trace2333-fd-llama3-v1

developer_uid: Trace2333

submission_id: trace2333-fd-llama3-v1_v1

model_name: trace2333-fd-llama3-v1_v1

model_group: Trace2333/fd_llama3_v1

status: torndown

timestamp: 2024-08-01T02:08:16+00:00

num_battles: 17771

num_wins: 8921

celo_rating: 1199.11

family_friendly_score: 0.0

submission_type: basic

model_repo: Trace2333/fd_llama3_v1

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_v1

is_internal_developer: False

language_model: Trace2333/fd_llama3_v1

model_size: 8B

ranking_group: single

us_pacific_date: 2024-07-31

win_ratio: 0.5019976365989534

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.12, 'top_k': 200, '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-v1-mkmlizer
Waiting for job on trace2333-fd-llama3-v1-v1-mkmlizer to finish
trace2333-fd-llama3-v1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-fd-llama3-v1-v1-mkmlizer: ║     _____            __           __                                ║
trace2333-fd-llama3-v1-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-fd-llama3-v1-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-fd-llama3-v1-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-fd-llama3-v1-v1-mkmlizer: ║       /___/                                                         ║
trace2333-fd-llama3-v1-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-v1-mkmlizer: ║  Version: 0.9.7                                                     ║
trace2333-fd-llama3-v1-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-fd-llama3-v1-v1-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-fd-llama3-v1-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-fd-llama3-v1-v1-mkmlizer: ║  belonging to:                                                      ║
trace2333-fd-llama3-v1-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-v1-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-fd-llama3-v1-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-fd-llama3-v1-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-fd-llama3-v1-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-fd-llama3-v1-v1-mkmlizer: Downloaded to shared memory in 66.760s
trace2333-fd-llama3-v1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpk3fzg_64, device:0
trace2333-fd-llama3-v1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-fd-llama3-v1-v1-mkmlizer: quantized model in 28.322s
trace2333-fd-llama3-v1-v1-mkmlizer: Processed model Trace2333/fd_llama3_v1 in 95.082s
trace2333-fd-llama3-v1-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-fd-llama3-v1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-fd-llama3-v1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-fd-llama3-v1-v1
trace2333-fd-llama3-v1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-v1/config.json
trace2333-fd-llama3-v1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-v1/special_tokens_map.json
trace2333-fd-llama3-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-v1/tokenizer_config.json
trace2333-fd-llama3-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-v1/tokenizer.json
trace2333-fd-llama3-v1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-fd-llama3-v1-v1/flywheel_model.0.safetensors
trace2333-fd-llama3-v1-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
trace2333-fd-llama3-v1-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:10, 28.32it/s]
Loading 0:   4%|▍         | 12/291 [00:00<00:07, 37.98it/s]
Loading 0:   5%|▌         | 16/291 [00:00<00:07, 35.45it/s]
Loading 0:   7%|▋         | 21/291 [00:00<00:06, 38.81it/s]
Loading 0:   9%|▊         | 25/291 [00:00<00:07, 36.22it/s]
Loading 0:  11%|█         | 31/291 [00:00<00:06, 42.78it/s]
Loading 0:  12%|█▏        | 36/291 [00:01<00:10, 24.88it/s]
Loading 0:  14%|█▍        | 41/291 [00:01<00:09, 26.71it/s]
Loading 0:  16%|█▋        | 48/291 [00:01<00:07, 32.97it/s]
Loading 0:  18%|█▊        | 52/291 [00:01<00:07, 32.70it/s]
Loading 0:  20%|█▉        | 57/291 [00:01<00:06, 35.59it/s]
Loading 0:  21%|██        | 61/291 [00:01<00:06, 34.80it/s]
Loading 0:  23%|██▎       | 66/291 [00:01<00:05, 37.68it/s]
Loading 0:  24%|██▍       | 71/291 [00:02<00:05, 37.44it/s]
Loading 0:  26%|██▌       | 75/291 [00:02<00:07, 30.46it/s]
Loading 0:  27%|██▋       | 80/291 [00:02<00:07, 26.97it/s]
Loading 0:  29%|██▊       | 83/291 [00:02<00:08, 24.81it/s]
Loading 0:  31%|███       | 90/291 [00:02<00:06, 32.79it/s]
Loading 0:  32%|███▏      | 94/291 [00:02<00:05, 32.87it/s]
Loading 0:  34%|███▍      | 99/291 [00:03<00:05, 36.06it/s]
Loading 0:  35%|███▌      | 103/291 [00:03<00:05, 35.16it/s]
Loading 0:  37%|███▋      | 108/291 [00:03<00:04, 37.24it/s]
Loading 0:  38%|███▊      | 112/291 [00:03<00:04, 35.83it/s]
Loading 0:  40%|███▉      | 116/291 [00:03<00:04, 36.14it/s]
Loading 0:  42%|████▏     | 122/291 [00:03<00:04, 40.33it/s]
Loading 0:  44%|████▎     | 127/291 [00:03<00:04, 37.32it/s]
Loading 0:  46%|████▌     | 133/291 [00:03<00:04, 32.14it/s]
Loading 0:  47%|████▋     | 137/291 [00:04<00:04, 32.06it/s]
Loading 0:  48%|████▊     | 141/291 [00:04<00:05, 29.73it/s]
Loading 0:  51%|█████     | 147/291 [00:04<00:04, 34.87it/s]
Loading 0:  52%|█████▏    | 151/291 [00:04<00:04, 34.08it/s]
Loading 0:  54%|█████▎    | 156/291 [00:04<00:03, 36.10it/s]
Loading 0:  55%|█████▍    | 160/291 [00:04<00:03, 34.33it/s]
Loading 0:  57%|█████▋    | 165/291 [00:04<00:03, 36.95it/s]
Loading 0:  58%|█████▊    | 169/291 [00:05<00:03, 35.67it/s]
Loading 0:  60%|█████▉    | 174/291 [00:05<00:03, 37.65it/s]
Loading 0:  61%|██████    | 178/291 [00:05<00:03, 35.55it/s]
Loading 0:  63%|██████▎   | 184/291 [00:05<00:02, 41.00it/s]
Loading 0:  65%|██████▍   | 189/291 [00:05<00:04, 25.01it/s]
Loading 0:  67%|██████▋   | 194/291 [00:05<00:03, 26.68it/s]
Loading 0:  69%|██████▉   | 201/291 [00:06<00:02, 33.14it/s]
Loading 0:  70%|███████   | 205/291 [00:06<00:02, 32.31it/s]
Loading 0:  72%|███████▏  | 210/291 [00:06<00:02, 35.23it/s]
Loading 0:  74%|███████▎  | 214/291 [00:06<00:02, 34.33it/s]
Loading 0:  75%|███████▌  | 219/291 [00:06<00:01, 37.01it/s]
Loading 0:  77%|███████▋  | 223/291 [00:06<00:01, 35.71it/s]
Loading 0:  78%|███████▊  | 227/291 [00:06<00:01, 35.89it/s]
Loading 0:  79%|███████▉  | 231/291 [00:06<00:01, 36.07it/s]
Loading 0:  81%|████████  | 235/291 [00:07<00:02, 26.90it/s]
Loading 0:  82%|████████▏ | 239/291 [00:07<00:01, 26.38it/s]
Loading 0:  85%|████████▍ | 246/291 [00:07<00:01, 34.33it/s]
Loading 0:  86%|████████▌ | 250/291 [00:07<00:01, 33.87it/s]
Loading 0:  88%|████████▊ | 255/291 [00:07<00:00, 36.90it/s]
Loading 0:  89%|████████▉ | 259/291 [00:07<00:00, 35.63it/s]
Loading 0:  91%|█████████ | 264/291 [00:07<00:00, 38.29it/s]
Loading 0:  92%|█████████▏| 268/291 [00:07<00:00, 36.39it/s]
Loading 0:  94%|█████████▍| 273/291 [00:08<00:00, 38.82it/s]
Loading 0:  95%|█████████▌| 277/291 [00:08<00:00, 36.72it/s]
Loading 0:  97%|█████████▋| 281/291 [00:08<00:00, 36.58it/s]
Loading 0:  98%|█████████▊| 286/291 [00:13<00:01,  2.62it/s]
Loading 0:  99%|█████████▉| 289/291 [00:13<00:00,  3.26it/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-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-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-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-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-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
trace2333-fd-llama3-v1-v1-mkmlizer: Saving duration: 1.377s
trace2333-fd-llama3-v1-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 12.946s
trace2333-fd-llama3-v1-v1-mkmlizer: creating bucket guanaco-reward-models
trace2333-fd-llama3-v1-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
trace2333-fd-llama3-v1-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/trace2333-fd-llama3-v1-v1_reward
trace2333-fd-llama3-v1-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/trace2333-fd-llama3-v1-v1_reward/merges.txt
trace2333-fd-llama3-v1-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-v1_reward/vocab.json
trace2333-fd-llama3-v1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-v1_reward/tokenizer.json
trace2333-fd-llama3-v1-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/trace2333-fd-llama3-v1-v1_reward/reward.tensors
Job trace2333-fd-llama3-v1-v1-mkmlizer completed after 147.85s with status: succeeded
Stopping job with name trace2333-fd-llama3-v1-v1-mkmlizer
Pipeline stage MKMLizer completed in 148.92s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service trace2333-fd-llama3-v1-v1
Waiting for inference service trace2333-fd-llama3-v1-v1 to be ready
Inference service trace2333-fd-llama3-v1-v1 ready after 131.21072220802307s
Pipeline stage ISVCDeployer completed in 132.88s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.470568895339966s
Received healthy response to inference request in 1.5160150527954102s
Received healthy response to inference request in 1.4768657684326172s
Received healthy response to inference request in 1.3823559284210205s
Received healthy response to inference request in 1.3825924396514893s
5 requests
0 failed requests
5th percentile: 1.3824032306671143
10th percentile: 1.382450532913208
20th percentile: 1.3825451374053954
30th percentile: 1.4014471054077149
40th percentile: 1.439156436920166
50th percentile: 1.4768657684326172
60th percentile: 1.4925254821777343
70th percentile: 1.5081851959228516
80th percentile: 1.7069258213043215
90th percentile: 2.0887473583221436
95th percentile: 2.2796581268310545
99th percentile: 2.4323867416381835
mean time: 1.6456796169281005
Pipeline stage StressChecker completed in 8.93s
trace2333-fd-llama3-v1_v1 status is now deployed due to DeploymentManager action
trace2333-fd-llama3-v1_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of trace2333-fd-llama3-v1_v1
Running pipeline stage ISVCDeleter
Checking if service trace2333-fd-llama3-v1-v1 is running
Tearing down inference service trace2333-fd-llama3-v1-v1
Service trace2333-fd-llama3-v1-v1 has been torndown
Pipeline stage ISVCDeleter completed in 4.59s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key trace2333-fd-llama3-v1-v1/config.json from bucket guanaco-mkml-models
Deleting key trace2333-fd-llama3-v1-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key trace2333-fd-llama3-v1-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key trace2333-fd-llama3-v1-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key trace2333-fd-llama3-v1-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key trace2333-fd-llama3-v1-v1_reward/config.json from bucket guanaco-reward-models
Deleting key trace2333-fd-llama3-v1-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key trace2333-fd-llama3-v1-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key trace2333-fd-llama3-v1-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key trace2333-fd-llama3-v1-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key trace2333-fd-llama3-v1-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key trace2333-fd-llama3-v1-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.41s
trace2333-fd-llama3-v1_v1 status is now torndown due to DeploymentManager action