submission_id: cgato-chaispice-7b-ft-v0-2_v1
developer_uid: c.gato
best_of: 16
celo_rating: 1176.5
display_name: cgato-chaispice-7b-ft-v0-2_v1
family_friendly_score: 0.0
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}
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}
is_internal_developer: False
language_model: cgato/ChaiSpice-7b-FT-v0.2
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_eval_status: success
model_group: cgato/ChaiSpice-7b-FT-v0
model_name: cgato-chaispice-7b-ft-v0-2_v1
model_num_parameters: 7241732096.0
model_repo: cgato/ChaiSpice-7b-FT-v0.2
model_size: 7B
num_battles: 130980
num_wins: 68635
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-04-07T00:34:30+00:00
us_pacific_date: 2024-04-06
win_ratio: 0.5240112994350282
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-chaispice-7b-ft-v0-2-v1-mkmlizer
Waiting for job on cgato-chaispice-7b-ft-v0-2-v1-mkmlizer to finish
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: ║ _____ __ __ ║
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: ║ /___/ ║
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: ║ ║
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: ║ Version: 0.6.11 ║
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: ║ ║
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: ║ belonging to: ║
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: ║ ║
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: ║ ║
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 19.7MB/s]
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: README.md: 0%| | 0.00/30.0 [00:00<?, ?B/s] README.md: 100%|██████████| 30.0/30.0 [00:00<00:00, 413kB/s]
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: config.json: 0%| | 0.00/653 [00:00<?, ?B/s] config.json: 100%|██████████| 653/653 [00:00<00:00, 5.36MB/s]
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: generation_config.json: 0%| | 0.00/137 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 137/137 [00:00<00:00, 1.14MB/s]
cgato-chaispice-7b-ft-v0-2-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<11:21, 7.24MB/s] model-00001-of-00003.safetensors: 0%| | 21.0M/4.94G [00:02<07:28, 11.0MB/s] model-00001-of-00003.safetensors: 1%| | 31.5M/4.94G [00:02<05:28, 15.0MB/s] model-00001-of-00003.safetensors: 1%| | 41.9M/4.94G [00:02<04:03, 20.1MB/s] model-00001-of-00003.safetensors: 1%| | 52.4M/4.94G [00:02<02:53, 28.2MB/s] model-00001-of-00003.safetensors: 1%|▏ | 62.9M/4.94G [00:02<02:10, 37.4MB/s] model-00001-of-00003.safetensors: 2%|▏ | 94.4M/4.94G [00:03<01:02, 78.2MB/s] model-00001-of-00003.safetensors: 3%|▎ | 168M/4.94G [00:03<00:24, 192MB/s] model-00001-of-00003.safetensors: 6%|▌ | 283M/4.94G [00:03<00:12, 379MB/s] model-00001-of-00003.safetensors: 7%|▋ | 346M/4.94G [00:03<00:10, 432MB/s] model-00001-of-00003.safetensors: 8%|▊ | 409M/4.94G [00:03<00:10, 443MB/s] model-00001-of-00003.safetensors: 18%|█▊ | 870M/4.94G [00:03<00:02, 1.44GB/s] model-00001-of-00003.safetensors: 22%|██▏ | 1.09G/4.94G [00:03<00:02, 1.58GB/s] model-00001-of-00003.safetensors: 26%|██▌ | 1.28G/4.94G [00:04<00:06, 538MB/s] model-00001-of-00003.safetensors: 29%|██▊ | 1.42G/4.94G [00:04<00:05, 604MB/s] model-00001-of-00003.safetensors: 31%|███ | 1.54G/4.94G [00:04<00:05, 630MB/s] model-00001-of-00003.safetensors: 34%|███▎ | 1.66G/4.94G [00:05<00:05, 602MB/s] model-00001-of-00003.safetensors: 35%|███▌ | 1.75G/4.94G [00:05<00:05, 629MB/s] model-00001-of-00003.safetensors: 38%|███▊ | 1.88G/4.94G [00:05<00:04, 729MB/s] model-00001-of-00003.safetensors: 41%|████▏ | 2.04G/4.94G [00:05<00:03, 882MB/s] model-00001-of-00003.safetensors: 44%|████▎ | 2.16G/4.94G [00:05<00:03, 858MB/s] model-00001-of-00003.safetensors: 46%|████▌ | 2.29G/4.94G [00:05<00:02, 900MB/s] model-00001-of-00003.safetensors: 51%|█████ | 2.53G/4.94G [00:05<00:01, 1.24GB/s] model-00001-of-00003.safetensors: 59%|█████▉ | 2.90G/4.94G [00:05<00:01, 1.85GB/s] model-00001-of-00003.safetensors: 63%|██████▎ | 3.12G/4.94G [00:06<00:01, 991MB/s] model-00001-of-00003.safetensors: 67%|██████▋ | 3.29G/4.94G [00:06<00:02, 671MB/s] model-00001-of-00003.safetensors: 69%|██████▉ | 3.42G/4.94G [00:07<00:02, 728MB/s] model-00001-of-00003.safetensors: 73%|███████▎ | 3.59G/4.94G [00:07<00:01, 858MB/s] model-00001-of-00003.safetensors: 75%|███████▌ | 3.72G/4.94G [00:07<00:01, 890MB/s] model-00001-of-00003.safetensors: 83%|████████▎ | 4.11G/4.94G [00:07<00:00, 1.44GB/s] model-00001-of-00003.safetensors: 87%|████████▋ | 4.31G/4.94G [00:07<00:00, 910MB/s] model-00001-of-00003.safetensors: 90%|█████████ | 4.47G/4.94G [00:07<00:00, 913MB/s] model-00001-of-00003.safetensors: 93%|█████████▎| 4.61G/4.94G [00:08<00:00, 974MB/s] model-00001-of-00003.safetensors: 99%|█████████▉| 4.89G/4.94G [00:08<00:00, 1.32GB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:08<00:00, 601MB/s]
cgato-chaispice-7b-ft-v0-2-v1-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<13:54, 5.98MB/s] model-00002-of-00003.safetensors: 1%| | 31.5M/5.00G [00:02<04:52, 17.0MB/s] model-00002-of-00003.safetensors: 1%| | 52.4M/5.00G [00:02<03:05, 26.7MB/s] model-00002-of-00003.safetensors: 1%|▏ | 73.4M/5.00G [00:02<01:58, 41.6MB/s] model-00002-of-00003.safetensors: 2%|▏ | 83.9M/5.00G [00:02<01:43, 47.3MB/s] model-00002-of-00003.safetensors: 3%|▎ | 126M/5.00G [00:02<00:51, 94.9MB/s] model-00002-of-00003.safetensors: 6%|▌ | 304M/5.00G [00:03<00:13, 341MB/s] model-00002-of-00003.safetensors: 7%|▋ | 367M/5.00G [00:03<00:12, 378MB/s] model-00002-of-00003.safetensors: 9%|▊ | 430M/5.00G [00:03<00:10, 417MB/s] model-00002-of-00003.safetensors: 18%|█▊ | 923M/5.00G [00:03<00:02, 1.38GB/s] model-00002-of-00003.safetensors: 23%|██▎ | 1.13G/5.00G [00:03<00:02, 1.35GB/s] model-00002-of-00003.safetensors: 26%|██▌ | 1.31G/5.00G [00:04<00:06, 540MB/s] model-00002-of-00003.safetensors: 29%|██▉ | 1.45G/5.00G [00:04<00:06, 547MB/s] model-00002-of-00003.safetensors: 31%|███ | 1.56G/5.00G [00:04<00:06, 549MB/s] model-00002-of-00003.safetensors: 33%|███▎ | 1.66G/5.00G [00:04<00:05, 594MB/s] model-00002-of-00003.safetensors: 35%|███▌ | 1.75G/5.00G [00:05<00:05, 599MB/s] model-00002-of-00003.safetensors: 37%|███▋ | 1.84G/5.00G [00:05<00:05, 580MB/s] model-00002-of-00003.safetensors: 39%|███▉ | 1.94G/5.00G [00:05<00:04, 662MB/s] model-00002-of-00003.safetensors: 41%|████ | 2.03G/5.00G [00:05<00:04, 719MB/s] model-00002-of-00003.safetensors: 43%|████▎ | 2.13G/5.00G [00:05<00:03, 727MB/s] model-00002-of-00003.safetensors: 45%|████▍ | 2.24G/5.00G [00:05<00:03, 806MB/s] model-00002-of-00003.safetensors: 47%|████▋ | 2.36G/5.00G [00:05<00:03, 824MB/s] model-00002-of-00003.safetensors: 53%|█████▎ | 2.66G/5.00G [00:05<00:01, 1.32GB/s] model-00002-of-00003.safetensors: 56%|█████▌ | 2.81G/5.00G [00:06<00:01, 1.29GB/s] model-00002-of-00003.safetensors: 63%|██████▎ | 3.16G/5.00G [00:06<00:01, 1.83GB/s] model-00002-of-00003.safetensors: 67%|██████▋ | 3.36G/5.00G [00:06<00:01, 1.07GB/s] model-00002-of-00003.safetensors: 70%|███████ | 3.51G/5.00G [00:06<00:02, 737MB/s] model-00002-of-00003.safetensors: 73%|███████▎ | 3.64G/5.00G [00:07<00:01, 753MB/s] model-00002-of-00003.safetensors: 75%|███████▌ | 3.75G/5.00G [00:07<00:01, 646MB/s] model-00002-of-00003.safetensors: 77%|███████▋ | 3.87G/5.00G [00:07<00:01, 720MB/s] model-00002-of-00003.safetensors: 80%|████████ | 4.02G/5.00G [00:07<00:01, 849MB/s] model-00002-of-00003.safetensors: 87%|████████▋ | 4.34G/5.00G [00:07<00:00, 1.32GB/s] model-00002-of-00003.safetensors: 90%|█████████ | 4.52G/5.00G [00:07<00:00, 975MB/s] model-00002-of-00003.safetensors: 94%|█████████▍| 4.70G/5.00G [00:08<00:00, 1.11GB/s] model-00002-of-00003.safetensors: 97%|█████████▋| 4.85G/5.00G [00:08<00:00, 1.13GB/s] model-00002-of-00003.safetensors: 100%|█████████▉| 5.00G/5.00G [00:08<00:00, 604MB/s]
cgato-chaispice-7b-ft-v0-2-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<11:13, 6.73MB/s] model-00003-of-00003.safetensors: 0%| | 21.0M/4.54G [00:01<05:07, 14.7MB/s] model-00003-of-00003.safetensors: 1%| | 31.5M/4.54G [00:02<04:45, 15.8MB/s] model-00003-of-00003.safetensors: 1%| | 41.9M/4.54G [00:02<04:08, 18.1MB/s] model-00003-of-00003.safetensors: 2%|▏ | 94.4M/4.54G [00:02<01:10, 63.0MB/s] model-00003-of-00003.safetensors: 3%|▎ | 126M/4.54G [00:02<00:49, 89.8MB/s] model-00003-of-00003.safetensors: 4%|▍ | 178M/4.54G [00:03<00:29, 148MB/s] model-00003-of-00003.safetensors: 7%|▋ | 315M/4.54G [00:03<00:12, 342MB/s] model-00003-of-00003.safetensors: 10%|▉ | 451M/4.54G [00:03<00:07, 529MB/s] model-00003-of-00003.safetensors: 12%|█▏ | 545M/4.54G [00:03<00:07, 522MB/s] model-00003-of-00003.safetensors: 23%|██▎ | 1.06G/4.54G [00:03<00:04, 817MB/s] model-00003-of-00003.safetensors: 25%|██▌ | 1.14G/4.54G [00:04<00:08, 418MB/s] model-00003-of-00003.safetensors: 27%|██▋ | 1.24G/4.54G [00:04<00:07, 467MB/s] model-00003-of-00003.safetensors: 29%|██▉ | 1.31G/4.54G [00:05<00:07, 439MB/s] model-00003-of-00003.safetensors: 31%|███ | 1.39G/4.54G [00:05<00:06, 488MB/s] model-00003-of-00003.safetensors: 33%|███▎ | 1.50G/4.54G [00:05<00:05, 562MB/s] model-00003-of-00003.safetensors: 35%|███▍ | 1.58G/4.54G [00:05<00:05, 582MB/s] model-00003-of-00003.safetensors: 37%|███▋ | 1.70G/4.54G [00:05<00:04, 693MB/s] model-00003-of-00003.safetensors: 41%|████ | 1.87G/4.54G [00:05<00:02, 893MB/s] model-00003-of-00003.safetensors: 44%|████▎ | 1.98G/4.54G [00:05<00:02, 863MB/s] model-00003-of-00003.safetensors: 47%|████▋ | 2.15G/4.54G [00:05<00:02, 999MB/s] model-00003-of-00003.safetensors: 55%|█████▌ | 2.51G/4.54G [00:05<00:01, 1.61GB/s] model-00003-of-00003.safetensors: 59%|█████▉ | 2.69G/4.54G [00:06<00:03, 603MB/s] model-00003-of-00003.safetensors: 62%|██████▏ | 2.83G/4.54G [00:07<00:02, 580MB/s] model-00003-of-00003.safetensors: 65%|██████▍ | 2.95G/4.54G [00:07<00:03, 520MB/s] model-00003-of-00003.safetensors: 67%|██████▋ | 3.04G/4.54G [00:07<00:02, 548MB/s] model-00003-of-00003.safetensors: 70%|██████▉ | 3.17G/4.54G [00:07<00:02, 645MB/s] model-00003-of-00003.safetensors: 72%|███████▏ | 3.26G/4.54G [00:07<00:01, 679MB/s] model-00003-of-00003.safetensors: 77%|███████▋ | 3.50G/4.54G [00:07<00:01, 1.00GB/s] model-00003-of-00003.safetensors: 80%|████████ | 3.64G/4.54G [00:07<00:00, 913MB/s] model-00003-of-00003.safetensors: 83%|████████▎ | 3.76G/4.54G [00:08<00:01, 562MB/s] model-00003-of-00003.safetensors: 85%|████████▍ | 3.86G/4.54G [00:08<00:01, 598MB/s] model-00003-of-00003.safetensors: 87%|████████▋ | 3.95G/4.54G [00:08<00:00, 611MB/s] model-00003-of-00003.safetensors: 89%|████████▉ | 4.05G/4.54G [00:08<00:00, 666MB/s] model-00003-of-00003.safetensors: 92%|█████████▏| 4.16G/4.54G [00:08<00:00, 759MB/s] model-00003-of-00003.safetensors: 99%|█████████▉| 4.50G/4.54G [00:09<00:00, 1.34GB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 4.54G/4.54G [00:09<00:00, 499MB/s]
cgato-chaispice-7b-ft-v0-2-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, 120MB/s]
cgato-chaispice-7b-ft-v0-2-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, 4.07MB/s]
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 58.5MB/s]
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/982 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 982/982 [00:00<00:00, 13.0MB/s]
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: Downloaded to shared memory in 27.847s
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: Reading /tmp/tmp1s_3wx1q/model.safetensors.index.json
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<05:50, 1.21s/it] Profiling: 7%|▋ | 19/291 [00:01<00:13, 19.74it/s] Profiling: 13%|█▎ | 37/291 [00:01<00:06, 40.42it/s] Profiling: 19%|█▉ | 56/291 [00:01<00:03, 63.12it/s] Profiling: 27%|██▋ | 78/291 [00:01<00:02, 91.01it/s] Profiling: 33%|███▎ | 96/291 [00:01<00:01, 108.49it/s] Profiling: 39%|███▉ | 114/291 [00:02<00:02, 83.36it/s] Profiling: 46%|████▌ | 133/291 [00:02<00:01, 102.15it/s] Profiling: 54%|█████▎ | 156/291 [00:02<00:01, 126.70it/s] Profiling: 60%|██████ | 175/291 [00:02<00:00, 140.46it/s] Profiling: 67%|██████▋ | 194/291 [00:02<00:00, 150.97it/s] Profiling: 73%|███████▎ | 212/291 [00:03<00:02, 34.92it/s] Profiling: 79%|███████▉ | 231/291 [00:04<00:01, 46.24it/s] Profiling: 88%|████████▊ | 256/291 [00:04<00:00, 65.05it/s] Profiling: 94%|█████████▍| 274/291 [00:04<00:00, 78.11it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 63.39it/s]
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: quantized model in 15.061s
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: Processed model cgato/ChaiSpice-7b-FT-v0.2 in 43.801s
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-2-v1
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-2-v1/special_tokens_map.json
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-2-v1/tokenizer_config.json
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-2-v1/config.json
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-2-v1/tokenizer.model
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-2-v1/tokenizer.json
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-2-v1/mkml_model.tensors
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-chaispice-7b-ft-v0-2-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-chaispice-7b-ft-v0-2-v1-mkmlizer: warnings.warn(
cgato-chaispice-7b-ft-v0-2-v1-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-chaispice-7b-ft-v0-2-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-chaispice-7b-ft-v0-2-v1-mkmlizer: warnings.warn(
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 3.21MB/s]
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 16.3MB/s]
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 17.4MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 17.3MB/s]
cgato-chaispice-7b-ft-v0-2-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.
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: warnings.warn(
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:19, 74.7MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:36, 38.8MB/s] pytorch_model.bin: 4%|▎ | 52.4M/1.44G [00:00<00:14, 96.2MB/s] pytorch_model.bin: 5%|▌ | 73.4M/1.44G [00:00<00:13, 104MB/s] pytorch_model.bin: 34%|███▍ | 493M/1.44G [00:01<00:01, 841MB/s] pytorch_model.bin: 41%|████ | 587M/1.44G [00:01<00:01, 680MB/s] pytorch_model.bin: 46%|████▌ | 661M/1.44G [00:01<00:01, 658MB/s] pytorch_model.bin: 51%|█████ | 734M/1.44G [00:02<00:04, 174MB/s] pytorch_model.bin: 92%|█████████▏| 1.33G/1.44G [00:02<00:00, 582MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:03<00:00, 480MB/s]
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: Saving duration: 0.224s
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.199s
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: creating bucket guanaco-reward-models
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-chaispice-7b-ft-v0-2-v1_reward
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-chaispice-7b-ft-v0-2-v1_reward/config.json
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-chaispice-7b-ft-v0-2-v1_reward/tokenizer_config.json
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-chaispice-7b-ft-v0-2-v1_reward/special_tokens_map.json
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-chaispice-7b-ft-v0-2-v1_reward/vocab.json
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-chaispice-7b-ft-v0-2-v1_reward/merges.txt
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-chaispice-7b-ft-v0-2-v1_reward/tokenizer.json
cgato-chaispice-7b-ft-v0-2-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-chaispice-7b-ft-v0-2-v1_reward/reward.tensors
Job cgato-chaispice-7b-ft-v0-2-v1-mkmlizer completed after 74.4s with status: succeeded
Stopping job with name cgato-chaispice-7b-ft-v0-2-v1-mkmlizer
Pipeline stage MKMLizer completed in 79.72s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cgato-chaispice-7b-ft-v0-2-v1
Waiting for inference service cgato-chaispice-7b-ft-v0-2-v1 to be ready
Inference service cgato-chaispice-7b-ft-v0-2-v1 ready after 40.21865439414978s
Pipeline stage ISVCDeployer completed in 47.86s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7568678855895996s
Received healthy response to inference request in 1.1965622901916504s
Received healthy response to inference request in 1.2092478275299072s
Received healthy response to inference request in 1.2945775985717773s
Received healthy response to inference request in 1.1926476955413818s
5 requests
0 failed requests
5th percentile: 1.1934306144714355
10th percentile: 1.1942135334014892
20th percentile: 1.1957793712615967
30th percentile: 1.1990993976593018
40th percentile: 1.2041736125946045
50th percentile: 1.2092478275299072
60th percentile: 1.2433797359466552
70th percentile: 1.2775116443634034
80th percentile: 1.3870356559753418
90th percentile: 1.5719517707824708
95th percentile: 1.6644098281860351
99th percentile: 1.7383762741088866
mean time: 1.3299806594848633
Pipeline stage StressChecker completed in 7.48s
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-chaispice-7b-ft-v0-2_v1 status is now deployed due to DeploymentManager action
cgato-chaispice-7b-ft-v0-2_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-chaispice-7b-ft-v0-2_v1
Running pipeline stage ISVCDeleter
Checking if service cgato-chaispice-7b-ft-v0-2-v1 is running
Tearing down inference service cgato-chaispice-7b-ft-v0-2-v1
Toredown service cgato-chaispice-7b-ft-v0-2-v1
Pipeline stage ISVCDeleter completed in 7.21s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-chaispice-7b-ft-v0-2-v1/config.json from bucket guanaco-mkml-models
Deleting key cgato-chaispice-7b-ft-v0-2-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-chaispice-7b-ft-v0-2-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-chaispice-7b-ft-v0-2-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-chaispice-7b-ft-v0-2-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key cgato-chaispice-7b-ft-v0-2-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-chaispice-7b-ft-v0-2-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-chaispice-7b-ft-v0-2-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-chaispice-7b-ft-v0-2-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-chaispice-7b-ft-v0-2-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-chaispice-7b-ft-v0-2-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-chaispice-7b-ft-v0-2-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-chaispice-7b-ft-v0-2-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.61s
cgato-chaispice-7b-ft-v0-2_v1 status is now torndown due to DeploymentManager action