submission_id: trace2333-fd-llama3-v3-n_8970_v1
developer_uid: Trace2333
alignment_samples: 0
best_of: 16
celo_rating: 1194.3
display_name: trace2333-fd-llama3-v3-n_8970_v1
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\nBot:', 'truncate_by_message': False}
generation_params: {'temperature': 1.15, 'top_p': 1.0, 'min_p': 0.06, 'top_k': 100, '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}
is_internal_developer: False
language_model: Trace2333/fd_llama3_v3_Nall_bot
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Trace2333/fd_llama3_v3_N
model_name: trace2333-fd-llama3-v3-n_8970_v1
model_num_parameters: 8030261248.0
model_repo: Trace2333/fd_llama3_v3_Nall_bot
model_size: 8B
num_battles: 14768
num_wins: 6958
propriety_score: 0.6997019374068555
propriety_total_count: 1342.0
ranking_group: single
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'}
reward_repo: Jellywibble/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-04T04:07:35+00:00
us_pacific_date: 2024-08-03
win_ratio: 0.47115384615384615
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name trace2333-fd-llama3-v3-n-8970-v1-mkmlizer
Waiting for job on trace2333-fd-llama3-v3-n-8970-v1-mkmlizer to finish
Stopping job with name trace2333-fd-llama3-v3-n-8970-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name trace2333-fd-llama3-v3-n-8970-v1-mkmlizer
Waiting for job on trace2333-fd-llama3-v3-n-8970-v1-mkmlizer to finish
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ║ _____ __ __ ║
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ║ /___/ ║
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ║ ║
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ║ Version: 0.9.9 ║
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ║ https://mk1.ai ║
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ║ ║
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ║ The license key for the current software has been verified as ║
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ║ belonging to: ║
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ║ ║
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ║ Chai Research Corp. ║
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ║ ║
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: Downloaded to shared memory in 60.249s
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpvppbtgzf, device:0
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: quantized model in 29.768s
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: Processed model Trace2333/fd_llama3_v3_Nall_bot in 90.017s
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-fd-llama3-v3-n-8970-v1
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v3-n-8970-v1/config.json
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v3-n-8970-v1/tokenizer_config.json
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-fd-llama3-v3-n-8970-v1/special_tokens_map.json
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-fd-llama3-v3-n-8970-v1/tokenizer.json
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-fd-llama3-v3-n-8970-v1/flywheel_model.0.safetensors
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
trace2333-fd-llama3-v3-n-8970-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<00:06, 42.41it/s] Loading 0: 6%|▌ | 17/291 [00:00<00:06, 40.21it/s] Loading 0: 8%|▊ | 22/291 [00:00<00:06, 38.91it/s] Loading 0: 9%|▉ | 27/291 [00:00<00:06, 39.74it/s] Loading 0: 11%|█ | 32/291 [00:00<00:06, 37.12it/s] Loading 0: 12%|█▏ | 36/291 [00:01<00:10, 23.50it/s] Loading 0: 14%|█▍ | 41/291 [00:01<00:09, 25.54it/s] Loading 0: 16%|█▋ | 48/291 [00:01<00:07, 32.95it/s] Loading 0: 18%|█▊ | 52/291 [00:01<00:07, 31.89it/s] Loading 0: 20%|█▉ | 57/291 [00:01<00:06, 34.59it/s] Loading 0: 21%|██ | 61/291 [00:01<00:06, 33.45it/s] Loading 0: 23%|██▎ | 66/291 [00:01<00:06, 34.87it/s] Loading 0: 24%|██▍ | 70/291 [00:02<00:06, 33.62it/s] Loading 0: 25%|██▌ | 74/291 [00:02<00:06, 33.83it/s] Loading 0: 27%|██▋ | 78/291 [00:02<00:06, 33.73it/s] Loading 0: 28%|██▊ | 82/291 [00:02<00:09, 23.18it/s] Loading 0: 29%|██▉ | 85/291 [00:02<00:08, 24.10it/s] Loading 0: 31%|███ | 90/291 [00:02<00:07, 28.48it/s] Loading 0: 32%|███▏ | 94/291 [00:03<00:06, 29.31it/s] Loading 0: 34%|███▍ | 99/291 [00:03<00:05, 33.14it/s] Loading 0: 35%|███▌ | 103/291 [00:03<00:05, 32.61it/s] Loading 0: 37%|███▋ | 108/291 [00:03<00:05, 35.98it/s] Loading 0: 38%|███▊ | 112/291 [00:03<00:05, 34.44it/s] Loading 0: 40%|███▉ | 116/291 [00:03<00:05, 32.95it/s] Loading 0: 42%|████▏ | 122/291 [00:03<00:04, 37.01it/s] Loading 0: 44%|████▎ | 127/291 [00:03<00:04, 34.57it/s] Loading 0: 46%|████▌ | 133/291 [00:04<00:05, 28.92it/s] Loading 0: 47%|████▋ | 137/291 [00:04<00:05, 29.22it/s] Loading 0: 48%|████▊ | 141/291 [00:04<00:05, 27.69it/s] Loading 0: 51%|█████ | 147/291 [00:04<00:04, 32.40it/s] Loading 0: 52%|█████▏ | 151/291 [00:04<00:04, 31.62it/s] Loading 0: 54%|█████▎ | 156/291 [00:04<00:04, 33.43it/s] Loading 0: 55%|█████▍ | 160/291 [00:05<00:04, 32.19it/s] Loading 0: 57%|█████▋ | 165/291 [00:05<00:03, 34.15it/s] Loading 0: 58%|█████▊ | 169/291 [00:05<00:03, 32.73it/s] Loading 0: 60%|█████▉ | 174/291 [00:05<00:03, 34.28it/s] Loading 0: 61%|██████ | 178/291 [00:05<00:03, 32.72it/s] Loading 0: 63%|██████▎ | 183/291 [00:05<00:02, 36.61it/s] Loading 0: 64%|██████▍ | 187/291 [00:05<00:04, 24.50it/s] Loading 0: 66%|██████▌ | 191/291 [00:06<00:03, 25.50it/s] Loading 0: 67%|██████▋ | 194/291 [00:06<00:04, 22.31it/s] Loading 0: 69%|██████▉ | 201/291 [00:06<00:03, 29.82it/s] Loading 0: 70%|███████ | 205/291 [00:06<00:02, 28.77it/s] Loading 0: 72%|███████▏ | 210/291 [00:06<00:02, 31.62it/s] Loading 0: 74%|███████▎ | 214/291 [00:06<00:02, 30.97it/s] Loading 0: 75%|███████▌ | 219/291 [00:06<00:02, 33.36it/s] Loading 0: 77%|███████▋ | 223/291 [00:07<00:02, 32.23it/s] Loading 0: 78%|███████▊ | 227/291 [00:07<00:02, 31.85it/s] Loading 0: 79%|███████▉ | 231/291 [00:07<00:01, 32.12it/s] Loading 0: 81%|████████ | 235/291 [00:07<00:02, 23.60it/s] Loading 0: 82%|████████▏ | 239/291 [00:07<00:02, 23.84it/s] Loading 0: 85%|████████▍ | 246/291 [00:07<00:01, 31.32it/s] Loading 0: 86%|████████▌ | 250/291 [00:08<00:01, 30.75it/s] Loading 0: 88%|████████▊ | 255/291 [00:08<00:01, 33.54it/s] Loading 0: 89%|████████▉ | 259/291 [00:08<00:00, 32.59it/s] Loading 0: 91%|█████████ | 264/291 [00:08<00:00, 34.22it/s] Loading 0: 92%|█████████▏| 268/291 [00:08<00:00, 32.82it/s] Loading 0: 94%|█████████▍| 273/291 [00:08<00:00, 35.49it/s] Loading 0: 95%|█████████▌| 277/291 [00:08<00:00, 33.44it/s] Loading 0: 97%|█████████▋| 281/291 [00:08<00:00, 33.36it/s] Loading 0: 98%|█████████▊| 286/291 [00:14<00:01, 2.56it/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-v3-n-8970-v1-mkmlizer: warnings.warn(
trace2333-fd-llama3-v3-n-8970-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-v3-n-8970-v1-mkmlizer: warnings.warn(
trace2333-fd-llama3-v3-n-8970-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-v3-n-8970-v1-mkmlizer: warnings.warn(
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: Saving duration: 1.395s
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 10.861s
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: creating bucket guanaco-reward-models
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/trace2333-fd-llama3-v3-n-8970-v1_reward
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-n-8970-v1_reward/config.json
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-n-8970-v1_reward/tokenizer_config.json
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-n-8970-v1_reward/special_tokens_map.json
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/trace2333-fd-llama3-v3-n-8970-v1_reward/merges.txt
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-n-8970-v1_reward/vocab.json
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-n-8970-v1_reward/tokenizer.json
trace2333-fd-llama3-v3-n-8970-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/trace2333-fd-llama3-v3-n-8970-v1_reward/reward.tensors
Job trace2333-fd-llama3-v3-n-8970-v1-mkmlizer completed after 136.28s with status: succeeded
Stopping job with name trace2333-fd-llama3-v3-n-8970-v1-mkmlizer
Pipeline stage MKMLizer completed in 137.94s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service trace2333-fd-llama3-v3-n-8970-v1
Waiting for inference service trace2333-fd-llama3-v3-n-8970-v1 to be ready
Inference service trace2333-fd-llama3-v3-n-8970-v1 ready after 150.92473888397217s
Pipeline stage ISVCDeployer completed in 152.80s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.288430690765381s
Received healthy response to inference request in 1.3528199195861816s
Received healthy response to inference request in 1.4323790073394775s
Received healthy response to inference request in 1.4072372913360596s
Received healthy response to inference request in 1.3941051959991455s
5 requests
0 failed requests
5th percentile: 1.3610769748687743
10th percentile: 1.3693340301513672
20th percentile: 1.3858481407165528
30th percentile: 1.3967316150665283
40th percentile: 1.401984453201294
50th percentile: 1.4072372913360596
60th percentile: 1.4172939777374267
70th percentile: 1.4273506641387939
80th percentile: 1.6035893440246585
90th percentile: 1.9460100173950197
95th percentile: 2.1172203540802
99th percentile: 2.2541886234283446
mean time: 1.5749944210052491
Pipeline stage StressChecker completed in 8.65s
trace2333-fd-llama3-v3-n_8970_v1 status is now deployed due to DeploymentManager action
trace2333-fd-llama3-v3-n_8970_v1 status is now inactive due to auto deactivation removed underperforming models
trace2333-fd-llama3-v3-n_8970_v1 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics