submission_id: cgato-thespice-7b-quick-_5889_v3
developer_uid: c.gato
status: torndown
model_repo: cgato/TheSpice-7b-Quick-v0.1.1
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 70, 'presence_penalty': 0.9, 'frequency_penalty': 0.9, '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 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 {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: 2024-04-15T17:49:54+00:00
model_name: cgato-thespice-7b-quick-_5889_v3
model_eval_status: success
model_group: cgato/TheSpice-7b-Quick-
num_battles: 6162
num_wins: 3391
celo_rating: 1181.54
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-quick-_5889_v3
ineligible_reason: propriety_total_count < 800
language_model: cgato/TheSpice-7b-Quick-v0.1.1
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-15
win_ratio: 0.550308341447582
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-quick-5889-v3-mkmlizer
Waiting for job on cgato-thespice-7b-quick-5889-v3-mkmlizer to finish
cgato-thespice-7b-quick-5889-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-quick-5889-v3-mkmlizer: ║ _____ __ __ ║
cgato-thespice-7b-quick-5889-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-7b-quick-5889-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-7b-quick-5889-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-7b-quick-5889-v3-mkmlizer: ║ /___/ ║
cgato-thespice-7b-quick-5889-v3-mkmlizer: ║ ║
cgato-thespice-7b-quick-5889-v3-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespice-7b-quick-5889-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-7b-quick-5889-v3-mkmlizer: ║ ║
cgato-thespice-7b-quick-5889-v3-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-7b-quick-5889-v3-mkmlizer: ║ belonging to: ║
cgato-thespice-7b-quick-5889-v3-mkmlizer: ║ ║
cgato-thespice-7b-quick-5889-v3-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-7b-quick-5889-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-7b-quick-5889-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thespice-7b-quick-5889-v3-mkmlizer: ║ ║
cgato-thespice-7b-quick-5889-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-thespice-7b-quick-5889-v3-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 13.1MB/s]
cgato-thespice-7b-quick-5889-v3-mkmlizer: README.md: 0%| | 0.00/30.0 [00:00<?, ?B/s] README.md: 100%|██████████| 30.0/30.0 [00:00<00:00, 243kB/s]
cgato-thespice-7b-quick-5889-v3-mkmlizer: config.json: 0%| | 0.00/653 [00:00<?, ?B/s] config.json: 100%|██████████| 653/653 [00:00<00:00, 8.81MB/s]
cgato-thespice-7b-quick-5889-v3-mkmlizer: generation_config.json: 0%| | 0.00/137 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 137/137 [00:00<00:00, 1.36MB/s]
cgato-thespice-7b-quick-5889-v3-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<01:21, 60.9MB/s] model-00001-of-00003.safetensors: 0%| | 21.0M/4.94G [00:00<03:00, 27.2MB/s] model-00001-of-00003.safetensors: 1%|▏ | 73.4M/4.94G [00:00<00:42, 116MB/s] model-00001-of-00003.safetensors: 3%|▎ | 147M/4.94G [00:00<00:20, 234MB/s] model-00001-of-00003.safetensors: 5%|▌ | 252M/4.94G [00:01<00:11, 397MB/s] model-00001-of-00003.safetensors: 7%|▋ | 367M/4.94G [00:01<00:08, 569MB/s] model-00001-of-00003.safetensors: 10%|█ | 514M/4.94G [00:01<00:05, 790MB/s] model-00001-of-00003.safetensors: 14%|█▍ | 703M/4.94G [00:01<00:03, 1.08GB/s] model-00001-of-00003.safetensors: 19%|█▉ | 933M/4.94G [00:01<00:02, 1.38GB/s] model-00001-of-00003.safetensors: 22%|██▏ | 1.09G/4.94G [00:01<00:02, 1.34GB/s] model-00001-of-00003.safetensors: 28%|██▊ | 1.36G/4.94G [00:01<00:02, 1.71GB/s] model-00001-of-00003.safetensors: 34%|███▍ | 1.69G/4.94G [00:01<00:01, 2.13GB/s] model-00001-of-00003.safetensors: 39%|███▉ | 1.92G/4.94G [00:01<00:01, 1.87GB/s] model-00001-of-00003.safetensors: 43%|████▎ | 2.13G/4.94G [00:02<00:02, 1.05GB/s] model-00001-of-00003.safetensors: 46%|████▌ | 2.29G/4.94G [00:02<00:04, 610MB/s] model-00001-of-00003.safetensors: 49%|████▉ | 2.41G/4.94G [00:03<00:04, 549MB/s] model-00001-of-00003.safetensors: 51%|█████ | 2.51G/4.94G [00:03<00:04, 563MB/s] model-00001-of-00003.safetensors: 53%|█████▎ | 2.60G/4.94G [00:03<00:03, 597MB/s] model-00001-of-00003.safetensors: 55%|█████▍ | 2.71G/4.94G [00:03<00:03, 666MB/s] model-00001-of-00003.safetensors: 57%|█████▋ | 2.81G/4.94G [00:03<00:02, 723MB/s] model-00001-of-00003.safetensors: 59%|█████▉ | 2.90G/4.94G [00:03<00:02, 724MB/s] model-00001-of-00003.safetensors: 61%|██████ | 3.00G/4.94G [00:04<00:02, 767MB/s] model-00001-of-00003.safetensors: 63%|██████▎ | 3.09G/4.94G [00:04<00:02, 794MB/s] model-00001-of-00003.safetensors: 65%|██████▌ | 3.23G/4.94G [00:04<00:01, 932MB/s] model-00001-of-00003.safetensors: 67%|██████▋ | 3.33G/4.94G [00:04<00:02, 783MB/s] model-00001-of-00003.safetensors: 69%|██████▉ | 3.43G/4.94G [00:04<00:01, 789MB/s] model-00001-of-00003.safetensors: 72%|███████▏ | 3.55G/4.94G [00:04<00:01, 878MB/s] model-00001-of-00003.safetensors: 75%|███████▍ | 3.70G/4.94G [00:04<00:01, 1.03GB/s] model-00001-of-00003.safetensors: 79%|███████▉ | 3.90G/4.94G [00:04<00:00, 1.26GB/s] model-00001-of-00003.safetensors: 84%|████████▍ | 4.17G/4.94G [00:04<00:00, 1.64GB/s] model-00001-of-00003.safetensors: 88%|████████▊ | 4.37G/4.94G [00:05<00:00, 1.72GB/s] model-00001-of-00003.safetensors: 94%|█████████▍| 4.64G/4.94G [00:05<00:00, 1.95GB/s] model-00001-of-00003.safetensors: 98%|█████████▊| 4.84G/4.94G [00:05<00:00, 1.54GB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:05<00:00, 904MB/s]
cgato-thespice-7b-quick-5889-v3-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<02:02, 40.7MB/s] model-00002-of-00003.safetensors: 0%| | 21.0M/5.00G [00:00<02:28, 33.6MB/s] model-00002-of-00003.safetensors: 1%|▏ | 73.4M/5.00G [00:00<00:37, 130MB/s] model-00002-of-00003.safetensors: 2%|▏ | 105M/5.00G [00:00<00:29, 168MB/s] model-00002-of-00003.safetensors: 4%|▍ | 210M/5.00G [00:00<00:12, 376MB/s] model-00002-of-00003.safetensors: 6%|▌ | 294M/5.00G [00:01<00:09, 489MB/s] model-00002-of-00003.safetensors: 9%|▊ | 430M/5.00G [00:01<00:06, 717MB/s] model-00002-of-00003.safetensors: 12%|█▏ | 587M/5.00G [00:01<00:04, 939MB/s] model-00002-of-00003.safetensors: 15%|█▌ | 765M/5.00G [00:01<00:03, 1.17GB/s] model-00002-of-00003.safetensors: 18%|█▊ | 923M/5.00G [00:01<00:03, 1.26GB/s] model-00002-of-00003.safetensors: 22%|██▏ | 1.09G/5.00G [00:01<00:02, 1.38GB/s] model-00002-of-00003.safetensors: 25%|██▍ | 1.25G/5.00G [00:01<00:02, 1.40GB/s] model-00002-of-00003.safetensors: 28%|██▊ | 1.41G/5.00G [00:01<00:02, 1.45GB/s] model-00002-of-00003.safetensors: 31%|███ | 1.56G/5.00G [00:01<00:02, 1.45GB/s] model-00002-of-00003.safetensors: 36%|███▋ | 1.82G/5.00G [00:01<00:01, 1.77GB/s] model-00002-of-00003.safetensors: 44%|████▎ | 2.18G/5.00G [00:02<00:01, 2.28GB/s] model-00002-of-00003.safetensors: 48%|████▊ | 2.42G/5.00G [00:02<00:01, 1.44GB/s] model-00002-of-00003.safetensors: 52%|█████▏ | 2.61G/5.00G [00:02<00:02, 1.11GB/s] model-00002-of-00003.safetensors: 55%|█████▌ | 2.77G/5.00G [00:02<00:02, 1.02GB/s] model-00002-of-00003.safetensors: 58%|█████▊ | 2.90G/5.00G [00:03<00:02, 879MB/s] model-00002-of-00003.safetensors: 60%|██████ | 3.02G/5.00G [00:03<00:02, 810MB/s] model-00002-of-00003.safetensors: 62%|██████▏ | 3.12G/5.00G [00:03<00:02, 706MB/s] model-00002-of-00003.safetensors: 64%|██████▍ | 3.21G/5.00G [00:03<00:02, 729MB/s] model-00002-of-00003.safetensors: 66%|██████▌ | 3.29G/5.00G [00:03<00:03, 498MB/s] model-00002-of-00003.safetensors: 67%|██████▋ | 3.37G/5.00G [00:04<00:03, 446MB/s] model-00002-of-00003.safetensors: 69%|██████▉ | 3.45G/5.00G [00:04<00:03, 503MB/s] model-00002-of-00003.safetensors: 71%|███████ | 3.53G/5.00G [00:04<00:02, 542MB/s] model-00002-of-00003.safetensors: 73%|███████▎ | 3.66G/5.00G [00:04<00:01, 685MB/s] model-00002-of-00003.safetensors: 75%|███████▌ | 3.75G/5.00G [00:04<00:01, 712MB/s] model-00002-of-00003.safetensors: 78%|███████▊ | 3.89G/5.00G [00:04<00:01, 836MB/s] model-00002-of-00003.safetensors: 80%|███████▉ | 3.98G/5.00G [00:04<00:01, 824MB/s] model-00002-of-00003.safetensors: 83%|████████▎ | 4.13G/5.00G [00:04<00:00, 939MB/s] model-00002-of-00003.safetensors: 91%|█████████▏| 4.57G/5.00G [00:05<00:00, 1.82GB/s] model-00002-of-00003.safetensors: 96%|█████████▌| 4.78G/5.00G [00:05<00:00, 1.16GB/s] model-00002-of-00003.safetensors: 99%|█████████▉| 4.95G/5.00G [00:05<00:00, 1.20GB/s] model-00002-of-00003.safetensors: 100%|█████████▉| 5.00G/5.00G [00:05<00:00, 889MB/s]
cgato-thespice-7b-quick-5889-v3-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<02:27, 30.8MB/s] model-00003-of-00003.safetensors: 0%| | 21.0M/4.54G [00:00<02:34, 29.3MB/s] model-00003-of-00003.safetensors: 1%| | 41.9M/4.54G [00:00<01:12, 62.1MB/s] model-00003-of-00003.safetensors: 4%|▍ | 178M/4.54G [00:00<00:13, 328MB/s] model-00003-of-00003.safetensors: 8%|▊ | 377M/4.54G [00:01<00:05, 701MB/s] model-00003-of-00003.safetensors: 15%|█▌ | 682M/4.54G [00:01<00:03, 1.25GB/s] model-00003-of-00003.safetensors: 19%|█▊ | 849M/4.54G [00:01<00:02, 1.30GB/s] model-00003-of-00003.safetensors: 22%|██▏ | 1.02G/4.54G [00:01<00:02, 1.26GB/s] model-00003-of-00003.safetensors: 26%|██▌ | 1.16G/4.54G [00:01<00:03, 1.08GB/s] model-00003-of-00003.safetensors: 30%|██▉ | 1.34G/4.54G [00:01<00:02, 1.21GB/s] model-00003-of-00003.safetensors: 33%|███▎ | 1.51G/4.54G [00:01<00:02, 1.28GB/s] model-00003-of-00003.safetensors: 41%|████ | 1.85G/4.54G [00:01<00:01, 1.78GB/s] model-00003-of-00003.safetensors: 48%|████▊ | 2.17G/4.54G [00:02<00:01, 2.12GB/s] model-00003-of-00003.safetensors: 53%|█████▎ | 2.40G/4.54G [00:02<00:01, 2.07GB/s] model-00003-of-00003.safetensors: 58%|█████▊ | 2.62G/4.54G [00:02<00:00, 1.93GB/s] model-00003-of-00003.safetensors: 62%|██████▏ | 2.83G/4.54G [00:02<00:01, 1.61GB/s] model-00003-of-00003.safetensors: 66%|██████▋ | 3.01G/4.54G [00:02<00:01, 1.38GB/s] model-00003-of-00003.safetensors: 70%|██████▉ | 3.17G/4.54G [00:02<00:01, 1.36GB/s] model-00003-of-00003.safetensors: 73%|███████▎ | 3.31G/4.54G [00:02<00:01, 1.09GB/s] model-00003-of-00003.safetensors: 76%|███████▌ | 3.45G/4.54G [00:03<00:00, 1.12GB/s] model-00003-of-00003.safetensors: 79%|███████▊ | 3.58G/4.54G [00:03<00:00, 1.14GB/s] model-00003-of-00003.safetensors: 82%|████████▏ | 3.70G/4.54G [00:03<00:01, 806MB/s] model-00003-of-00003.safetensors: 84%|████████▍ | 3.81G/4.54G [00:04<00:01, 434MB/s] model-00003-of-00003.safetensors: 86%|████████▌ | 3.89G/4.54G [00:04<00:01, 475MB/s] model-00003-of-00003.safetensors: 88%|████████▊ | 4.01G/4.54G [00:04<00:00, 568MB/s] model-00003-of-00003.safetensors: 91%|█████████ | 4.11G/4.54G [00:04<00:00, 632MB/s] model-00003-of-00003.safetensors: 93%|█████████▎| 4.24G/4.54G [00:04<00:00, 750MB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 4.54G/4.54G [00:05<00:00, 880MB/s]
cgato-thespice-7b-quick-5889-v3-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, 167MB/s]
cgato-thespice-7b-quick-5889-v3-mkmlizer: special_tokens_map.json: 0%| | 0.00/437 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 437/437 [00:00<00:00, 5.80MB/s]
cgato-thespice-7b-quick-5889-v3-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 64.6MB/s]
cgato-thespice-7b-quick-5889-v3-mkmlizer: tokenizer_config.json: 0%| | 0.00/982 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 982/982 [00:00<00:00, 14.1MB/s]
cgato-thespice-7b-quick-5889-v3-mkmlizer: Downloaded to shared memory in 18.157s
cgato-thespice-7b-quick-5889-v3-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-7b-quick-5889-v3-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespice-7b-quick-5889-v3-mkmlizer: Reading /tmp/tmpkqo2m0vx/model.safetensors.index.json
cgato-thespice-7b-quick-5889-v3-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<08:02, 1.66s/it] Profiling: 5%|▍ | 14/291 [00:01<00:25, 10.73it/s] Profiling: 10%|▉ | 29/291 [00:01<00:10, 24.63it/s] Profiling: 16%|█▌ | 46/291 [00:01<00:05, 42.73it/s] Profiling: 22%|██▏ | 63/291 [00:02<00:03, 61.89it/s] Profiling: 27%|██▋ | 79/291 [00:02<00:02, 79.14it/s] Profiling: 32%|███▏ | 94/291 [00:02<00:02, 91.19it/s] Profiling: 37%|███▋ | 109/291 [00:02<00:02, 64.43it/s] Profiling: 42%|████▏ | 122/291 [00:02<00:02, 73.91it/s] Profiling: 48%|████▊ | 139/291 [00:02<00:01, 90.97it/s] Profiling: 54%|█████▎ | 156/291 [00:02<00:01, 107.05it/s] Profiling: 59%|█████▉ | 171/291 [00:03<00:01, 116.61it/s] Profiling: 64%|██████▍ | 186/291 [00:03<00:00, 119.86it/s] Profiling: 70%|███████ | 204/291 [00:05<00:03, 24.74it/s] Profiling: 74%|███████▎ | 214/291 [00:05<00:02, 29.37it/s] Profiling: 79%|███████▉ | 230/291 [00:05<00:01, 39.46it/s] Profiling: 84%|████████▍ | 245/291 [00:05<00:00, 50.82it/s] Profiling: 89%|████████▊ | 258/291 [00:05<00:00, 59.14it/s] Profiling: 94%|█████████▍| 274/291 [00:05<00:00, 73.41it/s] Profiling: 99%|█████████▊| 287/291 [00:05<00:00, 82.12it/s] Profiling: 100%|██████████| 291/291 [00:06<00:00, 48.04it/s]
cgato-thespice-7b-quick-5889-v3-mkmlizer: quantized model in 17.965s
cgato-thespice-7b-quick-5889-v3-mkmlizer: Processed model cgato/TheSpice-7b-Quick-v0.1.1 in 37.493s
cgato-thespice-7b-quick-5889-v3-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-quick-5889-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-quick-5889-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-quick-5889-v3
cgato-thespice-7b-quick-5889-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-quick-5889-v3/config.json
cgato-thespice-7b-quick-5889-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-quick-5889-v3/tokenizer.model
cgato-thespice-7b-quick-5889-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-quick-5889-v3/special_tokens_map.json
cgato-thespice-7b-quick-5889-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-quick-5889-v3/tokenizer_config.json
cgato-thespice-7b-quick-5889-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-quick-5889-v3/tokenizer.json
cgato-thespice-7b-quick-5889-v3-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-quick-5889-v3/mkml_model.tensors
cgato-thespice-7b-quick-5889-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-7b-quick-5889-v3-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-quick-5889-v3-mkmlizer: warnings.warn(
cgato-thespice-7b-quick-5889-v3-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 12.9MB/s]
cgato-thespice-7b-quick-5889-v3-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-quick-5889-v3-mkmlizer: warnings.warn(
cgato-thespice-7b-quick-5889-v3-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 3.30MB/s]
cgato-thespice-7b-quick-5889-v3-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 41.3MB/s]
cgato-thespice-7b-quick-5889-v3-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 35.6MB/s]
cgato-thespice-7b-quick-5889-v3-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-quick-5889-v3-mkmlizer: warnings.warn(
cgato-thespice-7b-quick-5889-v3-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:18, 76.0MB/s] pytorch_model.bin: 4%|▍ | 62.9M/1.44G [00:00<00:13, 104MB/s] pytorch_model.bin: 7%|▋ | 94.4M/1.44G [00:01<00:20, 65.0MB/s] pytorch_model.bin: 12%|█▏ | 178M/1.44G [00:01<00:08, 152MB/s] pytorch_model.bin: 25%|██▍ | 357M/1.44G [00:01<00:02, 374MB/s] pytorch_model.bin: 46%|████▋ | 671M/1.44G [00:01<00:00, 826MB/s] pytorch_model.bin: 79%|███████▉ | 1.14G/1.44G [00:01<00:00, 1.42GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 759MB/s]
cgato-thespice-7b-quick-5889-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-7b-quick-5889-v3-mkmlizer: Saving duration: 0.313s
cgato-thespice-7b-quick-5889-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.636s
cgato-thespice-7b-quick-5889-v3-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-quick-5889-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-quick-5889-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-quick-5889-v3_reward
cgato-thespice-7b-quick-5889-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-quick-5889-v3_reward/config.json
cgato-thespice-7b-quick-5889-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-quick-5889-v3_reward/special_tokens_map.json
cgato-thespice-7b-quick-5889-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-quick-5889-v3_reward/merges.txt
cgato-thespice-7b-quick-5889-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-quick-5889-v3_reward/tokenizer_config.json
cgato-thespice-7b-quick-5889-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-quick-5889-v3_reward/vocab.json
cgato-thespice-7b-quick-5889-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-quick-5889-v3_reward/tokenizer.json
cgato-thespice-7b-quick-5889-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-7b-quick-5889-v3_reward/reward.tensors
Job cgato-thespice-7b-quick-5889-v3-mkmlizer completed after 75.77s with status: succeeded
Stopping job with name cgato-thespice-7b-quick-5889-v3-mkmlizer
Pipeline stage MKMLizer completed in 80.40s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-quick-5889-v3
Waiting for inference service cgato-thespice-7b-quick-5889-v3 to be ready
Inference service cgato-thespice-7b-quick-5889-v3 ready after 40.26347017288208s
Pipeline stage ISVCDeployer completed in 48.36s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.5619711875915527s
Received healthy response to inference request in 1.1847643852233887s
Received healthy response to inference request in 1.1278889179229736s
Received healthy response to inference request in 1.1887507438659668s
Received healthy response to inference request in 1.1819219589233398s
5 requests
0 failed requests
5th percentile: 1.138695526123047
10th percentile: 1.1495021343231202
20th percentile: 1.1711153507232666
30th percentile: 1.1824904441833497
40th percentile: 1.1836274147033692
50th percentile: 1.1847643852233887
60th percentile: 1.18635892868042
70th percentile: 1.1879534721374512
80th percentile: 1.263394832611084
90th percentile: 1.4126830101013184
95th percentile: 1.4873270988464355
99th percentile: 1.5470423698425293
mean time: 1.2490594387054443
Pipeline stage StressChecker completed in 7.08s
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 0.05s
M-Eval Dataset for topic stay_in_character is loaded
cgato-thespice-7b-quick-_5889_v3 status is now deployed due to DeploymentManager action
cgato-thespice-7b-quick-_5889_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-thespice-7b-quick-_5889_v3
Running pipeline stage ISVCDeleter
Checking if service cgato-thespice-7b-quick-5889-v3 is running
Tearing down inference service cgato-thespice-7b-quick-5889-v3
Toredown service cgato-thespice-7b-quick-5889-v3
Pipeline stage ISVCDeleter completed in 4.85s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-thespice-7b-quick-5889-v3/config.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-quick-5889-v3/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-quick-5889-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-quick-5889-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-quick-5889-v3/tokenizer.model from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-quick-5889-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-thespice-7b-quick-5889-v3_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-5889-v3_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-5889-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-5889-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-5889-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-5889-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-5889-v3_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.64s
cgato-thespice-7b-quick-_5889_v3 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics