submission_id: mistralai-mixtral-8x7b-_3473_v88
developer_uid: dzhao1
status: torndown
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
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 drama [/INST]{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-07-17T23:47:52+00:00
model_name: mistralai-mixtral-8x7b-_3473_v88
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
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 mistralai-mixtral-8x7b-3473-v88-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v88-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ║     _____            __           __                                ║
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ║       /___/                                                         ║
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ║  Version: 0.9.5.post3                                               ║
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ║  belonging to:                                                      ║
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v88-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Failed to get response for submission cgato-l3-thespice-8b-dpo_6378_v2azazelle-l3-tyche-8b-v1-0_v2: no entry with id "cgato-l3-thespice-8b-dpo_6378_v2azazelle-l3-tyche-8b-v1-0_v2" found on database!
Failed to get response for submission cgato-l3-thespice-8b-dpo_6378_v2azazelle-l3-tyche-8b-v1-0_v2: no entry with id "cgato-l3-thespice-8b-dpo_6378_v2azazelle-l3-tyche-8b-v1-0_v2" found on database!
Failed to get response for submission hastagaras-dirtybu8bl3-r_5954_v3: ('http://hastagaras-dirtybu8bl3-r-5954-v3-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
mistralai-mixtral-8x7b-3473-v88-mkmlizer: Downloaded to shared memory in 226.277s
mistralai-mixtral-8x7b-3473-v88-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7rkjzjwi, device:0
mistralai-mixtral-8x7b-3473-v88-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission cgato-l3-thespice-8b-dpo_6378_v2azazelle-l3-tyche-8b-v1-0_v2: no entry with id "cgato-l3-thespice-8b-dpo_6378_v2azazelle-l3-tyche-8b-v1-0_v2" found on database!
Failed to get response for submission cgato-l3-thespice-8b-dpo_6378_v2azazelle-l3-tyche-8b-v1-0_v2: no entry with id "cgato-l3-thespice-8b-dpo_6378_v2azazelle-l3-tyche-8b-v1-0_v2" found on database!
Failed to get response for submission hastagaras-dirtybu8bl3-r_5954_v3: ('http://hastagaras-dirtybu8bl3-r-5954-v3-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
mistralai-mixtral-8x7b-3473-v88-mkmlizer: quantized model in 79.626s
mistralai-mixtral-8x7b-3473-v88-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 305.904s
mistralai-mixtral-8x7b-3473-v88-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v88-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v88-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v88
mistralai-mixtral-8x7b-3473-v88-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v88/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v88-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v88/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v88-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v88/tokenizer.model
mistralai-mixtral-8x7b-3473-v88-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v88/tokenizer.json
mistralai-mixtral-8x7b-3473-v88-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v88/config.json
mistralai-mixtral-8x7b-3473-v88-mkmlizer: cp /dev/shm/model_cache/flywheel_model.5.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v88/flywheel_model.5.safetensors
mistralai-mixtral-8x7b-3473-v88-mkmlizer: cp /dev/shm/model_cache/flywheel_model.4.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v88/flywheel_model.4.safetensors
mistralai-mixtral-8x7b-3473-v88-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v88/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v88-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v88/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v88-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v88/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v88-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v88/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v88-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
mistralai-mixtral-8x7b-3473-v88-mkmlizer: 
Loading 0:   0%|          | 0/995 [00:00<?, ?it/s]
Loading 0:   1%|          | 8/995 [00:00<00:12, 76.29it/s]
Loading 0:   2%|▏         | 16/995 [00:00<00:13, 70.65it/s]
Loading 0:   2%|▏         | 24/995 [00:00<00:15, 61.38it/s]
Loading 0:   4%|▍         | 38/995 [00:00<00:11, 84.50it/s]
Loading 0:   5%|▍         | 47/995 [00:00<00:11, 82.32it/s]
Loading 0:   6%|▌         | 56/995 [00:00<00:18, 50.13it/s]
Loading 0:   7%|▋         | 66/995 [00:01<00:15, 58.78it/s]
Loading 0:   7%|▋         | 74/995 [00:01<00:14, 61.93it/s]
Loading 0:   8%|▊         | 82/995 [00:01<00:14, 63.75it/s]
Loading 0:  10%|▉         | 95/995 [00:01<00:11, 79.45it/s]
Loading 0:  11%|█         | 105/995 [00:01<00:10, 84.53it/s]
Loading 0:  12%|█▏        | 115/995 [00:01<00:17, 50.06it/s]
Loading 0:  12%|█▏        | 123/995 [00:01<00:16, 53.31it/s]
Loading 0:  13%|█▎        | 132/995 [00:02<00:14, 60.49it/s]
Loading 0:  14%|█▍        | 140/995 [00:02<00:13, 63.05it/s]
Loading 0:  15%|█▍        | 148/995 [00:02<00:13, 64.84it/s]
Loading 0:  16%|█▋        | 162/995 [00:02<00:14, 55.78it/s]
Loading 0:  17%|█▋        | 169/995 [00:02<00:14, 57.99it/s]
Loading 0:  18%|█▊        | 176/995 [00:02<00:13, 60.34it/s]
Loading 0:  18%|█▊        | 181/995 [00:14<00:13, 60.34it/s]
Loading 0:  18%|█▊        | 182/995 [00:14<06:06,  2.22it/s]
Loading 0:  19%|█▉        | 191/995 [00:14<04:05,  3.28it/s]
Loading 0:  20%|██        | 199/995 [00:14<02:54,  4.56it/s]
Loading 0:  21%|██        | 210/995 [00:14<01:59,  6.59it/s]
Loading 0:  22%|██▏       | 219/995 [00:14<01:25,  9.12it/s]
Loading 0:  23%|██▎       | 226/995 [00:15<01:06, 11.64it/s]
Loading 0:  23%|██▎       | 233/995 [00:15<00:51, 14.88it/s]
Loading 0:  24%|██▍       | 240/995 [00:15<00:40, 18.87it/s]
Loading 0:  25%|██▌       | 253/995 [00:15<00:25, 29.36it/s]
Loading 0:  26%|██▋       | 263/995 [00:15<00:19, 37.66it/s]
Loading 0:  27%|██▋       | 272/995 [00:15<00:20, 34.48it/s]
Loading 0:  28%|██▊       | 280/995 [00:15<00:17, 39.80it/s]
Loading 0:  29%|██▉       | 289/995 [00:15<00:14, 47.52it/s]
Loading 0:  30%|██▉       | 297/995 [00:16<00:13, 51.19it/s]
Loading 0:  31%|███       | 305/995 [00:16<00:12, 54.02it/s]
Loading 0:  31%|███▏      | 312/995 [00:16<00:12, 56.42it/s]
Loading 0:  32%|███▏      | 320/995 [00:16<00:16, 42.14it/s]
Loading 0:  33%|███▎      | 327/995 [00:16<00:14, 46.51it/s]
Loading 0:  34%|███▎      | 334/995 [00:16<00:13, 50.73it/s]
Loading 0:  34%|███▍      | 343/995 [00:16<00:11, 58.67it/s]
Loading 0:  35%|███▌      | 350/995 [00:17<00:10, 60.91it/s]
Loading 0:  35%|███▌      | 350/995 [00:27<00:10, 60.91it/s]
Loading 0:  35%|███▌      | 351/995 [00:27<06:00,  1.79it/s]
Loading 0:  36%|███▌      | 358/995 [00:27<03:56,  2.70it/s]
Loading 0:  37%|███▋      | 368/995 [00:27<02:27,  4.26it/s]
Loading 0:  38%|███▊      | 377/995 [00:27<01:37,  6.37it/s]
Loading 0:  39%|███▊      | 384/995 [00:28<01:11,  8.51it/s]
Loading 0:  39%|███▉      | 391/995 [00:28<00:53, 11.34it/s]
Loading 0:  41%|████      | 403/995 [00:28<00:32, 18.05it/s]
Loading 0:  41%|████▏     | 412/995 [00:28<00:24, 23.53it/s]
Loading 0:  43%|████▎     | 423/995 [00:28<00:22, 25.47it/s]
Loading 0:  43%|████▎     | 430/995 [00:28<00:18, 30.03it/s]
Loading 0:  44%|████▍     | 439/995 [00:28<00:14, 37.69it/s]
Loading 0:  45%|████▍     | 447/995 [00:29<00:12, 43.33it/s]
Loading 0:  46%|████▌     | 455/995 [00:29<00:11, 48.24it/s]
Loading 0:  47%|████▋     | 468/995 [00:29<00:08, 64.00it/s]
Loading 0:  48%|████▊     | 478/995 [00:29<00:11, 45.88it/s]
Loading 0:  49%|████▊     | 485/995 [00:29<00:10, 49.07it/s]
Loading 0:  49%|████▉     | 492/995 [00:29<00:09, 52.65it/s]
Loading 0:  50%|█████     | 501/995 [00:29<00:08, 60.01it/s]
Loading 0:  51%|█████     | 509/995 [00:30<00:07, 61.90it/s]
Loading 0:  52%|█████▏    | 517/995 [00:30<00:07, 63.68it/s]
Loading 0:  52%|█████▏    | 517/995 [00:40<00:07, 63.68it/s]
Loading 0:  52%|█████▏    | 518/995 [00:40<04:10,  1.90it/s]
Loading 0:  53%|█████▎    | 526/995 [00:40<02:44,  2.85it/s]
Loading 0:  54%|█████▍    | 535/995 [00:41<01:44,  4.41it/s]
Loading 0:  54%|█████▍    | 542/995 [00:41<01:15,  6.04it/s]
Loading 0:  55%|█████▌    | 549/995 [00:41<00:54,  8.23it/s]
Loading 0:  56%|█████▋    | 562/995 [00:41<00:31, 13.93it/s]
Loading 0:  57%|█████▋    | 571/995 [00:41<00:23, 18.36it/s]
Loading 0:  58%|█████▊    | 581/995 [00:41<00:19, 20.85it/s]
Loading 0:  59%|█████▉    | 588/995 [00:41<00:16, 25.17it/s]
Loading 0:  60%|██████    | 597/995 [00:41<00:12, 32.32it/s]
Loading 0:  61%|██████    | 605/995 [00:42<00:10, 38.22it/s]
Loading 0:  62%|██████▏   | 613/995 [00:42<00:08, 43.95it/s]
Loading 0:  63%|██████▎   | 627/995 [00:42<00:06, 60.12it/s]
Loading 0:  64%|██████▍   | 636/995 [00:42<00:07, 45.08it/s]
Loading 0:  65%|██████▍   | 644/995 [00:42<00:07, 49.71it/s]
Loading 0:  66%|██████▌   | 653/995 [00:42<00:06, 56.83it/s]
Loading 0:  66%|██████▋   | 661/995 [00:43<00:05, 59.84it/s]
Loading 0:  67%|██████▋   | 669/995 [00:43<00:05, 61.67it/s]
Loading 0:  68%|██████▊   | 677/995 [00:43<00:04, 65.34it/s]
Loading 0:  69%|██████▉   | 691/995 [00:43<00:05, 52.97it/s]
Loading 0:  70%|███████   | 698/995 [00:53<01:45,  2.82it/s]
Loading 0:  71%|███████   | 705/995 [00:54<01:18,  3.69it/s]
Loading 0:  72%|███████▏  | 712/995 [00:54<00:57,  4.90it/s]
Loading 0:  72%|███████▏  | 721/995 [00:54<00:38,  7.06it/s]
Loading 0:  73%|███████▎  | 729/995 [00:54<00:27,  9.55it/s]
Loading 0:  74%|███████▍  | 739/995 [00:54<00:20, 12.26it/s]
Loading 0:  75%|███████▌  | 748/995 [00:54<00:14, 16.62it/s]
Loading 0:  76%|███████▌  | 755/995 [00:54<00:11, 20.51it/s]
Loading 0:  77%|███████▋  | 762/995 [00:55<00:09, 25.21it/s]
Loading 0:  77%|███████▋  | 769/995 [00:55<00:07, 30.40it/s]
Loading 0:  79%|███████▊  | 783/995 [00:55<00:04, 45.52it/s]
Loading 0:  80%|███████▉  | 794/995 [00:55<00:05, 39.01it/s]
Loading 0:  81%|████████  | 801/995 [00:55<00:04, 43.18it/s]
Loading 0:  81%|████████▏ | 810/995 [00:55<00:03, 50.64it/s]
Loading 0:  82%|████████▏ | 818/995 [00:55<00:03, 53.59it/s]
Loading 0:  83%|████████▎ | 826/995 [00:56<00:02, 56.38it/s]
Loading 0:  84%|████████▍ | 839/995 [00:56<00:02, 71.45it/s]
Loading 0:  85%|████████▌ | 849/995 [00:56<00:03, 48.29it/s]
Loading 0:  86%|████████▌ | 856/995 [00:56<00:02, 51.41it/s]
Loading 0:  87%|████████▋ | 863/995 [00:56<00:02, 54.63it/s]
Loading 0:  87%|████████▋ | 870/995 [01:06<00:49,  2.53it/s]
Loading 0:  88%|████████▊ | 877/995 [01:07<00:34,  3.44it/s]
Loading 0:  89%|████████▉ | 884/995 [01:07<00:23,  4.68it/s]
Loading 0:  90%|████████▉ | 891/995 [01:07<00:16,  6.38it/s]
Loading 0:  90%|█████████ | 898/995 [01:07<00:12,  8.07it/s]
Loading 0:  91%|█████████ | 907/995 [01:07<00:07, 11.80it/s]
Loading 0:  92%|█████████▏| 914/995 [01:07<00:05, 15.33it/s]
Loading 0:  93%|█████████▎| 921/995 [01:07<00:03, 19.70it/s]
Loading 0:  94%|█████████▍| 935/995 [01:07<00:01, 31.61it/s]
Loading 0:  95%|█████████▍| 944/995 [01:08<00:01, 37.50it/s]
Loading 0:  96%|█████████▌| 952/995 [01:09<00:03, 13.51it/s]
Loading 0:  96%|█████████▋| 959/995 [01:09<00:02, 16.96it/s]
Loading 0:  97%|█████████▋| 968/995 [01:09<00:01, 22.82it/s]
Loading 0:  98%|█████████▊| 975/995 [01:10<00:00, 27.62it/s]
Loading 0:  99%|█████████▊| 982/995 [01:10<00:00, 32.94it/s]
                                                            
/opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:950: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v88-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v88-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:778: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v88-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v88-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.
mistralai-mixtral-8x7b-3473-v88-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v88-mkmlizer: 
Downloading shards:   0%|          | 0/2 [00:00<?, ?it/s]
Downloading shards:  50%|█████     | 1/2 [00:06<00:06,  6.04s/it]
Downloading shards: 100%|██████████| 2/2 [00:08<00:00,  3.79s/it]
Downloading shards: 100%|██████████| 2/2 [00:08<00:00,  4.13s/it]
mistralai-mixtral-8x7b-3473-v88-mkmlizer: 
Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards:  50%|█████     | 1/2 [00:00<00:00,  1.86it/s]
Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  3.08it/s]
Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  2.80it/s]
mistralai-mixtral-8x7b-3473-v88-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v88-mkmlizer: Saving duration: 1.647s
mistralai-mixtral-8x7b-3473-v88-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.668s
mistralai-mixtral-8x7b-3473-v88-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v88-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v88-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v88_reward
mistralai-mixtral-8x7b-3473-v88-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v88_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v88-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v88_reward/config.json
mistralai-mixtral-8x7b-3473-v88-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v88_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v88-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v88_reward/merges.txt
mistralai-mixtral-8x7b-3473-v88-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v88_reward/vocab.json
mistralai-mixtral-8x7b-3473-v88-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v88_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v88-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v88_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v88-mkmlizer completed after 369.61s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v88-mkmlizer
Pipeline stage MKMLizer completed in 370.38s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
%s, retrying in %s seconds...
%s, retrying in %s seconds...
DeploymentError("No matches found for {'api_version': 'serving.kserve.io/v1beta1', 'kind': 'InferenceService'}")
mistralai-mixtral-8x7b-_3473_v88 status is now failed due to DeploymentManager action
admin requested tearing down of mistralai-mixtral-8x7b-_3473_v88
Running pipeline stage ISVCDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage ISVCDeleter completed in 0.16s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v88/config.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v88/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v88/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v88/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v88/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v88/flywheel_model.4.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v88/flywheel_model.5.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v88/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v88/tokenizer.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v88/tokenizer.model from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v88/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v88_reward/config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v88_reward/merges.txt from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v88_reward/reward.tensors from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v88_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v88_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v88_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v88_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 4.39s
mistralai-mixtral-8x7b-_3473_v88 status is now torndown due to DeploymentManager action