developer_uid: shiroe40
submission_id: cycy233-l3i-ss-v0-c2_v1
model_name: auto
model_group: cycy233/L3i-ss-v0-c2
status: torndown
timestamp: 2024-08-15T01:00:00+00:00
num_battles: 10419
num_wins: 4750
celo_rating: 1188.65
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3i-ss-v0-c2
model_architecture: LlamaForCausalLM
reward_repo: Jellywibble/gpt2_xl_pairwise_89m_step_347634
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: auto
is_internal_developer: False
language_model: cycy233/L3i-ss-v0-c2
model_size: 8B
ranking_group: single
us_pacific_date: 2024-08-14
win_ratio: 0.45589787887513195
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
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'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3i-ss-v0-c2-v1-mkmlizer
Waiting for job on cycy233-l3i-ss-v0-c2-v1-mkmlizer to finish
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ║ _____ __ __ ║
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ║ /___/ ║
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ║ ║
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ║ Version: 0.9.9 ║
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ║ ║
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ║ belonging to: ║
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ║ ║
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ║ ║
cycy233-l3i-ss-v0-c2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3i-ss-v0-c2-v1-mkmlizer: Downloaded to shared memory in 39.900s
cycy233-l3i-ss-v0-c2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpe_cufbx4, device:0
cycy233-l3i-ss-v0-c2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3i-ss-v0-c2-v1-mkmlizer: quantized model in 26.527s
cycy233-l3i-ss-v0-c2-v1-mkmlizer: Processed model cycy233/L3i-ss-v0-c2 in 66.427s
cycy233-l3i-ss-v0-c2-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3i-ss-v0-c2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3i-ss-v0-c2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3i-ss-v0-c2-v1
cycy233-l3i-ss-v0-c2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3i-ss-v0-c2-v1/config.json
cycy233-l3i-ss-v0-c2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3i-ss-v0-c2-v1/special_tokens_map.json
cycy233-l3i-ss-v0-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3i-ss-v0-c2-v1/tokenizer_config.json
cycy233-l3i-ss-v0-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3i-ss-v0-c2-v1/tokenizer.json
cycy233-l3i-ss-v0-c2-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3i-ss-v0-c2-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%|▏ | 4/291 [00:00<00:07, 36.05it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:04, 57.55it/s] Loading 0: 8%|▊ | 22/291 [00:00<00:04, 65.31it/s] Loading 0: 11%|█ | 31/291 [00:00<00:03, 68.56it/s] Loading 0: 14%|█▎ | 40/291 [00:00<00:03, 69.54it/s] Loading 0: 17%|█▋ | 49/291 [00:00<00:03, 71.88it/s] Loading 0: 20%|█▉ | 58/291 [00:00<00:03, 75.56it/s] Loading 0: 23%|██▎ | 67/291 [00:00<00:02, 77.23it/s] Loading 0: 26%|██▌ | 76/291 [00:01<00:02, 77.08it/s] Loading 0: 29%|██▉ | 84/291 [00:02<00:10, 19.71it/s] Loading 0: 31%|███ | 90/291 [00:02<00:08, 22.99it/s] Loading 0: 33%|███▎ | 97/291 [00:02<00:06, 28.32it/s] Loading 0: 36%|███▋ | 106/291 [00:02<00:05, 36.76it/s] Loading 0: 40%|███▉ | 115/291 [00:02<00:04, 43.81it/s] Loading 0: 43%|████▎ | 124/291 [00:02<00:03, 51.40it/s] Loading 0: 46%|████▌ | 133/291 [00:02<00:02, 57.89it/s] Loading 0: 49%|████▉ | 142/291 [00:03<00:02, 61.04it/s] Loading 0: 52%|█████▏ | 151/291 [00:03<00:02, 66.91it/s] Loading 0: 55%|█████▍ | 160/291 [00:03<00:01, 71.47it/s] Loading 0: 58%|█████▊ | 169/291 [00:03<00:01, 74.37it/s] Loading 0: 61%|██████ | 178/291 [00:03<00:01, 76.39it/s] Loading 0: 64%|██████▍ | 187/291 [00:04<00:04, 21.07it/s] Loading 0: 67%|██████▋ | 196/291 [00:04<00:03, 26.85it/s] Loading 0: 70%|███████ | 205/291 [00:04<00:02, 33.16it/s] Loading 0: 74%|███████▎ | 214/291 [00:04<00:01, 40.54it/s] Loading 0: 77%|███████▋ | 223/291 [00:05<00:01, 47.99it/s] Loading 0: 80%|███████▉ | 232/291 [00:05<00:01, 54.79it/s] Loading 0: 83%|████████▎ | 241/291 [00:05<00:00, 60.16it/s] Loading 0: 86%|████████▌ | 250/291 [00:05<00:00, 65.94it/s] Loading 0: 89%|████████▉ | 259/291 [00:05<00:00, 70.83it/s] Loading 0: 92%|█████████▏| 268/291 [00:05<00:00, 73.68it/s] Loading 0: 95%|█████████▌| 277/291 [00:05<00:00, 73.86it/s] Loading 0: 98%|█████████▊| 286/291 [00:05<00:00, 72.25it/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.
cycy233-l3i-ss-v0-c2-v1-mkmlizer: warnings.warn(
cycy233-l3i-ss-v0-c2-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.
cycy233-l3i-ss-v0-c2-v1-mkmlizer: warnings.warn(
cycy233-l3i-ss-v0-c2-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.
cycy233-l3i-ss-v0-c2-v1-mkmlizer: warnings.warn(
cycy233-l3i-ss-v0-c2-v1-mkmlizer: Saving duration: 1.433s
cycy233-l3i-ss-v0-c2-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.707s
cycy233-l3i-ss-v0-c2-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3i-ss-v0-c2-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3i-ss-v0-c2-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3i-ss-v0-c2-v1_reward
cycy233-l3i-ss-v0-c2-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3i-ss-v0-c2-v1_reward/config.json
cycy233-l3i-ss-v0-c2-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3i-ss-v0-c2-v1_reward/special_tokens_map.json
cycy233-l3i-ss-v0-c2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3i-ss-v0-c2-v1_reward/tokenizer_config.json
cycy233-l3i-ss-v0-c2-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3i-ss-v0-c2-v1_reward/merges.txt
cycy233-l3i-ss-v0-c2-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3i-ss-v0-c2-v1_reward/vocab.json
cycy233-l3i-ss-v0-c2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3i-ss-v0-c2-v1_reward/tokenizer.json
cycy233-l3i-ss-v0-c2-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3i-ss-v0-c2-v1_reward/reward.tensors
Job cycy233-l3i-ss-v0-c2-v1-mkmlizer completed after 117.6s with status: succeeded
Stopping job with name cycy233-l3i-ss-v0-c2-v1-mkmlizer
Pipeline stage MKMLizer completed in 118.49s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3i-ss-v0-c2-v1
Waiting for inference service cycy233-l3i-ss-v0-c2-v1 to be ready
Failed to get response for submission zonemercy-acute-nemo-v1-_4488_v1: ('http://zonemercy-acute-nemo-v1-4488-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
Inference service cycy233-l3i-ss-v0-c2-v1 ready after 222.18702459335327s
Pipeline stage ISVCDeployer completed in 223.05s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.308086395263672s
Received healthy response to inference request in 1.1681559085845947s
Received healthy response to inference request in 1.4221632480621338s
Received healthy response to inference request in 1.430605411529541s
Received healthy response to inference request in 1.4768378734588623s
5 requests
0 failed requests
5th percentile: 1.2189573764801025
10th percentile: 1.2697588443756103
20th percentile: 1.371361780166626
30th percentile: 1.4238516807556152
40th percentile: 1.4272285461425782
50th percentile: 1.430605411529541
60th percentile: 1.4490983963012696
70th percentile: 1.4675913810729981
80th percentile: 1.6430875778198244
90th percentile: 1.9755869865417481
95th percentile: 2.14183669090271
99th percentile: 2.2748364543914796
mean time: 1.5611697673797607
Pipeline stage StressChecker completed in 8.60s
cycy233-l3i-ss-v0-c2_v1 status is now deployed due to DeploymentManager action
cycy233-l3i-ss-v0-c2_v1 status is now inactive due to auto deactivation removed underperforming models
cycy233-l3i-ss-v0-c2_v1 status is now torndown due to DeploymentManager action