jellywibble-vampirekingd_5149

submission_id: jellywibble-vampirekingd_5149_v1
developer_uid: chai_backend_admin
best_of: 2
celo_rating: 1209.35
display_name: jellywibble-vampirekingd_5149_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/VampireKingDedupEP4
max_input_tokens: 1500
max_output_tokens: 128
model_architecture: MistralForCausalLM
model_group: Jellywibble/VampireKingD
model_name: jellywibble-vampirekingd_5149_v1
model_num_parameters: 12772070400.0
model_repo: Jellywibble/VampireKingDedupEP4
model_size: 13B
num_battles: 10539
num_wins: 5188
ranking_group: single
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-08T01:37:57+00:00
us_pacific_date: 2024-08-07
win_ratio: 0.4922668184837271
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name jellywibble-vampirekingd-5149-v1-mkmlizer
Waiting for job on jellywibble-vampirekingd-5149-v1-mkmlizer to finish
jellywibble-vampirekingd-5149-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-vampirekingd-5149-v1-mkmlizer: ║     _____            __           __                                ║
jellywibble-vampirekingd-5149-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jellywibble-vampirekingd-5149-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jellywibble-vampirekingd-5149-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jellywibble-vampirekingd-5149-v1-mkmlizer: ║       /___/                                                         ║
jellywibble-vampirekingd-5149-v1-mkmlizer: ║                                                                     ║
jellywibble-vampirekingd-5149-v1-mkmlizer: ║  Version: 0.9.9                                                     ║
jellywibble-vampirekingd-5149-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jellywibble-vampirekingd-5149-v1-mkmlizer: ║  https://mk1.ai                                                     ║
jellywibble-vampirekingd-5149-v1-mkmlizer: ║                                                                     ║
jellywibble-vampirekingd-5149-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
jellywibble-vampirekingd-5149-v1-mkmlizer: ║  belonging to:                                                      ║
jellywibble-vampirekingd-5149-v1-mkmlizer: ║                                                                     ║
jellywibble-vampirekingd-5149-v1-mkmlizer: ║  Chai Research Corp.                                                ║
jellywibble-vampirekingd-5149-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jellywibble-vampirekingd-5149-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jellywibble-vampirekingd-5149-v1-mkmlizer: ║                                                                     ║
jellywibble-vampirekingd-5149-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-vampirekingd-5149-v1-mkmlizer: Downloaded to shared memory in 47.405s
jellywibble-vampirekingd-5149-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_8fjl7bb, device:0
jellywibble-vampirekingd-5149-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-vampirekingd-5149-v1-mkmlizer: quantized model in 36.417s
jellywibble-vampirekingd-5149-v1-mkmlizer: Processed model Jellywibble/VampireKingDedupEP4 in 83.822s
jellywibble-vampirekingd-5149-v1-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-vampirekingd-5149-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-vampirekingd-5149-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-vampirekingd-5149-v1
jellywibble-vampirekingd-5149-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-vampirekingd-5149-v1/config.json
jellywibble-vampirekingd-5149-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-vampirekingd-5149-v1/special_tokens_map.json
jellywibble-vampirekingd-5149-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-vampirekingd-5149-v1/tokenizer.json
jellywibble-vampirekingd-5149-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-vampirekingd-5149-v1/flywheel_model.0.safetensors
jellywibble-vampirekingd-5149-v1-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
jellywibble-vampirekingd-5149-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:12, 29.82it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:07, 47.38it/s]
Loading 0:   5%|▍         | 18/363 [00:00<00:06, 49.42it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:08, 42.02it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 48.00it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:07, 45.46it/s]
Loading 0:  12%|█▏        | 42/363 [00:00<00:07, 44.63it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:06, 49.03it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 45.08it/s]
Loading 0:  17%|█▋        | 60/363 [00:01<00:09, 33.15it/s]
Loading 0:  18%|█▊        | 64/363 [00:01<00:12, 24.02it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:08, 32.44it/s]
Loading 0:  21%|██▏       | 78/363 [00:02<00:08, 34.00it/s]
Loading 0:  23%|██▎       | 83/363 [00:02<00:07, 35.78it/s]
Loading 0:  25%|██▍       | 90/363 [00:02<00:06, 41.53it/s]
Loading 0:  26%|██▋       | 96/363 [00:02<00:06, 40.40it/s]
Loading 0:  28%|██▊       | 101/363 [00:02<00:06, 39.36it/s]
Loading 0:  29%|██▉       | 106/363 [00:02<00:06, 41.52it/s]
Loading 0:  31%|███       | 113/363 [00:02<00:06, 41.19it/s]
Loading 0:  33%|███▎      | 118/363 [00:02<00:05, 40.85it/s]
Loading 0:  35%|███▍      | 126/363 [00:03<00:04, 48.15it/s]
Loading 0:  36%|███▌      | 131/363 [00:03<00:04, 48.58it/s]
Loading 0:  37%|███▋      | 136/363 [00:03<00:05, 41.49it/s]
Loading 0:  39%|███▉      | 142/363 [00:03<00:06, 33.08it/s]
Loading 0:  40%|████      | 146/363 [00:03<00:06, 33.82it/s]
Loading 0:  41%|████▏     | 150/363 [00:03<00:06, 32.59it/s]
Loading 0:  43%|████▎     | 156/363 [00:04<00:05, 38.04it/s]
Loading 0:  44%|████▍     | 161/363 [00:04<00:05, 39.46it/s]
Loading 0:  46%|████▌     | 166/363 [00:04<00:04, 41.01it/s]
Loading 0:  47%|████▋     | 171/363 [00:04<00:04, 42.50it/s]
Loading 0:  48%|████▊     | 176/363 [00:04<00:05, 37.04it/s]
Loading 0:  51%|█████     | 184/363 [00:04<00:03, 45.05it/s]
Loading 0:  52%|█████▏    | 190/363 [00:04<00:04, 42.62it/s]
Loading 0:  54%|█████▎    | 195/363 [00:04<00:04, 41.48it/s]
Loading 0:  55%|█████▌    | 201/363 [00:05<00:03, 45.59it/s]
Loading 0:  57%|█████▋    | 206/363 [00:05<00:03, 45.67it/s]
Loading 0:  58%|█████▊    | 211/363 [00:05<00:03, 46.39it/s]
Loading 0:  60%|█████▉    | 217/363 [00:05<00:03, 43.49it/s]
Loading 0:  61%|██████    | 222/363 [00:05<00:03, 44.72it/s]
Loading 0:  63%|██████▎   | 227/363 [00:05<00:04, 31.50it/s]
Loading 0:  64%|██████▎   | 231/363 [00:05<00:04, 31.08it/s]
Loading 0:  66%|██████▌   | 238/363 [00:06<00:03, 38.04it/s]
Loading 0:  67%|██████▋   | 244/363 [00:06<00:03, 38.43it/s]
Loading 0:  69%|██████▊   | 249/363 [00:06<00:02, 38.54it/s]
Loading 0:  70%|███████   | 255/363 [00:06<00:02, 42.34it/s]
Loading 0:  72%|███████▏  | 260/363 [00:06<00:02, 43.12it/s]
Loading 0:  73%|███████▎  | 265/363 [00:06<00:02, 44.36it/s]
Loading 0:  75%|███████▍  | 271/363 [00:06<00:02, 42.85it/s]
Loading 0:  76%|███████▌  | 276/363 [00:06<00:02, 41.64it/s]
Loading 0:  78%|███████▊  | 283/363 [00:07<00:01, 46.64it/s]
Loading 0:  80%|███████▉  | 289/363 [00:07<00:01, 43.97it/s]
Loading 0:  81%|████████  | 294/363 [00:07<00:01, 41.97it/s]
Loading 0:  82%|████████▏ | 299/363 [00:07<00:01, 42.25it/s]
Loading 0:  84%|████████▎ | 304/363 [00:14<00:23,  2.47it/s]
Loading 0:  85%|████████▌ | 310/363 [00:14<00:14,  3.58it/s]
Loading 0:  87%|████████▋ | 314/363 [00:14<00:10,  4.57it/s]
Loading 0:  88%|████████▊ | 320/363 [00:14<00:06,  6.60it/s]
Loading 0:  90%|████████▉ | 326/363 [00:14<00:04,  9.09it/s]
Loading 0:  91%|█████████ | 331/363 [00:14<00:02, 11.66it/s]
Loading 0:  93%|█████████▎| 338/363 [00:14<00:01, 16.45it/s]
Loading 0:  95%|█████████▍| 344/363 [00:15<00:00, 20.04it/s]
Loading 0:  96%|█████████▌| 349/363 [00:15<00:00, 23.30it/s]
Loading 0:  98%|█████████▊| 356/363 [00:15<00:00, 29.75it/s]
Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 32.14it/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-5149-v1-mkmlizer:   warnings.warn(
jellywibble-vampirekingd-5149-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-5149-v1-mkmlizer:   warnings.warn(
jellywibble-vampirekingd-5149-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-5149-v1-mkmlizer:   warnings.warn(
jellywibble-vampirekingd-5149-v1-mkmlizer: 
Downloading shards:   0%|          | 0/2 [00:00<?, ?it/s]
Downloading shards:  50%|█████     | 1/2 [00:05<00:05,  5.55s/it]
Downloading shards: 100%|██████████| 2/2 [00:08<00:00,  4.00s/it]
Downloading shards: 100%|██████████| 2/2 [00:08<00:00,  4.23s/it]
jellywibble-vampirekingd-5149-v1-mkmlizer: 
Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards:  50%|█████     | 1/2 [00:00<00:00,  2.07it/s]
Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  3.46it/s]
Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  3.14it/s]
jellywibble-vampirekingd-5149-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jellywibble-vampirekingd-5149-v1-mkmlizer: Saving duration: 1.443s
jellywibble-vampirekingd-5149-v1-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.589s
jellywibble-vampirekingd-5149-v1-mkmlizer: creating bucket guanaco-reward-models
jellywibble-vampirekingd-5149-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-vampirekingd-5149-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-vampirekingd-5149-v1_reward
jellywibble-vampirekingd-5149-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jellywibble-vampirekingd-5149-v1_reward/special_tokens_map.json
jellywibble-vampirekingd-5149-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jellywibble-vampirekingd-5149-v1_reward/config.json
jellywibble-vampirekingd-5149-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jellywibble-vampirekingd-5149-v1_reward/tokenizer_config.json
jellywibble-vampirekingd-5149-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-vampirekingd-5149-v1_reward/merges.txt
jellywibble-vampirekingd-5149-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-vampirekingd-5149-v1_reward/vocab.json
jellywibble-vampirekingd-5149-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-vampirekingd-5149-v1_reward/tokenizer.json
jellywibble-vampirekingd-5149-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jellywibble-vampirekingd-5149-v1_reward/reward.tensors
Job jellywibble-vampirekingd-5149-v1-mkmlizer completed after 135.78s with status: succeeded
Stopping job with name jellywibble-vampirekingd-5149-v1-mkmlizer
Pipeline stage MKMLizer completed in 137.03s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-vampirekingd-5149-v1
Waiting for inference service jellywibble-vampirekingd-5149-v1 to be ready
Inference service jellywibble-vampirekingd-5149-v1 ready after 181.1165952682495s
Pipeline stage ISVCDeployer completed in 182.60s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.5442330837249756s
Received healthy response to inference request in 2.721165895462036s
Received healthy response to inference request in 2.7160263061523438s
Received healthy response to inference request in 2.719794273376465s
Received healthy response to inference request in 2.7985825538635254s
5 requests
0 failed requests
5th percentile: 2.716779899597168
10th percentile: 2.717533493041992
20th percentile: 2.7190406799316404
30th percentile: 2.720068597793579
40th percentile: 2.720617246627808
50th percentile: 2.721165895462036
60th percentile: 2.7521325588226317
70th percentile: 2.7830992221832274
80th percentile: 2.9477126598358154
90th percentile: 3.2459728717803955
95th percentile: 3.3951029777526855
99th percentile: 3.5144070625305175
mean time: 2.899960422515869
Pipeline stage StressChecker completed in 15.18s
jellywibble-vampirekingd_5149_v1 status is now deployed due to DeploymentManager action
jellywibble-vampirekingd_5149_v1 status is now inactive due to auto deactivation removed underperforming models
jellywibble-vampirekingd_5149_v1 status is now torndown due to DeploymentManager action
admin requested tearing down of jellywibble-vampirekingd_5149_v1
Running pipeline stage ISVCDeleter
Pipeline stage %s skipped, reason=%s
Pipeline stage ISVCDeleter completed in 0.61s
Running pipeline stage MKMLModelDeleter
Pipeline stage %s skipped, reason=%s
Pipeline stage MKMLModelDeleter completed in 0.53s
jellywibble-vampirekingd_5149_v1 status is now torndown due to DeploymentManager action