submission_id: jic062-instruct-v18-4-5w-c1_v1
developer_uid: chace9580
best_of: 16
celo_rating: 1190.32
display_name: jic062-instruct-v18-4-5w-c1_v1
family_friendly_score: 0.0
formatter: {'memory_template': "<|begin_of_text|><|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\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|end_of_text|>', '|eot_id|'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: jic062/instruct_v18_4.5w_c1
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: jic062/instruct_v18_4.5w
model_name: jic062-instruct-v18-4-5w-c1_v1
model_num_parameters: 8030261248.0
model_repo: jic062/instruct_v18_4.5w_c1
model_size: 8B
num_battles: 11144
num_wins: 4902
ranking_group: single
status: torndown
submission_type: basic
timestamp: 2024-08-18T23:23:03+00:00
us_pacific_date: 2024-08-18
win_ratio: 0.43987796123474515
Resubmit model
Running pipeline stage MKMLizer
Starting job with name jic062-instruct-v18-4-5w-c1-v1-mkmlizer
Waiting for job on jic062-instruct-v18-4-5w-c1-v1-mkmlizer to finish
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ║ _____ __ __ ║
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ║ /___/ ║
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ║ ║
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ║ Version: 0.9.11 ║
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ║ https://mk1.ai ║
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ║ ║
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ║ belonging to: ║
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ║ ║
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ║ Chai Research Corp. ║
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ║ ║
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: Downloaded to shared memory in 40.264s
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpq7c_3kmk, device:0
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: quantized model in 26.071s
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: Processed model jic062/instruct_v18_4.5w_c1 in 66.336s
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: creating bucket guanaco-mkml-models
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-instruct-v18-4-5w-c1-v1
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-instruct-v18-4-5w-c1-v1/config.json
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-instruct-v18-4-5w-c1-v1/special_tokens_map.json
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-instruct-v18-4-5w-c1-v1/tokenizer_config.json
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-instruct-v18-4-5w-c1-v1/tokenizer.json
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-instruct-v18-4-5w-c1-v1/flywheel_model.0.safetensors
jic062-instruct-v18-4-5w-c1-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 2%|▏ | 7/291 [00:00<00:05, 52.14it/s] Loading 0: 6%|▌ | 17/291 [00:00<00:03, 76.44it/s] Loading 0: 9%|▊ | 25/291 [00:00<00:03, 67.86it/s] Loading 0: 12%|█▏ | 34/291 [00:00<00:03, 72.13it/s] Loading 0: 15%|█▍ | 43/291 [00:00<00:03, 75.24it/s] Loading 0: 18%|█▊ | 52/291 [00:00<00:03, 76.07it/s] Loading 0: 21%|██ | 61/291 [00:00<00:02, 77.37it/s] Loading 0: 24%|██▍ | 70/291 [00:00<00:02, 79.19it/s] Loading 0: 27%|██▋ | 79/291 [00:01<00:02, 80.75it/s] Loading 0: 30%|███ | 88/291 [00:02<00:09, 21.16it/s] Loading 0: 33%|███▎ | 97/291 [00:02<00:07, 27.54it/s] Loading 0: 36%|███▋ | 106/291 [00:02<00:05, 34.48it/s] Loading 0: 40%|███▉ | 115/291 [00:02<00:04, 41.64it/s] Loading 0: 43%|████▎ | 124/291 [00:02<00:03, 49.59it/s] Loading 0: 46%|████▌ | 133/291 [00:02<00:02, 55.81it/s] Loading 0: 49%|████▉ | 142/291 [00:02<00:02, 61.26it/s] Loading 0: 52%|█████▏ | 151/291 [00:02<00:02, 65.04it/s] Loading 0: 55%|█████▍ | 160/291 [00:03<00:01, 67.46it/s] Loading 0: 58%|█████▊ | 169/291 [00:03<00:01, 69.43it/s] Loading 0: 61%|██████ | 178/291 [00:03<00:01, 71.56it/s] Loading 0: 64%|██████▍ | 187/291 [00:04<00:04, 21.49it/s] Loading 0: 67%|██████▋ | 196/291 [00:04<00:03, 27.13it/s] Loading 0: 70%|███████ | 205/291 [00:04<00:02, 32.68it/s] Loading 0: 74%|███████▎ | 214/291 [00:04<00:01, 40.29it/s] Loading 0: 77%|███████▋ | 223/291 [00:04<00:01, 48.29it/s] Loading 0: 80%|███████▉ | 232/291 [00:04<00:01, 56.05it/s] Loading 0: 83%|████████▎ | 241/291 [00:05<00:00, 60.87it/s] Loading 0: 86%|████████▌ | 250/291 [00:05<00:00, 63.39it/s] Loading 0: 89%|████████▉ | 259/291 [00:05<00:00, 66.29it/s] Loading 0: 92%|█████████▏| 268/291 [00:05<00:00, 67.96it/s] Loading 0: 95%|█████████▌| 277/291 [00:05<00:00, 70.42it/s] Loading 0: 98%|█████████▊| 286/291 [00:05<00:00, 72.67it/s]
Job jic062-instruct-v18-4-5w-c1-v1-mkmlizer completed after 83.73s with status: succeeded
Stopping job with name jic062-instruct-v18-4-5w-c1-v1-mkmlizer
Pipeline stage MKMLizer completed in 84.86s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service jic062-instruct-v18-4-5w-c1-v1
Waiting for inference service jic062-instruct-v18-4-5w-c1-v1 to be ready
Inference service jic062-instruct-v18-4-5w-c1-v1 ready after 523.5681557655334s
Pipeline stage ISVCDeployer completed in 524.33s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.043154716491699s
Received healthy response to inference request in 1.8960037231445312s
Received healthy response to inference request in 1.5381596088409424s
Received healthy response to inference request in 1.5876774787902832s
Received healthy response to inference request in 1.8003120422363281s
5 requests
0 failed requests
5th percentile: 1.5480631828308105
10th percentile: 1.5579667568206788
20th percentile: 1.5777739048004151
30th percentile: 1.6302043914794921
40th percentile: 1.7152582168579102
50th percentile: 1.8003120422363281
60th percentile: 1.8385887145996094
70th percentile: 1.8768653869628906
80th percentile: 1.9254339218139649
90th percentile: 1.984294319152832
95th percentile: 2.013724517822266
99th percentile: 2.0372686767578125
mean time: 1.7730615139007568
Pipeline stage StressChecker completed in 9.54s
jic062-instruct-v18-4-5w-c1_v1 status is now deployed due to DeploymentManager action
jic062-instruct-v18-4-5w-c1_v1 status is now inactive due to auto deactivation removed underperforming models
jic062-instruct-v18-4-5w-c1_v1 status is now torndown due to DeploymentManager action