submission_id: mtsair-multi-verse-model_v1
developer_uid: Meliodia
status: torndown
model_repo: MTSAIR/multi_verse_model
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': 8, 'max_output_tokens': 64}
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}
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: 2024-04-16T05:16:22+00:00
model_name: mtsair-multi-verse-model_v1
model_eval_status: success
model_group: MTSAIR/multi_verse_model
num_battles: 5724
num_wins: 2711
celo_rating: 1126.65
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 8
max_input_tokens: 512
max_output_tokens: 64
display_name: mtsair-multi-verse-model_v1
ineligible_reason: propriety_total_count < 800
language_model: MTSAIR/multi_verse_model
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-15
win_ratio: 0.47361984626135567
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mtsair-multi-verse-model-v1-mkmlizer
Waiting for job on mtsair-multi-verse-model-v1-mkmlizer to finish
mtsair-multi-verse-model-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mtsair-multi-verse-model-v1-mkmlizer: ║ _____ __ __ ║
mtsair-multi-verse-model-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mtsair-multi-verse-model-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mtsair-multi-verse-model-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mtsair-multi-verse-model-v1-mkmlizer: ║ /___/ ║
mtsair-multi-verse-model-v1-mkmlizer: ║ ║
mtsair-multi-verse-model-v1-mkmlizer: ║ Version: 0.6.11 ║
mtsair-multi-verse-model-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mtsair-multi-verse-model-v1-mkmlizer: ║ ║
mtsair-multi-verse-model-v1-mkmlizer: ║ The license key for the current software has been verified as ║
mtsair-multi-verse-model-v1-mkmlizer: ║ belonging to: ║
mtsair-multi-verse-model-v1-mkmlizer: ║ ║
mtsair-multi-verse-model-v1-mkmlizer: ║ Chai Research Corp. ║
mtsair-multi-verse-model-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mtsair-multi-verse-model-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
mtsair-multi-verse-model-v1-mkmlizer: ║ ║
mtsair-multi-verse-model-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mtsair-multi-verse-model-v1-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 17.9MB/s]
mtsair-multi-verse-model-v1-mkmlizer: README.md: 0%| | 0.00/593 [00:00<?, ?B/s] README.md: 100%|██████████| 593/593 [00:00<00:00, 9.83MB/s]
mtsair-multi-verse-model-v1-mkmlizer: config.json: 0%| | 0.00/644 [00:00<?, ?B/s] config.json: 100%|██████████| 644/644 [00:00<00:00, 7.42MB/s]
mtsair-multi-verse-model-v1-mkmlizer: generation_config.json: 0%| | 0.00/116 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 116/116 [00:00<00:00, 993kB/s]
mtsair-multi-verse-model-v1-mkmlizer: model-00001-of-00003.safetensors: 0%| | 0.00/4.94G [00:00<?, ?B/s] model-00001-of-00003.safetensors: 0%| | 10.5M/4.94G [00:01<15:12, 5.41MB/s] model-00001-of-00003.safetensors: 0%| | 21.0M/4.94G [00:03<11:13, 7.31MB/s] model-00001-of-00003.safetensors: 1%|▏ | 62.9M/4.94G [00:03<02:44, 29.6MB/s] model-00001-of-00003.safetensors: 4%|▍ | 210M/4.94G [00:03<00:35, 133MB/s] model-00001-of-00003.safetensors: 6%|▌ | 283M/4.94G [00:03<00:25, 185MB/s] model-00001-of-00003.safetensors: 8%|▊ | 409M/4.94G [00:03<00:14, 304MB/s] model-00001-of-00003.safetensors: 11%|█ | 556M/4.94G [00:03<00:09, 466MB/s] model-00001-of-00003.safetensors: 22%|██▏ | 1.09G/4.94G [00:03<00:03, 1.26GB/s] model-00001-of-00003.safetensors: 27%|██▋ | 1.32G/4.94G [00:04<00:03, 932MB/s] model-00001-of-00003.safetensors: 30%|███ | 1.50G/4.94G [00:04<00:03, 971MB/s] model-00001-of-00003.safetensors: 36%|███▌ | 1.78G/4.94G [00:04<00:02, 1.26GB/s] model-00001-of-00003.safetensors: 40%|███▉ | 1.97G/4.94G [00:04<00:02, 1.37GB/s] model-00001-of-00003.safetensors: 44%|████▎ | 2.16G/4.94G [00:04<00:02, 1.01GB/s] model-00001-of-00003.safetensors: 47%|████▋ | 2.32G/4.94G [00:04<00:02, 1.04GB/s] model-00001-of-00003.safetensors: 50%|████▉ | 2.46G/4.94G [00:05<00:02, 1.05GB/s] model-00001-of-00003.safetensors: 53%|█████▎ | 2.60G/4.94G [00:05<00:02, 967MB/s] model-00001-of-00003.safetensors: 58%|█████▊ | 2.86G/4.94G [00:05<00:01, 1.29GB/s] model-00001-of-00003.safetensors: 61%|██████▏ | 3.03G/4.94G [00:05<00:01, 1.22GB/s] model-00001-of-00003.safetensors: 64%|██████▍ | 3.18G/4.94G [00:05<00:01, 1.23GB/s] model-00001-of-00003.safetensors: 72%|███████▏ | 3.57G/4.94G [00:05<00:00, 1.71GB/s] model-00001-of-00003.safetensors: 76%|███████▌ | 3.76G/4.94G [00:05<00:00, 1.70GB/s] model-00001-of-00003.safetensors: 84%|████████▎ | 4.13G/4.94G [00:05<00:00, 2.17GB/s] model-00001-of-00003.safetensors: 88%|████████▊ | 4.37G/4.94G [00:06<00:00, 2.05GB/s] model-00001-of-00003.safetensors: 93%|█████████▎| 4.59G/4.94G [00:06<00:00, 1.53GB/s] model-00001-of-00003.safetensors: 97%|█████████▋| 4.78G/4.94G [00:06<00:00, 1.38GB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:06<00:00, 743MB/s]
mtsair-multi-verse-model-v1-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 [00:01<13:52, 5.44MB/s] model-00003-of-00003.safetensors: 1%| | 31.5M/4.54G [00:02<04:21, 17.3MB/s] model-00003-of-00003.safetensors: 1%| | 41.9M/4.54G [00:02<03:12, 23.4MB/s] model-00003-of-00003.safetensors: 2%|▏ | 73.4M/4.54G [00:02<01:25, 52.0MB/s] model-00003-of-00003.safetensors: 3%|▎ | 136M/4.54G [00:02<00:35, 122MB/s] model-00003-of-00003.safetensors: 6%|▌ | 252M/4.54G [00:02<00:16, 267MB/s] model-00003-of-00003.safetensors: 10%|█ | 472M/4.54G [00:02<00:06, 583MB/s] model-00003-of-00003.safetensors: 13%|█▎ | 577M/4.54G [00:03<00:06, 573MB/s] model-00003-of-00003.safetensors: 26%|██▌ | 1.18G/4.54G [00:03<00:02, 1.56GB/s] model-00003-of-00003.safetensors: 31%|███ | 1.41G/4.54G [00:03<00:03, 1.01GB/s] model-00003-of-00003.safetensors: 36%|███▌ | 1.64G/4.54G [00:03<00:02, 1.14GB/s] model-00003-of-00003.safetensors: 40%|███▉ | 1.80G/4.54G [00:03<00:02, 1.17GB/s] model-00003-of-00003.safetensors: 43%|████▎ | 1.96G/4.54G [00:04<00:02, 1.04GB/s] model-00003-of-00003.safetensors: 48%|████▊ | 2.16G/4.54G [00:04<00:01, 1.20GB/s] model-00003-of-00003.safetensors: 52%|█████▏ | 2.36G/4.54G [00:04<00:01, 1.33GB/s] model-00003-of-00003.safetensors: 56%|█████▌ | 2.53G/4.54G [00:04<00:01, 1.04GB/s] model-00003-of-00003.safetensors: 65%|██████▍ | 2.94G/4.54G [00:04<00:00, 1.62GB/s] model-00003-of-00003.safetensors: 70%|██████▉ | 3.18G/4.54G [00:04<00:00, 1.79GB/s] model-00003-of-00003.safetensors: 75%|███████▌ | 3.41G/4.54G [00:04<00:00, 1.70GB/s] model-00003-of-00003.safetensors: 80%|████████ | 3.65G/4.54G [00:04<00:00, 1.74GB/s] model-00003-of-00003.safetensors: 85%|████████▍ | 3.85G/4.54G [00:05<00:00, 965MB/s] model-00003-of-00003.safetensors: 88%|████████▊ | 4.01G/4.54G [00:05<00:00, 975MB/s] model-00003-of-00003.safetensors: 92%|█████████▏| 4.16G/4.54G [00:05<00:00, 1.07GB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 4.54G/4.54G [00:05<00:00, 777MB/s]
mtsair-multi-verse-model-v1-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, 125MB/s]
mtsair-multi-verse-model-v1-mkmlizer: special_tokens_map.json: 0%| | 0.00/552 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 552/552 [00:00<00:00, 8.74MB/s]
mtsair-multi-verse-model-v1-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 47.5MB/s]
mtsair-multi-verse-model-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/1.34k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 1.34k/1.34k [00:00<00:00, 20.3MB/s]
mtsair-multi-verse-model-v1-mkmlizer: Downloaded to shared memory in 25.912s
mtsair-multi-verse-model-v1-mkmlizer: quantizing model to /dev/shm/model_cache
mtsair-multi-verse-model-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
mtsair-multi-verse-model-v1-mkmlizer: Reading /tmp/tmpsdyrcp4k/model.safetensors.index.json
mtsair-multi-verse-model-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<07:08, 1.48s/it] Profiling: 4%|▍ | 12/291 [00:01<00:27, 10.17it/s] Profiling: 7%|▋ | 21/291 [00:01<00:14, 18.80it/s] Profiling: 11%|█▏ | 33/291 [00:01<00:07, 32.35it/s] Profiling: 16%|█▌ | 46/291 [00:01<00:05, 47.10it/s] Profiling: 20%|██ | 59/291 [00:02<00:03, 62.23it/s] Profiling: 25%|██▌ | 73/291 [00:02<00:02, 75.59it/s] Profiling: 30%|██▉ | 87/291 [00:02<00:02, 89.35it/s] Profiling: 34%|███▍ | 99/291 [00:02<00:03, 56.60it/s] Profiling: 38%|███▊ | 112/291 [00:02<00:02, 66.83it/s] Profiling: 43%|████▎ | 125/291 [00:02<00:02, 78.25it/s] Profiling: 47%|████▋ | 138/291 [00:02<00:01, 85.23it/s] Profiling: 51%|█████ | 149/291 [00:03<00:01, 84.55it/s] Profiling: 57%|█████▋ | 165/291 [00:03<00:01, 98.58it/s] Profiling: 61%|██████ | 177/291 [00:03<00:01, 96.14it/s] Profiling: 66%|██████▌ | 192/291 [00:03<00:00, 104.62it/s] Profiling: 70%|███████ | 204/291 [00:05<00:04, 21.32it/s] Profiling: 73%|███████▎ | 213/291 [00:05<00:03, 25.36it/s] Profiling: 79%|███████▊ | 229/291 [00:05<00:01, 36.09it/s] Profiling: 82%|████████▏ | 240/291 [00:05<00:01, 42.95it/s] Profiling: 88%|████████▊ | 256/291 [00:05<00:00, 56.89it/s] Profiling: 92%|█████████▏| 267/291 [00:05<00:00, 62.94it/s] Profiling: 97%|█████████▋| 283/291 [00:05<00:00, 77.92it/s] Profiling: 100%|██████████| 291/291 [00:06<00:00, 46.58it/s]
mtsair-multi-verse-model-v1-mkmlizer: quantized model in 19.121s
mtsair-multi-verse-model-v1-mkmlizer: creating bucket guanaco-mkml-models
mtsair-multi-verse-model-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mtsair-multi-verse-model-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mtsair-multi-verse-model-v1
mtsair-multi-verse-model-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mtsair-multi-verse-model-v1/tokenizer_config.json
mtsair-multi-verse-model-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mtsair-multi-verse-model-v1/config.json
mtsair-multi-verse-model-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mtsair-multi-verse-model-v1/tokenizer.json
mtsair-multi-verse-model-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mtsair-multi-verse-model-v1/tokenizer.model
mtsair-multi-verse-model-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mtsair-multi-verse-model-v1/special_tokens_map.json
mtsair-multi-verse-model-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/mtsair-multi-verse-model-v1/mkml_model.tensors
mtsair-multi-verse-model-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
mtsair-multi-verse-model-v1-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.
mtsair-multi-verse-model-v1-mkmlizer: warnings.warn(
mtsair-multi-verse-model-v1-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 8.09MB/s]
mtsair-multi-verse-model-v1-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.
mtsair-multi-verse-model-v1-mkmlizer: warnings.warn(
mtsair-multi-verse-model-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.41MB/s]
mtsair-multi-verse-model-v1-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 3.59MB/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 3.58MB/s]
mtsair-multi-verse-model-v1-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 32.6MB/s]
mtsair-multi-verse-model-v1-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.
mtsair-multi-verse-model-v1-mkmlizer: warnings.warn(
mtsair-multi-verse-model-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:14, 98.1MB/s] pytorch_model.bin: 2%|▏ | 31.5M/1.44G [00:00<00:10, 135MB/s] pytorch_model.bin: 9%|▊ | 126M/1.44G [00:00<00:03, 433MB/s] pytorch_model.bin: 15%|█▍ | 210M/1.44G [00:00<00:02, 559MB/s] pytorch_model.bin: 21%|██ | 304M/1.44G [00:00<00:02, 549MB/s] pytorch_model.bin: 25%|██▌ | 367M/1.44G [00:00<00:01, 553MB/s] pytorch_model.bin: 30%|██▉ | 430M/1.44G [00:00<00:01, 550MB/s] pytorch_model.bin: 39%|███▉ | 566M/1.44G [00:00<00:01, 722MB/s] pytorch_model.bin: 57%|█████▋ | 818M/1.44G [00:01<00:00, 1.19GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:05<00:00, 272MB/s]
mtsair-multi-verse-model-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mtsair-multi-verse-model-v1-mkmlizer: Saving duration: 0.274s
mtsair-multi-verse-model-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 9.284s
mtsair-multi-verse-model-v1-mkmlizer: creating bucket guanaco-reward-models
mtsair-multi-verse-model-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mtsair-multi-verse-model-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mtsair-multi-verse-model-v1_reward
mtsair-multi-verse-model-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mtsair-multi-verse-model-v1_reward/special_tokens_map.json
mtsair-multi-verse-model-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mtsair-multi-verse-model-v1_reward/tokenizer_config.json
mtsair-multi-verse-model-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mtsair-multi-verse-model-v1_reward/config.json
mtsair-multi-verse-model-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mtsair-multi-verse-model-v1_reward/vocab.json
mtsair-multi-verse-model-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mtsair-multi-verse-model-v1_reward/tokenizer.json
mtsair-multi-verse-model-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mtsair-multi-verse-model-v1_reward/merges.txt
mtsair-multi-verse-model-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mtsair-multi-verse-model-v1_reward/reward.tensors
Job mtsair-multi-verse-model-v1-mkmlizer completed after 84.82s with status: succeeded
Stopping job with name mtsair-multi-verse-model-v1-mkmlizer
Pipeline stage MKMLizer completed in 88.57s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service mtsair-multi-verse-model-v1
Waiting for inference service mtsair-multi-verse-model-v1 to be ready
Inference service mtsair-multi-verse-model-v1 ready after 30.1598904132843s
Pipeline stage ISVCDeployer completed in 37.26s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.6322667598724365s
Received healthy response to inference request in 1.4161944389343262s
Received healthy response to inference request in 1.1250648498535156s
Received healthy response to inference request in 1.1074318885803223s
Received healthy response to inference request in 1.105931043624878s
5 requests
0 failed requests
5th percentile: 1.1062312126159668
10th percentile: 1.1065313816070557
20th percentile: 1.1071317195892334
30th percentile: 1.1109584808349608
40th percentile: 1.1180116653442382
50th percentile: 1.1250648498535156
60th percentile: 1.24151668548584
70th percentile: 1.357968521118164
80th percentile: 1.4594089031219484
90th percentile: 1.5458378314971923
95th percentile: 1.5890522956848143
99th percentile: 1.6236238670349121
mean time: 1.2773777961730957
Pipeline stage StressChecker completed in 7.81s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.04s
M-Eval Dataset for topic stay_in_character is loaded
mtsair-multi-verse-model_v1 status is now deployed due to DeploymentManager action
mtsair-multi-verse-model_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of mtsair-multi-verse-model_v1
Running pipeline stage ISVCDeleter
Checking if service mtsair-multi-verse-model-v1 is running
Tearing down inference service mtsair-multi-verse-model-v1
Toredown service mtsair-multi-verse-model-v1
Pipeline stage ISVCDeleter completed in 3.85s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key mtsair-multi-verse-model-v1/config.json from bucket guanaco-mkml-models
Deleting key mtsair-multi-verse-model-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key mtsair-multi-verse-model-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key mtsair-multi-verse-model-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key mtsair-multi-verse-model-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key mtsair-multi-verse-model-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key mtsair-multi-verse-model-v1_reward/config.json from bucket guanaco-reward-models
Deleting key mtsair-multi-verse-model-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key mtsair-multi-verse-model-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key mtsair-multi-verse-model-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key mtsair-multi-verse-model-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key mtsair-multi-verse-model-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key mtsair-multi-verse-model-v1_reward/vocab.json from bucket guanaco-reward-models
admin requested tearing down of nitral-ai-nsm-alpha-7b-v0-2_v1
Pipeline stage MKMLModelDeleter completed in 2.18s
Running pipeline stage ISVCDeleter
mtsair-multi-verse-model_v1 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics