trace2333-fd-llama3-v1-n16

developer_uid: Trace2333

submission_id: trace2333-fd-llama3-v1-n16_v1

model_name: trace2333-fd-llama3-v1-n16_v1

model_group: Trace2333/fd_llama3_v1_N

status: torndown

timestamp: 2024-08-01T14:35:40+00:00

num_battles: 17419

num_wins: 8674

celo_rating: 1204.28

family_friendly_score: 0.0

submission_type: basic

model_repo: Trace2333/fd_llama3_v1_N16

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-n16_v1

is_internal_developer: False

language_model: Trace2333/fd_llama3_v1_N16

model_size: 8B

ranking_group: single

us_pacific_date: 2024-08-01

win_ratio: 0.497961995522131

generation_params: {'temperature': 1.05, '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-n16-v1-mkmlizer
Waiting for job on trace2333-fd-llama3-v1-n16-v1-mkmlizer to finish
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ║     _____            __           __                                ║
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ║       /___/                                                         ║
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ║  Version: 0.9.7                                                     ║
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ║  belonging to:                                                      ║
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-n16-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-fd-llama3-v1-n16-v1-mkmlizer: Downloaded to shared memory in 60.407s
trace2333-fd-llama3-v1-n16-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_2gu421v, device:0
trace2333-fd-llama3-v1-n16-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-fd-llama3-v1-n16-v1-mkmlizer: quantized model in 29.373s
trace2333-fd-llama3-v1-n16-v1-mkmlizer: Processed model Trace2333/fd_llama3_v1_N16 in 89.781s
trace2333-fd-llama3-v1-n16-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-fd-llama3-v1-n16-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-fd-llama3-v1-n16-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-fd-llama3-v1-n16-v1
trace2333-fd-llama3-v1-n16-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-n16-v1/config.json
trace2333-fd-llama3-v1-n16-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-n16-v1/special_tokens_map.json
trace2333-fd-llama3-v1-n16-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-n16-v1/tokenizer_config.json
trace2333-fd-llama3-v1-n16-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-n16-v1/tokenizer.json
trace2333-fd-llama3-v1-n16-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-fd-llama3-v1-n16-v1/flywheel_model.0.safetensors
trace2333-fd-llama3-v1-n16-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
trace2333-fd-llama3-v1-n16-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:11, 25.25it/s]
Loading 0:   4%|▍         | 12/291 [00:00<00:08, 34.06it/s]
Loading 0:   5%|▌         | 16/291 [00:00<00:08, 31.76it/s]
Loading 0:   7%|▋         | 21/291 [00:00<00:07, 34.27it/s]
Loading 0:   9%|▊         | 25/291 [00:00<00:08, 32.19it/s]
Loading 0:  10%|█         | 30/291 [00:00<00:07, 36.45it/s]
Loading 0:  12%|█▏        | 34/291 [00:01<00:10, 24.00it/s]
Loading 0:  13%|█▎        | 37/291 [00:01<00:10, 23.61it/s]
Loading 0:  14%|█▍        | 41/291 [00:01<00:10, 23.29it/s]
Loading 0:  16%|█▋        | 48/291 [00:01<00:07, 30.98it/s]
Loading 0:  18%|█▊        | 52/291 [00:01<00:07, 30.56it/s]
Loading 0:  20%|█▉        | 57/291 [00:01<00:07, 32.76it/s]
Loading 0:  21%|██        | 61/291 [00:02<00:07, 31.79it/s]
Loading 0:  23%|██▎       | 66/291 [00:02<00:06, 34.12it/s]
Loading 0:  24%|██▍       | 70/291 [00:02<00:06, 32.38it/s]
Loading 0:  25%|██▌       | 74/291 [00:02<00:06, 31.76it/s]
Loading 0:  27%|██▋       | 78/291 [00:02<00:06, 31.90it/s]
Loading 0:  28%|██▊       | 82/291 [00:02<00:09, 22.21it/s]
Loading 0:  29%|██▉       | 85/291 [00:02<00:08, 22.96it/s]
Loading 0:  31%|███       | 90/291 [00:03<00:07, 27.11it/s]
Loading 0:  32%|███▏      | 94/291 [00:03<00:07, 27.48it/s]
Loading 0:  34%|███▍      | 99/291 [00:03<00:06, 31.16it/s]
Loading 0:  35%|███▌      | 103/291 [00:03<00:06, 31.05it/s]
Loading 0:  37%|███▋      | 108/291 [00:03<00:05, 33.66it/s]
Loading 0:  38%|███▊      | 112/291 [00:03<00:05, 32.66it/s]
Loading 0:  40%|███▉      | 116/291 [00:03<00:05, 32.96it/s]
Loading 0:  42%|████▏     | 122/291 [00:03<00:04, 37.32it/s]
Loading 0:  44%|████▎     | 127/291 [00:04<00:04, 35.30it/s]
Loading 0:  46%|████▌     | 133/291 [00:04<00:05, 30.41it/s]
Loading 0:  47%|████▋     | 137/291 [00:04<00:05, 30.47it/s]
Loading 0:  48%|████▊     | 141/291 [00:04<00:05, 28.37it/s]
Loading 0:  51%|█████     | 147/291 [00:04<00:04, 32.38it/s]
Loading 0:  52%|█████▏    | 151/291 [00:04<00:04, 31.68it/s]
Loading 0:  54%|█████▎    | 156/291 [00:05<00:03, 34.23it/s]
Loading 0:  55%|█████▍    | 160/291 [00:05<00:03, 32.89it/s]
Loading 0:  57%|█████▋    | 165/291 [00:05<00:03, 35.35it/s]
Loading 0:  58%|█████▊    | 169/291 [00:05<00:03, 33.29it/s]
Loading 0:  60%|█████▉    | 174/291 [00:05<00:03, 35.61it/s]
Loading 0:  61%|██████    | 178/291 [00:05<00:03, 33.55it/s]
Loading 0:  63%|██████▎   | 183/291 [00:05<00:02, 37.41it/s]
Loading 0:  64%|██████▍   | 187/291 [00:06<00:04, 25.60it/s]
Loading 0:  66%|██████▌   | 191/291 [00:06<00:03, 26.49it/s]
Loading 0:  67%|██████▋   | 195/291 [00:06<00:03, 25.28it/s]
Loading 0:  68%|██████▊   | 199/291 [00:06<00:03, 28.17it/s]
Loading 0:  70%|██████▉   | 203/291 [00:06<00:03, 26.48it/s]
Loading 0:  72%|███████▏  | 210/291 [00:06<00:02, 33.40it/s]
Loading 0:  74%|███████▎  | 214/291 [00:07<00:02, 32.12it/s]
Loading 0:  75%|███████▌  | 219/291 [00:07<00:02, 33.63it/s]
Loading 0:  77%|███████▋  | 223/291 [00:07<00:02, 32.34it/s]
Loading 0:  78%|███████▊  | 227/291 [00:07<00:01, 32.05it/s]
Loading 0:  79%|███████▉  | 231/291 [00:07<00:01, 32.11it/s]
Loading 0:  81%|████████  | 235/291 [00:07<00:02, 24.03it/s]
Loading 0:  82%|████████▏ | 239/291 [00:07<00:02, 24.28it/s]
Loading 0:  85%|████████▍ | 246/291 [00:08<00:01, 31.42it/s]
Loading 0:  86%|████████▌ | 250/291 [00:08<00:01, 31.05it/s]
Loading 0:  88%|████████▊ | 255/291 [00:08<00:01, 33.93it/s]
Loading 0:  89%|████████▉ | 259/291 [00:08<00:00, 32.88it/s]
Loading 0:  91%|█████████ | 264/291 [00:08<00:00, 35.11it/s]
Loading 0:  92%|█████████▏| 268/291 [00:08<00:00, 33.57it/s]
Loading 0:  94%|█████████▍| 273/291 [00:08<00:00, 35.88it/s]
Loading 0:  95%|█████████▌| 277/291 [00:08<00:00, 33.41it/s]
Loading 0:  97%|█████████▋| 281/291 [00:09<00:00, 33.25it/s]
Loading 0:  98%|█████████▊| 286/291 [00:14<00:01,  2.59it/s]
Loading 0:  99%|█████████▉| 289/291 [00:14<00:00,  3.22it/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-n16-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-n16-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-n16-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-n16-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-n16-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-n16-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
trace2333-fd-llama3-v1-n16-v1-mkmlizer: Saving duration: 1.349s
trace2333-fd-llama3-v1-n16-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.985s
trace2333-fd-llama3-v1-n16-v1-mkmlizer: creating bucket guanaco-reward-models
trace2333-fd-llama3-v1-n16-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
trace2333-fd-llama3-v1-n16-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/trace2333-fd-llama3-v1-n16-v1_reward
trace2333-fd-llama3-v1-n16-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-n16-v1_reward/config.json
trace2333-fd-llama3-v1-n16-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-n16-v1_reward/special_tokens_map.json
trace2333-fd-llama3-v1-n16-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-n16-v1_reward/tokenizer_config.json
trace2333-fd-llama3-v1-n16-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/trace2333-fd-llama3-v1-n16-v1_reward/merges.txt
trace2333-fd-llama3-v1-n16-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-n16-v1_reward/vocab.json
trace2333-fd-llama3-v1-n16-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-n16-v1_reward/tokenizer.json
trace2333-fd-llama3-v1-n16-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/trace2333-fd-llama3-v1-n16-v1_reward/reward.tensors
Job trace2333-fd-llama3-v1-n16-v1-mkmlizer completed after 136.38s with status: succeeded
Stopping job with name trace2333-fd-llama3-v1-n16-v1-mkmlizer
Pipeline stage MKMLizer completed in 137.37s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service trace2333-fd-llama3-v1-n16-v1
Waiting for inference service trace2333-fd-llama3-v1-n16-v1 to be ready
Inference service trace2333-fd-llama3-v1-n16-v1 ready after 130.8217203617096s
Pipeline stage ISVCDeployer completed in 132.30s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2614598274230957s
Received healthy response to inference request in 1.4645779132843018s
Received healthy response to inference request in 1.4519023895263672s
Received healthy response to inference request in 1.375335454940796s
Received healthy response to inference request in 1.4004781246185303s
5 requests
0 failed requests
5th percentile: 1.3803639888763428
10th percentile: 1.3853925228118897
20th percentile: 1.3954495906829834
30th percentile: 1.4107629776000976
40th percentile: 1.4313326835632325
50th percentile: 1.4519023895263672
60th percentile: 1.456972599029541
70th percentile: 1.4620428085327148
80th percentile: 1.6239542961120608
90th percentile: 1.9427070617675781
95th percentile: 2.102083444595337
99th percentile: 2.229584550857544
mean time: 1.5907507419586182
Pipeline stage StressChecker completed in 8.68s
trace2333-fd-llama3-v1-n16_v1 status is now deployed due to DeploymentManager action
trace2333-fd-llama3-v1-n16_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of trace2333-fd-llama3-v1-n16_v1
Running pipeline stage ISVCDeleter
Checking if service trace2333-fd-llama3-v1-n16-v1 is running
Tearing down inference service trace2333-fd-llama3-v1-n16-v1
Service trace2333-fd-llama3-v1-n16-v1 has been torndown
Pipeline stage ISVCDeleter completed in 4.64s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key trace2333-fd-llama3-v1-n16-v1/config.json from bucket guanaco-mkml-models
Deleting key trace2333-fd-llama3-v1-n16-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key trace2333-fd-llama3-v1-n16-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key trace2333-fd-llama3-v1-n16-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key trace2333-fd-llama3-v1-n16-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key trace2333-fd-llama3-v1-n16-v1_reward/config.json from bucket guanaco-reward-models
Deleting key trace2333-fd-llama3-v1-n16-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key trace2333-fd-llama3-v1-n16-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key trace2333-fd-llama3-v1-n16-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key trace2333-fd-llama3-v1-n16-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key trace2333-fd-llama3-v1-n16-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key trace2333-fd-llama3-v1-n16-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.38s
trace2333-fd-llama3-v1-n16_v1 status is now torndown due to DeploymentManager action