submission_id: cgato-thespice-7b-ft-chi_4564_v1
developer_uid: c.gato
status: torndown
model_repo: cgato/TheSpice-7b-FT-ChiliOil-OT
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}\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: 2024-04-01T10:49:49+00:00
model_name: cgato-thespice-7b-ft-chi_4564_v1
model_eval_status: success
model_group: cgato/TheSpice-7b-FT-Chi
num_battles: 5320
num_wins: 2813
celo_rating: 1178.04
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-thespice-7b-ft-chi_4564_v1
ineligible_reason: propriety_total_count < 800
language_model: cgato/TheSpice-7b-FT-ChiliOil-OT
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-01
win_ratio: 0.5287593984962407
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-ft-chi-4564-v1-mkmlizer
Waiting for job on cgato-thespice-7b-ft-chi-4564-v1-mkmlizer to finish
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: ║ _____ __ __ ║
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: ║ /___/ ║
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: ║ ║
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: ║ ║
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: ║ belonging to: ║
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: ║ ║
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: ║ ║
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 11.6MB/s]
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: README.md: 0%| | 0.00/30.0 [00:00<?, ?B/s] README.md: 100%|██████████| 30.0/30.0 [00:00<00:00, 367kB/s]
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: config.json: 0%| | 0.00/653 [00:00<?, ?B/s] config.json: 100%|██████████| 653/653 [00:00<00:00, 8.43MB/s]
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: generation_config.json: 0%| | 0.00/137 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 137/137 [00:00<00:00, 1.17MB/s]
cgato-thespice-7b-ft-chi-4564-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<08:03, 10.2MB/s] model-00001-of-00003.safetensors: 1%| | 31.5M/4.94G [00:01<03:21, 24.3MB/s] model-00001-of-00003.safetensors: 3%|▎ | 126M/4.94G [00:01<00:40, 118MB/s] model-00001-of-00003.safetensors: 3%|▎ | 157M/4.94G [00:01<00:36, 130MB/s] model-00001-of-00003.safetensors: 4%|▍ | 199M/4.94G [00:01<00:29, 163MB/s] model-00001-of-00003.safetensors: 5%|▍ | 231M/4.94G [00:02<00:25, 184MB/s] model-00001-of-00003.safetensors: 6%|▌ | 283M/4.94G [00:02<00:19, 245MB/s] model-00001-of-00003.safetensors: 7%|▋ | 357M/4.94G [00:02<00:13, 329MB/s] model-00001-of-00003.safetensors: 8%|▊ | 409M/4.94G [00:02<00:15, 294MB/s] model-00001-of-00003.safetensors: 9%|▉ | 451M/4.94G [00:02<00:14, 310MB/s] model-00001-of-00003.safetensors: 11%|█▏ | 566M/4.94G [00:02<00:08, 487MB/s] model-00001-of-00003.safetensors: 26%|██▌ | 1.27G/4.94G [00:02<00:01, 2.01GB/s] model-00001-of-00003.safetensors: 31%|███ | 1.53G/4.94G [00:03<00:03, 896MB/s] model-00001-of-00003.safetensors: 35%|███▍ | 1.72G/4.94G [00:04<00:04, 651MB/s] model-00001-of-00003.safetensors: 38%|███▊ | 1.87G/4.94G [00:04<00:04, 649MB/s] model-00001-of-00003.safetensors: 40%|████ | 1.99G/4.94G [00:04<00:04, 688MB/s] model-00001-of-00003.safetensors: 46%|████▌ | 2.25G/4.94G [00:04<00:02, 941MB/s] model-00001-of-00003.safetensors: 52%|█████▏ | 2.59G/4.94G [00:04<00:01, 1.33GB/s] model-00001-of-00003.safetensors: 59%|█████▉ | 2.93G/4.94G [00:05<00:01, 1.07GB/s] model-00001-of-00003.safetensors: 63%|██████▎ | 3.09G/4.94G [00:05<00:02, 752MB/s] model-00001-of-00003.safetensors: 65%|██████▌ | 3.23G/4.94G [00:05<00:02, 739MB/s] model-00001-of-00003.safetensors: 68%|██████▊ | 3.36G/4.94G [00:05<00:01, 796MB/s] model-00001-of-00003.safetensors: 70%|███████ | 3.48G/4.94G [00:05<00:01, 866MB/s] model-00001-of-00003.safetensors: 73%|███████▎ | 3.62G/4.94G [00:06<00:01, 946MB/s] model-00001-of-00003.safetensors: 79%|███████▉ | 3.92G/4.94G [00:06<00:00, 1.37GB/s] model-00001-of-00003.safetensors: 83%|████████▎ | 4.10G/4.94G [00:06<00:00, 968MB/s] model-00001-of-00003.safetensors: 86%|████████▌ | 4.25G/4.94G [00:06<00:00, 916MB/s] model-00001-of-00003.safetensors: 89%|████████▉ | 4.40G/4.94G [00:06<00:00, 1.01GB/s] model-00001-of-00003.safetensors: 92%|█████████▏| 4.53G/4.94G [00:06<00:00, 902MB/s] model-00001-of-00003.safetensors: 94%|█████████▍| 4.65G/4.94G [00:07<00:00, 948MB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:07<00:00, 694MB/s]
cgato-thespice-7b-ft-chi-4564-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 [00:00<04:01, 18.8MB/s] model-00003-of-00003.safetensors: 0%| | 21.0M/4.54G [00:01<03:58, 18.9MB/s] model-00003-of-00003.safetensors: 2%|▏ | 73.4M/4.54G [00:01<00:53, 83.4MB/s] model-00003-of-00003.safetensors: 3%|▎ | 147M/4.54G [00:01<00:23, 184MB/s] model-00003-of-00003.safetensors: 6%|▋ | 294M/4.54G [00:01<00:11, 380MB/s] model-00003-of-00003.safetensors: 8%|▊ | 357M/4.54G [00:01<00:13, 303MB/s] model-00003-of-00003.safetensors: 10%|▉ | 451M/4.54G [00:01<00:10, 394MB/s] model-00003-of-00003.safetensors: 11%|█▏ | 514M/4.54G [00:02<00:10, 388MB/s] model-00003-of-00003.safetensors: 13%|█▎ | 587M/4.54G [00:02<00:08, 446MB/s] model-00003-of-00003.safetensors: 16%|█▌ | 734M/4.54G [00:02<00:05, 652MB/s] model-00003-of-00003.safetensors: 30%|███ | 1.38G/4.54G [00:02<00:01, 1.96GB/s] model-00003-of-00003.safetensors: 36%|███▌ | 1.64G/4.54G [00:03<00:03, 899MB/s] model-00003-of-00003.safetensors: 40%|████ | 1.82G/4.54G [00:03<00:03, 764MB/s] model-00003-of-00003.safetensors: 43%|████▎ | 1.97G/4.54G [00:03<00:03, 672MB/s] model-00003-of-00003.safetensors: 47%|████▋ | 2.15G/4.54G [00:03<00:03, 796MB/s] model-00003-of-00003.safetensors: 55%|█████▍ | 2.50G/4.54G [00:03<00:01, 1.18GB/s] model-00003-of-00003.safetensors: 65%|██████▍ | 2.94G/4.54G [00:04<00:00, 1.73GB/s] model-00003-of-00003.safetensors: 71%|███████ | 3.21G/4.54G [00:04<00:01, 775MB/s] model-00003-of-00003.safetensors: 75%|███████▌ | 3.41G/4.54G [00:05<00:01, 795MB/s] model-00003-of-00003.safetensors: 79%|███████▊ | 3.58G/4.54G [00:05<00:01, 822MB/s] model-00003-of-00003.safetensors: 82%|████████▏ | 3.73G/4.54G [00:05<00:00, 917MB/s] model-00003-of-00003.safetensors: 91%|█████████ | 4.11G/4.54G [00:05<00:00, 1.36GB/s] model-00003-of-00003.safetensors: 95%|█████████▌| 4.33G/4.54G [00:05<00:00, 1.33GB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 4.54G/4.54G [00:05<00:00, 773MB/s]
cgato-thespice-7b-ft-chi-4564-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, 24.8MB/s]
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: special_tokens_map.json: 0%| | 0.00/437 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 437/437 [00:00<00:00, 6.74MB/s]
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 15.4MB/s]
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/982 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 982/982 [00:00<00:00, 13.3MB/s]
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: Downloaded to shared memory in 21.287s
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: Reading /tmp/tmprv36n1mm/model.safetensors.index.json
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:45, 1.40s/it] Profiling: 4%|▍ | 13/291 [00:01<00:23, 11.69it/s] Profiling: 9%|▉ | 27/291 [00:01<00:09, 26.60it/s] Profiling: 13%|█▎ | 39/291 [00:01<00:06, 39.88it/s] Profiling: 19%|█▉ | 55/291 [00:01<00:03, 59.21it/s] Profiling: 25%|██▍ | 72/291 [00:01<00:02, 78.11it/s] Profiling: 30%|██▉ | 86/291 [00:02<00:02, 89.25it/s] Profiling: 34%|███▍ | 99/291 [00:02<00:03, 58.14it/s] Profiling: 39%|███▉ | 113/291 [00:02<00:02, 69.47it/s] Profiling: 45%|████▍ | 130/291 [00:02<00:01, 86.33it/s] Profiling: 51%|█████ | 147/291 [00:02<00:01, 101.45it/s] Profiling: 55%|█████▌ | 161/291 [00:02<00:01, 108.52it/s] Profiling: 60%|██████ | 175/291 [00:02<00:01, 115.32it/s] Profiling: 66%|██████▌ | 192/291 [00:03<00:00, 125.74it/s] Profiling: 71%|███████ | 206/291 [00:04<00:03, 24.60it/s] Profiling: 74%|███████▍ | 216/291 [00:04<00:02, 29.54it/s] Profiling: 79%|███████▉ | 230/291 [00:05<00:01, 38.67it/s] Profiling: 84%|████████▍ | 245/291 [00:05<00:00, 50.67it/s] Profiling: 88%|████████▊ | 257/291 [00:05<00:00, 59.76it/s] Profiling: 94%|█████████▍| 274/291 [00:05<00:00, 76.24it/s] Profiling: 99%|█████████▉| 288/291 [00:05<00:00, 87.39it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 50.77it/s]
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: quantized model in 17.242s
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: Processed model cgato/TheSpice-7b-FT-ChiliOil-OT in 39.770s
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-ft-chi-4564-v1
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-chi-4564-v1/tokenizer_config.json
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-ft-chi-4564-v1/tokenizer.model
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-chi-4564-v1/special_tokens_map.json
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-chi-4564-v1/config.json
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-chi-4564-v1/tokenizer.json
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-ft-chi-4564-v1/mkml_model.tensors
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-7b-ft-chi-4564-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.
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: warnings.warn(
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 7.10MB/s]
cgato-thespice-7b-ft-chi-4564-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.
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: warnings.warn(
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 1.90MB/s]
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 23.5MB/s]
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:28, 50.5MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:21, 66.8MB/s] pytorch_model.bin: 2%|▏ | 31.5M/1.44G [00:00<00:17, 79.9MB/s] pytorch_model.bin: 6%|▌ | 83.9M/1.44G [00:00<00:06, 224MB/s] pytorch_model.bin: 16%|█▌ | 231M/1.44G [00:00<00:02, 606MB/s] pytorch_model.bin: 21%|██ | 304M/1.44G [00:00<00:02, 564MB/s] pytorch_model.bin: 25%|██▌ | 367M/1.44G [00:00<00:02, 533MB/s] pytorch_model.bin: 36%|███▌ | 514M/1.44G [00:01<00:01, 781MB/s] pytorch_model.bin: 42%|████▏ | 608M/1.44G [00:01<00:01, 694MB/s] pytorch_model.bin: 49%|████▊ | 703M/1.44G [00:01<00:01, 708MB/s] pytorch_model.bin: 55%|█████▍ | 794M/1.44G [00:01<00:00, 730MB/s] pytorch_model.bin: 68%|██████▊ | 983M/1.44G [00:01<00:00, 1.01GB/s] pytorch_model.bin: 92%|█████████▏| 1.33G/1.44G [00:01<00:00, 1.64GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:02<00:00, 631MB/s]
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: Saving duration: 0.308s
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.902s
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-ft-chi-4564-v1_reward
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-ft-chi-4564-v1_reward/config.json
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-ft-chi-4564-v1_reward/special_tokens_map.json
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-ft-chi-4564-v1_reward/vocab.json
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-ft-chi-4564-v1_reward/tokenizer_config.json
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-ft-chi-4564-v1_reward/merges.txt
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-ft-chi-4564-v1_reward/tokenizer.json
cgato-thespice-7b-ft-chi-4564-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-7b-ft-chi-4564-v1_reward/reward.tensors
Job cgato-thespice-7b-ft-chi-4564-v1-mkmlizer completed after 74.48s with status: succeeded
Stopping job with name cgato-thespice-7b-ft-chi-4564-v1-mkmlizer
Pipeline stage MKMLizer completed in 79.55s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-ft-chi-4564-v1
Waiting for inference service cgato-thespice-7b-ft-chi-4564-v1 to be ready
Inference service cgato-thespice-7b-ft-chi-4564-v1 ready after 40.19993281364441s
Pipeline stage ISVCDeployer completed in 48.84s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.6413064002990723s
Received healthy response to inference request in 1.20857834815979s
Received healthy response to inference request in 1.1846778392791748s
Received healthy response to inference request in 1.1717801094055176s
Received healthy response to inference request in 1.185333490371704s
5 requests
0 failed requests
5th percentile: 1.1743596553802491
10th percentile: 1.1769392013549804
20th percentile: 1.1820982933044433
30th percentile: 1.1848089694976807
40th percentile: 1.1850712299346924
50th percentile: 1.185333490371704
60th percentile: 1.1946314334869386
70th percentile: 1.2039293766021728
80th percentile: 1.2951239585876466
90th percentile: 1.4682151794433593
95th percentile: 1.5547607898712157
99th percentile: 1.623997278213501
mean time: 1.2783352375030517
Pipeline stage StressChecker completed in 7.20s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.08s
cgato-thespice-7b-ft-chi_4564_v1 status is now deployed due to DeploymentManager action
cgato-thespice-7b-ft-chi_4564_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-thespice-7b-ft-chi_4564_v1
Running pipeline stage ISVCDeleter
Checking if service cgato-thespice-7b-ft-chi-4564-v1 is running
Tearing down inference service cgato-thespice-7b-ft-chi-4564-v1
Toredown service cgato-thespice-7b-ft-chi-4564-v1
Pipeline stage ISVCDeleter completed in 3.35s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-thespice-7b-ft-chi-4564-v1/config.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-chi-4564-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-chi-4564-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-chi-4564-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-chi-4564-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-chi-4564-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-thespice-7b-ft-chi-4564-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-chi-4564-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-chi-4564-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-chi-4564-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-chi-4564-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-chi-4564-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-chi-4564-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 1.87s
cgato-thespice-7b-ft-chi_4564_v1 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics