trace2333-fd-llama3-v1-f_9760

developer_uid: Trace2333

submission_id: trace2333-fd-llama3-v1-f_9760_v2

model_name: trace2333-fd-llama3-v1-f_9760_v2

model_group: Trace2333/fd_llama3_v1_f

status: torndown

timestamp: 2024-08-14T02:34:51+00:00

num_battles: 12309

num_wins: 5408

celo_rating: 1179.06

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_v2

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: 0.4393533187098871

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': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{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-v2-mkmlizer
Waiting for job on trace2333-fd-llama3-v1-f-9760-v2-mkmlizer to finish
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ║     _____            __           __                                ║
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ║       /___/                                                         ║
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ║  Version: 0.9.9                                                     ║
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ║  belonging to:                                                      ║
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: Downloaded to shared memory in 63.835s
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpgqnfi4ol, device:0
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: quantized model in 29.020s
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: Processed model Trace2333/fd_llama3_v1_fdall_r32a16_axo in 92.856s
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: creating bucket guanaco-mkml-models
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-9760-v2
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-9760-v2/config.json
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-9760-v2/special_tokens_map.json
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-9760-v2/tokenizer_config.json
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-9760-v2/tokenizer.json
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-9760-v2/flywheel_model.0.safetensors
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:10, 26.36it/s]
Loading 0:   4%|▍         | 12/291 [00:00<00:07, 35.41it/s]
Loading 0:   5%|▌         | 16/291 [00:00<00:08, 33.49it/s]
Loading 0:   7%|▋         | 21/291 [00:00<00:07, 36.74it/s]
Loading 0:   9%|▊         | 25/291 [00:00<00:07, 34.48it/s]
Loading 0:  11%|█         | 31/291 [00:00<00:06, 40.47it/s]
Loading 0:  12%|█▏        | 36/291 [00:01<00:10, 23.40it/s]
Loading 0:  14%|█▍        | 41/291 [00:01<00:09, 25.18it/s]
Loading 0:  16%|█▋        | 48/291 [00:01<00:07, 31.68it/s]
Loading 0:  18%|█▊        | 52/291 [00:01<00:07, 31.50it/s]
Loading 0:  20%|█▉        | 57/291 [00:01<00:06, 34.22it/s]
Loading 0:  21%|██        | 61/291 [00:01<00:06, 33.20it/s]
Loading 0:  23%|██▎       | 66/291 [00:02<00:06, 35.51it/s]
Loading 0:  24%|██▍       | 70/291 [00:02<00:06, 34.12it/s]
Loading 0:  25%|██▌       | 74/291 [00:02<00:06, 34.28it/s]
Loading 0:  27%|██▋       | 78/291 [00:02<00:06, 33.45it/s]
Loading 0:  28%|██▊       | 82/291 [00:02<00:08, 23.67it/s]
Loading 0:  29%|██▉       | 85/291 [00:02<00:08, 24.56it/s]
Loading 0:  31%|███       | 90/291 [00:02<00:06, 28.82it/s]
Loading 0:  32%|███▏      | 94/291 [00:03<00:06, 29.57it/s]
Loading 0:  34%|███▍      | 99/291 [00:03<00:05, 33.16it/s]
Loading 0:  35%|███▌      | 103/291 [00:03<00:05, 32.60it/s]
Loading 0:  37%|███▋      | 108/291 [00:03<00:05, 35.67it/s]
Loading 0:  38%|███▊      | 112/291 [00:03<00:05, 34.18it/s]
Loading 0:  40%|███▉      | 116/291 [00:03<00:05, 34.30it/s]
Loading 0:  42%|████▏     | 122/291 [00:03<00:04, 38.70it/s]
Loading 0:  44%|████▎     | 127/291 [00:03<00:04, 36.26it/s]
Loading 0:  46%|████▌     | 133/291 [00:04<00:05, 30.82it/s]
Loading 0:  47%|████▋     | 137/291 [00:04<00:04, 31.15it/s]
Loading 0:  48%|████▊     | 141/291 [00:04<00:05, 29.23it/s]
Loading 0:  51%|█████     | 147/291 [00:04<00:04, 34.17it/s]
Loading 0:  52%|█████▏    | 151/291 [00:04<00:04, 33.14it/s]
Loading 0:  54%|█████▎    | 156/291 [00:04<00:03, 35.35it/s]
Loading 0:  55%|█████▍    | 160/291 [00:04<00:03, 33.31it/s]
Loading 0:  57%|█████▋    | 165/291 [00:05<00:03, 35.77it/s]
Loading 0:  58%|█████▊    | 169/291 [00:05<00:03, 33.93it/s]
Loading 0:  60%|█████▉    | 174/291 [00:05<00:03, 36.05it/s]
Loading 0:  61%|██████    | 178/291 [00:05<00:03, 33.58it/s]
Loading 0:  63%|██████▎   | 184/291 [00:05<00:02, 39.29it/s]
Loading 0:  65%|██████▍   | 189/291 [00:05<00:04, 24.61it/s]
Loading 0:  67%|██████▋   | 194/291 [00:06<00:03, 26.18it/s]
Loading 0:  69%|██████▉   | 201/291 [00:06<00:02, 32.89it/s]
Loading 0:  70%|███████   | 205/291 [00:06<00:02, 32.53it/s]
Loading 0:  72%|███████▏  | 210/291 [00:06<00:02, 35.37it/s]
Loading 0:  74%|███████▎  | 214/291 [00:06<00:02, 33.87it/s]
Loading 0:  75%|███████▌  | 219/291 [00:06<00:01, 36.37it/s]
Loading 0:  77%|███████▋  | 223/291 [00:06<00:01, 34.20it/s]
Loading 0:  78%|███████▊  | 227/291 [00:07<00:01, 34.01it/s]
Loading 0:  79%|███████▉  | 231/291 [00:07<00:01, 34.16it/s]
Loading 0:  81%|████████  | 235/291 [00:07<00:02, 25.60it/s]
Loading 0:  82%|████████▏ | 239/291 [00:07<00:02, 25.15it/s]
Loading 0:  85%|████████▍ | 246/291 [00:07<00:01, 32.25it/s]
Loading 0:  86%|████████▌ | 250/291 [00:07<00:01, 31.52it/s]
Loading 0:  88%|████████▊ | 255/291 [00:07<00:01, 33.79it/s]
Loading 0:  89%|████████▉ | 259/291 [00:08<00:00, 32.33it/s]
Loading 0:  91%|█████████ | 264/291 [00:08<00:00, 34.41it/s]
Loading 0:  92%|█████████▏| 268/291 [00:08<00:00, 32.65it/s]
Loading 0:  94%|█████████▍| 273/291 [00:08<00:00, 34.58it/s]
Loading 0:  95%|█████████▌| 277/291 [00:08<00:00, 33.26it/s]
Loading 0:  97%|█████████▋| 281/291 [00:08<00:00, 32.82it/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-f-9760-v2-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-f-9760-v2-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-v2-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: Saving duration: 1.415s
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 10.928s
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: creating bucket guanaco-reward-models
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-9760-v2_reward/tokenizer_config.json
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-9760-v2_reward/vocab.json
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-9760-v2_reward/merges.txt
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-9760-v2_reward/tokenizer.json
trace2333-fd-llama3-v1-f-9760-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-9760-v2_reward/reward.tensors
Job trace2333-fd-llama3-v1-f-9760-v2-mkmlizer completed after 132.48s with status: succeeded
Stopping job with name trace2333-fd-llama3-v1-f-9760-v2-mkmlizer
Pipeline stage MKMLizer completed in 133.96s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service trace2333-fd-llama3-v1-f-9760-v2
Waiting for inference service trace2333-fd-llama3-v1-f-9760-v2 to be ready
Inference service trace2333-fd-llama3-v1-f-9760-v2 ready after 290.2203221321106s
Pipeline stage ISVCDeployer completed in 292.52s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2926292419433594s
Received healthy response to inference request in 1.4761404991149902s
Received healthy response to inference request in 1.4730570316314697s
Received healthy response to inference request in 1.4628808498382568s
Received healthy response to inference request in 1.4319713115692139s
5 requests
0 failed requests
5th percentile: 1.4381532192230224
10th percentile: 1.444335126876831
20th percentile: 1.4566989421844483
30th percentile: 1.4649160861968995
40th percentile: 1.4689865589141846
50th percentile: 1.4730570316314697
60th percentile: 1.474290418624878
70th percentile: 1.4755238056182862
80th percentile: 1.6394382476806642
90th percentile: 1.9660337448120118
95th percentile: 2.1293314933776855
99th percentile: 2.2599696922302246
mean time: 1.627335786819458
Pipeline stage StressChecker completed in 8.87s
trace2333-fd-llama3-v1-f_9760_v2 status is now deployed due to DeploymentManager action
trace2333-fd-llama3-v1-f_9760_v2 status is now inactive due to auto deactivation removed underperforming models
trace2333-fd-llama3-v1-f_9760_v2 status is now torndown due to DeploymentManager action