submission_id: cgato-chaispice-7b-ft-v0-2_v2
developer_uid: c.gato
status: torndown
model_repo: cgato/ChaiSpice-7b-FT-v0.2
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
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'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\nRespond in a single line.\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-04-07T00:42:39+00:00
model_name: cgato-chaispice-7b-ft-v0-2_v2
model_eval_status: success
model_group: cgato/ChaiSpice-7b-FT-v0
num_battles: 130369
num_wins: 68035
celo_rating: 1175.02
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cgato-chaispice-7b-ft-v0-2_v2
ineligible_reason: propriety_total_count < 800
language_model: cgato/ChaiSpice-7b-FT-v0.2
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-06
win_ratio: 0.5218648605113179
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-chaispice-7b-ft-v0-2-v2-mkmlizer
Waiting for job on cgato-chaispice-7b-ft-v0-2-v2-mkmlizer to finish
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: ║ _____ __ __ ║
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: ║ /___/ ║
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: ║ ║
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: ║ Version: 0.6.11 ║
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: ║ ║
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: ║ belonging to: ║
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: ║ ║
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: ║ Chai Research Corp. ║
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: ║ ║
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 20.1MB/s]
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: README.md: 0%| | 0.00/30.0 [00:00<?, ?B/s] README.md: 100%|██████████| 30.0/30.0 [00:00<00:00, 413kB/s]
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: config.json: 0%| | 0.00/653 [00:00<?, ?B/s] config.json: 100%|██████████| 653/653 [00:00<00:00, 5.46MB/s]
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: generation_config.json: 0%| | 0.00/137 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 137/137 [00:00<00:00, 1.12MB/s]
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: model-00002-of-00003.safetensors: 0%| | 0.00/5.00G [00:00<?, ?B/s] model-00002-of-00003.safetensors: 0%| | 10.5M/5.00G [00:00<00:56, 88.2MB/s] model-00002-of-00003.safetensors: 2%|▏ | 94.4M/5.00G [00:00<00:11, 426MB/s] model-00002-of-00003.safetensors: 4%|▍ | 189M/5.00G [00:00<00:07, 620MB/s] model-00002-of-00003.safetensors: 6%|▌ | 294M/5.00G [00:00<00:06, 774MB/s] model-00002-of-00003.safetensors: 8%|▊ | 388M/5.00G [00:00<00:05, 817MB/s] model-00002-of-00003.safetensors: 12%|█▏ | 587M/5.00G [00:00<00:03, 1.19GB/s] model-00002-of-00003.safetensors: 18%|█▊ | 891M/5.00G [00:00<00:02, 1.77GB/s] model-00002-of-00003.safetensors: 22%|██▏ | 1.08G/5.00G [00:00<00:02, 1.76GB/s] model-00002-of-00003.safetensors: 25%|██▌ | 1.26G/5.00G [00:01<00:02, 1.47GB/s] model-00002-of-00003.safetensors: 35%|███▌ | 1.77G/5.00G [00:01<00:01, 2.43GB/s] model-00002-of-00003.safetensors: 41%|████▏ | 2.07G/5.00G [00:01<00:01, 2.56GB/s] model-00002-of-00003.safetensors: 47%|████▋ | 2.34G/5.00G [00:01<00:01, 2.41GB/s] model-00002-of-00003.safetensors: 52%|█████▏ | 2.60G/5.00G [00:01<00:01, 1.21GB/s] model-00002-of-00003.safetensors: 56%|█████▌ | 2.80G/5.00G [00:02<00:01, 1.24GB/s] model-00002-of-00003.safetensors: 60%|█████▉ | 2.98G/5.00G [00:02<00:01, 1.13GB/s] model-00002-of-00003.safetensors: 63%|██████▎ | 3.15G/5.00G [00:02<00:01, 1.22GB/s] model-00002-of-00003.safetensors: 66%|██████▌ | 3.30G/5.00G [00:02<00:01, 1.17GB/s] model-00002-of-00003.safetensors: 70%|██████▉ | 3.49G/5.00G [00:02<00:01, 1.31GB/s] model-00002-of-00003.safetensors: 73%|███████▎ | 3.66G/5.00G [00:02<00:00, 1.39GB/s] model-00002-of-00003.safetensors: 76%|███████▋ | 3.82G/5.00G [00:02<00:00, 1.31GB/s] model-00002-of-00003.safetensors: 79%|███████▉ | 3.96G/5.00G [00:02<00:00, 1.29GB/s] model-00002-of-00003.safetensors: 82%|████████▏ | 4.11G/5.00G [00:03<00:00, 1.12GB/s] model-00002-of-00003.safetensors: 85%|████████▍ | 4.24G/5.00G [00:03<00:00, 999MB/s] model-00002-of-00003.safetensors: 87%|████████▋ | 4.35G/5.00G [00:03<00:00, 1.02GB/s] model-00002-of-00003.safetensors: 100%|█████████▉| 5.00G/5.00G [00:03<00:00, 1.43GB/s]
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: model-00003-of-00003.safetensors: 0%| | 0.00/4.54G [00:00<?, ?B/s] model-00003-of-00003.safetensors: 0%| | 10.5M/4.54G [00:00<01:01, 73.4MB/s] model-00003-of-00003.safetensors: 3%|▎ | 126M/4.54G [00:00<00:07, 567MB/s] model-00003-of-00003.safetensors: 5%|▌ | 231M/4.54G [00:00<00:06, 674MB/s] model-00003-of-00003.safetensors: 8%|▊ | 357M/4.54G [00:00<00:04, 848MB/s] model-00003-of-00003.safetensors: 12%|█▏ | 535M/4.54G [00:00<00:03, 1.07GB/s] model-00003-of-00003.safetensors: 15%|█▍ | 661M/4.54G [00:00<00:03, 1.11GB/s] model-00003-of-00003.safetensors: 22%|██▏ | 996M/4.54G [00:00<00:02, 1.75GB/s] model-00003-of-00003.safetensors: 29%|██▉ | 1.33G/4.54G [00:00<00:01, 2.21GB/s] model-00003-of-00003.safetensors: 34%|███▍ | 1.56G/4.54G [00:01<00:01, 2.15GB/s] model-00003-of-00003.safetensors: 41%|████ | 1.85G/4.54G [00:01<00:01, 2.34GB/s] model-00003-of-00003.safetensors: 50%|████▉ | 2.25G/4.54G [00:01<00:00, 2.82GB/s] model-00003-of-00003.safetensors: 56%|█████▌ | 2.55G/4.54G [00:01<00:00, 2.78GB/s] model-00003-of-00003.safetensors: 62%|██████▏ | 2.83G/4.54G [00:01<00:01, 1.57GB/s] model-00003-of-00003.safetensors: 67%|██████▋ | 3.05G/4.54G [00:02<00:02, 634MB/s] model-00003-of-00003.safetensors: 71%|███████ | 3.22G/4.54G [00:03<00:02, 573MB/s] model-00003-of-00003.safetensors: 74%|███████▎ | 3.34G/4.54G [00:03<00:01, 604MB/s] model-00003-of-00003.safetensors: 78%|███████▊ | 3.52G/4.54G [00:03<00:01, 711MB/s] model-00003-of-00003.safetensors: 81%|████████ | 3.66G/4.54G [00:03<00:01, 758MB/s] model-00003-of-00003.safetensors: 83%|████████▎ | 3.78G/4.54G [00:03<00:00, 804MB/s] model-00003-of-00003.safetensors: 86%|████████▌ | 3.89G/4.54G [00:03<00:00, 753MB/s] model-00003-of-00003.safetensors: 91%|█████████▏| 4.15G/4.54G [00:03<00:00, 1.04GB/s] model-00003-of-00003.safetensors: 98%|█████████▊| 4.44G/4.54G [00:04<00:00, 1.39GB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 4.54G/4.54G [00:04<00:00, 1.10GB/s]
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: model.safetensors.index.json: 0%| | 0.00/23.9k [00:00<?, ?B/s] model.safetensors.index.json: 100%|██████████| 23.9k/23.9k [00:00<00:00, 182MB/s]
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: special_tokens_map.json: 0%| | 0.00/437 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 437/437 [00:00<00:00, 3.55MB/s]
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 16.9MB/s]
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: tokenizer_config.json: 0%| | 0.00/982 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 982/982 [00:00<00:00, 16.2MB/s]
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: Downloaded to shared memory in 14.142s
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: Reading /tmp/tmpriufwz9o/model.safetensors.index.json
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:11, 1.28s/it] Profiling: 7%|▋ | 20/291 [00:01<00:13, 19.65it/s] Profiling: 13%|█▎ | 38/291 [00:01<00:06, 39.62it/s] Profiling: 22%|██▏ | 63/291 [00:01<00:03, 70.64it/s] Profiling: 28%|██▊ | 82/291 [00:01<00:02, 91.58it/s] Profiling: 35%|███▍ | 101/291 [00:02<00:02, 75.12it/s] Profiling: 41%|████ | 120/291 [00:02<00:01, 93.28it/s] Profiling: 48%|████▊ | 139/291 [00:02<00:01, 109.94it/s] Profiling: 55%|█████▍ | 160/291 [00:02<00:01, 130.66it/s] Profiling: 63%|██████▎ | 183/291 [00:02<00:00, 151.91it/s] Profiling: 70%|███████ | 204/291 [00:04<00:02, 35.56it/s] Profiling: 76%|███████▌ | 220/291 [00:04<00:01, 43.82it/s] Profiling: 82%|████████▏ | 239/291 [00:04<00:00, 56.54it/s] Profiling: 88%|████████▊ | 257/291 [00:04<00:00, 70.34it/s] Profiling: 95%|█████████▍| 276/291 [00:04<00:00, 85.78it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 61.22it/s]
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: quantized model in 15.291s
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: Processed model cgato/ChaiSpice-7b-FT-v0.2 in 30.259s
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-2-v2
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-2-v2/config.json
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-2-v2/special_tokens_map.json
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-2-v2/tokenizer_config.json
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-2-v2/tokenizer.model
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-2-v2/tokenizer.json
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-2-v2/mkml_model.tensors
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1067: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: warnings.warn(
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 11.5MB/s]
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:690: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: warnings.warn(
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 3.38MB/s]
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 43.4MB/s]
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 21.0MB/s]
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: warnings.warn(
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:07, 184MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:00<00:08, 173MB/s] pytorch_model.bin: 9%|▉ | 136M/1.44G [00:00<00:02, 481MB/s] pytorch_model.bin: 15%|█▌ | 220M/1.44G [00:00<00:02, 596MB/s] pytorch_model.bin: 20%|█▉ | 283M/1.44G [00:00<00:02, 539MB/s] pytorch_model.bin: 26%|██▌ | 377M/1.44G [00:00<00:01, 643MB/s] pytorch_model.bin: 35%|███▍ | 503M/1.44G [00:00<00:01, 816MB/s] pytorch_model.bin: 53%|█████▎ | 765M/1.44G [00:00<00:00, 1.33GB/s] pytorch_model.bin: 93%|█████████▎| 1.34G/1.44G [00:01<00:00, 2.63GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:05<00:00, 281MB/s]
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: Saving duration: 0.228s
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 8.299s
cgato-chaispice-7b-ft-v0-2-v2-mkmlizer: creating bucket guanaco-reward-models
Job cgato-chaispice-7b-ft-v0-2-v2-mkmlizer completed after 63.54s with status: succeeded
Stopping job with name cgato-chaispice-7b-ft-v0-2-v2-mkmlizer
Pipeline stage MKMLizer completed in 68.22s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cgato-chaispice-7b-ft-v0-2-v2
Waiting for inference service cgato-chaispice-7b-ft-v0-2-v2 to be ready
Inference service cgato-chaispice-7b-ft-v0-2-v2 ready after 40.250529289245605s
Pipeline stage ISVCDeployer completed in 48.06s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.702406883239746s
Received healthy response to inference request in 1.1796133518218994s
Received healthy response to inference request in 1.1878538131713867s
Received healthy response to inference request in 1.4481444358825684s
Received healthy response to inference request in 1.1782867908477783s
5 requests
0 failed requests
5th percentile: 1.1785521030426025
10th percentile: 1.1788174152374267
20th percentile: 1.1793480396270752
30th percentile: 1.1812614440917968
40th percentile: 1.1845576286315918
50th percentile: 1.1878538131713867
60th percentile: 1.2919700622558594
70th percentile: 1.396086311340332
80th percentile: 1.4989969253540039
90th percentile: 1.600701904296875
95th percentile: 1.6515543937683106
99th percentile: 1.692236385345459
mean time: 1.3392610549926758
Pipeline stage StressChecker completed in 7.43s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
Running M-Eval for topic stay_in_character
cgato-chaispice-7b-ft-v0-2_v2 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
cgato-chaispice-7b-ft-v0-2_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-chaispice-7b-ft-v0-2_v2
Running pipeline stage ISVCDeleter
Checking if service cgato-chaispice-7b-ft-v0-2-v2 is running
Tearing down inference service cgato-chaispice-7b-ft-v0-2-v2
Toredown service cgato-chaispice-7b-ft-v0-2-v2
Pipeline stage ISVCDeleter completed in 8.60s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-chaispice-7b-ft-v0-2-v2/config.json from bucket guanaco-mkml-models
Deleting key cgato-chaispice-7b-ft-v0-2-v2/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-chaispice-7b-ft-v0-2-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-chaispice-7b-ft-v0-2-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-chaispice-7b-ft-v0-2-v2/tokenizer.model from bucket guanaco-mkml-models
Deleting key cgato-chaispice-7b-ft-v0-2-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-chaispice-7b-ft-v0-2-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-chaispice-7b-ft-v0-2-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-chaispice-7b-ft-v0-2-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-chaispice-7b-ft-v0-2-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-chaispice-7b-ft-v0-2-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-chaispice-7b-ft-v0-2-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-chaispice-7b-ft-v0-2-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.81s
cgato-chaispice-7b-ft-v0-2_v2 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics