trace2333-fd-llama3-v1-nall

developer_uid: Trace2333

submission_id: trace2333-fd-llama3-v1-nall_v1

model_name: trace2333-fd-llama3-v1-nall_v1

model_group: Trace2333/fd_llama3_v1_N

status: torndown

timestamp: 2024-08-03T04:42:43+00:00

num_battles: 15465

num_wins: 7302

celo_rating: 1197.17

family_friendly_score: 0.0

submission_type: basic

model_repo: Trace2333/fd_llama3_v1_Nall

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-nall_v1

is_internal_developer: False

language_model: Trace2333/fd_llama3_v1_Nall

model_size: 8B

ranking_group: single

us_pacific_date: 2024-08-02

win_ratio: 0.4721629485935985

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-nall-v1-mkmlizer
Waiting for job on trace2333-fd-llama3-v1-nall-v1-mkmlizer to finish
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ║     _____            __           __                                ║
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ║       /___/                                                         ║
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ║  Version: 0.9.9                                                     ║
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ║  belonging to:                                                      ║
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-nall-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-fd-llama3-v1-nall-v1-mkmlizer: Downloaded to shared memory in 60.177s
trace2333-fd-llama3-v1-nall-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpn3pe6lng, device:0
trace2333-fd-llama3-v1-nall-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-fd-llama3-v1-nall-v1-mkmlizer: quantized model in 29.200s
trace2333-fd-llama3-v1-nall-v1-mkmlizer: Processed model Trace2333/fd_llama3_v1_Nall in 89.377s
trace2333-fd-llama3-v1-nall-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-fd-llama3-v1-nall-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-fd-llama3-v1-nall-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-fd-llama3-v1-nall-v1
trace2333-fd-llama3-v1-nall-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-nall-v1/config.json
trace2333-fd-llama3-v1-nall-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-nall-v1/special_tokens_map.json
trace2333-fd-llama3-v1-nall-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-nall-v1/tokenizer_config.json
trace2333-fd-llama3-v1-nall-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-nall-v1/tokenizer.json
trace2333-fd-llama3-v1-nall-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-fd-llama3-v1-nall-v1/flywheel_model.0.safetensors
trace2333-fd-llama3-v1-nall-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
trace2333-fd-llama3-v1-nall-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:10, 26.47it/s]
Loading 0:   4%|▍         | 12/291 [00:00<00:07, 35.61it/s]
Loading 0:   5%|▌         | 16/291 [00:00<00:08, 33.32it/s]
Loading 0:   7%|▋         | 21/291 [00:00<00:07, 36.35it/s]
Loading 0:   9%|▊         | 25/291 [00:00<00:07, 33.55it/s]
Loading 0:  11%|█         | 31/291 [00:00<00:06, 39.72it/s]
Loading 0:  12%|█▏        | 36/291 [00:01<00:12, 20.86it/s]
Loading 0:  14%|█▍        | 41/291 [00:01<00:10, 23.16it/s]
Loading 0:  16%|█▋        | 48/291 [00:01<00:08, 29.58it/s]
Loading 0:  18%|█▊        | 52/291 [00:01<00:08, 29.58it/s]
Loading 0:  20%|█▉        | 57/291 [00:01<00:07, 32.49it/s]
Loading 0:  21%|██        | 61/291 [00:02<00:07, 32.03it/s]
Loading 0:  23%|██▎       | 66/291 [00:02<00:06, 34.41it/s]
Loading 0:  24%|██▍       | 70/291 [00:02<00:06, 33.40it/s]
Loading 0:  25%|██▌       | 74/291 [00:02<00:06, 33.49it/s]
Loading 0:  27%|██▋       | 78/291 [00:02<00:06, 33.69it/s]
Loading 0:  28%|██▊       | 82/291 [00:02<00:09, 22.60it/s]
Loading 0:  29%|██▉       | 85/291 [00:02<00:08, 23.98it/s]
Loading 0:  31%|███       | 90/291 [00:03<00:07, 28.56it/s]
Loading 0:  32%|███▏      | 94/291 [00:03<00:06, 28.93it/s]
Loading 0:  34%|███▍      | 99/291 [00:03<00:05, 32.35it/s]
Loading 0:  35%|███▌      | 103/291 [00:03<00:05, 31.79it/s]
Loading 0:  37%|███▋      | 108/291 [00:03<00:05, 34.88it/s]
Loading 0:  38%|███▊      | 112/291 [00:03<00:05, 32.79it/s]
Loading 0:  40%|███▉      | 116/291 [00:03<00:05, 32.63it/s]
Loading 0:  42%|████▏     | 122/291 [00:03<00:04, 37.14it/s]
Loading 0:  44%|████▎     | 127/291 [00:04<00:04, 35.30it/s]
Loading 0:  46%|████▌     | 133/291 [00:04<00:05, 28.77it/s]
Loading 0:  47%|████▋     | 137/291 [00:04<00:05, 29.47it/s]
Loading 0:  48%|████▊     | 141/291 [00:04<00:05, 27.72it/s]
Loading 0:  51%|█████     | 147/291 [00:04<00:04, 32.64it/s]
Loading 0:  52%|█████▏    | 151/291 [00:04<00:04, 31.51it/s]
Loading 0:  54%|█████▎    | 156/291 [00:05<00:03, 34.30it/s]
Loading 0:  55%|█████▍    | 160/291 [00:05<00:04, 32.54it/s]
Loading 0:  57%|█████▋    | 165/291 [00:05<00:03, 34.42it/s]
Loading 0:  58%|█████▊    | 169/291 [00:05<00:03, 32.70it/s]
Loading 0:  60%|█████▉    | 174/291 [00:05<00:03, 34.89it/s]
Loading 0:  61%|██████    | 178/291 [00:05<00:03, 33.53it/s]
Loading 0:  63%|██████▎   | 184/291 [00:05<00:02, 39.54it/s]
Loading 0:  65%|██████▍   | 189/291 [00:06<00:04, 23.66it/s]
Loading 0:  67%|██████▋   | 194/291 [00:06<00:03, 25.51it/s]
Loading 0:  69%|██████▉   | 201/291 [00:06<00:02, 32.06it/s]
Loading 0:  70%|███████   | 205/291 [00:06<00:02, 31.69it/s]
Loading 0:  72%|███████▏  | 210/291 [00:06<00:02, 34.47it/s]
Loading 0:  74%|███████▎  | 214/291 [00:06<00:02, 33.84it/s]
Loading 0:  75%|███████▌  | 219/291 [00:06<00:02, 35.87it/s]
Loading 0:  77%|███████▋  | 223/291 [00:07<00:01, 34.34it/s]
Loading 0:  78%|███████▊  | 227/291 [00:07<00:01, 34.90it/s]
Loading 0:  79%|███████▉  | 231/291 [00:07<00:01, 35.08it/s]
Loading 0:  81%|████████  | 235/291 [00:07<00:02, 26.16it/s]
Loading 0:  82%|████████▏ | 239/291 [00:07<00:01, 26.11it/s]
Loading 0:  85%|████████▍ | 246/291 [00:07<00:01, 33.70it/s]
Loading 0:  86%|████████▌ | 250/291 [00:08<00:01, 32.95it/s]
Loading 0:  88%|████████▊ | 255/291 [00:08<00:01, 35.83it/s]
Loading 0:  89%|████████▉ | 259/291 [00:08<00:00, 34.64it/s]
Loading 0:  91%|█████████ | 264/291 [00:08<00:00, 36.76it/s]
Loading 0:  92%|█████████▏| 268/291 [00:08<00:00, 35.08it/s]
Loading 0:  94%|█████████▍| 273/291 [00:08<00:00, 37.54it/s]
Loading 0:  95%|█████████▌| 277/291 [00:08<00:00, 35.78it/s]
Loading 0:  97%|█████████▋| 281/291 [00:08<00:00, 33.65it/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-nall-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-nall-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-nall-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-nall-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-nall-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-nall-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
trace2333-fd-llama3-v1-nall-v1-mkmlizer: Saving duration: 1.445s
trace2333-fd-llama3-v1-nall-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.239s
trace2333-fd-llama3-v1-nall-v1-mkmlizer: creating bucket guanaco-reward-models
trace2333-fd-llama3-v1-nall-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
trace2333-fd-llama3-v1-nall-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/trace2333-fd-llama3-v1-nall-v1_reward
trace2333-fd-llama3-v1-nall-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-nall-v1_reward/special_tokens_map.json
trace2333-fd-llama3-v1-nall-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-nall-v1_reward/config.json
trace2333-fd-llama3-v1-nall-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-nall-v1_reward/tokenizer_config.json
trace2333-fd-llama3-v1-nall-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/trace2333-fd-llama3-v1-nall-v1_reward/merges.txt
trace2333-fd-llama3-v1-nall-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-nall-v1_reward/vocab.json
trace2333-fd-llama3-v1-nall-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-nall-v1_reward/tokenizer.json
Job trace2333-fd-llama3-v1-nall-v1-mkmlizer completed after 137.88s with status: succeeded
Stopping job with name trace2333-fd-llama3-v1-nall-v1-mkmlizer
Pipeline stage MKMLizer completed in 139.25s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service trace2333-fd-llama3-v1-nall-v1
Waiting for inference service trace2333-fd-llama3-v1-nall-v1 to be ready
Inference service trace2333-fd-llama3-v1-nall-v1 ready after 151.13353633880615s
Pipeline stage ISVCDeployer completed in 153.13s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.395519495010376s
Received healthy response to inference request in 1.4813215732574463s
Received healthy response to inference request in 1.435335636138916s
Received healthy response to inference request in 1.3646793365478516s
Received healthy response to inference request in 1.3783185482025146s
5 requests
0 failed requests
5th percentile: 1.3674071788787843
10th percentile: 1.3701350212097168
20th percentile: 1.375590705871582
30th percentile: 1.389721965789795
40th percentile: 1.4125288009643555
50th percentile: 1.435335636138916
60th percentile: 1.453730010986328
70th percentile: 1.4721243858337403
80th percentile: 1.6641611576080324
90th percentile: 2.029840326309204
95th percentile: 2.21267991065979
99th percentile: 2.3589515781402586
mean time: 1.611034917831421
Pipeline stage StressChecker completed in 8.80s
trace2333-fd-llama3-v1-nall_v1 status is now deployed due to DeploymentManager action
trace2333-fd-llama3-v1-nall_v1 status is now inactive due to auto deactivation removed underperforming models
trace2333-fd-llama3-v1-nall_v1 status is now torndown due to DeploymentManager action