trace2333-fd-llama3-v1-f_9760

developer_uid: Trace2333

submission_id: trace2333-fd-llama3-v1-f_9760_v1

model_name: trace2333-fd-llama3-v1-f_9760_v1

model_group: Trace2333/fd_llama3_v1_f

status: torndown

timestamp: 2024-08-14T01:29:16+00:00

num_battles: 12250

num_wins: 5392

celo_rating: 1177.25

family_friendly_score: 0.0

submission_type: basic

model_repo: Trace2333/fd_llama3_v1_fdall_r32a16_axo

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: trace2333-fd-llama3-v1-f_9760_v1

is_internal_developer: False

language_model: Trace2333/fd_llama3_v1_fdall_r32a16_axo

model_size: 8B

ranking_group: single

us_pacific_date: 2024-08-13

win_ratio: 0.44016326530612243

generation_params: {'temperature': 1.15, 'top_p': 1.0, 'min_p': 0.06, 'top_k': 250, 'presence_penalty': 0.0, 'frequency_penalty': 0.1, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}

formatter: {'memory_template': "<|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\nYou: {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 trace2333-fd-llama3-v1-f-9760-v1-mkmlizer
Waiting for job on trace2333-fd-llama3-v1-f-9760-v1-mkmlizer to finish
Stopping job with name trace2333-fd-llama3-v1-f-9760-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name trace2333-fd-llama3-v1-f-9760-v1-mkmlizer
Waiting for job on trace2333-fd-llama3-v1-f-9760-v1-mkmlizer to finish
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ║     _____            __           __                                ║
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ║       /___/                                                         ║
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ║  Version: 0.9.9                                                     ║
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ║  belonging to:                                                      ║
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: Downloaded to shared memory in 58.116s
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpd0tp5ewh, device:0
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: quantized model in 29.428s
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: Processed model Trace2333/fd_llama3_v1_fdall_r32a16_axo in 87.544s
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-9760-v1
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-9760-v1/config.json
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-9760-v1/special_tokens_map.json
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-9760-v1/tokenizer_config.json
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-9760-v1/tokenizer.json
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-9760-v1/flywheel_model.0.safetensors
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:11, 25.02it/s]
Loading 0:   4%|▍         | 12/291 [00:00<00:07, 35.16it/s]
Loading 0:   5%|▌         | 16/291 [00:00<00:08, 32.49it/s]
Loading 0:   7%|▋         | 21/291 [00:00<00:07, 36.10it/s]
Loading 0:   9%|▊         | 25/291 [00:00<00:07, 33.91it/s]
Loading 0:  11%|█         | 31/291 [00:00<00:06, 40.68it/s]
Loading 0:  12%|█▏        | 36/291 [00:01<00:10, 24.66it/s]
Loading 0:  14%|█▍        | 41/291 [00:01<00:09, 26.15it/s]
Loading 0:  16%|█▋        | 48/291 [00:01<00:07, 33.08it/s]
Loading 0:  18%|█▊        | 52/291 [00:01<00:07, 32.35it/s]
Loading 0:  20%|█▉        | 57/291 [00:01<00:06, 34.99it/s]
Loading 0:  21%|██        | 61/291 [00:01<00:06, 33.29it/s]
Loading 0:  23%|██▎       | 66/291 [00:02<00:06, 35.05it/s]
Loading 0:  24%|██▍       | 70/291 [00:02<00:06, 32.96it/s]
Loading 0:  25%|██▌       | 74/291 [00:02<00:06, 33.15it/s]
Loading 0:  27%|██▋       | 78/291 [00:02<00:06, 33.05it/s]
Loading 0:  28%|██▊       | 82/291 [00:02<00:08, 23.78it/s]
Loading 0:  29%|██▉       | 85/291 [00:02<00:08, 24.41it/s]
Loading 0:  31%|███       | 90/291 [00:02<00:07, 28.47it/s]
Loading 0:  32%|███▏      | 94/291 [00:03<00:06, 28.57it/s]
Loading 0:  34%|███▍      | 99/291 [00:03<00:06, 31.73it/s]
Loading 0:  35%|███▌      | 103/291 [00:03<00:06, 31.01it/s]
Loading 0:  37%|███▋      | 108/291 [00:03<00:05, 34.07it/s]
Loading 0:  38%|███▊      | 112/291 [00:03<00:05, 32.73it/s]
Loading 0:  40%|███▉      | 116/291 [00:03<00:05, 32.33it/s]
Loading 0:  42%|████▏     | 122/291 [00:03<00:04, 36.71it/s]
Loading 0:  44%|████▎     | 127/291 [00:04<00:04, 33.98it/s]
Loading 0:  46%|████▌     | 133/291 [00:04<00:05, 29.43it/s]
Loading 0:  47%|████▋     | 137/291 [00:04<00:05, 29.69it/s]
Loading 0:  48%|████▊     | 141/291 [00:04<00:05, 27.42it/s]
Loading 0:  51%|█████     | 147/291 [00:04<00:04, 32.14it/s]
Loading 0:  52%|█████▏    | 151/291 [00:04<00:04, 31.30it/s]
Loading 0:  54%|█████▎    | 156/291 [00:04<00:04, 33.60it/s]
Loading 0:  55%|█████▍    | 160/291 [00:05<00:04, 32.00it/s]
Loading 0:  57%|█████▋    | 165/291 [00:05<00:03, 34.00it/s]
Loading 0:  58%|█████▊    | 169/291 [00:05<00:03, 32.41it/s]
Loading 0:  60%|█████▉    | 174/291 [00:05<00:03, 34.58it/s]
Loading 0:  61%|██████    | 178/291 [00:05<00:03, 33.01it/s]
Loading 0:  64%|██████▎   | 185/291 [00:05<00:02, 37.13it/s]
Loading 0:  65%|██████▍   | 189/291 [00:06<00:04, 24.39it/s]
Loading 0:  67%|██████▋   | 194/291 [00:06<00:03, 25.31it/s]
Loading 0:  69%|██████▉   | 201/291 [00:06<00:02, 31.37it/s]
Loading 0:  70%|███████   | 205/291 [00:06<00:02, 30.29it/s]
Loading 0:  72%|███████▏  | 210/291 [00:06<00:02, 32.31it/s]
Loading 0:  74%|███████▎  | 214/291 [00:06<00:02, 30.40it/s]
Loading 0:  75%|███████▌  | 219/291 [00:06<00:02, 32.68it/s]
Loading 0:  77%|███████▋  | 223/291 [00:07<00:02, 31.15it/s]
Loading 0:  78%|███████▊  | 227/291 [00:07<00:02, 30.59it/s]
Loading 0:  79%|███████▉  | 231/291 [00:07<00:01, 30.44it/s]
Loading 0:  81%|████████  | 235/291 [00:07<00:02, 23.58it/s]
Loading 0:  82%|████████▏ | 239/291 [00:07<00:02, 23.48it/s]
Loading 0:  85%|████████▍ | 246/291 [00:07<00:01, 30.66it/s]
Loading 0:  86%|████████▌ | 250/291 [00:08<00:01, 30.07it/s]
Loading 0:  88%|████████▊ | 255/291 [00:08<00:01, 32.50it/s]
Loading 0:  89%|████████▉ | 259/291 [00:08<00:01, 31.77it/s]
Loading 0:  91%|█████████ | 264/291 [00:08<00:00, 34.27it/s]
Loading 0:  92%|█████████▏| 268/291 [00:08<00:00, 32.48it/s]
Loading 0:  94%|█████████▍| 273/291 [00:08<00:00, 34.96it/s]
Loading 0:  95%|█████████▌| 277/291 [00:08<00:00, 33.01it/s]
Loading 0:  97%|█████████▋| 281/291 [00:09<00:00, 32.56it/s]
Loading 0:  98%|█████████▊| 286/291 [00:14<00:01,  2.57it/s]
Loading 0:  99%|█████████▉| 289/291 [00:14<00:00,  3.18it/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.
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-f-9760-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.
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-f-9760-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.
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: Saving duration: 1.389s
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.152s
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: creating bucket guanaco-reward-models
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-9760-v1_reward
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-9760-v1_reward/config.json
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-9760-v1_reward/special_tokens_map.json
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-9760-v1_reward/tokenizer_config.json
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-9760-v1_reward/merges.txt
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-9760-v1_reward/vocab.json
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-9760-v1_reward/tokenizer.json
trace2333-fd-llama3-v1-f-9760-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-9760-v1_reward/reward.tensors
Job trace2333-fd-llama3-v1-f-9760-v1-mkmlizer completed after 134.36s with status: succeeded
Stopping job with name trace2333-fd-llama3-v1-f-9760-v1-mkmlizer
Pipeline stage MKMLizer completed in 138.01s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service trace2333-fd-llama3-v1-f-9760-v1
Waiting for inference service trace2333-fd-llama3-v1-f-9760-v1 to be ready
Failed to get response for submission zonemercy-burly-blue-cp2500_v5: ('http://zonemercy-burly-blue-cp2500-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Inference service trace2333-fd-llama3-v1-f-9760-v1 ready after 280.0736744403839s
Pipeline stage ISVCDeployer completed in 282.27s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2244701385498047s
Received healthy response to inference request in 1.492450475692749s
Received healthy response to inference request in 1.4126701354980469s
Received healthy response to inference request in 1.446521520614624s
Received healthy response to inference request in 1.3994338512420654s
5 requests
0 failed requests
5th percentile: 1.4020811080932618
10th percentile: 1.404728364944458
20th percentile: 1.4100228786468505
30th percentile: 1.4194404125213622
40th percentile: 1.4329809665679931
50th percentile: 1.446521520614624
60th percentile: 1.464893102645874
70th percentile: 1.483264684677124
80th percentile: 1.6388544082641603
90th percentile: 1.9316622734069826
95th percentile: 2.078066205978393
99th percentile: 2.1951893520355226
mean time: 1.595109224319458
Pipeline stage StressChecker completed in 8.74s
trace2333-fd-llama3-v1-f_9760_v1 status is now deployed due to DeploymentManager action
trace2333-fd-llama3-v1-f_9760_v1 status is now inactive due to auto deactivation removed underperforming models
trace2333-fd-llama3-v1-f_9760_v1 status is now torndown due to DeploymentManager action