submission_id: nitral-ai-nsm-alpha-7b_v1
developer_uid: Nitral-AI
status: torndown
model_repo: Nitral-AI/NSM-alpha-7B
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: 2024-04-17T00:53:35+00:00
model_name: nitral-ai-nsm-alpha-7b_v1
model_eval_status: success
model_group: Nitral-AI/NSM-alpha-7B
num_battles: 5642
num_wins: 3129
celo_rating: 1184.07
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: nitral-ai-nsm-alpha-7b_v1
ineligible_reason: propriety_total_count < 800
language_model: Nitral-AI/NSM-alpha-7B
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-16
win_ratio: 0.5545905707196029
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nitral-ai-nsm-alpha-7b-v1-mkmlizer
Waiting for job on nitral-ai-nsm-alpha-7b-v1-mkmlizer to finish
nitral-ai-nsm-alpha-7b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
nitral-ai-nsm-alpha-7b-v1-mkmlizer: ║ _____ __ __ ║
nitral-ai-nsm-alpha-7b-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
nitral-ai-nsm-alpha-7b-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
nitral-ai-nsm-alpha-7b-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
nitral-ai-nsm-alpha-7b-v1-mkmlizer: ║ /___/ ║
nitral-ai-nsm-alpha-7b-v1-mkmlizer: ║ ║
nitral-ai-nsm-alpha-7b-v1-mkmlizer: ║ Version: 0.6.11 ║
nitral-ai-nsm-alpha-7b-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
nitral-ai-nsm-alpha-7b-v1-mkmlizer: ║ ║
nitral-ai-nsm-alpha-7b-v1-mkmlizer: ║ The license key for the current software has been verified as ║
nitral-ai-nsm-alpha-7b-v1-mkmlizer: ║ belonging to: ║
nitral-ai-nsm-alpha-7b-v1-mkmlizer: ║ ║
nitral-ai-nsm-alpha-7b-v1-mkmlizer: ║ Chai Research Corp. ║
nitral-ai-nsm-alpha-7b-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
nitral-ai-nsm-alpha-7b-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
nitral-ai-nsm-alpha-7b-v1-mkmlizer: ║ ║
nitral-ai-nsm-alpha-7b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nitral-ai-nsm-alpha-7b-v1-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 16.6MB/s]
nitral-ai-nsm-alpha-7b-v1-mkmlizer: model-00001-of-00002.safetensors: 0%| | 0.00/9.94G [00:00<?, ?B/s] model-00001-of-00002.safetensors: 0%| | 10.5M/9.94G [00:01<27:42, 5.98MB/s] model-00001-of-00002.safetensors: 0%| | 31.5M/9.94G [00:02<09:11, 18.0MB/s] model-00001-of-00002.safetensors: 1%| | 83.9M/9.94G [00:02<02:44, 60.0MB/s] model-00001-of-00002.safetensors: 1%|▏ | 147M/9.94G [00:02<01:34, 103MB/s] model-00001-of-00002.safetensors: 2%|▏ | 178M/9.94G [00:02<01:21, 120MB/s] model-00001-of-00002.safetensors: 2%|▏ | 210M/9.94G [00:02<01:09, 139MB/s] model-00001-of-00002.safetensors: 3%|▎ | 262M/9.94G [00:02<00:50, 191MB/s] model-00001-of-00002.safetensors: 3%|▎ | 294M/9.94G [00:02<00:46, 208MB/s] model-00001-of-00002.safetensors: 3%|▎ | 325M/9.94G [00:03<00:45, 209MB/s] model-00001-of-00002.safetensors: 4%|▎ | 357M/9.94G [00:03<00:43, 222MB/s] model-00001-of-00002.safetensors: 4%|▍ | 398M/9.94G [00:03<00:37, 252MB/s] model-00001-of-00002.safetensors: 4%|▍ | 440M/9.94G [00:03<00:35, 267MB/s] model-00001-of-00002.safetensors: 5%|▍ | 482M/9.94G [00:03<00:32, 287MB/s] model-00001-of-00002.safetensors: 5%|▌ | 524M/9.94G [00:03<00:30, 313MB/s] model-00001-of-00002.safetensors: 6%|▌ | 608M/9.94G [00:03<00:23, 391MB/s] model-00001-of-00002.safetensors: 7%|▋ | 682M/9.94G [00:04<00:21, 424MB/s] model-00001-of-00002.safetensors: 8%|▊ | 797M/9.94G [00:04<00:15, 580MB/s] model-00001-of-00002.safetensors: 9%|▉ | 902M/9.94G [00:04<00:14, 633MB/s] model-00001-of-00002.safetensors: 10%|▉ | 975M/9.94G [00:04<00:14, 615MB/s] model-00001-of-00002.safetensors: 11%|█ | 1.09G/9.94G [00:04<00:11, 742MB/s] model-00001-of-00002.safetensors: 17%|█▋ | 1.67G/9.94G [00:04<00:04, 1.75GB/s] model-00001-of-00002.safetensors: 18%|█▊ | 1.84G/9.94G [00:05<00:10, 802MB/s] model-00001-of-00002.safetensors: 20%|█▉ | 1.96G/9.94G [00:05<00:12, 649MB/s] model-00001-of-00002.safetensors: 22%|██▏ | 2.14G/9.94G [00:05<00:10, 776MB/s] model-00001-of-00002.safetensors: 23%|██▎ | 2.25G/9.94G [00:05<00:10, 737MB/s] model-00001-of-00002.safetensors: 24%|██▎ | 2.36G/9.94G [00:06<00:11, 674MB/s] model-00001-of-00002.safetensors: 25%|██▍ | 2.47G/9.94G [00:06<00:10, 746MB/s] model-00001-of-00002.safetensors: 26%|██▌ | 2.57G/9.94G [00:06<00:09, 760MB/s] model-00001-of-00002.safetensors: 27%|██▋ | 2.66G/9.94G [00:06<00:10, 708MB/s] model-00001-of-00002.safetensors: 28%|██▊ | 2.77G/9.94G [00:06<00:09, 778MB/s] model-00001-of-00002.safetensors: 29%|██▉ | 2.86G/9.94G [00:06<00:08, 791MB/s] model-00001-of-00002.safetensors: 30%|██▉ | 2.98G/9.94G [00:06<00:08, 831MB/s] model-00001-of-00002.safetensors: 31%|███ | 3.07G/9.94G [00:07<00:09, 738MB/s] model-00001-of-00002.safetensors: 32%|███▏ | 3.16G/9.94G [00:07<00:09, 741MB/s] model-00001-of-00002.safetensors: 33%|███▎ | 3.24G/9.94G [00:07<00:10, 640MB/s] model-00001-of-00002.safetensors: 35%|███▍ | 3.46G/9.94G [00:07<00:06, 989MB/s] model-00001-of-00002.safetensors: 38%|███▊ | 3.79G/9.94G [00:07<00:04, 1.51GB/s] model-00001-of-00002.safetensors: 40%|████ | 4.00G/9.94G [00:07<00:03, 1.59GB/s] model-00001-of-00002.safetensors: 42%|████▏ | 4.17G/9.94G [00:07<00:04, 1.24GB/s] model-00001-of-00002.safetensors: 43%|████▎ | 4.32G/9.94G [00:08<00:08, 688MB/s] model-00001-of-00002.safetensors: 45%|████▍ | 4.44G/9.94G [00:08<00:08, 670MB/s] model-00001-of-00002.safetensors: 46%|████▌ | 4.57G/9.94G [00:08<00:06, 768MB/s] model-00001-of-00002.safetensors: 48%|████▊ | 4.75G/9.94G [00:08<00:05, 946MB/s] model-00001-of-00002.safetensors: 49%|████▉ | 4.91G/9.94G [00:08<00:04, 1.02GB/s] model-00001-of-00002.safetensors: 52%|█████▏ | 5.13G/9.94G [00:08<00:03, 1.27GB/s] model-00001-of-00002.safetensors: 53%|█████▎ | 5.28G/9.94G [00:09<00:03, 1.34GB/s] model-00001-of-00002.safetensors: 55%|█████▍ | 5.44G/9.94G [00:09<00:05, 811MB/s] model-00001-of-00002.safetensors: 56%|█████▌ | 5.57G/9.94G [00:09<00:06, 677MB/s] model-00001-of-00002.safetensors: 57%|█████▋ | 5.67G/9.94G [00:09<00:05, 730MB/s] model-00001-of-00002.safetensors: 58%|█████▊ | 5.81G/9.94G [00:09<00:05, 821MB/s] model-00001-of-00002.safetensors: 60%|█████▉ | 5.95G/9.94G [00:10<00:04, 857MB/s] model-00001-of-00002.safetensors: 61%|██████ | 6.06G/9.94G [00:10<00:04, 900MB/s] model-00001-of-00002.safetensors: 63%|██████▎ | 6.26G/9.94G [00:10<00:03, 1.15GB/s] model-00001-of-00002.safetensors: 65%|██████▌ | 6.47G/9.94G [00:10<00:02, 1.30GB/s] model-00001-of-00002.safetensors: 67%|██████▋ | 6.62G/9.94G [00:10<00:03, 1.02GB/s] model-00001-of-00002.safetensors: 68%|██████▊ | 6.74G/9.94G [00:10<00:03, 982MB/s] model-00001-of-00002.safetensors: 69%|██████▉ | 6.86G/9.94G [00:10<00:03, 961MB/s] model-00001-of-00002.safetensors: 70%|███████ | 6.99G/9.94G [00:11<00:02, 1.04GB/s] model-00001-of-00002.safetensors: 72%|███████▏ | 7.11G/9.94G [00:11<00:02, 947MB/s] model-00001-of-00002.safetensors: 73%|███████▎ | 7.21G/9.94G [00:11<00:03, 830MB/s] model-00001-of-00002.safetensors: 74%|███████▎ | 7.31G/9.94G [00:11<00:03, 784MB/s] model-00001-of-00002.safetensors: 76%|███████▌ | 7.51G/9.94G [00:11<00:02, 1.03GB/s] model-00001-of-00002.safetensors: 77%|███████▋ | 7.62G/9.94G [00:11<00:02, 965MB/s] model-00001-of-00002.safetensors: 78%|███████▊ | 7.73G/9.94G [00:11<00:02, 817MB/s] model-00001-of-00002.safetensors: 79%|███████▊ | 7.82G/9.94G [00:12<00:02, 830MB/s] model-00001-of-00002.safetensors: 80%|███████▉ | 7.92G/9.94G [00:12<00:02, 784MB/s] model-00001-of-00002.safetensors: 81%|████████ | 8.03G/9.94G [00:12<00:02, 836MB/s] model-00001-of-00002.safetensors: 82%|████████▏ | 8.15G/9.94G [00:12<00:02, 894MB/s] model-00001-of-00002.safetensors: 83%|████████▎ | 8.24G/9.94G [00:12<00:02, 755MB/s] model-00001-of-00002.safetensors: 84%|████████▍ | 8.36G/9.94G [00:12<00:01, 837MB/s] model-00001-of-00002.safetensors: 85%|████████▌ | 8.45G/9.94G [00:12<00:01, 755MB/s] model-00001-of-00002.safetensors: 87%|████████▋ | 8.62G/9.94G [00:12<00:01, 967MB/s] model-00001-of-00002.safetensors: 88%|████████▊ | 8.73G/9.94G [00:13<00:01, 943MB/s] model-00001-of-00002.safetensors: 89%|████████▉ | 8.84G/9.94G [00:13<00:01, 944MB/s] model-00001-of-00002.safetensors: 90%|█████████ | 9.00G/9.94G [00:13<00:00, 976MB/s] model-00001-of-00002.safetensors: 92%|█████████▏| 9.10G/9.94G [00:13<00:00, 935MB/s] model-00001-of-00002.safetensors: 93%|█████████▎| 9.21G/9.94G [00:13<00:00, 949MB/s] model-00001-of-00002.safetensors: 94%|█████████▍| 9.33G/9.94G [00:13<00:00, 943MB/s] model-00001-of-00002.safetensors: 95%|█████████▌| 9.46G/9.94G [00:13<00:00, 1.01GB/s] model-00001-of-00002.safetensors: 96%|█████████▌| 9.56G/9.94G [00:13<00:00, 990MB/s] model-00001-of-00002.safetensors: 97%|█████████▋| 9.67G/9.94G [00:14<00:00, 1.00GB/s] model-00001-of-00002.safetensors: 100%|█████████▉| 9.94G/9.94G [00:14<00:00, 702MB/s]
nitral-ai-nsm-alpha-7b-v1-mkmlizer: model-00002-of-00002.safetensors: 0%| | 0.00/4.54G [00:00<?, ?B/s] model-00002-of-00002.safetensors: 0%| | 10.5M/4.54G [00:01<12:05, 6.24MB/s] model-00002-of-00002.safetensors: 0%| | 21.0M/4.54G [00:01<05:28, 13.8MB/s] model-00002-of-00002.safetensors: 1%| | 31.5M/4.54G [00:01<03:20, 22.5MB/s] model-00002-of-00002.safetensors: 1%|▏ | 62.9M/4.54G [00:02<01:16, 58.2MB/s] model-00002-of-00002.safetensors: 4%|▎ | 168M/4.54G [00:02<00:21, 203MB/s] model-00002-of-00002.safetensors: 6%|▌ | 283M/4.54G [00:02<00:15, 280MB/s] model-00002-of-00002.safetensors: 7%|▋ | 336M/4.54G [00:02<00:20, 204MB/s] model-00002-of-00002.safetensors: 10%|█ | 461M/4.54G [00:02<00:12, 336MB/s] model-00002-of-00002.safetensors: 12%|█▏ | 545M/4.54G [00:03<00:09, 410MB/s] model-00002-of-00002.safetensors: 14%|█▎ | 619M/4.54G [00:03<00:14, 270MB/s] model-00002-of-00002.safetensors: 18%|█▊ | 839M/4.54G [00:03<00:07, 509MB/s] model-00002-of-00002.safetensors: 21%|██ | 944M/4.54G [00:03<00:06, 566MB/s] model-00002-of-00002.safetensors: 24%|██▍ | 1.08G/4.54G [00:03<00:05, 685MB/s] model-00002-of-00002.safetensors: 26%|██▌ | 1.18G/4.54G [00:04<00:04, 678MB/s] model-00002-of-00002.safetensors: 29%|██▉ | 1.33G/4.54G [00:04<00:03, 834MB/s] model-00002-of-00002.safetensors: 39%|███▉ | 1.79G/4.54G [00:04<00:01, 1.60GB/s] model-00002-of-00002.safetensors: 44%|████▍ | 1.99G/4.54G [00:05<00:03, 677MB/s] model-00002-of-00002.safetensors: 47%|████▋ | 2.14G/4.54G [00:05<00:03, 676MB/s] model-00002-of-00002.safetensors: 50%|████▉ | 2.26G/4.54G [00:05<00:03, 693MB/s] model-00002-of-00002.safetensors: 52%|█████▏ | 2.38G/4.54G [00:05<00:03, 703MB/s] model-00002-of-00002.safetensors: 55%|█████▍ | 2.49G/4.54G [00:05<00:02, 704MB/s] model-00002-of-00002.safetensors: 57%|█████▋ | 2.58G/4.54G [00:05<00:02, 689MB/s] model-00002-of-00002.safetensors: 59%|█████▉ | 2.69G/4.54G [00:06<00:02, 764MB/s] model-00002-of-00002.safetensors: 62%|██████▏ | 2.82G/4.54G [00:06<00:02, 857MB/s] model-00002-of-00002.safetensors: 64%|██████▍ | 2.93G/4.54G [00:06<00:01, 849MB/s] model-00002-of-00002.safetensors: 67%|██████▋ | 3.02G/4.54G [00:06<00:01, 800MB/s] model-00002-of-00002.safetensors: 69%|██████▉ | 3.15G/4.54G [00:06<00:01, 822MB/s] model-00002-of-00002.safetensors: 71%|███████▏ | 3.24G/4.54G [00:06<00:01, 758MB/s] model-00002-of-00002.safetensors: 77%|███████▋ | 3.48G/4.54G [00:06<00:00, 1.12GB/s] model-00002-of-00002.safetensors: 81%|████████▏ | 3.69G/4.54G [00:06<00:00, 1.35GB/s] model-00002-of-00002.safetensors: 90%|█████████ | 4.10G/4.54G [00:06<00:00, 2.00GB/s] model-00002-of-00002.safetensors: 95%|█████████▌| 4.32G/4.54G [00:07<00:00, 1.53GB/s] model-00002-of-00002.safetensors: 99%|█████████▉| 4.50G/4.54G [00:07<00:00, 1.29GB/s] model-00002-of-00002.safetensors: 100%|█████████▉| 4.54G/4.54G [00:07<00:00, 574MB/s]
nitral-ai-nsm-alpha-7b-v1-mkmlizer: model.safetensors.index.json: 0%| | 0.00/22.8k [00:00<?, ?B/s] model.safetensors.index.json: 100%|██████████| 22.8k/22.8k [00:00<00:00, 5.69MB/s]
nitral-ai-nsm-alpha-7b-v1-mkmlizer: special_tokens_map.json: 0%| | 0.00/625 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 625/625 [00:00<00:00, 4.45MB/s]
nitral-ai-nsm-alpha-7b-v1-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 6.94MB/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 6.92MB/s]
nitral-ai-nsm-alpha-7b-v1-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 2.34MB/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 2.33MB/s]
nitral-ai-nsm-alpha-7b-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/1.01k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 1.01k/1.01k [00:00<00:00, 9.02MB/s]
nitral-ai-nsm-alpha-7b-v1-mkmlizer: Downloaded to shared memory in 26.280s
nitral-ai-nsm-alpha-7b-v1-mkmlizer: quantizing model to /dev/shm/model_cache
nitral-ai-nsm-alpha-7b-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
nitral-ai-nsm-alpha-7b-v1-mkmlizer: Reading /tmp/tmp9f3xnptf/model.safetensors.index.json
nitral-ai-nsm-alpha-7b-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:27, 1.34s/it] Profiling: 5%|▍ | 14/291 [00:01<00:21, 13.12it/s] Profiling: 12%|█▏ | 34/291 [00:01<00:07, 35.03it/s] Profiling: 17%|█▋ | 49/291 [00:01<00:04, 51.50it/s] Profiling: 22%|██▏ | 63/291 [00:01<00:03, 66.03it/s] Profiling: 27%|██▋ | 80/291 [00:01<00:02, 86.09it/s] Profiling: 34%|███▎ | 98/291 [00:01<00:01, 103.06it/s] Profiling: 40%|███▉ | 115/291 [00:02<00:01, 118.41it/s] Profiling: 45%|████▌ | 131/291 [00:02<00:01, 123.52it/s] Profiling: 51%|█████ | 149/291 [00:02<00:01, 132.68it/s] Profiling: 57%|█████▋ | 167/291 [00:02<00:00, 139.64it/s] Profiling: 64%|██████▎ | 185/291 [00:02<00:00, 144.48it/s] Profiling: 69%|██████▉ | 202/291 [00:04<00:02, 30.30it/s] Profiling: 74%|███████▍ | 215/291 [00:04<00:02, 37.26it/s] Profiling: 80%|████████ | 233/291 [00:04<00:01, 49.86it/s] Profiling: 86%|████████▋ | 251/291 [00:04<00:00, 64.17it/s] Profiling: 92%|█████████▏| 269/291 [00:04<00:00, 79.46it/s] Profiling: 99%|█████████▉| 289/291 [00:04<00:00, 98.84it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 59.66it/s]
nitral-ai-nsm-alpha-7b-v1-mkmlizer: quantized model in 16.442s
nitral-ai-nsm-alpha-7b-v1-mkmlizer: Processed model Nitral-AI/NSM-alpha-7B in 43.567s
nitral-ai-nsm-alpha-7b-v1-mkmlizer: creating bucket guanaco-mkml-models
nitral-ai-nsm-alpha-7b-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nitral-ai-nsm-alpha-7b-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nitral-ai-nsm-alpha-7b-v1
nitral-ai-nsm-alpha-7b-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nitral-ai-nsm-alpha-7b-v1/config.json
nitral-ai-nsm-alpha-7b-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nitral-ai-nsm-alpha-7b-v1/special_tokens_map.json
nitral-ai-nsm-alpha-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nitral-ai-nsm-alpha-7b-v1/tokenizer_config.json
nitral-ai-nsm-alpha-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/nitral-ai-nsm-alpha-7b-v1/tokenizer.model
nitral-ai-nsm-alpha-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nitral-ai-nsm-alpha-7b-v1/tokenizer.json
nitral-ai-nsm-alpha-7b-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/nitral-ai-nsm-alpha-7b-v1/mkml_model.tensors
nitral-ai-nsm-alpha-7b-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
nitral-ai-nsm-alpha-7b-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.
nitral-ai-nsm-alpha-7b-v1-mkmlizer: warnings.warn(
nitral-ai-nsm-alpha-7b-v1-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 12.3MB/s]
nitral-ai-nsm-alpha-7b-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.
nitral-ai-nsm-alpha-7b-v1-mkmlizer: warnings.warn(
nitral-ai-nsm-alpha-7b-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 1.68MB/s]
nitral-ai-nsm-alpha-7b-v1-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 4.29MB/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 4.28MB/s]
nitral-ai-nsm-alpha-7b-v1-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 14.5MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 14.4MB/s]
nitral-ai-nsm-alpha-7b-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:01<02:42, 8.84MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:01<01:21, 17.4MB/s] pytorch_model.bin: 7%|▋ | 105M/1.44G [00:01<00:13, 102MB/s] pytorch_model.bin: 29%|██▉ | 419M/1.44G [00:01<00:02, 475MB/s] pytorch_model.bin: 36%|███▋ | 524M/1.44G [00:01<00:01, 530MB/s] pytorch_model.bin: 43%|████▎ | 619M/1.44G [00:02<00:01, 556MB/s] pytorch_model.bin: 59%|█████▉ | 849M/1.44G [00:02<00:00, 843MB/s] pytorch_model.bin: 68%|██████▊ | 975M/1.44G [00:02<00:01, 453MB/s] pytorch_model.bin: 77%|███████▋ | 1.11G/1.44G [00:02<00:00, 565MB/s] pytorch_model.bin: 85%|████████▌ | 1.23G/1.44G [00:03<00:00, 599MB/s] pytorch_model.bin: 92%|█████████▏| 1.33G/1.44G [00:03<00:00, 569MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:03<00:00, 441MB/s]
nitral-ai-nsm-alpha-7b-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nitral-ai-nsm-alpha-7b-v1-mkmlizer: Saving duration: 0.270s
nitral-ai-nsm-alpha-7b-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 8.630s
nitral-ai-nsm-alpha-7b-v1-mkmlizer: creating bucket guanaco-reward-models
nitral-ai-nsm-alpha-7b-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nitral-ai-nsm-alpha-7b-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nitral-ai-nsm-alpha-7b-v1_reward
nitral-ai-nsm-alpha-7b-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nitral-ai-nsm-alpha-7b-v1_reward/config.json
nitral-ai-nsm-alpha-7b-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nitral-ai-nsm-alpha-7b-v1_reward/special_tokens_map.json
nitral-ai-nsm-alpha-7b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nitral-ai-nsm-alpha-7b-v1_reward/tokenizer_config.json
nitral-ai-nsm-alpha-7b-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nitral-ai-nsm-alpha-7b-v1_reward/merges.txt
nitral-ai-nsm-alpha-7b-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nitral-ai-nsm-alpha-7b-v1_reward/vocab.json
nitral-ai-nsm-alpha-7b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nitral-ai-nsm-alpha-7b-v1_reward/tokenizer.json
nitral-ai-nsm-alpha-7b-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nitral-ai-nsm-alpha-7b-v1_reward/reward.tensors
Job nitral-ai-nsm-alpha-7b-v1-mkmlizer completed after 115.46s with status: succeeded
Stopping job with name nitral-ai-nsm-alpha-7b-v1-mkmlizer
Pipeline stage MKMLizer completed in 119.07s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service nitral-ai-nsm-alpha-7b-v1
Waiting for inference service nitral-ai-nsm-alpha-7b-v1 to be ready
Inference service nitral-ai-nsm-alpha-7b-v1 ready after 41.19705843925476s
Pipeline stage ISVCDeployer completed in 48.18s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7418222427368164s
Received healthy response to inference request in 1.205458641052246s
Received healthy response to inference request in 1.193713665008545s
Received healthy response to inference request in 1.1862614154815674s
Received healthy response to inference request in 1.1891090869903564s
5 requests
0 failed requests
5th percentile: 1.1868309497833252
10th percentile: 1.187400484085083
20th percentile: 1.1885395526885987
30th percentile: 1.190030002593994
40th percentile: 1.1918718338012695
50th percentile: 1.193713665008545
60th percentile: 1.1984116554260253
70th percentile: 1.2031096458435058
80th percentile: 1.3127313613891602
90th percentile: 1.5272768020629883
95th percentile: 1.6345495223999023
99th percentile: 1.7203676986694336
mean time: 1.3032730102539063
Pipeline stage StressChecker completed in 7.32s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
Running M-Eval for topic stay_in_character
nitral-ai-nsm-alpha-7b_v1 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
nitral-ai-nsm-alpha-7b_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of nitral-ai-nsm-alpha-7b_v1
Running pipeline stage ISVCDeleter
Checking if service nitral-ai-nsm-alpha-7b-v1 is running
Tearing down inference service nitral-ai-eris-primev4-4-7044-v3
Toredown service nitral-ai-eris-primev4-4-7044-v3
Pipeline stage ISVCDeleter completed in 4.69s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Tearing down inference service nitral-ai-nsm-alpha-7b-v1
Toredown service nitral-ai-nsm-alpha-7b-v1
Pipeline stage ISVCDeleter completed in 4.19s
Running pipeline stage MKMLModelDeleter
Deleting key nitral-ai-eris-primev4-4-7044-v3/config.json from bucket guanaco-mkml-models
Cleaning model data from S3
Deleting key nitral-ai-eris-primev4-4-7044-v3/mkml_model.tensors from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key nitral-ai-nsm-alpha-7b-v1/config.json from bucket guanaco-mkml-models
Deleting key nitral-ai-eris-primev4-4-7044-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key nitral-ai-nsm-alpha-7b-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key nitral-ai-eris-primev4-4-7044-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key nitral-ai-eris-primev4-4-7044-v3/tokenizer.model from bucket guanaco-mkml-models
Deleting key nitral-ai-eris-primev4-4-7044-v3/tokenizer_config.json from bucket guanaco-mkml-models
Deleting key nitral-ai-nsm-alpha-7b-v1/special_tokens_map.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key nitral-ai-nsm-alpha-7b-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key nitral-ai-nsm-alpha-7b-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key nitral-ai-eris-primev4-4-7044-v3_reward/config.json from bucket guanaco-reward-models
Deleting key nitral-ai-nsm-alpha-7b-v1/tokenizer_config.json from bucket guanaco-mkml-models
Deleting key nitral-ai-eris-primev4-4-7044-v3_reward/merges.txt from bucket guanaco-reward-models
Cleaning model data from model cache
Deleting key nitral-ai-eris-primev4-4-7044-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key nitral-ai-nsm-alpha-7b-v1_reward/config.json from bucket guanaco-reward-models
Deleting key nitral-ai-eris-primev4-4-7044-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key nitral-ai-nsm-alpha-7b-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key nitral-ai-eris-primev4-4-7044-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key nitral-ai-nsm-alpha-7b-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key nitral-ai-eris-primev4-4-7044-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key nitral-ai-nsm-alpha-7b-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key nitral-ai-eris-primev4-4-7044-v3_reward/vocab.json from bucket guanaco-reward-models
Deleting key nitral-ai-nsm-alpha-7b-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key nitral-ai-nsm-alpha-7b-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.02s
Deleting key nitral-ai-nsm-alpha-7b-v1_reward/vocab.json from bucket guanaco-reward-models
nitral-ai-eris-primev4-4_7044_v3 status is now torndown due to DeploymentManager action
nitral-ai-nsm-alpha-7b_v1 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics