submission_id: cgato-thespice-7b-ft-v0-3-1_v4
developer_uid: c.gato
status: torndown
model_repo: cgato/TheSpice-7b-FT-v0.3.1
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.7, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 1, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\nGive short one line 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}
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: 2024-04-05T17:47:54+00:00
model_name: cgato-thespice-7b-ft-v0-3-1_v4
model_eval_status: success
model_group: cgato/TheSpice-7b-FT-v0.
num_battles: 107342
num_wins: 48873
celo_rating: 1125.98
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 1
max_input_tokens: 512
max_output_tokens: 64
display_name: cgato-thespice-7b-ft-v0-3-1_v4
ineligible_reason: propriety_total_count < 800
language_model: cgato/TheSpice-7b-FT-v0.3.1
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-05
win_ratio: 0.45530174582176597
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer
Waiting for job on cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer to finish
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: ║ _____ __ __ ║
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: ║ /___/ ║
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: ║ ║
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: ║ ║
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: ║ belonging to: ║
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: ║ ║
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: ║ ║
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 15.7MB/s]
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: README.md: 0%| | 0.00/2.46k [00:00<?, ?B/s] README.md: 100%|██████████| 2.46k/2.46k [00:00<00:00, 21.6MB/s]
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: config.json: 0%| | 0.00/653 [00:00<?, ?B/s] config.json: 100%|██████████| 653/653 [00:00<00:00, 6.57MB/s]
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: generation_config.json: 0%| | 0.00/137 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 137/137 [00:00<00:00, 1.70MB/s]
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: model-00001-of-00003.safetensors: 0%| | 0.00/4.94G [00:00<?, ?B/s] model-00001-of-00003.safetensors: 0%| | 21.0M/4.94G [00:00<00:28, 174MB/s] model-00001-of-00003.safetensors: 1%| | 41.9M/4.94G [00:00<00:26, 186MB/s] model-00001-of-00003.safetensors: 1%|▏ | 62.9M/4.94G [00:00<00:26, 188MB/s] model-00001-of-00003.safetensors: 2%|▏ | 83.9M/4.94G [00:00<00:29, 166MB/s] model-00001-of-00003.safetensors: 3%|▎ | 126M/4.94G [00:00<00:19, 243MB/s] model-00001-of-00003.safetensors: 4%|▍ | 220M/4.94G [00:00<00:11, 420MB/s] model-00001-of-00003.safetensors: 6%|▌ | 294M/4.94G [00:00<00:09, 487MB/s] model-00001-of-00003.safetensors: 7%|▋ | 346M/4.94G [00:01<00:11, 399MB/s] model-00001-of-00003.safetensors: 8%|▊ | 398M/4.94G [00:01<00:11, 381MB/s] model-00001-of-00003.safetensors: 10%|▉ | 493M/4.94G [00:01<00:08, 506MB/s] model-00001-of-00003.safetensors: 11%|█▏ | 566M/4.94G [00:01<00:07, 562MB/s] model-00001-of-00003.safetensors: 14%|█▍ | 713M/4.94G [00:01<00:05, 749MB/s] model-00001-of-00003.safetensors: 16%|█▌ | 797M/4.94G [00:01<00:06, 634MB/s] model-00001-of-00003.safetensors: 18%|█▊ | 870M/4.94G [00:01<00:07, 557MB/s] model-00001-of-00003.safetensors: 19%|█▉ | 944M/4.94G [00:01<00:06, 590MB/s] model-00001-of-00003.safetensors: 21%|██ | 1.02G/4.94G [00:02<00:06, 600MB/s] model-00001-of-00003.safetensors: 23%|██▎ | 1.14G/4.94G [00:02<00:05, 760MB/s] model-00001-of-00003.safetensors: 25%|██▍ | 1.23G/4.94G [00:02<00:06, 589MB/s] model-00001-of-00003.safetensors: 27%|██▋ | 1.31G/4.94G [00:02<00:05, 625MB/s] model-00001-of-00003.safetensors: 28%|██▊ | 1.38G/4.94G [00:02<00:05, 637MB/s] model-00001-of-00003.safetensors: 30%|██▉ | 1.47G/4.94G [00:02<00:05, 686MB/s] model-00001-of-00003.safetensors: 34%|███▎ | 1.66G/4.94G [00:02<00:04, 734MB/s] model-00001-of-00003.safetensors: 36%|███▌ | 1.76G/4.94G [00:03<00:04, 768MB/s] model-00001-of-00003.safetensors: 39%|███▉ | 1.92G/4.94G [00:03<00:03, 941MB/s] model-00001-of-00003.safetensors: 41%|████ | 2.03G/4.94G [00:03<00:03, 820MB/s] model-00001-of-00003.safetensors: 43%|████▎ | 2.13G/4.94G [00:03<00:03, 745MB/s] model-00001-of-00003.safetensors: 45%|████▌ | 2.24G/4.94G [00:03<00:03, 825MB/s] model-00001-of-00003.safetensors: 47%|████▋ | 2.34G/4.94G [00:03<00:03, 666MB/s] model-00001-of-00003.safetensors: 50%|█████ | 2.47G/4.94G [00:03<00:03, 807MB/s] model-00001-of-00003.safetensors: 52%|█████▏ | 2.57G/4.94G [00:04<00:02, 817MB/s] model-00001-of-00003.safetensors: 54%|█████▍ | 2.67G/4.94G [00:04<00:02, 835MB/s] model-00001-of-00003.safetensors: 56%|█████▌ | 2.77G/4.94G [00:04<00:02, 769MB/s] model-00001-of-00003.safetensors: 58%|█████▊ | 2.88G/4.94G [00:04<00:02, 830MB/s] model-00001-of-00003.safetensors: 61%|██████▏ | 3.03G/4.94G [00:04<00:02, 950MB/s] model-00001-of-00003.safetensors: 63%|██████▎ | 3.14G/4.94G [00:04<00:02, 785MB/s] model-00001-of-00003.safetensors: 65%|██████▌ | 3.23G/4.94G [00:04<00:02, 769MB/s] model-00001-of-00003.safetensors: 68%|██████▊ | 3.36G/4.94G [00:05<00:01, 863MB/s] model-00001-of-00003.safetensors: 74%|███████▍ | 3.68G/4.94G [00:05<00:00, 1.43GB/s] model-00001-of-00003.safetensors: 81%|████████ | 4.00G/4.94G [00:05<00:00, 1.86GB/s] model-00001-of-00003.safetensors: 85%|████████▍ | 4.20G/4.94G [00:05<00:00, 1.64GB/s] model-00001-of-00003.safetensors: 91%|█████████ | 4.49G/4.94G [00:05<00:00, 1.96GB/s] model-00001-of-00003.safetensors: 95%|█████████▌| 4.71G/4.94G [00:05<00:00, 1.19GB/s] model-00001-of-00003.safetensors: 99%|█████████▊| 4.88G/4.94G [00:06<00:00, 1.07GB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:06<00:00, 804MB/s]
cgato-thespice-7b-ft-v0-3-1-v4-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<01:01, 81.5MB/s] model-00002-of-00003.safetensors: 1%|▏ | 62.9M/5.00G [00:00<00:16, 306MB/s] model-00002-of-00003.safetensors: 2%|▏ | 115M/5.00G [00:00<00:12, 396MB/s] model-00002-of-00003.safetensors: 4%|▍ | 210M/5.00G [00:00<00:08, 588MB/s] model-00002-of-00003.safetensors: 6%|▌ | 304M/5.00G [00:00<00:06, 705MB/s] model-00002-of-00003.safetensors: 9%|▉ | 472M/5.00G [00:00<00:04, 1.02GB/s] model-00002-of-00003.safetensors: 14%|█▍ | 692M/5.00G [00:00<00:03, 1.39GB/s] model-00002-of-00003.safetensors: 18%|█▊ | 881M/5.00G [00:00<00:02, 1.49GB/s] model-00002-of-00003.safetensors: 23%|██▎ | 1.17G/5.00G [00:00<00:02, 1.89GB/s] model-00002-of-00003.safetensors: 28%|██▊ | 1.38G/5.00G [00:01<00:01, 1.93GB/s] model-00002-of-00003.safetensors: 32%|███▏ | 1.58G/5.00G [00:01<00:02, 1.70GB/s] model-00002-of-00003.safetensors: 35%|███▌ | 1.76G/5.00G [00:01<00:02, 1.59GB/s] model-00002-of-00003.safetensors: 39%|███▊ | 1.93G/5.00G [00:01<00:02, 1.44GB/s] model-00002-of-00003.safetensors: 42%|████▏ | 2.10G/5.00G [00:01<00:01, 1.47GB/s] model-00002-of-00003.safetensors: 45%|████▌ | 2.26G/5.00G [00:01<00:01, 1.37GB/s] model-00002-of-00003.safetensors: 48%|████▊ | 2.41G/5.00G [00:01<00:02, 1.05GB/s] model-00002-of-00003.safetensors: 51%|█████ | 2.54G/5.00G [00:02<00:02, 1.08GB/s] model-00002-of-00003.safetensors: 53%|█████▎ | 2.66G/5.00G [00:02<00:02, 1.05GB/s] model-00002-of-00003.safetensors: 57%|█████▋ | 2.84G/5.00G [00:02<00:01, 1.20GB/s] model-00002-of-00003.safetensors: 60%|█████▉ | 2.98G/5.00G [00:02<00:01, 1.08GB/s] model-00002-of-00003.safetensors: 65%|██████▌ | 3.26G/5.00G [00:02<00:01, 1.44GB/s] model-00002-of-00003.safetensors: 68%|██████▊ | 3.42G/5.00G [00:02<00:01, 1.36GB/s] model-00002-of-00003.safetensors: 73%|███████▎ | 3.65G/5.00G [00:02<00:00, 1.53GB/s] model-00002-of-00003.safetensors: 76%|███████▋ | 3.82G/5.00G [00:02<00:00, 1.42GB/s] model-00002-of-00003.safetensors: 79%|███████▉ | 3.97G/5.00G [00:03<00:01, 964MB/s] model-00002-of-00003.safetensors: 82%|████████▏ | 4.10G/5.00G [00:03<00:01, 882MB/s] model-00002-of-00003.safetensors: 84%|████████▍ | 4.20G/5.00G [00:03<00:00, 907MB/s] model-00002-of-00003.safetensors: 89%|████████▉ | 4.47G/5.00G [00:03<00:00, 1.27GB/s] model-00002-of-00003.safetensors: 100%|█████████▉| 5.00G/5.00G [00:03<00:00, 1.31GB/s]
cgato-thespice-7b-ft-v0-3-1-v4-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<01:03, 70.9MB/s] model-00003-of-00003.safetensors: 2%|▏ | 73.4M/4.54G [00:00<00:14, 301MB/s] model-00003-of-00003.safetensors: 3%|▎ | 157M/4.54G [00:00<00:08, 501MB/s] model-00003-of-00003.safetensors: 6%|▋ | 294M/4.54G [00:00<00:05, 798MB/s] model-00003-of-00003.safetensors: 9%|▉ | 398M/4.54G [00:00<00:04, 873MB/s] model-00003-of-00003.safetensors: 11%|█ | 493M/4.54G [00:00<00:04, 877MB/s] model-00003-of-00003.safetensors: 13%|█▎ | 587M/4.54G [00:00<00:05, 757MB/s] model-00003-of-00003.safetensors: 15%|█▌ | 692M/4.54G [00:00<00:04, 832MB/s] model-00003-of-00003.safetensors: 20%|█▉ | 891M/4.54G [00:01<00:03, 1.11GB/s] model-00003-of-00003.safetensors: 22%|██▏ | 1.01G/4.54G [00:01<00:03, 1.10GB/s] model-00003-of-00003.safetensors: 25%|██▍ | 1.13G/4.54G [00:01<00:02, 1.14GB/s] model-00003-of-00003.safetensors: 30%|███ | 1.38G/4.54G [00:01<00:02, 1.52GB/s] model-00003-of-00003.safetensors: 34%|███▍ | 1.55G/4.54G [00:01<00:01, 1.56GB/s] model-00003-of-00003.safetensors: 38%|███▊ | 1.72G/4.54G [00:01<00:01, 1.54GB/s] model-00003-of-00003.safetensors: 45%|████▌ | 2.07G/4.54G [00:01<00:01, 2.08GB/s] model-00003-of-00003.safetensors: 50%|█████ | 2.29G/4.54G [00:01<00:01, 1.80GB/s] model-00003-of-00003.safetensors: 55%|█████▍ | 2.47G/4.54G [00:01<00:01, 1.81GB/s] model-00003-of-00003.safetensors: 59%|█████▊ | 2.66G/4.54G [00:02<00:01, 1.51GB/s] model-00003-of-00003.safetensors: 63%|██████▎ | 2.84G/4.54G [00:02<00:01, 1.56GB/s] model-00003-of-00003.safetensors: 66%|██████▋ | 3.01G/4.54G [00:02<00:01, 1.34GB/s] model-00003-of-00003.safetensors: 74%|███████▎ | 3.34G/4.54G [00:02<00:00, 1.78GB/s] model-00003-of-00003.safetensors: 79%|███████▊ | 3.57G/4.54G [00:02<00:00, 1.83GB/s] model-00003-of-00003.safetensors: 84%|████████▎ | 3.80G/4.54G [00:02<00:00, 1.94GB/s] model-00003-of-00003.safetensors: 88%|████████▊ | 4.01G/4.54G [00:02<00:00, 1.93GB/s] model-00003-of-00003.safetensors: 94%|█████████▍| 4.28G/4.54G [00:02<00:00, 2.12GB/s] model-00003-of-00003.safetensors: 99%|█████████▉| 4.50G/4.54G [00:03<00:00, 1.93GB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 4.54G/4.54G [00:03<00:00, 1.44GB/s]
cgato-thespice-7b-ft-v0-3-1-v4-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, 92.5MB/s]
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: special_tokens_map.json: 0%| | 0.00/437 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 437/437 [00:00<00:00, 3.73MB/s]
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 50.4MB/s]
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: tokenizer_config.json: 0%| | 0.00/982 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 982/982 [00:00<00:00, 12.4MB/s]
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: Downloaded to shared memory in 15.748s
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: Reading /tmp/tmpky5sm9sy/model.safetensors.index.json
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:25, 1.33s/it] Profiling: 4%|▍ | 13/291 [00:01<00:22, 12.18it/s] Profiling: 9%|▉ | 27/291 [00:01<00:09, 27.41it/s] Profiling: 13%|█▎ | 38/291 [00:01<00:06, 38.76it/s] Profiling: 19%|█▊ | 54/291 [00:01<00:04, 58.60it/s] Profiling: 23%|██▎ | 66/291 [00:01<00:03, 68.46it/s] Profiling: 28%|██▊ | 81/291 [00:01<00:02, 84.75it/s] Profiling: 32%|███▏ | 94/291 [00:02<00:02, 91.81it/s] Profiling: 36%|███▋ | 106/291 [00:02<00:03, 59.54it/s] Profiling: 41%|████ | 120/291 [00:02<00:02, 73.05it/s] Profiling: 45%|████▌ | 131/291 [00:02<00:02, 78.61it/s] Profiling: 51%|█████ | 147/291 [00:02<00:01, 94.77it/s] Profiling: 55%|█████▍ | 159/291 [00:02<00:01, 97.86it/s] Profiling: 60%|█████▉ | 174/291 [00:03<00:01, 110.14it/s] Profiling: 64%|██████▍ | 187/291 [00:03<00:00, 111.38it/s] Profiling: 70%|███████ | 204/291 [00:04<00:03, 23.63it/s] Profiling: 73%|███████▎ | 213/291 [00:05<00:02, 27.63it/s] Profiling: 79%|███████▊ | 229/291 [00:05<00:01, 38.49it/s] Profiling: 82%|████████▏ | 240/291 [00:05<00:01, 45.51it/s] Profiling: 88%|████████▊ | 256/291 [00:05<00:00, 60.44it/s] Profiling: 92%|█████████▏| 268/291 [00:05<00:00, 69.05it/s] Profiling: 98%|█████████▊| 284/291 [00:05<00:00, 83.30it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 49.83it/s]
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: quantized model in 17.239s
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-ft-v0-3-1-v4
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-v0-3-1-v4/config.json
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-v0-3-1-v4/tokenizer_config.json
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-ft-v0-3-1-v4/tokenizer.model
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-v0-3-1-v4/special_tokens_map.json
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-v0-3-1-v4/tokenizer.json
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-ft-v0-3-1-v4/mkml_model.tensors
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-7b-ft-v0-3-1-v4-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-v0-3-1-v4-mkmlizer: warnings.warn(
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 7.99MB/s]
cgato-thespice-7b-ft-v0-3-1-v4-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-v0-3-1-v4-mkmlizer: warnings.warn(
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.51MB/s]
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 31.8MB/s]
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 48.2MB/s]
cgato-thespice-7b-ft-v0-3-1-v4-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-v0-3-1-v4-mkmlizer: warnings.warn(
cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:09, 153MB/s] pytorch_model.bin: 4%|▎ | 52.4M/1.44G [00:00<00:07, 188MB/s] pytorch_model.bin: 12%|█▏ | 168M/1.44G [00:00<00:02, 485MB/s] pytorch_model.bin: 18%|█▊ | 262M/1.44G [00:00<00:01, 619MB/s] pytorch_model.bin: 23%|██▎ | 336M/1.44G [00:00<00:01, 608MB/s] pytorch_model.bin: 29%|██▉ | 419M/1.44G [00:00<00:01, 669MB/s] pytorch_model.bin: 38%|███▊ | 553M/1.44G [00:00<00:01, 850MB/s] pytorch_model.bin: 45%|████▍ | 648M/1.44G [00:00<00:00, 799MB/s] pytorch_model.bin: 51%|█████ | 732M/1.44G [00:01<00:00, 786MB/s] pytorch_model.bin: 56%|█████▋ | 815M/1.44G [00:01<00:00, 795MB/s] pytorch_model.bin: 64%|██████▎ | 920M/1.44G [00:01<00:00, 860MB/s] pytorch_model.bin: 75%|███████▍ | 1.08G/1.44G [00:01<00:00, 1.06GB/s] pytorch_model.bin: 95%|█████████▍| 1.37G/1.44G [00:01<00:00, 1.59GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:02<00:00, 683MB/s]
Job cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer completed after 83.6s with status: succeeded
Stopping job with name cgato-thespice-7b-ft-v0-3-1-v4-mkmlizer
Pipeline stage MKMLizer completed in 84.47s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-ft-v0-3-1-v4
Waiting for inference service cgato-thespice-7b-ft-v0-3-1-v4 to be ready
Inference service cgato-thespice-7b-ft-v0-3-1-v4 ready after 40.218918323516846s
Pipeline stage ISVCDeployer completed in 46.24s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.6307926177978516s
Received healthy response to inference request in 1.0452706813812256s
Received healthy response to inference request in 0.9829285144805908s
Received healthy response to inference request in 1.036982536315918s
Received healthy response to inference request in 1.0364303588867188s
5 requests
0 failed requests
5th percentile: 0.9936288833618164
10th percentile: 1.004329252243042
20th percentile: 1.0257299900054933
30th percentile: 1.0365407943725586
40th percentile: 1.0367616653442382
50th percentile: 1.036982536315918
60th percentile: 1.040297794342041
70th percentile: 1.0436130523681642
80th percentile: 1.1623750686645509
90th percentile: 1.3965838432312012
95th percentile: 1.5136882305145263
99th percentile: 1.6073717403411865
mean time: 1.1464809417724608
Pipeline stage StressChecker completed in 6.51s
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
cgato-thespice-7b-ft-v0-3-1_v4 status is now deployed due to DeploymentManager action
cgato-thespice-7b-ft-v0-3-1_v4 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-thespice-7b-ft-v0-3-1_v4
Running pipeline stage ISVCDeleter
Checking if service cgato-thespice-7b-ft-v0-3-1-v4 is running
Tearing down inference service cgato-thespice-7b-ft-v0-3-1-v4
Toredown service cgato-thespice-7b-ft-v0-3-1-v4
Pipeline stage ISVCDeleter completed in 4.28s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-thespice-7b-ft-v0-3-1-v4/config.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-v0-3-1-v4/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-v0-3-1-v4/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-v0-3-1-v4/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-v0-3-1-v4/tokenizer.model from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-v0-3-1-v4/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-thespice-7b-ft-v0-3-1-v4_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-v0-3-1-v4_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-v0-3-1-v4_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-v0-3-1-v4_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-v0-3-1-v4_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-v0-3-1-v4_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-v0-3-1-v4_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 14.04s
cgato-thespice-7b-ft-v0-3-1_v4 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics