submission_id: jellywibble-vampirekingd_8206_v2
developer_uid: chai_backend_admin
alignment_samples: 11501
alignment_score: 0.8489638748239866
best_of: 16
celo_rating: 1231.09
display_name: jellywibble-vampirekingd_8206_v2
formatter: {'memory_template': '### Instruction:\n{memory}\n', 'prompt_template': '### Input:\n{prompt}\n', 'bot_template': '{bot_name}: {message}</s>\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>', '###', 'You:', '\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}
is_internal_developer: True
language_model: Jellywibble/VampireKingDedupVicEP5
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Jellywibble/VampireKingD
model_name: jellywibble-vampirekingd_8206_v2
model_num_parameters: 12772070400.0
model_repo: Jellywibble/VampireKingDedupVicEP5
model_size: 13B
num_battles: 11501
num_wins: 5899
propriety_score: 0.741106719367589
propriety_total_count: 1012.0
ranking_group: single
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-12T22:05:17+00:00
us_pacific_date: 2024-08-12
win_ratio: 0.5129119207025477
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name jellywibble-vampirekingd-8206-v2-mkmlizer
Waiting for job on jellywibble-vampirekingd-8206-v2-mkmlizer to finish
Stopping job with name jellywibble-vampirekingd-8206-v2-mkmlizer
%s, retrying in %s seconds...
Starting job with name jellywibble-vampirekingd-8206-v2-mkmlizer
Waiting for job on jellywibble-vampirekingd-8206-v2-mkmlizer to finish
jellywibble-vampirekingd-8206-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-vampirekingd-8206-v2-mkmlizer: ║ _____ __ __ ║
jellywibble-vampirekingd-8206-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
jellywibble-vampirekingd-8206-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
jellywibble-vampirekingd-8206-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
jellywibble-vampirekingd-8206-v2-mkmlizer: ║ /___/ ║
jellywibble-vampirekingd-8206-v2-mkmlizer: ║ ║
jellywibble-vampirekingd-8206-v2-mkmlizer: ║ Version: 0.9.9 ║
jellywibble-vampirekingd-8206-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jellywibble-vampirekingd-8206-v2-mkmlizer: ║ https://mk1.ai ║
jellywibble-vampirekingd-8206-v2-mkmlizer: ║ ║
jellywibble-vampirekingd-8206-v2-mkmlizer: ║ The license key for the current software has been verified as ║
jellywibble-vampirekingd-8206-v2-mkmlizer: ║ belonging to: ║
jellywibble-vampirekingd-8206-v2-mkmlizer: ║ ║
jellywibble-vampirekingd-8206-v2-mkmlizer: ║ Chai Research Corp. ║
jellywibble-vampirekingd-8206-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jellywibble-vampirekingd-8206-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
jellywibble-vampirekingd-8206-v2-mkmlizer: ║ ║
jellywibble-vampirekingd-8206-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-vampirekingd-8206-v2-mkmlizer: Downloaded to shared memory in 47.791s
jellywibble-vampirekingd-8206-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpa6_pbthx, device:0
jellywibble-vampirekingd-8206-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission undi95-meta-llama-3-70b_6209_v18: ('http://undi95-meta-llama-3-70b-6209-v18-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'readfrom tcp 127.0.0.1:42640->127.0.0.1:8080: write tcp 127.0.0.1:42640->127.0.0.1:8080: use of closed network connection\n')
jellywibble-vampirekingd-8206-v2-mkmlizer: quantized model in 36.699s
jellywibble-vampirekingd-8206-v2-mkmlizer: Processed model Jellywibble/VampireKingDedupVicEP5 in 84.491s
jellywibble-vampirekingd-8206-v2-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-vampirekingd-8206-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-vampirekingd-8206-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-vampirekingd-8206-v2
jellywibble-vampirekingd-8206-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-vampirekingd-8206-v2/config.json
jellywibble-vampirekingd-8206-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-vampirekingd-8206-v2/special_tokens_map.json
jellywibble-vampirekingd-8206-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-vampirekingd-8206-v2/tokenizer_config.json
jellywibble-vampirekingd-8206-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-vampirekingd-8206-v2/flywheel_model.0.safetensors
jellywibble-vampirekingd-8206-v2-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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jellywibble-vampirekingd-8206-v2-mkmlizer: warnings.warn(
jellywibble-vampirekingd-8206-v2-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-8206-v2-mkmlizer: warnings.warn(
jellywibble-vampirekingd-8206-v2-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-8206-v2-mkmlizer: warnings.warn(
jellywibble-vampirekingd-8206-v2-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:06<00:06, 6.27s/it] Downloading shards: 100%|██████████| 2/2 [00:09<00:00, 4.44s/it] Downloading shards: 100%|██████████| 2/2 [00:09<00:00, 4.72s/it]
jellywibble-vampirekingd-8206-v2-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.29it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.77it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.43it/s]
jellywibble-vampirekingd-8206-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jellywibble-vampirekingd-8206-v2-mkmlizer: Saving duration: 1.447s
jellywibble-vampirekingd-8206-v2-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 14.709s
jellywibble-vampirekingd-8206-v2-mkmlizer: creating bucket guanaco-reward-models
jellywibble-vampirekingd-8206-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-vampirekingd-8206-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-vampirekingd-8206-v2_reward
jellywibble-vampirekingd-8206-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jellywibble-vampirekingd-8206-v2_reward/config.json
jellywibble-vampirekingd-8206-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jellywibble-vampirekingd-8206-v2_reward/special_tokens_map.json
jellywibble-vampirekingd-8206-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jellywibble-vampirekingd-8206-v2_reward/tokenizer_config.json
jellywibble-vampirekingd-8206-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-vampirekingd-8206-v2_reward/merges.txt
jellywibble-vampirekingd-8206-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-vampirekingd-8206-v2_reward/vocab.json
jellywibble-vampirekingd-8206-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-vampirekingd-8206-v2_reward/tokenizer.json
jellywibble-vampirekingd-8206-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jellywibble-vampirekingd-8206-v2_reward/reward.tensors
Job jellywibble-vampirekingd-8206-v2-mkmlizer completed after 135.58s with status: succeeded
Stopping job with name jellywibble-vampirekingd-8206-v2-mkmlizer
Pipeline stage MKMLizer completed in 137.30s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-vampirekingd-8206-v2
Waiting for inference service jellywibble-vampirekingd-8206-v2 to be ready
Inference service jellywibble-vampirekingd-8206-v2 ready after 201.2552523612976s
Pipeline stage ISVCDeployer completed in 203.03s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6891136169433594s
Received healthy response to inference request in 1.7693748474121094s
Received healthy response to inference request in 1.8093945980072021s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Received healthy response to inference request in 1.751349687576294s
Received healthy response to inference request in 1.7668952941894531s
5 requests
0 failed requests
5th percentile: 1.7544588088989257
10th percentile: 1.7575679302215577
20th percentile: 1.7637861728668214
30th percentile: 1.7673912048339844
40th percentile: 1.7683830261230469
50th percentile: 1.7693748474121094
60th percentile: 1.7853827476501465
70th percentile: 1.8013906478881836
80th percentile: 1.9853384017944338
90th percentile: 2.3372260093688966
95th percentile: 2.5131698131561278
99th percentile: 2.6539248561859132
mean time: 1.9572256088256836
Pipeline stage StressChecker completed in 11.22s
jellywibble-vampirekingd_8206_v2 status is now deployed due to DeploymentManager action
jellywibble-vampirekingd_8206_v2 status is now inactive due to auto deactivation removed underperforming models
jellywibble-vampirekingd_8206_v2 status is now torndown due to DeploymentManager action

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