submission_id: jellywibble-gojosatorushort_v3
developer_uid: Jellywibble
best_of: 16
celo_rating: 1205.3
display_name: jellywibble-gojosatorushort_v2
family_friendly_score: 0.0
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}</s>\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{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': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}
is_internal_developer: True
language_model: Jellywibble/GojoSatoruShort
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Jellywibble/GojoSatoruSh
model_name: jellywibble-gojosatorushort_v2
model_num_parameters: 12772070400.0
model_repo: Jellywibble/GojoSatoruShort
model_size: 13B
num_battles: 11341
num_wins: 5328
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-14T19:03:47+00:00
us_pacific_date: 2024-08-14
win_ratio: 0.4697998412838374
Download Preferencedata
Resubmit model
Running pipeline stage MKMLizer
Starting job with name jellywibble-gojosatorushort-v3-mkmlizer
Waiting for job on jellywibble-gojosatorushort-v3-mkmlizer to finish
jellywibble-gojosatorushort-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-gojosatorushort-v3-mkmlizer: ║ _____ __ __ ║
jellywibble-gojosatorushort-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
jellywibble-gojosatorushort-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
jellywibble-gojosatorushort-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
jellywibble-gojosatorushort-v3-mkmlizer: ║ /___/ ║
jellywibble-gojosatorushort-v3-mkmlizer: ║ ║
jellywibble-gojosatorushort-v3-mkmlizer: ║ Version: 0.9.9 ║
jellywibble-gojosatorushort-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jellywibble-gojosatorushort-v3-mkmlizer: ║ https://mk1.ai ║
jellywibble-gojosatorushort-v3-mkmlizer: ║ ║
jellywibble-gojosatorushort-v3-mkmlizer: ║ The license key for the current software has been verified as ║
jellywibble-gojosatorushort-v3-mkmlizer: ║ belonging to: ║
jellywibble-gojosatorushort-v3-mkmlizer: ║ ║
jellywibble-gojosatorushort-v3-mkmlizer: ║ Chai Research Corp. ║
jellywibble-gojosatorushort-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jellywibble-gojosatorushort-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
jellywibble-gojosatorushort-v3-mkmlizer: ║ ║
jellywibble-gojosatorushort-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-gojosatorushort-v3-mkmlizer: Downloaded to shared memory in 57.882s
jellywibble-gojosatorushort-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpb7nppn6h, device:0
jellywibble-gojosatorushort-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
jellywibble-gojosatorushort-v3-mkmlizer: quantized model in 34.708s
jellywibble-gojosatorushort-v3-mkmlizer: Processed model Jellywibble/GojoSatoruShort in 92.590s
jellywibble-gojosatorushort-v3-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-gojosatorushort-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-gojosatorushort-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-gojosatorushort-v3
jellywibble-gojosatorushort-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-gojosatorushort-v3/config.json
jellywibble-gojosatorushort-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-gojosatorushort-v3/special_tokens_map.json
jellywibble-gojosatorushort-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-gojosatorushort-v3/tokenizer_config.json
jellywibble-gojosatorushort-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-gojosatorushort-v3/tokenizer.json
jellywibble-gojosatorushort-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-gojosatorushort-v3/flywheel_model.0.safetensors
jellywibble-gojosatorushort-v3-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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jellywibble-gojosatorushort-v3-mkmlizer: warnings.warn(
jellywibble-gojosatorushort-v3-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-gojosatorushort-v3-mkmlizer: warnings.warn(
jellywibble-gojosatorushort-v3-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-gojosatorushort-v3-mkmlizer: warnings.warn(
jellywibble-gojosatorushort-v3-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.52s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.21s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.40s/it]
jellywibble-gojosatorushort-v3-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.49it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 4.11it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.74it/s]
jellywibble-gojosatorushort-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jellywibble-gojosatorushort-v3-mkmlizer: Saving duration: 1.330s
jellywibble-gojosatorushort-v3-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.597s
jellywibble-gojosatorushort-v3-mkmlizer: creating bucket guanaco-reward-models
jellywibble-gojosatorushort-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-gojosatorushort-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-gojosatorushort-v3_reward
jellywibble-gojosatorushort-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jellywibble-gojosatorushort-v3_reward/config.json
jellywibble-gojosatorushort-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jellywibble-gojosatorushort-v3_reward/special_tokens_map.json
jellywibble-gojosatorushort-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jellywibble-gojosatorushort-v3_reward/tokenizer_config.json
jellywibble-gojosatorushort-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-gojosatorushort-v3_reward/merges.txt
jellywibble-gojosatorushort-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-gojosatorushort-v3_reward/vocab.json
jellywibble-gojosatorushort-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-gojosatorushort-v3_reward/tokenizer.json
jellywibble-gojosatorushort-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jellywibble-gojosatorushort-v3_reward/reward.tensors
Job jellywibble-gojosatorushort-v3-mkmlizer completed after 135.63s with status: succeeded
Stopping job with name jellywibble-gojosatorushort-v3-mkmlizer
Pipeline stage MKMLizer completed in 136.16s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-gojosatorushort-v3
Waiting for inference service jellywibble-gojosatorushort-v3 to be ready
Failed to get response for submission chaiml-elo-run-3-cp7000_v6: ('http://chaiml-elo-run-3-cp7000-v6-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:33224->127.0.0.1:8080: read: connection reset by peer\n')
Inference service jellywibble-gojosatorushort-v3 ready after 221.5256929397583s
Pipeline stage ISVCDeployer completed in 222.43s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7216084003448486s
Received healthy response to inference request in 1.832916259765625s
Received healthy response to inference request in 1.8765757083892822s
Received healthy response to inference request in 1.7336366176605225s
Received healthy response to inference request in 1.7566065788269043s
5 requests
0 failed requests
5th percentile: 1.7382306098937987
10th percentile: 1.7428246021270752
20th percentile: 1.752012586593628
30th percentile: 1.7718685150146485
40th percentile: 1.8023923873901366
50th percentile: 1.832916259765625
60th percentile: 1.850380039215088
70th percentile: 1.8678438186645507
80th percentile: 2.0455822467803957
90th percentile: 2.383595323562622
95th percentile: 2.552601861953735
99th percentile: 2.6878070926666258
mean time: 1.9842687129974366
Pipeline stage StressChecker completed in 10.76s
jellywibble-gojosatorushort_v3 status is now deployed due to DeploymentManager action
jellywibble-gojosatorushort_v3 status is now inactive due to auto deactivation removed underperforming models
jellywibble-gojosatorushort_v3 status is now torndown due to DeploymentManager action