            __           __                                ║
chavyvakvar-habib-v3-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chavyvakvar-habib-v3-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chavyvakvar-habib-v3-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chavyvakvar-habib-v3-v1-mkmlizer: ║       /___/                                                         ║
chavyvakvar-habib-v3-v1-mkmlizer: ║                                                                     ║
chavyvakvar-habib-v3-v1-mkmlizer: ║  Version: 0.6.11                                                    ║
chavyvakvar-habib-v3-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chavyvakvar-habib-v3-v1-mkmlizer: ║                                                                     ║
chavyvakvar-habib-v3-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chavyvakvar-habib-v3-v1-mkmlizer: ║  belonging to:                                                      ║
chavyvakvar-habib-v3-v1-mkmlizer: ║                                                                     ║
chavyvakvar-habib-v3-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chavyvakvar-habib-v3-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chavyvakvar-habib-v3-v1-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
chavyvakvar-habib-v3-v1-mkmlizer: ║                                                                     ║
chavyvakvar-habib-v3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chavyvakvar-habib-v3-v1-mkmlizer: 
.gitattributes:   0%|          | 0.00/1.52k [00:00<?, ?B/s]
.gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 17.0MB/s]
chavyvakvar-habib-v3-v1-mkmlizer: 
generation_config.json:   0%|          | 0.00/111 [00:00<?, ?B/s]
generation_config.json: 100%|██████████| 111/111 [00:00<00:00, 902kB/s]
chavyvakvar-habib-v3-v1-mkmlizer: 
model-00001-of-00003.safetensors:   0%|          | 0.00/4.94G [00:00<?, ?B/s]
model-00001-of-00003.safetensors:   0%|          | 10.5M/4.94G [00:02<23:20, 3.52MB/s]
model-00001-of-00003.safetensors:   0%|          | 21.0M/4.94G [00:03<10:24, 7.89MB/s]
model-00001-of-00003.safetensors:   1%|          | 41.9M/4.94G [00:03<04:15, 19.2MB/s]
model-00001-of-00003.safetensors:   1%|▏         | 62.9M/4.94G [00:03<02:28, 32.8MB/s]
model-00001-of-00003.safetensors:   6%|▌         | 304M/4.94G [00:03<00:18, 246MB/s]  
model-00001-of-00003.safetensors:   7%|▋         | 367M/4.94G [00:03<00:17, 259MB/s]
model-00001-of-00003.safetensors:  10%|█         | 503M/4.94G [00:03<00:11, 398MB/s]
model-00001-of-00003.safetensors:  24%|██▍       | 1.17G/4.94G [00:04<00:02, 1.26GB/s]
model-00001-of-00003.safetensors:  28%|██▊       | 1.37G/4.94G [00:04<00:04, 792MB/s] 
model-00001-of-00003.safetensors:  31%|███       | 1.52G/4.94G [00:04<00:04, 846MB/s]
model-00001-of-00003.safetensors:  35%|███▍      | 1.71G/4.94G [00:04<00:03, 986MB/s]
model-00001-of-00003.safetensors:  38%|███▊      | 1.87G/4.94G [00:05<00:03, 864MB/s]
model-00001-of-00003.safetensors:  43%|████▎     | 2.12G/4.94G [00:05<00:02, 1.13GB/s]
model-00001-of-00003.safetensors:  46%|████▌     | 2.29G/4.94G [00:05<00:02, 1.05GB/s]
model-00001-of-00003.safetensors:  49%|████▉     | 2.43G/4.94G [00:05<00:02, 896MB/s] 
model-00001-of-00003.safetensors:  52%|█████▏    | 2.59G/4.94G [00:05<00:02, 991MB/s]
model-00001-of-00003.safetensors:  55%|█████▍    | 2.72G/4.94G [00:05<00:02, 934MB/s]
model-00001-of-00003.safetensors:  62%|██████▏   | 3.07G/4.94G [00:06<00:01, 1.44GB/s]
model-00001-of-00003.safetensors:  70%|███████   | 3.47G/4.94G [00:06<00:00, 1.99GB/s]
model-00001-of-00003.safetensors:  75%|███████▌  | 3.71G/4.94G [00:06<00:00, 1.45GB/s]
model-00001-of-00003.safetensors:  79%|███████▉  | 3.91G/4.94G [00:06<00:00, 1.11GB/s]
model-00001-of-00003.safetensors:  82%|████████▏ | 4.07G/4.94G [00:06<00:00, 1.18GB/s]
model-00001-of-00003.safetensors:  85%|████████▌ | 4.23G/4.94G [00:06<00:00, 1.20GB/s]
model-00001-of-00003.safetensors:  90%|████████▉ | 4.44G/4.94G [00:07<00:00, 1.36GB/s]
model-00001-of-00003.safetensors:  93%|█████████▎| 4.60G/4.94G [00:07<00:00, 1.38GB/s]
model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:07<00:00, 1.47GB/s]
model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:07<00:00, 669MB/s] 
chavyvakvar-habib-v3-v1-mkmlizer: 
model-00002-of-00003.safetensors:   0%|          | 0.00/5.00G [00:00<?, ?B/s]
model-00002-of-00003.safetensors:   0%|          | 10.5M/5.00G [00:02<22:26, 3.71MB/s]
model-00002-of-00003.safetensors:   0%|          | 21.0M/5.00G [00:02<09:51, 8.42MB/s]
model-00002-of-00003.safetensors:   5%|▌         | 262M/5.00G [00:03<00:31, 151MB/s]  
model-00002-of-00003.safetensors:   7%|▋         | 367M/5.00G [00:03<00:21, 220MB/s]
model-00002-of-00003.safetensors:   9%|▉         | 451M/5.00G [00:03<00:17, 267MB/s]
model-00002-of-00003.safetensors:  18%|█▊        | 881M/5.00G [00:03<00:05, 747MB/s]
model-00002-of-00003.safetensors:  23%|██▎       | 1.13G/5.00G [00:03<00:03, 987MB/s]
model-00002-of-00003.safetensors:  27%|██▋       | 1.34G/5.00G [00:04<00:05, 629MB/s]
model-00002-of-00003.safetensors:  30%|██▉       | 1.50G/5.00G [00:04<00:05, 624MB/s]
model-00002-of-00003.safetensors:  33%|███▎      | 1.63G/5.00G [00:04<00:05, 641MB/s]
model-00002-of-00003.safetensors:  35%|███▍      | 1.74G/5.00G [00:04<00:05, 625MB/s]
model-00002-of-00003.safetensors:  37%|███▋      | 1.84G/5.00G [00:05<00:05, 578MB/s]
model-00002-of-00003.safetensors:  42%|████▏     | 2.12G/5.00G [00:05<00:03, 914MB/s]
model-00002-of-00003.safetensors:  45%|████▌     | 2.25G/5.00G [00:05<00:02, 940MB/s]
model-00002-of-00003.safetensors:  48%|████▊     | 2.38G/5.00G [00:05<00:03, 843MB/s]
model-00002-of-00003.safetensors:  50%|█████     | 2.51G/5.00G [00:05<00:02, 880MB/s]
model-00002-of-00003.safetensors:  52%|█████▏    | 2.61G/5.00G [00:05<00:02, 862MB/s]
model-00002-of-00003.safetensors:  60%|██████    | 3.02G/5.00G [00:05<00:01, 1.55GB/s]
model-00002-of-00003.safetensors:  68%|██████▊   | 3.38G/5.00G [00:06<00:00, 1.99GB/s]
model-00002-of-00003.safetensors:  72%|███████▏  | 3.62G/5.00G [00:06<00:00, 1.81GB/s]
model-00002-of-00003.safetensors:  77%|███████▋  | 3.83G/5.00G [00:06<00:01, 1.07GB/s]
model-00002-of-00003.safetensors:  80%|███████▉  | 4.00G/5.00G [00:06<00:01, 893MB/s] 
model-00002-of-00003.safetensors:  83%|████████▎ | 4.17G/5.00G [00:06<00:00, 995MB/s]
model-00002-of-00003.safetensors:  86%|████████▌ | 4.31G/5.00G [00:07<00:00, 1.03GB/s]
model-00002-of-00003.safetensors:  90%|█████████ | 4.51G/5.00G [00:07<00:00, 1.19GB/s]
model-00002-of-00003.safetensors:  98%|█████████▊| 4.88G/5.00G [00:07<00:00, 1.72GB/s]
model-00002-of-00003.safetensors: 100%|█████████▉| 5.00G/5.00G [00:08<00:00, 606MB/s] 
chavyvakvar-habib-v3-v1-mkmlizer: 
model-00003-of-00003.safetensors:   0%|          | 0.00/4.54G [00:00<?, ?B/s]
model-00003-of-00003.safetensors:   0%|          | 10.5M/4.54G [00:02<19:40, 3.84MB/s]
model-00003-of-00003.safetensors:   3%|▎         | 136M/4.54G [00:02<01:10, 62.5MB/s] 
model-00003-of-00003.safetensors:   5%|▌         | 241M/4.54G [00:03<00:36, 118MB/s] 
model-00003-of-00003.safetensors:   7%|▋         | 304M/4.54G [00:03<00:26, 158MB/s]
model-00003-of-00003.safetensors:   8%|▊         | 377M/4.54G [00:03<00:20, 204MB/s]
model-00003-of-00003.safetensors:  24%|██▍       | 1.10G/4.54G [00:03<00:03, 949MB/s]
model-00003-of-00003.safetensors:  28%|██▊       | 1.27G/4.54G [00:04<00:06, 511MB/s]
model-00003-of-00003.safetensors:  31%|███       | 1.39G/4.54G [00:04<00:05, 560MB/s]
model-00003-of-00003.safetensors:  38%|███▊      | 1.72G/4.54G [00:04<00:03, 832MB/s]
model-00003-of-00003.safetensors:  42%|████▏     | 1.90G/4.54G [00:04<00:02, 951MB/s]
model-00003-of-00003.safetensors:  45%|████▌     | 2.07G/4.54G [00:04<00:02, 944MB/s]
model-00003-of-00003.safetensors:  49%|████▊     | 2.21G/4.54G [00:05<00:02, 832MB/s]
model-00003-of-00003.safetensors:  56%|█████▌    | 2.55G/4.54G [00:05<00:01, 1.23GB/s]
model-00003-of-00003.safetensors:  60%|██████    | 2.74G/4.54G [00:05<00:01, 1.23GB/s]
model-00003-of-00003.safetensors:  64%|██████▍   | 2.90G/4.54G [00:05<00:01, 1.14GB/s]
model-00003-of-00003.safetensors:  67%|██████▋   | 3.05G/4.54G [00:05<00:01, 1.14GB/s]
model-00003-of-00003.safetensors:  70%|███████   | 3.20G/4.54G [00:05<00:01, 1.20GB/s]
model-00003-of-00003.safetensors:  74%|███████▎  | 3.34G/4.54G [00:06<00:01, 1.14GB/s]
model-00003-of-00003.safetensors:  78%|███████▊  | 3.53G/4.54G [00:06<00:00, 1.31GB/s]
model-00003-of-00003.safetensors:  81%|████████▏ | 3.69G/4.54G [00:06<00:00, 1.35GB/s]
model-00003-of-00003.safetensors:  85%|████████▍ | 3.84G/4.54G [00:06<00:00, 1.16GB/s]
model-00003-of-00003.safetensors:  88%|████████▊ | 3.97G/4.54G [00:06<00:00, 1.01GB/s]
model-00003-of-00003.safetensors:  91%|█████████ | 4.12G/4.54G [00:06<00:00, 1.11GB/s]
model-00003-of-00003.safetensors:  94%|█████████▎| 4.25G/4.54G [00:06<00:00, 994MB/s] 
model-00003-of-00003.safetensors:  96%|█████████▌| 4.36G/4.54G [00:07<00:00, 858MB/s]
model-00003-of-00003.safetensors: 100%|█████████▉| 4.54G/4.54G [00:07<00:00, 631MB/s]
chavyvakvar-habib-v3-v1-mkmlizer: 
model.safetensors.index.json:   0%|          | 0.00/25.1k [00:00<?, ?B/s]
model.safetensors.index.json: 100%|██████████| 25.1k/25.1k [00:00<00:00, 133MB/s]
chavyvakvar-habib-v3-v1-mkmlizer: 
special_tokens_map.json:   0%|          | 0.00/444 [00:00<?, ?B/s]
special_tokens_map.json: 100%|██████████| 444/444 [00:00<00:00, 3.47MB/s]
chavyvakvar-habib-v3-v1-mkmlizer: 
tokenizer.json:   0%|          | 0.00/1.80M [00:00<?, ?B/s]
tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 19.6MB/s]
chavyvakvar-habib-v3-v1-mkmlizer: 
tokenizer.model:   0%|          | 0.00/493k [00:00<?, ?B/s]
tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 18.3MB/s]
chavyvakvar-habib-v3-v1-mkmlizer: 
tokenizer_config.json:   0%|          | 0.00/1.28k [00:00<?, ?B/s]
tokenizer_config.json: 100%|██████████| 1.28k/1.28k [00:00<00:00, 20.6MB/s]
chavyvakvar-habib-v3-v1-mkmlizer: Downloaded to shared memory in 26.865s
chavyvakvar-habib-v3-v1-mkmlizer: quantizing model to /dev/shm/model_cache
chavyvakvar-habib-v3-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
chavyvakvar-habib-v3-v1-mkmlizer: Reading /tmp/tmpgjnd7pab/model.safetensors.index.json
chavyvakvar-habib-v3-v1-mkmlizer: 
Profiling:   0%|          | 0/291 [00:00<?, ?it/s]
Profiling:   0%|          | 1/291 [00:01<06:37,  1.37s/it]
Profiling:   7%|▋         | 20/291 [00:01<00:14, 18.46it/s]
Profiling:  13%|█▎        | 38/291 [00:01<00:06, 37.49it/s]
Profiling:  22%|██▏       | 63/291 [00:01<00:03, 67.13it/s]
Profiling:  29%|██▊       | 83/291 [00:01<00:02, 87.09it/s]
Profiling:  35%|███▍      | 101/291 [00:02<00:02, 75.62it/s]
Profiling:  41%|████      | 120/291 [00:02<00:01, 92.49it/s]
Profiling:  48%|████▊     | 139/291 [00:02<00:01, 109.65it/s]
Profiling:  55%|█████▍    | 159/291 [00:02<00:01, 128.47it/s]
Profiling:  61%|██████    | 177/291 [00:02<00:00, 139.68it/s]
Profiling:  68%|██████▊   | 198/291 [00:02<00:00, 156.13it/s]
Profiling:  75%|███████▍  | 217/291 [00:04<00:02, 36.11it/s] 
Profiling:  82%|████████▏ | 239/291 [00:04<00:01, 49.58it/s]
Profiling:  90%|█████████ | 262/291 [00:04<00:00, 66.82it/s]
Profiling:  98%|█████████▊| 284/291 [00:04<00:00, 84.59it/s]
Profiling: 100%|██████████| 291/291 [00:04<00:00, 62.90it/s]
chavyvakvar-habib-v3-v1-mkmlizer: quantized model in 14.382s
chavyvakvar-habib-v3-v1-mkmlizer: Processed model ChavyvAkvar/habib-v3 in 42.069s
chavyvakvar-habib-v3-v1-mkmlizer: creating bucket guanaco-mkml-models
chavyvakvar-habib-v3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chavyvakvar-habib-v3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chavyvakvar-habib-v3-v1
chavyvakvar-habib-v3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chavyvakvar-habib-v3-v1/config.json
chavyvakvar-habib-v3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chavyvakvar-habib-v3-v1/special_tokens_map.json
chavyvakvar-habib-v3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chavyvakvar-habib-v3-v1/tokenizer.json
chavyvakvar-habib-v3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chavyvakvar-habib-v3-v1/tokenizer_config.json
chavyvakvar-habib-v3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/chavyvakvar-habib-v3-v1/tokenizer.model
chavyvakvar-habib-v3-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/chavyvakvar-habib-v3-v1/mkml_model.tensors
chavyvakvar-habib-v3-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
chavyvakvar-habib-v3-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-v3-v1-mkmlizer:   warnings.warn(
chavyvakvar-habib-v3-v1-mkmlizer: 
config.json:   0%|          | 0.00/1.05k [00:00<?, ?B/s]
config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 7.83MB/s]
chavyvakvar-habib-v3-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-v3-v1-mkmlizer:   warnings.warn(
chavyvakvar-habib-v3-v1-mkmlizer: 
tokenizer_config.json:   0%|          | 0.00/234 [00:00<?, ?B/s]
tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.67MB/s]
chavyvakvar-habib-v3-v1-mkmlizer: 
vocab.json:   0%|          | 0.00/1.04M [00:00<?, ?B/s]
vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 43.8MB/s]
chavyvakvar-habib-v3-v1-mkmlizer: 
tokenizer.json:   0%|          | 0.00/2.11M [00:00<?, ?B/s]
tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 40.9MB/s]
chavyvakvar-habib-v3-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-v3-v1-mkmlizer:   warnings.warn(
chavyvakvar-habib-v3-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
chavyvakvar-habib-v3-v1-mkmlizer: Saving duration: 0.222s
chavyvakvar-habib-v3-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.555s
chavyvakvar-habib-v3-v1-mkmlizer: creating bucket guanaco-reward-models
chavyvakvar-habib-v3-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
chavyvakvar-habib-v3-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/chavyvakvar-habib-v3-v1_reward
chavyvakvar-habib-v3-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/chavyvakvar-habib-v3-v1_reward/config.json
chavyvakvar-habib-v3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/chavyvakvar-habib-v3-v1_reward/tokenizer_config.json
chavyvakvar-habib-v3-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/chavyvakvar-habib-v3-v1_reward/special_tokens_map.json
chavyvakvar-habib-v3-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/chavyvakvar-habib-v3-v1_reward/merges.txt
chavyvakvar-habib-v3-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/chavyvakvar-habib-v3-v1_reward/vocab.json
chavyvakvar-habib-v3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/chavyvakvar-habib-v3-v1_reward/tokenizer.json
chavyvakvar-habib-v3-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/chavyvakvar-habib-v3-v1_reward/reward.tensors
Job chavyvakvar-habib-v3-v1-mkmlizer completed after 76.81s with status: succeeded
Stopping job with name chavyvakvar-habib-v3-v1-mkmlizer
Pipeline stage MKMLizer completed in 81.55s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service chavyvakvar-habib-v3-v1
Waiting for inference service chavyvakvar-habib-v3-v1 to be ready
Inference service chavyvakvar-habib-v3-v1 ready after 40.31543254852295s
Pipeline stage ISVCDeployer completed in 48.09s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.287248134613037s
Received healthy response to inference request in 0.6385207176208496s
Received healthy response to inference request in 0.734804630279541s
Received healthy response to inference request in 0.6592791080474854s
Received healthy response to inference request in 0.5453898906707764s
5 requests
0 failed requests
5th percentile: 0.564016056060791
10th percentile: 0.5826422214508057
20th percentile: 0.619894552230835
30th percentile: 0.6426723957061767
40th percentile: 0.6509757518768311
50th percentile: 0.6592791080474854
60th percentile: 0.6894893169403076
70th percentile: 0.7196995258331299
80th percentile: 0.8452933311462403
90th percentile: 1.0662707328796388
95th percentile: 1.1767594337463378
99th percentile: 1.2651503944396973
mean time: 0.7730484962463379
Pipeline stage StressChecker completed in 4.74s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
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
chavyvakvar-habib-v3_v1 status is now deployed due to DeploymentManager action
chavyvakvar-habib-v3_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of chavyvakvar-habib-v3_v1
Running pipeline stage ISVCDeleter
Checking if service chavyvakvar-habib-v3-v1 is running
Tearing down inference service chavyvakvar-habib-v3-v1
Toredown service chavyvakvar-habib-v3-v1
Pipeline stage ISVCDeleter completed in 4.41s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key chavyvakvar-habib-v3-v1/config.json from bucket guanaco-mkml-models
Deleting key chavyvakvar-habib-v3-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key chavyvakvar-habib-v3-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key chavyvakvar-habib-v3-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key chavyvakvar-habib-v3-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key chavyvakvar-habib-v3-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key chavyvakvar-habib-v3-v1_reward/config.json from bucket guanaco-reward-models
Deleting key chavyvakvar-habib-v3-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key chavyvakvar-habib-v3-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key chavyvakvar-habib-v3-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key chavyvakvar-habib-v3-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key chavyvakvar-habib-v3-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key chavyvakvar-habib-v3-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.29s
chavyvakvar-habib-v3_v1 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics