submission_id: trace2333-fd-llama3-v4-f_4563_v3
developer_uid: Trace2333
alignment_samples: 0
best_of: 16
celo_rating: 1189.42
display_name: trace2333-fd-llama3-v4-f_4563_v3
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}
generation_params: {'temperature': 1.05, 'top_p': 1.0, 'min_p': 0.06, 'top_k': 80, '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_v4_fdall_r32a64_bs24
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Trace2333/fd_llama3_v4_f
model_name: trace2333-fd-llama3-v4-f_4563_v3
model_num_parameters: 8030261248.0
model_repo: Trace2333/fd_llama3_v4_fdall_r32a64_bs24
model_size: 8B
num_battles: 13032
num_wins: 5986
propriety_score: 0.7049319727891157
propriety_total_count: 1176.0
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: 2024-08-07T03:27:06+00:00
us_pacific_date: 2024-08-06
win_ratio: 0.45933087783916515
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name trace2333-fd-llama3-v4-f-4563-v3-mkmlizer
Waiting for job on trace2333-fd-llama3-v4-f-4563-v3-mkmlizer to finish
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ║ _____ __ __ ║
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ║ /___/ ║
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ║ ║
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ║ Version: 0.9.9 ║
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ║ https://mk1.ai ║
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ║ ║
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ║ The license key for the current software has been verified as ║
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ║ belonging to: ║
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ║ ║
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ║ Chai Research Corp. ║
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ║ ║
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: Downloaded to shared memory in 37.490s
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpesqx4o87, device:0
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: quantized model in 29.103s
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: Processed model Trace2333/fd_llama3_v4_fdall_r32a64_bs24 in 66.593s
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-fd-llama3-v4-f-4563-v3
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v4-f-4563-v3/config.json
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-fd-llama3-v4-f-4563-v3/special_tokens_map.json
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v4-f-4563-v3/tokenizer_config.json
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-fd-llama3-v4-f-4563-v3/tokenizer.json
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-fd-llama3-v4-f-4563-v3/flywheel_model.0.safetensors
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 2%|▏ | 5/291 [00:00<00:11, 25.65it/s] Loading 0: 4%|▍ | 12/291 [00:00<00:07, 34.95it/s] Loading 0: 5%|▌ | 16/291 [00:00<00:08, 32.62it/s] Loading 0: 7%|▋ | 21/291 [00:00<00:07, 34.80it/s] Loading 0: 9%|▊ | 25/291 [00:00<00:08, 32.55it/s] Loading 0: 10%|█ | 30/291 [00:00<00:07, 34.60it/s] Loading 0: 12%|█▏ | 34/291 [00:01<00:10, 24.50it/s] Loading 0: 13%|█▎ | 37/291 [00:01<00:10, 23.98it/s] Loading 0: 14%|█▍ | 41/291 [00:01<00:10, 23.39it/s] Loading 0: 16%|█▋ | 48/291 [00:01<00:07, 31.05it/s] Loading 0: 18%|█▊ | 52/291 [00:01<00:07, 30.21it/s] Loading 0: 20%|█▉ | 57/291 [00:01<00:07, 33.04it/s] Loading 0: 21%|██ | 61/291 [00:02<00:07, 31.42it/s] Loading 0: 23%|██▎ | 66/291 [00:02<00:06, 34.39it/s] Loading 0: 24%|██▍ | 70/291 [00:02<00:06, 33.41it/s] Loading 0: 25%|██▌ | 74/291 [00:02<00:06, 32.58it/s] Loading 0: 27%|██▋ | 78/291 [00:02<00:06, 32.80it/s] Loading 0: 28%|██▊ | 82/291 [00:02<00:08, 23.61it/s] Loading 0: 29%|██▉ | 85/291 [00:02<00:08, 24.83it/s] Loading 0: 31%|███ | 90/291 [00:03<00:07, 28.63it/s] Loading 0: 32%|███▏ | 94/291 [00:03<00:06, 29.07it/s] Loading 0: 34%|███▍ | 99/291 [00:03<00:05, 32.27it/s] Loading 0: 35%|███▌ | 103/291 [00:03<00:06, 30.66it/s] Loading 0: 37%|███▋ | 108/291 [00:03<00:05, 33.34it/s] Loading 0: 38%|███▊ | 112/291 [00:03<00:05, 32.29it/s] Loading 0: 40%|███▉ | 116/291 [00:03<00:05, 32.46it/s] Loading 0: 42%|████▏ | 122/291 [00:03<00:04, 36.18it/s] Loading 0: 44%|████▎ | 127/291 [00:04<00:04, 34.68it/s] Loading 0: 46%|████▌ | 133/291 [00:04<00:05, 29.93it/s] Loading 0: 47%|████▋ | 137/291 [00:04<00:05, 30.33it/s] Loading 0: 48%|████▊ | 141/291 [00:04<00:05, 28.55it/s] Loading 0: 51%|█████ | 147/291 [00:04<00:04, 32.71it/s] Loading 0: 52%|█████▏ | 151/291 [00:04<00:04, 31.67it/s] Loading 0: 54%|█████▎ | 156/291 [00:05<00:03, 34.33it/s] Loading 0: 55%|█████▍ | 160/291 [00:05<00:03, 33.09it/s] Loading 0: 57%|█████▋ | 165/291 [00:05<00:03, 35.51it/s] Loading 0: 58%|█████▊ | 169/291 [00:05<00:03, 34.06it/s] Loading 0: 60%|█████▉ | 174/291 [00:05<00:03, 35.54it/s] Loading 0: 61%|██████ | 178/291 [00:05<00:03, 33.43it/s] Loading 0: 63%|██████▎ | 184/291 [00:05<00:02, 39.26it/s] Loading 0: 65%|██████▍ | 189/291 [00:06<00:04, 23.67it/s] Loading 0: 67%|██████▋ | 194/291 [00:06<00:03, 25.32it/s] Loading 0: 69%|██████▉ | 201/291 [00:06<00:02, 31.55it/s] Loading 0: 70%|███████ | 205/291 [00:06<00:02, 31.18it/s] Loading 0: 72%|███████▏ | 210/291 [00:06<00:02, 33.74it/s] Loading 0: 74%|███████▎ | 214/291 [00:06<00:02, 32.42it/s] Loading 0: 75%|███████▌ | 219/291 [00:07<00:02, 34.91it/s] Loading 0: 77%|███████▋ | 223/291 [00:07<00:02, 33.29it/s] Loading 0: 78%|███████▊ | 227/291 [00:07<00:01, 33.24it/s] Loading 0: 79%|███████▉ | 231/291 [00:07<00:01, 33.17it/s] Loading 0: 81%|████████ | 235/291 [00:07<00:02, 24.87it/s] Loading 0: 82%|████████▏ | 239/291 [00:07<00:02, 24.71it/s] Loading 0: 85%|████████▍ | 246/291 [00:07<00:01, 32.18it/s] Loading 0: 86%|████████▌ | 250/291 [00:08<00:01, 31.24it/s] Loading 0: 88%|████████▊ | 255/291 [00:08<00:01, 34.07it/s] Loading 0: 89%|████████▉ | 259/291 [00:08<00:00, 32.04it/s] Loading 0: 91%|█████████ | 264/291 [00:08<00:00, 34.28it/s] Loading 0: 92%|█████████▏| 268/291 [00:08<00:00, 33.12it/s] Loading 0: 94%|█████████▍| 273/291 [00:08<00:00, 35.27it/s] Loading 0: 95%|█████████▌| 277/291 [00:08<00:00, 33.47it/s] Loading 0: 97%|█████████▋| 281/291 [00:08<00:00, 33.79it/s] Loading 0: 98%|█████████▊| 286/291 [00:14<00:01, 2.59it/s] Loading 0: 99%|█████████▉| 289/291 [00:14<00:00, 3.23it/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-v4-f-4563-v3-mkmlizer: warnings.warn(
trace2333-fd-llama3-v4-f-4563-v3-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-v4-f-4563-v3-mkmlizer: warnings.warn(
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: Saving duration: 1.406s
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 10.707s
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: creating bucket guanaco-reward-models
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/trace2333-fd-llama3-v4-f-4563-v3_reward
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/trace2333-fd-llama3-v4-f-4563-v3_reward/config.json
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/trace2333-fd-llama3-v4-f-4563-v3_reward/tokenizer_config.json
trace2333-fd-llama3-v4-f-4563-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/trace2333-fd-llama3-v4-f-4563-v3_reward/reward.tensors
Job trace2333-fd-llama3-v4-f-4563-v3-mkmlizer completed after 105.66s with status: succeeded
Stopping job with name trace2333-fd-llama3-v4-f-4563-v3-mkmlizer
Pipeline stage MKMLizer completed in 106.85s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service trace2333-fd-llama3-v4-f-4563-v3
Waiting for inference service trace2333-fd-llama3-v4-f-4563-v3 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service trace2333-fd-llama3-v4-f-4563-v3 ready after 181.23419713974s
Pipeline stage ISVCDeployer completed in 182.75s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.268752098083496s
Received healthy response to inference request in 1.4519131183624268s
Received healthy response to inference request in 1.3225922584533691s
Received healthy response to inference request in 1.3246471881866455s
Received healthy response to inference request in 1.4212212562561035s
5 requests
0 failed requests
5th percentile: 1.3230032444000244
10th percentile: 1.3234142303466796
20th percentile: 1.3242362022399903
30th percentile: 1.3439620018005372
40th percentile: 1.3825916290283202
50th percentile: 1.4212212562561035
60th percentile: 1.433498001098633
70th percentile: 1.445774745941162
80th percentile: 1.615280914306641
90th percentile: 1.9420165061950685
95th percentile: 2.105384302139282
99th percentile: 2.2360785388946534
mean time: 1.5578251838684083
Pipeline stage StressChecker completed in 8.99s
trace2333-fd-llama3-v4-f_4563_v3 status is now deployed due to DeploymentManager action
trace2333-fd-llama3-v4-f_4563_v3 status is now inactive due to auto deactivation removed underperforming models
trace2333-fd-llama3-v4-f_4563_v3 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics