submission_id: cgato-thespice-7b-ft-dc1-ot_v5
developer_uid: c.gato
status: torndown
model_repo: cgato/TheSpice-7b-FT-DC1-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 {bot_name} responds in one.\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 {bot_name} gives single line responses.\n{bot_name} gives short responses.\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: 2024-04-16T12:12:23+00:00
model_name: cgato-thespice-7b-ft-dc1-ot_v2
model_eval_status: success
model_group: cgato/TheSpice-7b-FT-DC1
num_battles: 5579
num_wins: 3136
celo_rating: 1188.65
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-dc1-ot_v2
ineligible_reason: propriety_total_count < 800
language_model: cgato/TheSpice-7b-FT-DC1-OT
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-16
win_ratio: 0.562107904642409
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer
Waiting for job on cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer to finish
Stopping job with name cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer
%s, retrying in %s seconds...
Starting job with name cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer
Waiting for job on cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer to finish
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: ║ _____ __ __ ║
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: ║ /___/ ║
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: ║ ║
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: ║ ║
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: ║ belonging to: ║
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: ║ ║
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: ║ ║
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 18.0MB/s]
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: README.md: 0%| | 0.00/30.0 [00:00<?, ?B/s] README.md: 100%|██████████| 30.0/30.0 [00:00<00:00, 232kB/s]
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: config.json: 0%| | 0.00/653 [00:00<?, ?B/s] config.json: 100%|██████████| 653/653 [00:00<00:00, 10.1MB/s]
cgato-thespice-7b-ft-dc1-ot-v5-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-dc1-ot-v5-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 [00:00<03:47, 21.6MB/s] model-00001-of-00003.safetensors: 0%| | 21.0M/4.94G [00:00<02:30, 32.6MB/s] model-00001-of-00003.safetensors: 1%| | 31.5M/4.94G [00:01<04:13, 19.4MB/s] model-00001-of-00003.safetensors: 1%| | 41.9M/4.94G [00:01<03:29, 23.4MB/s] model-00001-of-00003.safetensors: 1%| | 52.4M/4.94G [00:02<02:50, 28.7MB/s] model-00001-of-00003.safetensors: 1%|▏ | 62.9M/4.94G [00:02<02:30, 32.4MB/s] model-00001-of-00003.safetensors: 2%|▏ | 83.9M/4.94G [00:02<01:28, 55.2MB/s] model-00001-of-00003.safetensors: 4%|▍ | 210M/4.94G [00:02<00:19, 241MB/s] model-00001-of-00003.safetensors: 5%|▌ | 262M/4.94G [00:02<00:22, 209MB/s] model-00001-of-00003.safetensors: 6%|▌ | 304M/4.94G [00:03<00:22, 202MB/s] model-00001-of-00003.safetensors: 9%|▉ | 461M/4.94G [00:03<00:10, 412MB/s] model-00001-of-00003.safetensors: 18%|█▊ | 881M/4.94G [00:03<00:03, 1.10GB/s] model-00001-of-00003.safetensors: 28%|██▊ | 1.36G/4.94G [00:03<00:02, 1.79GB/s] model-00001-of-00003.safetensors: 32%|███▏ | 1.60G/4.94G [00:04<00:05, 620MB/s] model-00001-of-00003.safetensors: 36%|███▌ | 1.78G/4.94G [00:04<00:05, 623MB/s] model-00001-of-00003.safetensors: 39%|███▉ | 1.93G/4.94G [00:04<00:04, 677MB/s] model-00001-of-00003.safetensors: 43%|████▎ | 2.12G/4.94G [00:04<00:03, 822MB/s] model-00001-of-00003.safetensors: 49%|████▉ | 2.44G/4.94G [00:05<00:02, 1.18GB/s] model-00001-of-00003.safetensors: 53%|█████▎ | 2.64G/4.94G [00:05<00:01, 1.23GB/s] model-00001-of-00003.safetensors: 59%|█████▉ | 2.93G/4.94G [00:05<00:01, 1.46GB/s] model-00001-of-00003.safetensors: 63%|██████▎ | 3.12G/4.94G [00:05<00:02, 830MB/s] model-00001-of-00003.safetensors: 66%|██████▋ | 3.28G/4.94G [00:06<00:02, 777MB/s] model-00001-of-00003.safetensors: 71%|███████ | 3.49G/4.94G [00:06<00:01, 956MB/s] model-00001-of-00003.safetensors: 74%|███████▍ | 3.65G/4.94G [00:06<00:01, 870MB/s] model-00001-of-00003.safetensors: 76%|███████▋ | 3.77G/4.94G [00:06<00:01, 908MB/s] model-00001-of-00003.safetensors: 83%|████████▎ | 4.09G/4.94G [00:06<00:00, 1.26GB/s] model-00001-of-00003.safetensors: 86%|████████▌ | 4.26G/4.94G [00:06<00:00, 1.20GB/s] model-00001-of-00003.safetensors: 89%|████████▉ | 4.40G/4.94G [00:06<00:00, 1.13GB/s] model-00001-of-00003.safetensors: 92%|█████████▏| 4.53G/4.94G [00:07<00:00, 1.12GB/s] model-00001-of-00003.safetensors: 94%|█████████▍| 4.66G/4.94G [00:07<00:00, 1.14GB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:07<00:00, 673MB/s]
cgato-thespice-7b-ft-dc1-ot-v5-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 [00:01<11:35, 7.17MB/s] model-00002-of-00003.safetensors: 0%| | 21.0M/5.00G [00:01<05:23, 15.4MB/s] model-00002-of-00003.safetensors: 1%| | 31.5M/5.00G [00:01<03:19, 24.9MB/s] model-00002-of-00003.safetensors: 1%| | 41.9M/5.00G [00:01<02:35, 31.8MB/s] model-00002-of-00003.safetensors: 2%|▏ | 83.9M/5.00G [00:02<00:57, 84.8MB/s] model-00002-of-00003.safetensors: 2%|▏ | 105M/5.00G [00:02<00:48, 101MB/s] model-00002-of-00003.safetensors: 4%|▍ | 220M/5.00G [00:02<00:16, 296MB/s] model-00002-of-00003.safetensors: 6%|▌ | 283M/5.00G [00:02<00:15, 300MB/s] model-00002-of-00003.safetensors: 7%|▋ | 336M/5.00G [00:02<00:16, 283MB/s] model-00002-of-00003.safetensors: 8%|▊ | 398M/5.00G [00:02<00:13, 336MB/s] model-00002-of-00003.safetensors: 12%|█▏ | 587M/5.00G [00:02<00:06, 655MB/s] model-00002-of-00003.safetensors: 22%|██▏ | 1.11G/5.00G [00:02<00:02, 1.68GB/s] model-00002-of-00003.safetensors: 28%|██▊ | 1.38G/5.00G [00:03<00:01, 1.90GB/s] model-00002-of-00003.safetensors: 32%|███▏ | 1.61G/5.00G [00:04<00:06, 542MB/s] model-00002-of-00003.safetensors: 36%|███▌ | 1.78G/5.00G [00:04<00:05, 590MB/s] model-00002-of-00003.safetensors: 39%|███▊ | 1.93G/5.00G [00:04<00:04, 617MB/s] model-00002-of-00003.safetensors: 43%|████▎ | 2.13G/5.00G [00:04<00:03, 775MB/s] model-00002-of-00003.safetensors: 50%|█████ | 2.51G/5.00G [00:04<00:02, 1.21GB/s] model-00002-of-00003.safetensors: 55%|█████▍ | 2.73G/5.00G [00:04<00:01, 1.32GB/s] model-00002-of-00003.safetensors: 59%|█████▊ | 2.93G/5.00G [00:05<00:02, 700MB/s] model-00002-of-00003.safetensors: 62%|██████▏ | 3.08G/5.00G [00:06<00:03, 610MB/s] model-00002-of-00003.safetensors: 65%|██████▍ | 3.24G/5.00G [00:06<00:02, 712MB/s] model-00002-of-00003.safetensors: 67%|██████▋ | 3.37G/5.00G [00:06<00:02, 696MB/s] model-00002-of-00003.safetensors: 70%|███████ | 3.50G/5.00G [00:06<00:01, 788MB/s] model-00002-of-00003.safetensors: 77%|███████▋ | 3.84G/5.00G [00:06<00:00, 1.23GB/s] model-00002-of-00003.safetensors: 81%|████████ | 4.03G/5.00G [00:06<00:00, 1.12GB/s] model-00002-of-00003.safetensors: 84%|████████▎ | 4.18G/5.00G [00:07<00:00, 855MB/s] model-00002-of-00003.safetensors: 86%|████████▌ | 4.31G/5.00G [00:07<00:00, 850MB/s] model-00002-of-00003.safetensors: 89%|████████▊ | 4.42G/5.00G [00:07<00:00, 717MB/s] model-00002-of-00003.safetensors: 90%|█████████ | 4.52G/5.00G [00:07<00:00, 665MB/s] model-00002-of-00003.safetensors: 93%|█████████▎| 4.65G/5.00G [00:07<00:00, 761MB/s] model-00002-of-00003.safetensors: 100%|█████████▉| 5.00G/5.00G [00:07<00:00, 634MB/s]
cgato-thespice-7b-ft-dc1-ot-v5-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<02:23, 31.5MB/s] model-00003-of-00003.safetensors: 0%| | 21.0M/4.54G [00:01<04:01, 18.7MB/s] model-00003-of-00003.safetensors: 1%| | 31.5M/4.54G [00:02<05:22, 14.0MB/s] model-00003-of-00003.safetensors: 1%|▏ | 62.9M/4.54G [00:02<01:59, 37.5MB/s] model-00003-of-00003.safetensors: 3%|▎ | 115M/4.54G [00:02<00:51, 86.3MB/s] model-00003-of-00003.safetensors: 4%|▍ | 189M/4.54G [00:02<00:26, 165MB/s] model-00003-of-00003.safetensors: 6%|▌ | 252M/4.54G [00:02<00:18, 231MB/s] model-00003-of-00003.safetensors: 7%|▋ | 304M/4.54G [00:02<00:17, 241MB/s] model-00003-of-00003.safetensors: 9%|▊ | 388M/4.54G [00:02<00:14, 288MB/s] model-00003-of-00003.safetensors: 12%|█▏ | 535M/4.54G [00:02<00:08, 490MB/s] model-00003-of-00003.safetensors: 24%|██▍ | 1.08G/4.54G [00:03<00:02, 1.43GB/s] model-00003-of-00003.safetensors: 30%|███ | 1.37G/4.54G [00:03<00:02, 1.54GB/s] model-00003-of-00003.safetensors: 35%|███▍ | 1.57G/4.54G [00:04<00:06, 486MB/s] model-00003-of-00003.safetensors: 38%|███▊ | 1.72G/4.54G [00:04<00:05, 513MB/s] model-00003-of-00003.safetensors: 41%|████ | 1.85G/4.54G [00:04<00:05, 507MB/s] model-00003-of-00003.safetensors: 43%|████▎ | 1.96G/4.54G [00:05<00:04, 573MB/s] model-00003-of-00003.safetensors: 53%|█████▎ | 2.42G/4.54G [00:05<00:01, 1.10GB/s] model-00003-of-00003.safetensors: 58%|█████▊ | 2.63G/4.54G [00:05<00:01, 1.24GB/s] model-00003-of-00003.safetensors: 63%|██████▎ | 2.84G/4.54G [00:05<00:01, 1.15GB/s] model-00003-of-00003.safetensors: 67%|██████▋ | 3.02G/4.54G [00:06<00:02, 513MB/s] model-00003-of-00003.safetensors: 69%|██████▉ | 3.15G/4.54G [00:06<00:02, 556MB/s] model-00003-of-00003.safetensors: 72%|███████▏ | 3.26G/4.54G [00:06<00:02, 603MB/s] model-00003-of-00003.safetensors: 74%|███████▍ | 3.38G/4.54G [00:06<00:01, 675MB/s] model-00003-of-00003.safetensors: 77%|███████▋ | 3.50G/4.54G [00:06<00:01, 757MB/s] model-00003-of-00003.safetensors: 86%|████████▋ | 3.92G/4.54G [00:07<00:00, 1.34GB/s] model-00003-of-00003.safetensors: 91%|█████████ | 4.11G/4.54G [00:07<00:00, 1.15GB/s] model-00003-of-00003.safetensors: 94%|█████████▍| 4.27G/4.54G [00:07<00:00, 1.19GB/s] model-00003-of-00003.safetensors: 97%|█████████▋| 4.41G/4.54G [00:07<00:00, 1.16GB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 4.54G/4.54G [00:07<00:00, 595MB/s]
cgato-thespice-7b-ft-dc1-ot-v5-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, 180MB/s]
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<07:51, 1.63s/it] Profiling: 5%|▍ | 14/291 [00:01<00:25, 10.97it/s] Profiling: 10%|▉ | 29/291 [00:01<00:10, 25.04it/s] Profiling: 16%|█▌ | 46/291 [00:01<00:05, 43.08it/s] Profiling: 22%|██▏ | 63/291 [00:02<00:03, 62.01it/s] Profiling: 26%|██▋ | 77/291 [00:02<00:02, 74.39it/s] Profiling: 32%|███▏ | 92/291 [00:02<00:02, 87.76it/s] Profiling: 36%|███▋ | 106/291 [00:02<00:03, 59.71it/s] Profiling: 42%|████▏ | 121/291 [00:02<00:02, 72.58it/s] Profiling: 47%|████▋ | 138/291 [00:02<00:01, 88.92it/s] Profiling: 52%|█████▏ | 152/291 [00:03<00:01, 98.61it/s] Profiling: 57%|█████▋ | 166/291 [00:03<00:01, 106.95it/s] Profiling: 63%|██████▎ | 183/291 [00:03<00:00, 116.69it/s] Profiling: 68%|██████▊ | 197/291 [00:03<00:00, 122.40it/s] Profiling: 73%|███████▎ | 211/291 [00:05<00:03, 22.51it/s] Profiling: 77%|███████▋ | 225/291 [00:05<00:02, 29.72it/s] Profiling: 82%|████████▏ | 239/291 [00:05<00:01, 38.58it/s] Profiling: 87%|████████▋ | 253/291 [00:05<00:00, 48.98it/s] Profiling: 92%|█████████▏| 267/291 [00:05<00:00, 60.05it/s] Profiling: 97%|█████████▋| 283/291 [00:05<00:00, 74.68it/s] Profiling: 100%|██████████| 291/291 [00:06<00:00, 48.14it/s]
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: quantized model in 17.928s
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: Processed model cgato/TheSpice-7b-FT-DC1-OT in 45.090s
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-ft-dc1-ot-v5
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-dc1-ot-v5/config.json
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-dc1-ot-v5/tokenizer_config.json
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-dc1-ot-v5/special_tokens_map.json
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-dc1-ot-v5/tokenizer.json
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-ft-dc1-ot-v5/tokenizer.model
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-ft-dc1-ot-v5/mkml_model.tensors
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-7b-ft-dc1-ot-v5-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-dc1-ot-v5-mkmlizer: warnings.warn(
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 12.1MB/s]
cgato-thespice-7b-ft-dc1-ot-v5-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-dc1-ot-v5-mkmlizer: warnings.warn(
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 3.17MB/s]
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 33.4MB/s]
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 28.2MB/s]
cgato-thespice-7b-ft-dc1-ot-v5-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-thespice-7b-ft-dc1-ot-v5-mkmlizer: warnings.warn(
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: Saving duration: 0.330s
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.657s
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-ft-dc1-ot-v5_reward
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-ft-dc1-ot-v5_reward/merges.txt
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-ft-dc1-ot-v5_reward/tokenizer_config.json
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-ft-dc1-ot-v5_reward/vocab.json
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-ft-dc1-ot-v5_reward/special_tokens_map.json
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-ft-dc1-ot-v5_reward/config.json
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-ft-dc1-ot-v5_reward/tokenizer.json
cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-7b-ft-dc1-ot-v5_reward/reward.tensors
Job cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer completed after 75.4s with status: succeeded
Stopping job with name cgato-thespice-7b-ft-dc1-ot-v5-mkmlizer
Pipeline stage MKMLizer completed in 81.18s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-ft-dc1-ot-v5
Waiting for inference service cgato-thespice-7b-ft-dc1-ot-v5 to be ready
Inference service cgato-thespice-7b-ft-dc1-ot-v5 ready after 40.275073289871216s
Pipeline stage ISVCDeployer completed in 48.12s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7699201107025146s
Received healthy response to inference request in 1.43687105178833s
Received healthy response to inference request in 1.2954013347625732s
Received healthy response to inference request in 1.187530517578125s
Received healthy response to inference request in 1.195768117904663s
5 requests
0 failed requests
5th percentile: 1.1891780376434327
10th percentile: 1.1908255577087403
20th percentile: 1.1941205978393554
30th percentile: 1.2156947612762452
40th percentile: 1.2555480480194092
50th percentile: 1.2954013347625732
60th percentile: 1.351989221572876
70th percentile: 1.4085771083831786
80th percentile: 1.503480863571167
90th percentile: 1.636700487136841
95th percentile: 1.7033102989196778
99th percentile: 1.7565981483459472
mean time: 1.3770982265472411
Pipeline stage StressChecker completed in 7.73s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.05s
M-Eval Dataset for topic stay_in_character is loaded
cgato-thespice-7b-ft-dc1-ot_v5 status is now deployed due to DeploymentManager action
cgato-thespice-7b-ft-dc1-ot_v5 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-thespice-7b-ft-dc1-ot_v5
Running pipeline stage ISVCDeleter
Checking if service cgato-thespice-7b-ft-dc1-ot-v5 is running
Tearing down inference service cgato-thespice-7b-ft-dc1-ot-v5
Toredown service cgato-thespice-7b-ft-dc1-ot-v5
Pipeline stage ISVCDeleter completed in 3.74s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-thespice-7b-ft-dc1-ot-v5/config.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v5/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v5/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v5/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v5/tokenizer.model from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v5/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-thespice-7b-ft-dc1-ot-v5_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v5_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v5_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v5_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v5_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v5_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v5_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.49s
cgato-thespice-7b-ft-dc1-ot_v5 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics