jellywibble-vampirekingd_6363

submission_id: jellywibble-vampirekingd_6363_v1
developer_uid: chai_backend_admin
best_of: 2
celo_rating: 1219.45
display_name: jellywibble-vampirekingd_6363_v1
family_friendly_score: 0.0
formatter: {'memory_template': '### Instruction:\n{memory}\n', 'prompt_template': '### Input:\n{prompt}\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '### Response:\n{bot_name}:', 'truncate_by_message': True}
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['</s>', '###'], 'max_input_tokens': 1500, 'best_of': 2, 'max_output_tokens': 128, 'reward_max_token_input': 256}
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: Jellywibble/VampireKingDedupEP2
max_input_tokens: 1500
max_output_tokens: 128
model_architecture: MistralForCausalLM
model_group: Jellywibble/VampireKingD
model_name: jellywibble-vampirekingd_6363_v1
model_num_parameters: 12772070400.0
model_repo: Jellywibble/VampireKingDedupEP2
model_size: 13B
num_battles: 10511
num_wins: 5289
ranking_group: single
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-08T01:24:50+00:00
us_pacific_date: 2024-08-07
win_ratio: 0.5031871372847493
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name jellywibble-vampirekingd-6363-v1-mkmlizer
Waiting for job on jellywibble-vampirekingd-6363-v1-mkmlizer to finish
Stopping job with name jellywibble-vampirekingd-6363-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name jellywibble-vampirekingd-6363-v1-mkmlizer
Waiting for job on jellywibble-vampirekingd-6363-v1-mkmlizer to finish
jellywibble-vampirekingd-6363-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-vampirekingd-6363-v1-mkmlizer: ║     _____            __           __                                ║
jellywibble-vampirekingd-6363-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jellywibble-vampirekingd-6363-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jellywibble-vampirekingd-6363-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jellywibble-vampirekingd-6363-v1-mkmlizer: ║       /___/                                                         ║
jellywibble-vampirekingd-6363-v1-mkmlizer: ║                                                                     ║
jellywibble-vampirekingd-6363-v1-mkmlizer: ║  Version: 0.9.9                                                     ║
jellywibble-vampirekingd-6363-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jellywibble-vampirekingd-6363-v1-mkmlizer: ║  https://mk1.ai                                                     ║
jellywibble-vampirekingd-6363-v1-mkmlizer: ║                                                                     ║
jellywibble-vampirekingd-6363-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
jellywibble-vampirekingd-6363-v1-mkmlizer: ║  belonging to:                                                      ║
jellywibble-vampirekingd-6363-v1-mkmlizer: ║                                                                     ║
jellywibble-vampirekingd-6363-v1-mkmlizer: ║  Chai Research Corp.                                                ║
jellywibble-vampirekingd-6363-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jellywibble-vampirekingd-6363-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jellywibble-vampirekingd-6363-v1-mkmlizer: ║                                                                     ║
jellywibble-vampirekingd-6363-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-vampirekingd-6363-v1-mkmlizer: Downloaded to shared memory in 46.333s
jellywibble-vampirekingd-6363-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7njshcmq, device:0
jellywibble-vampirekingd-6363-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-vampirekingd-6363-v1-mkmlizer: quantized model in 36.335s
jellywibble-vampirekingd-6363-v1-mkmlizer: Processed model Jellywibble/VampireKingDedupEP2 in 82.668s
jellywibble-vampirekingd-6363-v1-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-vampirekingd-6363-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-vampirekingd-6363-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-vampirekingd-6363-v1
jellywibble-vampirekingd-6363-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-vampirekingd-6363-v1/config.json
jellywibble-vampirekingd-6363-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-vampirekingd-6363-v1/special_tokens_map.json
jellywibble-vampirekingd-6363-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-vampirekingd-6363-v1/tokenizer_config.json
jellywibble-vampirekingd-6363-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-vampirekingd-6363-v1/tokenizer.json
jellywibble-vampirekingd-6363-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-vampirekingd-6363-v1/flywheel_model.0.safetensors
jellywibble-vampirekingd-6363-v1-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
jellywibble-vampirekingd-6363-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:11, 29.91it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:07, 49.14it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 44.40it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:07, 42.54it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 48.67it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:07, 45.97it/s]
Loading 0:  12%|█▏        | 42/363 [00:00<00:07, 44.71it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:06, 49.57it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 46.24it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:08, 33.79it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:08, 33.34it/s]
Loading 0:  20%|█▉        | 71/363 [00:01<00:07, 38.67it/s]
Loading 0:  21%|██        | 76/363 [00:01<00:07, 39.92it/s]
Loading 0:  22%|██▏       | 81/363 [00:01<00:06, 41.90it/s]
Loading 0:  24%|██▍       | 87/363 [00:02<00:06, 40.46it/s]
Loading 0:  25%|██▌       | 92/363 [00:02<00:06, 40.45it/s]
Loading 0:  27%|██▋       | 98/363 [00:02<00:05, 44.78it/s]
Loading 0:  28%|██▊       | 103/363 [00:02<00:05, 43.89it/s]
Loading 0:  30%|███       | 109/363 [00:02<00:05, 47.41it/s]
Loading 0:  31%|███▏      | 114/363 [00:02<00:06, 40.77it/s]
Loading 0:  33%|███▎      | 119/363 [00:02<00:06, 40.45it/s]
Loading 0:  34%|███▍      | 125/363 [00:02<00:05, 44.75it/s]
Loading 0:  36%|███▌      | 130/363 [00:03<00:05, 43.19it/s]
Loading 0:  37%|███▋      | 135/363 [00:03<00:05, 43.88it/s]
Loading 0:  39%|███▉      | 141/363 [00:03<00:05, 43.36it/s]
Loading 0:  40%|████      | 146/363 [00:03<00:07, 29.89it/s]
Loading 0:  41%|████▏     | 150/363 [00:03<00:07, 30.13it/s]
Loading 0:  43%|████▎     | 157/363 [00:03<00:05, 37.23it/s]
Loading 0:  45%|████▍     | 163/363 [00:04<00:05, 38.23it/s]
Loading 0:  46%|████▋     | 168/363 [00:04<00:04, 39.09it/s]
Loading 0:  48%|████▊     | 175/363 [00:04<00:04, 44.11it/s]
Loading 0:  50%|████▉     | 181/363 [00:04<00:04, 42.00it/s]
Loading 0:  51%|█████     | 186/363 [00:04<00:04, 41.17it/s]
Loading 0:  53%|█████▎    | 193/363 [00:04<00:03, 46.25it/s]
Loading 0:  55%|█████▍    | 199/363 [00:04<00:03, 44.04it/s]
Loading 0:  56%|█████▌    | 204/363 [00:04<00:03, 42.98it/s]
Loading 0:  58%|█████▊    | 211/363 [00:05<00:03, 47.24it/s]
Loading 0:  60%|█████▉    | 217/363 [00:05<00:03, 44.87it/s]
Loading 0:  61%|██████▏   | 223/363 [00:05<00:04, 33.96it/s]
Loading 0:  63%|██████▎   | 227/363 [00:05<00:03, 34.48it/s]
Loading 0:  64%|██████▎   | 231/363 [00:05<00:03, 33.44it/s]
Loading 0:  66%|██████▌   | 238/363 [00:05<00:03, 40.21it/s]
Loading 0:  67%|██████▋   | 243/363 [00:05<00:02, 42.25it/s]
Loading 0:  68%|██████▊   | 248/363 [00:06<00:03, 34.51it/s]
Loading 0:  70%|███████   | 255/363 [00:06<00:02, 41.60it/s]
Loading 0:  72%|███████▏  | 260/363 [00:06<00:02, 42.36it/s]
Loading 0:  73%|███████▎  | 265/363 [00:06<00:02, 42.85it/s]
Loading 0:  75%|███████▍  | 271/363 [00:06<00:02, 41.83it/s]
Loading 0:  76%|███████▌  | 276/363 [00:06<00:02, 41.21it/s]
Loading 0:  78%|███████▊  | 283/363 [00:06<00:01, 45.79it/s]
Loading 0:  79%|███████▉  | 288/363 [00:06<00:01, 46.68it/s]
Loading 0:  81%|████████  | 293/363 [00:07<00:01, 39.22it/s]
Loading 0:  82%|████████▏ | 299/363 [00:07<00:01, 44.03it/s]
Loading 0:  84%|████████▎ | 304/363 [00:14<00:23,  2.51it/s]
Loading 0:  85%|████████▍ | 308/363 [00:14<00:16,  3.24it/s]
Loading 0:  86%|████████▌ | 312/363 [00:14<00:12,  4.21it/s]
Loading 0:  88%|████████▊ | 320/363 [00:14<00:06,  6.99it/s]
Loading 0:  90%|████████▉ | 326/363 [00:14<00:03,  9.44it/s]
Loading 0:  91%|█████████ | 331/363 [00:14<00:02, 11.94it/s]
Loading 0:  93%|█████████▎| 338/363 [00:14<00:01, 16.68it/s]
Loading 0:  94%|█████████▍| 343/363 [00:14<00:00, 20.06it/s]
Loading 0:  96%|█████████▌| 348/363 [00:15<00:00, 21.85it/s]
Loading 0:  98%|█████████▊| 356/363 [00:15<00:00, 29.59it/s]
Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 31.89it/s]
                                                            
/opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:957: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
jellywibble-vampirekingd-6363-v1-mkmlizer:   warnings.warn(
jellywibble-vampirekingd-6363-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:785: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
jellywibble-vampirekingd-6363-v1-mkmlizer:   warnings.warn(
jellywibble-vampirekingd-6363-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:469: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
jellywibble-vampirekingd-6363-v1-mkmlizer:   warnings.warn(
jellywibble-vampirekingd-6363-v1-mkmlizer: 
Downloading shards:   0%|          | 0/2 [00:00<?, ?it/s]
Downloading shards:  50%|█████     | 1/2 [00:05<00:05,  5.34s/it]
Downloading shards: 100%|██████████| 2/2 [00:08<00:00,  4.28s/it]
Downloading shards: 100%|██████████| 2/2 [00:08<00:00,  4.43s/it]
jellywibble-vampirekingd-6363-v1-mkmlizer: 
Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards:  50%|█████     | 1/2 [00:00<00:00,  2.24it/s]
Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  3.75it/s]
Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  3.40it/s]
jellywibble-vampirekingd-6363-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jellywibble-vampirekingd-6363-v1-mkmlizer: Saving duration: 1.351s
jellywibble-vampirekingd-6363-v1-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.814s
jellywibble-vampirekingd-6363-v1-mkmlizer: creating bucket guanaco-reward-models
jellywibble-vampirekingd-6363-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-vampirekingd-6363-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-vampirekingd-6363-v1_reward
jellywibble-vampirekingd-6363-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jellywibble-vampirekingd-6363-v1_reward/config.json
jellywibble-vampirekingd-6363-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jellywibble-vampirekingd-6363-v1_reward/special_tokens_map.json
jellywibble-vampirekingd-6363-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jellywibble-vampirekingd-6363-v1_reward/tokenizer_config.json
jellywibble-vampirekingd-6363-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-vampirekingd-6363-v1_reward/merges.txt
jellywibble-vampirekingd-6363-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-vampirekingd-6363-v1_reward/vocab.json
jellywibble-vampirekingd-6363-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-vampirekingd-6363-v1_reward/tokenizer.json
jellywibble-vampirekingd-6363-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jellywibble-vampirekingd-6363-v1_reward/reward.tensors
Job jellywibble-vampirekingd-6363-v1-mkmlizer completed after 136.57s with status: succeeded
Stopping job with name jellywibble-vampirekingd-6363-v1-mkmlizer
Pipeline stage MKMLizer completed in 138.11s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-vampirekingd-6363-v1
Waiting for inference service jellywibble-vampirekingd-6363-v1 to be ready
Failed to get response for submission zonemercy-cogent-nemo-v1_3266_v2: ('http://zonemercy-cogent-nemo-v1-3266-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Failed to get response for submission zonemercy-cogent-nemo-v1_3266_v2: ('http://zonemercy-cogent-nemo-v1-3266-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Failed to get response for submission zonemercy-cogent-nemo-v1_3266_v2: ('http://zonemercy-cogent-nemo-v1-3266-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Failed to get response for submission zonemercy-cogent-nemo-v1_3266_v2: ('http://zonemercy-cogent-nemo-v1-3266-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Failed to get response for submission zonemercy-cogent-nemo-v1_3266_v2: ('http://zonemercy-cogent-nemo-v1-3266-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Inference service jellywibble-vampirekingd-6363-v1 ready after 191.1289038658142s
Pipeline stage ISVCDeployer completed in 193.56s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.666090726852417s
Received healthy response to inference request in 2.75581955909729s
Received healthy response to inference request in 2.702073335647583s
Received healthy response to inference request in 2.7622408866882324s
Received healthy response to inference request in 2.7554759979248047s
5 requests
0 failed requests
5th percentile: 2.7127538681030274
10th percentile: 2.723434400558472
20th percentile: 2.7447954654693603
30th percentile: 2.7555447101593016
40th percentile: 2.755682134628296
50th percentile: 2.75581955909729
60th percentile: 2.758388090133667
70th percentile: 2.760956621170044
80th percentile: 2.9430108547210696
90th percentile: 3.304550790786743
95th percentile: 3.48532075881958
99th percentile: 3.6299367332458496
mean time: 2.9283401012420653
Pipeline stage StressChecker completed in 15.28s
jellywibble-vampirekingd_6363_v1 status is now deployed due to DeploymentManager action
jellywibble-vampirekingd_6363_v1 status is now inactive due to auto deactivation removed underperforming models
jellywibble-vampirekingd_6363_v1 status is now torndown due to DeploymentManager action
admin requested tearing down of jellywibble-vampirekingd_6363_v1
Running pipeline stage ISVCDeleter
Pipeline stage %s skipped, reason=%s
Pipeline stage ISVCDeleter completed in 0.94s
Running pipeline stage MKMLModelDeleter
Pipeline stage %s skipped, reason=%s
Pipeline stage MKMLModelDeleter completed in 0.51s
jellywibble-vampirekingd_6363_v1 status is now torndown due to DeploymentManager action