submission_id: shuttleai-shuttle-2-5-mini_v4
developer_uid: xtristan
alignment_samples: 11915
alignment_score: -1.3271453089628682
best_of: 4
celo_rating: 1199.91
display_name: shuttleai-shuttle-2-5-mini_v4
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}
generation_params: {'temperature': 0.7, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 42, 'presence_penalty': 0.1, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64, 'reward_max_token_input': 128}
is_internal_developer: False
language_model: shuttleai/shuttle-2.5-mini
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: shuttleai/shuttle-2.5-mi
model_name: shuttleai-shuttle-2-5-mini_v4
model_num_parameters: 12772090880.0
model_repo: shuttleai/shuttle-2.5-mini
model_size: 13B
num_battles: 11915
num_wins: 5641
propriety_score: 0.724903474903475
propriety_total_count: 1036.0
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: 2024-08-11T22:57:55+00:00
us_pacific_date: 2024-08-11
win_ratio: 0.47343684431389005
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name shuttleai-shuttle-2-5-mini-v4-mkmlizer
Waiting for job on shuttleai-shuttle-2-5-mini-v4-mkmlizer to finish
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ║ _____ __ __ ║
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ║ /___/ ║
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ║ ║
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ║ Version: 0.9.9 ║
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ║ https://mk1.ai ║
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ║ ║
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ║ The license key for the current software has been verified as ║
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ║ belonging to: ║
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ║ ║
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ║ Chai Research Corp. ║
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ║ ║
shuttleai-shuttle-2-5-mini-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
shuttleai-shuttle-2-5-mini-v4-mkmlizer: Downloaded to shared memory in 39.810s
shuttleai-shuttle-2-5-mini-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpb4quxgzn, device:0
shuttleai-shuttle-2-5-mini-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
shuttleai-shuttle-2-5-mini-v4-mkmlizer: quantized model in 36.478s
shuttleai-shuttle-2-5-mini-v4-mkmlizer: Processed model shuttleai/shuttle-2.5-mini in 76.288s
shuttleai-shuttle-2-5-mini-v4-mkmlizer: creating bucket guanaco-mkml-models
shuttleai-shuttle-2-5-mini-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
shuttleai-shuttle-2-5-mini-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/shuttleai-shuttle-2-5-mini-v4
shuttleai-shuttle-2-5-mini-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/shuttleai-shuttle-2-5-mini-v4/config.json
shuttleai-shuttle-2-5-mini-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/shuttleai-shuttle-2-5-mini-v4/special_tokens_map.json
shuttleai-shuttle-2-5-mini-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/shuttleai-shuttle-2-5-mini-v4/tokenizer_config.json
shuttleai-shuttle-2-5-mini-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/shuttleai-shuttle-2-5-mini-v4/tokenizer.json
shuttleai-shuttle-2-5-mini-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/shuttleai-shuttle-2-5-mini-v4/flywheel_model.0.safetensors
shuttleai-shuttle-2-5-mini-v4-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
shuttleai-shuttle-2-5-mini-v4-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:10, 32.62it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:06, 50.93it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:07, 44.15it/s] Loading 0: 7%|▋ | 24/363 [00:00<00:08, 42.20it/s] Loading 0: 9%|▊ | 31/363 [00:00<00:06, 47.64it/s] Loading 0: 10%|▉ | 36/363 [00:00<00:06, 48.28it/s] Loading 0: 11%|█▏ | 41/363 [00:00<00:08, 38.50it/s] Loading 0: 13%|█▎ | 49/363 [00:01<00:06, 46.42it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:07, 42.96it/s] Loading 0: 17%|█▋ | 60/363 [00:01<00:06, 44.52it/s] Loading 0: 18%|█▊ | 65/363 [00:01<00:09, 29.95it/s] Loading 0: 20%|█▉ | 72/363 [00:01<00:07, 36.52it/s] Loading 0: 21%|██ | 77/363 [00:01<00:07, 38.36it/s] Loading 0: 23%|██▎ | 82/363 [00:02<00:08, 33.96it/s] Loading 0: 25%|██▍ | 89/363 [00:02<00:06, 40.97it/s] Loading 0: 26%|██▌ | 94/363 [00:02<00:06, 40.91it/s] Loading 0: 27%|██▋ | 99/363 [00:02<00:06, 41.45it/s] Loading 0: 29%|██▊ | 104/363 [00:02<00:06, 42.92it/s] Loading 0: 30%|███ | 110/363 [00:02<00:06, 40.51it/s] Loading 0: 32%|███▏ | 115/363 [00:02<00:06, 40.70it/s] Loading 0: 33%|███▎ | 120/363 [00:02<00:06, 39.18it/s] Loading 0: 34%|███▍ | 125/363 [00:03<00:05, 41.38it/s] Loading 0: 36%|███▌ | 130/363 [00:03<00:05, 41.53it/s] Loading 0: 37%|███▋ | 135/363 [00:03<00:05, 41.27it/s] Loading 0: 39%|███▊ | 140/363 [00:03<00:05, 42.00it/s] Loading 0: 40%|███▉ | 145/363 [00:03<00:08, 26.73it/s] Loading 0: 41%|████ | 149/363 [00:03<00:07, 27.75it/s] Loading 0: 43%|████▎ | 156/363 [00:04<00:05, 35.76it/s] Loading 0: 44%|████▍ | 161/363 [00:04<00:05, 37.47it/s] Loading 0: 46%|████▌ | 166/363 [00:04<00:05, 38.86it/s] Loading 0: 47%|████▋ | 171/363 [00:04<00:04, 41.07it/s] Loading 0: 48%|████▊ | 176/363 [00:04<00:05, 34.48it/s] Loading 0: 50%|█████ | 183/363 [00:04<00:04, 40.79it/s] Loading 0: 52%|█████▏ | 188/363 [00:04<00:04, 40.75it/s] Loading 0: 53%|█████▎ | 193/363 [00:04<00:04, 41.10it/s] Loading 0: 55%|█████▍ | 198/363 [00:05<00:03, 42.78it/s] Loading 0: 56%|█████▌ | 203/363 [00:05<00:04, 35.88it/s] Loading 0: 58%|█████▊ | 210/363 [00:05<00:03, 42.66it/s] Loading 0: 59%|█████▉ | 215/363 [00:05<00:03, 42.13it/s] Loading 0: 61%|██████ | 220/363 [00:05<00:03, 43.41it/s] Loading 0: 62%|██████▏ | 225/363 [00:05<00:05, 27.25it/s] Loading 0: 63%|██████▎ | 230/363 [00:06<00:04, 29.64it/s] Loading 0: 65%|██████▌ | 237/363 [00:06<00:03, 37.32it/s] Loading 0: 67%|██████▋ | 242/363 [00:06<00:03, 38.43it/s] Loading 0: 68%|██████▊ | 247/363 [00:06<00:02, 39.50it/s] Loading 0: 69%|██████▉ | 252/363 [00:06<00:02, 41.63it/s] Loading 0: 71%|███████ | 257/363 [00:06<00:03, 34.76it/s] Loading 0: 73%|███████▎ | 264/363 [00:06<00:02, 41.84it/s] Loading 0: 74%|███████▍ | 269/363 [00:06<00:02, 40.60it/s] Loading 0: 75%|███████▌ | 274/363 [00:07<00:02, 40.99it/s] Loading 0: 77%|███████▋ | 279/363 [00:07<00:01, 42.24it/s] Loading 0: 78%|███████▊ | 284/363 [00:07<00:02, 35.14it/s] Loading 0: 80%|████████ | 291/363 [00:07<00:01, 42.23it/s] Loading 0: 82%|████████▏ | 296/363 [00:07<00:01, 41.98it/s] Loading 0: 83%|████████▎ | 301/363 [00:07<00:01, 43.38it/s] Loading 0: 84%|████████▍ | 306/363 [00:14<00:23, 2.47it/s] Loading 0: 85%|████████▌ | 310/363 [00:14<00:16, 3.16it/s] Loading 0: 86%|████████▌ | 313/363 [00:14<00:12, 3.88it/s] Loading 0: 88%|████████▊ | 319/363 [00:14<00:07, 5.95it/s] Loading 0: 89%|████████▉ | 323/363 [00:14<00:05, 7.64it/s] Loading 0: 91%|█████████ | 329/363 [00:15<00:03, 11.00it/s] Loading 0: 92%|█████████▏| 334/363 [00:15<00:02, 14.30it/s] Loading 0: 93%|█████████▎| 339/363 [00:15<00:01, 16.54it/s] Loading 0: 95%|█████████▌| 346/363 [00:15<00:00, 23.06it/s] Loading 0: 97%|█████████▋| 351/363 [00:15<00:00, 26.39it/s] Loading 0: 98%|█████████▊| 356/363 [00:15<00:00, 29.70it/s] Loading 0: 99%|█████████▉| 361/363 [00:15<00:00, 33.38it/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.
shuttleai-shuttle-2-5-mini-v4-mkmlizer: warnings.warn(
shuttleai-shuttle-2-5-mini-v4-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.
shuttleai-shuttle-2-5-mini-v4-mkmlizer: warnings.warn(
shuttleai-shuttle-2-5-mini-v4-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.
shuttleai-shuttle-2-5-mini-v4-mkmlizer: warnings.warn(
shuttleai-shuttle-2-5-mini-v4-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.72s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 3.92s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.19s/it]
shuttleai-shuttle-2-5-mini-v4-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.38it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.96it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.60it/s]
shuttleai-shuttle-2-5-mini-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
shuttleai-shuttle-2-5-mini-v4-mkmlizer: Saving duration: 1.349s
shuttleai-shuttle-2-5-mini-v4-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.211s
shuttleai-shuttle-2-5-mini-v4-mkmlizer: creating bucket guanaco-reward-models
shuttleai-shuttle-2-5-mini-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
shuttleai-shuttle-2-5-mini-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/shuttleai-shuttle-2-5-mini-v4_reward
shuttleai-shuttle-2-5-mini-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/shuttleai-shuttle-2-5-mini-v4_reward/config.json
shuttleai-shuttle-2-5-mini-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/shuttleai-shuttle-2-5-mini-v4_reward/special_tokens_map.json
shuttleai-shuttle-2-5-mini-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/shuttleai-shuttle-2-5-mini-v4_reward/tokenizer_config.json
shuttleai-shuttle-2-5-mini-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/shuttleai-shuttle-2-5-mini-v4_reward/merges.txt
shuttleai-shuttle-2-5-mini-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/shuttleai-shuttle-2-5-mini-v4_reward/vocab.json
shuttleai-shuttle-2-5-mini-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/shuttleai-shuttle-2-5-mini-v4_reward/tokenizer.json
shuttleai-shuttle-2-5-mini-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/shuttleai-shuttle-2-5-mini-v4_reward/reward.tensors
Job shuttleai-shuttle-2-5-mini-v4-mkmlizer completed after 126.55s with status: succeeded
Stopping job with name shuttleai-shuttle-2-5-mini-v4-mkmlizer
Pipeline stage MKMLizer completed in 127.54s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service shuttleai-shuttle-2-5-mini-v4
Waiting for inference service shuttleai-shuttle-2-5-mini-v4 to be ready
Failed to get response for submission blend_goner_2024-08-03: ('http://chaiml-elo-alignment-run-3-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:52626->127.0.0.1:8080: read: connection reset by peer\n')
Inference service shuttleai-shuttle-2-5-mini-v4 ready after 211.48148250579834s
Pipeline stage ISVCDeployer completed in 213.91s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3449912071228027s
Received healthy response to inference request in 1.4827892780303955s
Received healthy response to inference request in 1.5017890930175781s
Received healthy response to inference request in 1.3529512882232666s
Received healthy response to inference request in 1.4840631484985352s
5 requests
0 failed requests
5th percentile: 1.3789188861846924
10th percentile: 1.4048864841461182
20th percentile: 1.4568216800689697
30th percentile: 1.4830440521240233
40th percentile: 1.4835536003112793
50th percentile: 1.4840631484985352
60th percentile: 1.4911535263061524
70th percentile: 1.4982439041137696
80th percentile: 1.6704295158386233
90th percentile: 2.007710361480713
95th percentile: 2.1763507843017575
99th percentile: 2.311263122558594
mean time: 1.6333168029785157
Pipeline stage StressChecker completed in 9.05s
shuttleai-shuttle-2-5-mini_v4 status is now deployed due to DeploymentManager action
shuttleai-shuttle-2-5-mini_v4 status is now inactive due to auto deactivation removed underperforming models
shuttleai-shuttle-2-5-mini_v4 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics