cycy233-l3-ss-e-v3-c3

developer_uid: shiroe40

submission_id: cycy233-l3-ss-e-v3-c3_v1

model_name: auto

model_group: cycy233/L3-ss-e-v3-c3

status: torndown

timestamp: 2024-08-14T07:27:59+00:00

num_battles: 11375

num_wins: 6306

celo_rating: 1266.42

family_friendly_score: 0.0

submission_type: basic

model_repo: cycy233/L3-ss-e-v3-c3

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/L3-ss-e-v3-c3

model_size: 8B

ranking_group: single

us_pacific_date: 2024-08-14

win_ratio: 0.5543736263736264

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-l3-ss-e-v3-c3-v1-mkmlizer
Waiting for job on cycy233-l3-ss-e-v3-c3-v1-mkmlizer to finish
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ║  Version: 0.9.9                                                     ║
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: Downloaded to shared memory in 28.151s
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpbfi23c8i, device:0
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: quantized model in 27.147s
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: Processed model cycy233/L3-ss-e-v3-c3 in 55.298s
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ss-e-v3-c3-v1
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ss-e-v3-c3-v1/tokenizer.json
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-ss-e-v3-c3-v1/flywheel_model.0.safetensors
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:08, 33.57it/s]
Loading 0:   4%|▍         | 13/291 [00:00<00:05, 52.01it/s]
Loading 0:   7%|▋         | 19/291 [00:00<00:06, 42.37it/s]
Loading 0:   8%|▊         | 24/291 [00:00<00:06, 41.71it/s]
Loading 0:  11%|█         | 31/291 [00:00<00:05, 47.76it/s]
Loading 0:  12%|█▏        | 36/291 [00:00<00:05, 48.23it/s]
Loading 0:  14%|█▍        | 41/291 [00:00<00:06, 38.47it/s]
Loading 0:  17%|█▋        | 49/291 [00:01<00:05, 46.68it/s]
Loading 0:  19%|█▉        | 55/291 [00:01<00:05, 42.49it/s]
Loading 0:  21%|██        | 60/291 [00:01<00:05, 42.01it/s]
Loading 0:  23%|██▎       | 66/291 [00:01<00:04, 46.02it/s]
Loading 0:  24%|██▍       | 71/291 [00:01<00:04, 45.61it/s]
Loading 0:  26%|██▌       | 76/291 [00:01<00:04, 44.82it/s]
Loading 0:  28%|██▊       | 81/291 [00:01<00:04, 45.61it/s]
Loading 0:  30%|██▉       | 86/291 [00:02<00:08, 25.11it/s]
Loading 0:  32%|███▏      | 93/291 [00:02<00:06, 32.57it/s]
Loading 0:  34%|███▎      | 98/291 [00:02<00:05, 35.23it/s]
Loading 0:  35%|███▌      | 103/291 [00:02<00:05, 37.23it/s]
Loading 0:  37%|███▋      | 108/291 [00:02<00:04, 39.84it/s]
Loading 0:  39%|███▉      | 113/291 [00:02<00:05, 33.76it/s]
Loading 0:  41%|████      | 120/291 [00:02<00:04, 41.18it/s]
Loading 0:  43%|████▎     | 125/291 [00:03<00:03, 42.18it/s]
Loading 0:  45%|████▍     | 130/291 [00:03<00:03, 41.54it/s]
Loading 0:  46%|████▋     | 135/291 [00:03<00:03, 43.27it/s]
Loading 0:  48%|████▊     | 140/291 [00:03<00:04, 35.94it/s]
Loading 0:  51%|█████     | 147/291 [00:03<00:03, 42.97it/s]
Loading 0:  52%|█████▏    | 152/291 [00:03<00:03, 42.55it/s]
Loading 0:  54%|█████▍    | 157/291 [00:03<00:03, 43.22it/s]
Loading 0:  56%|█████▌    | 162/291 [00:03<00:02, 43.36it/s]
Loading 0:  57%|█████▋    | 167/291 [00:04<00:03, 35.76it/s]
Loading 0:  59%|█████▉    | 173/291 [00:04<00:02, 40.31it/s]
Loading 0:  62%|██████▏   | 179/291 [00:04<00:02, 43.96it/s]
Loading 0:  63%|██████▎   | 184/291 [00:04<00:02, 43.99it/s]
Loading 0:  65%|██████▍   | 189/291 [00:04<00:03, 26.63it/s]
Loading 0:  67%|██████▋   | 194/291 [00:05<00:03, 29.55it/s]
Loading 0:  69%|██████▉   | 201/291 [00:05<00:02, 36.43it/s]
Loading 0:  71%|███████   | 206/291 [00:05<00:02, 37.94it/s]
Loading 0:  73%|███████▎  | 211/291 [00:05<00:02, 39.45it/s]
Loading 0:  74%|███████▍  | 216/291 [00:05<00:01, 41.47it/s]
Loading 0:  76%|███████▌  | 221/291 [00:05<00:01, 35.33it/s]
Loading 0:  78%|███████▊  | 228/291 [00:05<00:01, 42.24it/s]
Loading 0:  80%|████████  | 233/291 [00:05<00:01, 42.43it/s]
Loading 0:  82%|████████▏ | 238/291 [00:06<00:01, 41.37it/s]
Loading 0:  84%|████████▍ | 244/291 [00:06<00:01, 39.57it/s]
Loading 0:  86%|████████▌ | 249/291 [00:06<00:01, 39.97it/s]
Loading 0:  88%|████████▊ | 255/291 [00:06<00:00, 44.34it/s]
Loading 0:  89%|████████▉ | 260/291 [00:06<00:00, 43.97it/s]
Loading 0:  91%|█████████ | 265/291 [00:06<00:00, 43.93it/s]
Loading 0:  93%|█████████▎| 270/291 [00:06<00:00, 44.38it/s]
Loading 0:  95%|█████████▍| 275/291 [00:06<00:00, 36.38it/s]
Loading 0:  97%|█████████▋| 281/291 [00:07<00:00, 41.39it/s]
Loading 0:  98%|█████████▊| 286/291 [00:07<00:00, 37.54it/s]
Loading 0: 100%|██████████| 291/291 [00:12<00:00,  3.03it/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-l3-ss-e-v3-c3-v1-mkmlizer:   warnings.warn(
cycy233-l3-ss-e-v3-c3-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-l3-ss-e-v3-c3-v1-mkmlizer:   warnings.warn(
cycy233-l3-ss-e-v3-c3-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-l3-ss-e-v3-c3-v1-mkmlizer:   warnings.warn(
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: Saving duration: 1.438s
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 9.652s
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ss-e-v3-c3-v1_reward
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ss-e-v3-c3-v1_reward/config.json
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ss-e-v3-c3-v1_reward/special_tokens_map.json
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ss-e-v3-c3-v1_reward/tokenizer_config.json
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ss-e-v3-c3-v1_reward/merges.txt
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ss-e-v3-c3-v1_reward/vocab.json
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ss-e-v3-c3-v1_reward/tokenizer.json
cycy233-l3-ss-e-v3-c3-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-ss-e-v3-c3-v1_reward/reward.tensors
Job cycy233-l3-ss-e-v3-c3-v1-mkmlizer completed after 102.42s with status: succeeded
Stopping job with name cycy233-l3-ss-e-v3-c3-v1-mkmlizer
Pipeline stage MKMLizer completed in 104.04s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ss-e-v3-c3-v1
Waiting for inference service cycy233-l3-ss-e-v3-c3-v1 to be ready
Failed to get response for submission cycy233-l3-ss-e-v2-c1_v3: ('http://cycy233-l3-ss-e-v2-c1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:53876->127.0.0.1:8080: read: connection reset by peer\n')
Inference service cycy233-l3-ss-e-v3-c3-v1 ready after 301.14718556404114s
Pipeline stage ISVCDeployer completed in 303.70s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4008636474609375s
Received healthy response to inference request in 1.6213531494140625s
Received healthy response to inference request in 1.539865493774414s
Received healthy response to inference request in 1.5346932411193848s
Received healthy response to inference request in 1.5751142501831055s
5 requests
0 failed requests
5th percentile: 1.5357276916503906
10th percentile: 1.5367621421813964
20th percentile: 1.5388310432434082
30th percentile: 1.5469152450561523
40th percentile: 1.561014747619629
50th percentile: 1.5751142501831055
60th percentile: 1.5936098098754883
70th percentile: 1.612105369567871
80th percentile: 1.7772552490234377
90th percentile: 2.0890594482421876
95th percentile: 2.2449615478515623
99th percentile: 2.3696832275390625
mean time: 1.734377956390381
Pipeline stage StressChecker completed in 9.35s
cycy233-l3-ss-e-v3-c3_v1 status is now deployed due to DeploymentManager action
cycy233-l3-ss-e-v3-c3_v1 status is now inactive due to auto deactivation removed underperforming models
cycy233-l3-ss-e-v3-c3_v1 status is now torndown due to DeploymentManager action