submission_id: mistralai-mixtral-8x7b-_3473_v71
developer_uid: robert_irvine
status: inactive
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 50, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>', '<|user|>', '###'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '<s>[INST] This is an entertaining conversation. You are {bot_name} who has the persona: {memory}.\nEngage in a chat with {user_name} while staying in character. Try to flirt with {user_name}. Engage in *roleplay* actions. Describe the scene dramatically. \n', 'prompt_template': '{prompt}\n', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '[INST] {user_name}: {message} [/INST]', 'response_template': '[INST] respond with humor [/INST]{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'memory_template': '""', 'prompt_template': '""', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
timestamp: 2024-07-10T18:53:43+00:00
model_name: mistralai-mixtral-8x7b-_3473_v71
model_group: mistralai/Mixtral-8x7B-I
num_battles: 36532
num_wins: 15585
celo_rating: 1124.84
alignment_score: None
alignment_samples: 0
propriety_score: 0.7435017165277097
propriety_total_count: 6117.0
submission_type: basic
model_architecture: MixtralForCausalLM
model_num_parameters: 46702792704.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: mistralai-mixtral-8x7b-_3473_v71
ineligible_reason: None
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
reward_model: ChaiML/gpt2_xl_pairwise_89m_step_347634
us_pacific_date: 2024-07-10
win_ratio: 0.4266122851198949
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v71-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v71-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ║ _____ __ __ ║
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ║ /___/ ║
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ║ Version: 0.8.14 ║
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ║ https://mk1.ai ║
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ║ belonging to: ║
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ║ Chai Research Corp. ║
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v71-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v71-mkmlizer: Downloaded to shared memory in 402.493s
mistralai-mixtral-8x7b-3473-v71-mkmlizer: quantizing model to /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v71-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v71-mkmlizer: quantized model in 90.038s
mistralai-mixtral-8x7b-3473-v71-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 492.531s
mistralai-mixtral-8x7b-3473-v71-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v71-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v71-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v71
mistralai-mixtral-8x7b-3473-v71-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v71/config.json
mistralai-mixtral-8x7b-3473-v71-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v71/tokenizer.model
mistralai-mixtral-8x7b-3473-v71-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v71/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v71-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v71/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v71-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v71/tokenizer.json
mistralai-mixtral-8x7b-3473-v71-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v71/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v71-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v71/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v71-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v71/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v71-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v71/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v71-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
mistralai-mixtral-8x7b-3473-v71-mkmlizer: Loading 0: 0%| | 0/995 [00:00<?, ?it/s] Loading 0: 1%| | 7/995 [00:00<00:15, 63.24it/s] Loading 0: 1%|▏ | 14/995 [00:00<00:17, 56.57it/s] Loading 0: 2%|▏ | 20/995 [00:00<00:16, 57.54it/s] Loading 0: 3%|▎ | 33/995 [00:00<00:12, 79.13it/s] Loading 0: 4%|▍ | 41/995 [00:00<00:14, 66.54it/s] Loading 0: 5%|▌ | 52/995 [00:01<00:21, 43.13it/s] Loading 0: 6%|▌ | 58/995 [00:01<00:20, 44.76it/s] Loading 0: 7%|▋ | 66/995 [00:01<00:18, 51.08it/s] Loading 0: 7%|▋ | 73/995 [00:01<00:17, 52.15it/s] Loading 0: 8%|▊ | 79/995 [00:01<00:17, 52.16it/s] Loading 0: 9%|▊ | 85/995 [00:01<00:17, 52.13it/s] Loading 0: 10%|▉ | 97/995 [00:01<00:13, 67.60it/s] Loading 0: 11%|█ | 107/995 [00:02<00:19, 45.04it/s] Loading 0: 11%|█▏ | 113/995 [00:02<00:19, 46.32it/s] Loading 0: 12%|█▏ | 119/995 [00:02<00:18, 48.40it/s] Loading 0: 13%|█▎ | 127/995 [00:02<00:15, 54.40it/s] Loading 0: 13%|█▎ | 133/995 [00:12<00:15, 54.40it/s] Loading 0: 13%|█▎ | 134/995 [00:12<06:11, 2.32it/s] Loading 0: 14%|█▍ | 139/995 [00:12<04:51, 2.94it/s] Loading 0: 15%|█▍ | 145/995 [00:12<03:33, 3.98it/s] Loading 0: 16%|█▋ | 162/995 [00:13<01:48, 7.65it/s] Loading 0: 17%|█▋ | 170/995 [00:13<01:22, 9.98it/s] Loading 0: 18%|█▊ | 178/995 [00:13<01:02, 13.04it/s] Loading 0: 19%|█▊ | 186/995 [00:13<00:47, 17.04it/s] Loading 0: 19%|█▉ | 193/995 [00:13<00:38, 20.70it/s] Loading 0: 20%|██ | 200/995 [00:13<00:32, 24.57it/s] Loading 0: 21%|██ | 210/995 [00:14<00:30, 25.69it/s] Loading 0: 22%|██▏ | 219/995 [00:14<00:23, 32.86it/s] Loading 0: 23%|██▎ | 227/995 [00:14<00:19, 38.82it/s] Loading 0: 24%|██▎ | 235/995 [00:14<00:17, 44.66it/s] Loading 0: 24%|██▍ | 242/995 [00:14<00:15, 49.17it/s] Loading 0: 26%|██▌ | 255/995 [00:14<00:11, 65.41it/s] Loading 0: 27%|██▋ | 265/995 [00:15<00:16, 45.08it/s] Loading 0: 28%|██▊ | 275/995 [00:15<00:13, 52.89it/s] Loading 0: 28%|██▊ | 283/995 [00:31<06:25, 1.85it/s] Loading 0: 29%|██▉ | 290/995 [00:31<04:50, 2.43it/s] Loading 0: 30%|██▉ | 298/995 [00:31<03:28, 3.34it/s] Loading 0: 31%|███ | 305/995 [00:31<02:35, 4.44it/s] Loading 0: 31%|███▏ | 312/995 [00:32<01:54, 5.94it/s] Loading 0: 32%|███▏ | 320/995 [00:32<01:31, 7.40it/s] Loading 0: 33%|███▎ | 327/995 [00:32<01:08, 9.80it/s] Loading 0: 33%|███▎ | 333/995 [00:32<00:53, 12.42it/s] Loading 0: 34%|███▍ | 340/995 [00:32<00:40, 16.33it/s] Loading 0: 35%|███▌ | 349/995 [00:32<00:28, 22.79it/s] Loading 0: 36%|███▌ | 356/995 [00:33<00:23, 26.99it/s] Loading 0: 36%|███▋ | 363/995 [00:33<00:20, 31.46it/s] Loading 0: 37%|███▋ | 369/995 [00:33<00:22, 27.57it/s] Loading 0: 38%|███▊ | 377/995 [00:33<00:17, 34.68it/s] Loading 0: 38%|███▊ | 383/995 [00:33<00:16, 37.96it/s] Loading 0: 39%|███▉ | 389/995 [00:33<00:14, 40.96it/s] Loading 0: 40%|███▉ | 395/995 [00:33<00:13, 43.66it/s] Loading 0: 41%|████ | 407/995 [00:34<00:09, 60.32it/s] Loading 0: 42%|████▏ | 415/995 [00:34<00:10, 57.46it/s] Loading 0: 43%|████▎ | 423/995 [00:34<00:13, 41.48it/s] Loading 0: 43%|████▎ | 429/995 [00:34<00:13, 43.15it/s] Loading 0: 44%|████▍ | 436/995 [00:34<00:11, 48.00it/s] Loading 0: 44%|████▍ | 442/995 [00:34<00:11, 48.99it/s] Loading 0: 45%|████▌ | 449/995 [00:35<00:10, 51.89it/s] Loading 0: 46%|████▌ | 456/995 [00:35<00:09, 55.04it/s] Loading 0: 47%|████▋ | 469/995 [00:35<00:07, 72.40it/s] Loading 0: 48%|████▊ | 478/995 [00:35<00:11, 46.92it/s] Loading 0: 49%|████▉ | 486/995 [00:35<00:09, 52.01it/s] Loading 0: 50%|████▉ | 493/995 [00:35<00:10, 48.80it/s] Loading 0: 50%|█████ | 501/995 [00:35<00:09, 53.91it/s] Loading 0: 51%|█████ | 508/995 [00:36<00:08, 56.37it/s] Loading 0: 52%|█████▏ | 515/995 [00:36<00:08, 57.90it/s] Loading 0: 53%|█████▎ | 523/995 [00:36<00:07, 63.08it/s] Loading 0: 53%|█████▎ | 530/995 [00:36<00:10, 42.74it/s] Loading 0: 54%|█████▍ | 537/995 [00:36<00:09, 48.06it/s] Loading 0: 55%|█████▍ | 543/995 [00:36<00:09, 50.18it/s] Loading 0: 55%|█████▌ | 549/995 [00:36<00:08, 51.01it/s] Loading 0: 56%|█████▋ | 560/995 [00:52<00:08, 51.01it/s] Loading 0: 56%|█████▋ | 561/995 [00:52<04:15, 1.70it/s] Loading 0: 57%|█████▋ | 566/995 [00:52<03:22, 2.11it/s] Loading 0: 57%|█████▋ | 572/995 [00:53<02:31, 2.79it/s] Loading 0: 58%|█████▊ | 581/995 [00:53<01:42, 4.04it/s] Loading 0: 59%|█████▉ | 586/995 [00:53<01:21, 5.04it/s] Loading 0: 60%|█████▉ | 593/995 [00:53<00:57, 7.01it/s] Loading 0: 60%|██████ | 598/995 [00:53<00:45, 8.68it/s] Loading 0: 61%|██████ | 604/995 [00:54<00:34, 11.50it/s] Loading 0: 61%|██████▏ | 610/995 [00:54<00:25, 14.99it/s] Loading 0: 63%|██████▎ | 622/995 [00:54<00:15, 24.50it/s] Loading 0: 63%|██████▎ | 629/995 [00:54<00:13, 28.14it/s] Loading 0: 64%|██████▍ | 636/995 [00:54<00:13, 26.42it/s] Loading 0: 65%|██████▍ | 643/995 [00:54<00:11, 31.77it/s] Loading 0: 65%|██████▌ | 649/995 [00:54<00:09, 35.82it/s] Loading 0: 66%|██████▌ | 657/995 [00:55<00:07, 43.04it/s] Loading 0: 67%|██████▋ | 663/995 [00:55<00:07, 45.69it/s] Loading 0: 67%|██████▋ | 669/995 [00:55<00:06, 48.42it/s] Loading 0: 68%|██████▊ | 675/995 [00:55<00:06, 49.47it/s] Loading 0: 69%|██████▉ | 691/995 [00:55<00:06, 47.41it/s] Loading 0: 70%|███████ | 697/995 [00:55<00:06, 49.66it/s] Loading 0: 71%|███████ | 704/995 [00:55<00:05, 51.97it/s] Loading 0: 71%|███████▏ | 710/995 [00:56<00:05, 52.61it/s] Loading 0: 72%|███████▏ | 718/995 [00:56<00:04, 58.17it/s] Loading 0: 73%|███████▎ | 725/995 [00:56<00:04, 58.46it/s] Loading 0: 74%|███████▎ | 732/995 [00:56<00:04, 58.20it/s] Loading 0: 74%|███████▍ | 739/995 [00:56<00:06, 40.08it/s] Loading 0: 75%|███████▌ | 747/995 [00:56<00:05, 47.50it/s] Loading 0: 76%|███████▌ | 753/995 [00:56<00:04, 49.48it/s] Loading 0: 76%|███████▋ | 759/995 [00:57<00:04, 51.64it/s] Loading 0: 77%|███████▋ | 765/995 [00:57<00:04, 52.71it/s] Loading 0: 78%|███████▊ | 777/995 [00:57<00:03, 69.74it/s] Loading 0: 79%|███████▉ | 785/995 [00:57<00:03, 61.82it/s] Loading 0: 80%|███████▉ | 794/995 [00:57<00:04, 43.10it/s] Loading 0: 81%|████████ | 801/995 [00:57<00:04, 46.82it/s] Loading 0: 81%|████████▏ | 809/995 [00:58<00:03, 51.73it/s] Loading 0: 82%|████████▏ | 816/995 [00:58<00:03, 52.25it/s] Loading 0: 83%|████████▎ | 822/995 [00:58<00:03, 53.07it/s] Loading 0: 83%|████████▎ | 828/995 [00:58<00:03, 51.84it/s] Loading 0: 84%|████████▍ | 840/995 [00:58<00:02, 65.80it/s] Loading 0: 85%|████████▍ | 841/995 [01:14<00:02, 65.80it/s] Loading 0: 85%|████████▍ | 842/995 [01:14<01:55, 1.32it/s] Loading 0: 85%|████████▌ | 849/995 [01:14<01:18, 1.87it/s] Loading 0: 86%|████████▌ | 855/995 [01:15<00:54, 2.55it/s] Loading 0: 87%|████████▋ | 861/995 [01:15<00:38, 3.51it/s] Loading 0: 87%|████████▋ | 867/995 [01:15<00:26, 4.79it/s] Loading 0: 88%|████████▊ | 874/995 [01:15<00:17, 6.86it/s] Loading 0: 88%|████████▊ | 880/995 [01:15<00:12, 9.11it/s] Loading 0: 89%|████████▉ | 886/995 [01:15<00:09, 11.89it/s] Loading 0: 90%|████████▉ | 892/995 [01:15<00:06, 15.49it/s] Loading 0: 90%|█████████ | 898/995 [01:16<00:05, 16.24it/s] Loading 0: 91%|█████████ | 905/995 [01:16<00:04, 21.65it/s] Loading 0: 92%|█████████▏| 911/995 [01:16<00:03, 25.78it/s] Loading 0: 92%|█████████▏| 917/995 [01:16<00:02, 30.10it/s] Loading 0: 93%|█████████▎| 923/995 [01:16<00:02, 34.01it/s] Loading 0: 94%|█████████▍| 935/995 [01:16<00:01, 49.09it/s] Loading 0: 95%|█████████▍| 942/995 [01:16<00:01, 50.29it/s] Loading 0: 96%|█████████▌| 952/995 [01:18<00:03, 13.74it/s] Loading 0: 96%|█████████▌| 957/995 [01:18<00:02, 16.10it/s] Loading 0: 97%|█████████▋| 965/995 [01:18<00:01, 21.43it/s] Loading 0: 98%|█████████▊| 972/995 [01:18<00:00, 26.30it/s] Loading 0: 98%|█████████▊| 979/995 [01:18<00:00, 31.99it/s] Loading 0: 99%|█████████▉| 986/995 [01:18<00:00, 37.79it/s] /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:919: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v71-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v71-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
mistralai-mixtral-8x7b-3473-v71-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v71-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:769: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v71-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v71-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v71-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v71-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.14it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.54it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.22it/s]
mistralai-mixtral-8x7b-3473-v71-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v71-mkmlizer: Saving duration: 3.545s
mistralai-mixtral-8x7b-3473-v71-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.357s
mistralai-mixtral-8x7b-3473-v71-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v71-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v71-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v71_reward
mistralai-mixtral-8x7b-3473-v71-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v71_reward/config.json
mistralai-mixtral-8x7b-3473-v71-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v71_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v71-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v71_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v71-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v71_reward/vocab.json
mistralai-mixtral-8x7b-3473-v71-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v71_reward/merges.txt
mistralai-mixtral-8x7b-3473-v71-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v71_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v71-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v71_reward/reward.tensors
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Job mistralai-mixtral-8x7b-3473-v71-mkmlizer completed after 909.1s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v71-mkmlizer
Pipeline stage MKMLizer completed in 909.62s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v71
Waiting for inference service mistralai-mixtral-8x7b-3473-v71 to be ready
Inference service mistralai-mixtral-8x7b-3473-v71 ready after 80.62578821182251s
Pipeline stage ISVCDeployer completed in 86.64s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.93011474609375s
Received healthy response to inference request in 2.0450918674468994s
Received healthy response to inference request in 2.319995403289795s
Received healthy response to inference request in 1.4816887378692627s
Received healthy response to inference request in 1.9023363590240479s
5 requests
0 failed requests
5th percentile: 1.5658182621002197
10th percentile: 1.6499477863311767
20th percentile: 1.8182068347930909
30th percentile: 1.9308874607086182
40th percentile: 1.9879896640777588
50th percentile: 2.0450918674468994
60th percentile: 2.1550532817840575
70th percentile: 2.2650146961212156
80th percentile: 2.442019271850586
90th percentile: 2.686067008972168
95th percentile: 2.8080908775329587
99th percentile: 2.9057099723815916
mean time: 2.135845422744751
Pipeline stage StressChecker completed in 11.46s
mistralai-mixtral-8x7b-_3473_v71 status is now deployed due to DeploymentManager action
mistralai-mixtral-8x7b-_3473_v71 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics