submission_id: khanhnto-khanhnto_v65
developer_uid: chai_backend_admin
status: torndown
model_repo: khanhnto/khanhnto
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.2, 'top_p': 0.7, 'min_p': 0.0, 'top_k': 50, 'presence_penalty': 0.8, 'frequency_penalty': 0.2, 'stopping_words': ['\n', '<\\s>', '###'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 96}
formatter: {'memory_template': "### Instruction:\n\n{bot_name}'s Persona: {memory}.\n\nPlay the role of {bot_name}. Engage in a chat with {user_name} while stay in character. Do not write dialogues and narration for {user_name}. {bot_name} should response with messages of medium length.", 'prompt_template': '{prompt}\n\n', 'bot_template': '### Response:\n\n{bot_name}: {message}\n\n', 'user_template': '### Input:\n\n{user_name}: {message}\n\n', 'response_template': '### Response:\n\n{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
timestamp: 2024-03-31T01:48:58+00:00
model_name: khanhnto-96
model_eval_status: success
model_group: khanhnto/khanhnto
num_battles: 129822
num_wins: 67567
celo_rating: 1166.81
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 13015864320.0
best_of: 8
max_input_tokens: 512
max_output_tokens: 96
display_name: khanhnto-96
ineligible_reason: max_output_tokens!=64
language_model: khanhnto/khanhnto
model_size: 13B
reward_model: rirv938/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-03-30
win_ratio: 0.5204587820246184
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name khanhnto-khanhnto-v65-mkmlizer
Waiting for job on khanhnto-khanhnto-v65-mkmlizer to finish
Stopping job with name khanhnto-khanhnto-v65-mkmlizer
%s, retrying in %s seconds...
Starting job with name khanhnto-khanhnto-v65-mkmlizer
Waiting for job on khanhnto-khanhnto-v65-mkmlizer to finish
khanhnto-khanhnto-v65-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
khanhnto-khanhnto-v65-mkmlizer: ║ _____ __ __ ║
khanhnto-khanhnto-v65-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
khanhnto-khanhnto-v65-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
khanhnto-khanhnto-v65-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
khanhnto-khanhnto-v65-mkmlizer: ║ /___/ ║
khanhnto-khanhnto-v65-mkmlizer: ║ ║
khanhnto-khanhnto-v65-mkmlizer: ║ Version: 0.6.11 ║
khanhnto-khanhnto-v65-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
khanhnto-khanhnto-v65-mkmlizer: ║ ║
khanhnto-khanhnto-v65-mkmlizer: ║ The license key for the current software has been verified as ║
khanhnto-khanhnto-v65-mkmlizer: ║ belonging to: ║
khanhnto-khanhnto-v65-mkmlizer: ║ ║
khanhnto-khanhnto-v65-mkmlizer: ║ Chai Research Corp. ║
khanhnto-khanhnto-v65-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
khanhnto-khanhnto-v65-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
khanhnto-khanhnto-v65-mkmlizer: ║ ║
khanhnto-khanhnto-v65-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
khanhnto-khanhnto-v65-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
khanhnto-khanhnto-v65-mkmlizer: ║ _____ __ __ ║
khanhnto-khanhnto-v65-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
khanhnto-khanhnto-v65-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
khanhnto-khanhnto-v65-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
khanhnto-khanhnto-v65-mkmlizer: ║ /___/ ║
khanhnto-khanhnto-v65-mkmlizer: ║ ║
khanhnto-khanhnto-v65-mkmlizer: ║ Version: 0.6.11 ║
khanhnto-khanhnto-v65-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
khanhnto-khanhnto-v65-mkmlizer: ║ ║
khanhnto-khanhnto-v65-mkmlizer: ║ The license key for the current software has been verified as ║
khanhnto-khanhnto-v65-mkmlizer: ║ belonging to: ║
khanhnto-khanhnto-v65-mkmlizer: ║ ║
khanhnto-khanhnto-v65-mkmlizer: ║ Chai Research Corp. ║
khanhnto-khanhnto-v65-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
khanhnto-khanhnto-v65-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
khanhnto-khanhnto-v65-mkmlizer: ║ ║
khanhnto-khanhnto-v65-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
khanhnto-khanhnto-v65-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 18.4MB/s]
khanhnto-khanhnto-v65-mkmlizer: added_tokens.json: 0%| | 0.00/21.0 [00:00<?, ?B/s] added_tokens.json: 100%|██████████| 21.0/21.0 [00:00<00:00, 258kB/s]
khanhnto-khanhnto-v65-mkmlizer: config.json: 0%| | 0.00/702 [00:00<?, ?B/s] config.json: 100%|██████████| 702/702 [00:00<00:00, 11.1MB/s]
khanhnto-khanhnto-v65-mkmlizer: generation_config.json: 0%| | 0.00/137 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 137/137 [00:00<00:00, 1.12MB/s]
khanhnto-khanhnto-v65-mkmlizer: model-00001-of-00006.safetensors: 0%| | 0.00/4.98G [00:00<?, ?B/s] model-00001-of-00006.safetensors: 0%| | 10.5M/4.98G [00:00<00:52, 94.8MB/s] model-00001-of-00006.safetensors: 0%| | 21.0M/4.98G [00:00<00:52, 95.0MB/s] model-00001-of-00006.safetensors: 3%|▎ | 147M/4.98G [00:00<00:09, 532MB/s] model-00001-of-00006.safetensors: 6%|▌ | 304M/4.98G [00:00<00:05, 898MB/s] model-00001-of-00006.safetensors: 8%|▊ | 419M/4.98G [00:00<00:04, 962MB/s] model-00001-of-00006.safetensors: 14%|█▍ | 713M/4.98G [00:00<00:02, 1.58GB/s] model-00001-of-00006.safetensors: 18%|█▊ | 881M/4.98G [00:00<00:02, 1.57GB/s] model-00001-of-00006.safetensors: 22%|██▏ | 1.09G/4.98G [00:00<00:02, 1.69GB/s] model-00001-of-00006.safetensors: 25%|██▌ | 1.27G/4.98G [00:00<00:02, 1.70GB/s] model-00001-of-00006.safetensors: 29%|██▉ | 1.47G/4.98G [00:01<00:01, 1.77GB/s] model-00001-of-00006.safetensors: 34%|███▍ | 1.70G/4.98G [00:01<00:01, 1.90GB/s] model-00001-of-00006.safetensors: 39%|███▉ | 1.96G/4.98G [00:01<00:01, 2.05GB/s] model-00001-of-00006.safetensors: 44%|████▎ | 2.17G/4.98G [00:01<00:01, 1.98GB/s] model-00001-of-00006.safetensors: 49%|████▉ | 2.46G/4.98G [00:01<00:01, 2.24GB/s] model-00001-of-00006.safetensors: 54%|█████▍ | 2.69G/4.98G [00:01<00:01, 2.09GB/s] model-00001-of-00006.safetensors: 59%|█████▊ | 2.92G/4.98G [00:01<00:01, 2.06GB/s] model-00001-of-00006.safetensors: 63%|██████▎ | 3.12G/4.98G [00:01<00:00, 1.92GB/s] model-00001-of-00006.safetensors: 68%|██████▊ | 3.37G/4.98G [00:01<00:00, 1.99GB/s] model-00001-of-00006.safetensors: 72%|███████▏ | 3.58G/4.98G [00:02<00:00, 1.78GB/s] model-00001-of-00006.safetensors: 76%|███████▌ | 3.79G/4.98G [00:02<00:00, 1.81GB/s] model-00001-of-00006.safetensors: 80%|███████▉ | 3.97G/4.98G [00:02<00:00, 1.63GB/s] model-00001-of-00006.safetensors: 83%|████████▎ | 4.15G/4.98G [00:02<00:00, 1.66GB/s] model-00001-of-00006.safetensors: 87%|████████▋ | 4.33G/4.98G [00:02<00:00, 1.58GB/s] model-00001-of-00006.safetensors: 95%|█████████▍| 4.71G/4.98G [00:02<00:00, 2.14GB/s] model-00001-of-00006.safetensors: 100%|█████████▉| 4.98G/4.98G [00:02<00:00, 1.79GB/s]
Job khanhnto-khanhnto-v65-mkmlizer completed after 21.89s with status: failed
Stopping job with name khanhnto-khanhnto-v65-mkmlizer
%s, retrying in %s seconds...
Starting job with name khanhnto-khanhnto-v65-mkmlizer
Waiting for job on khanhnto-khanhnto-v65-mkmlizer to finish
khanhnto-khanhnto-v65-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
khanhnto-khanhnto-v65-mkmlizer: ║ _____ __ __ ║
khanhnto-khanhnto-v65-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
khanhnto-khanhnto-v65-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
khanhnto-khanhnto-v65-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
khanhnto-khanhnto-v65-mkmlizer: ║ /___/ ║
khanhnto-khanhnto-v65-mkmlizer: ║ ║
khanhnto-khanhnto-v65-mkmlizer: ║ Version: 0.6.11 ║
khanhnto-khanhnto-v65-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
khanhnto-khanhnto-v65-mkmlizer: ║ ║
khanhnto-khanhnto-v65-mkmlizer: ║ The license key for the current software has been verified as ║
khanhnto-khanhnto-v65-mkmlizer: ║ belonging to: ║
khanhnto-khanhnto-v65-mkmlizer: ║ ║
khanhnto-khanhnto-v65-mkmlizer: ║ Chai Research Corp. ║
khanhnto-khanhnto-v65-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
khanhnto-khanhnto-v65-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
khanhnto-khanhnto-v65-mkmlizer: ║ ║
khanhnto-khanhnto-v65-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
khanhnto-khanhnto-v65-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 18.4MB/s]
khanhnto-khanhnto-v65-mkmlizer: added_tokens.json: 0%| | 0.00/21.0 [00:00<?, ?B/s] added_tokens.json: 100%|██████████| 21.0/21.0 [00:00<00:00, 258kB/s]
khanhnto-khanhnto-v65-mkmlizer: config.json: 0%| | 0.00/702 [00:00<?, ?B/s] config.json: 100%|██████████| 702/702 [00:00<00:00, 11.1MB/s]
khanhnto-khanhnto-v65-mkmlizer: generation_config.json: 0%| | 0.00/137 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 137/137 [00:00<00:00, 1.12MB/s]
khanhnto-khanhnto-v65-mkmlizer: model-00001-of-00006.safetensors: 0%| | 0.00/4.98G [00:00<?, ?B/s] model-00001-of-00006.safetensors: 0%| | 10.5M/4.98G [00:00<00:52, 94.8MB/s] model-00001-of-00006.safetensors: 0%| | 21.0M/4.98G [00:00<00:52, 95.0MB/s] model-00001-of-00006.safetensors: 3%|▎ | 147M/4.98G [00:00<00:09, 532MB/s] model-00001-of-00006.safetensors: 6%|▌ | 304M/4.98G [00:00<00:05, 898MB/s] model-00001-of-00006.safetensors: 8%|▊ | 419M/4.98G [00:00<00:04, 962MB/s] model-00001-of-00006.safetensors: 14%|█▍ | 713M/4.98G [00:00<00:02, 1.58GB/s] model-00001-of-00006.safetensors: 18%|█▊ | 881M/4.98G [00:00<00:02, 1.57GB/s] model-00001-of-00006.safetensors: 22%|██▏ | 1.09G/4.98G [00:00<00:02, 1.69GB/s] model-00001-of-00006.safetensors: 25%|██▌ | 1.27G/4.98G [00:00<00:02, 1.70GB/s] model-00001-of-00006.safetensors: 29%|██▉ | 1.47G/4.98G [00:01<00:01, 1.77GB/s] model-00001-of-00006.safetensors: 34%|███▍ | 1.70G/4.98G [00:01<00:01, 1.90GB/s] model-00001-of-00006.safetensors: 39%|███▉ | 1.96G/4.98G [00:01<00:01, 2.05GB/s] model-00001-of-00006.safetensors: 44%|████▎ | 2.17G/4.98G [00:01<00:01, 1.98GB/s] model-00001-of-00006.safetensors: 49%|████▉ | 2.46G/4.98G [00:01<00:01, 2.24GB/s] model-00001-of-00006.safetensors: 54%|█████▍ | 2.69G/4.98G [00:01<00:01, 2.09GB/s] model-00001-of-00006.safetensors: 59%|█████▊ | 2.92G/4.98G [00:01<00:01, 2.06GB/s] model-00001-of-00006.safetensors: 63%|██████▎ | 3.12G/4.98G [00:01<00:00, 1.92GB/s] model-00001-of-00006.safetensors: 68%|██████▊ | 3.37G/4.98G [00:01<00:00, 1.99GB/s] model-00001-of-00006.safetensors: 72%|███████▏ | 3.58G/4.98G [00:02<00:00, 1.78GB/s] model-00001-of-00006.safetensors: 76%|███████▌ | 3.79G/4.98G [00:02<00:00, 1.81GB/s] model-00001-of-00006.safetensors: 80%|███████▉ | 3.97G/4.98G [00:02<00:00, 1.63GB/s] model-00001-of-00006.safetensors: 83%|████████▎ | 4.15G/4.98G [00:02<00:00, 1.66GB/s] model-00001-of-00006.safetensors: 87%|████████▋ | 4.33G/4.98G [00:02<00:00, 1.58GB/s] model-00001-of-00006.safetensors: 95%|█████████▍| 4.71G/4.98G [00:02<00:00, 2.14GB/s] model-00001-of-00006.safetensors: 100%|█████████▉| 4.98G/4.98G [00:02<00:00, 1.79GB/s]
khanhnto-khanhnto-v65-mkmlizer: model-00002-of-00006.safetensors: 0%| | 0.00/4.97G [00:00<?, ?B/s] model-00002-of-00006.safetensors: 0%| | 10.5M/4.97G [00:00<01:06, 74.3MB/s] model-00002-of-00006.safetensors: 3%|▎ | 126M/4.97G [00:00<00:07, 612MB/s] model-00002-of-00006.safetensors: 5%|▌ | 262M/4.97G [00:00<00:05, 912MB/s] model-00002-of-00006.safetensors: 9%|▉ | 472M/4.97G [00:00<00:03, 1.27GB/s] model-00002-of-00006.safetensors: 12%|█▏ | 608M/4.97G [00:00<00:04, 926MB/s] model-00002-of-00006.safetensors: 15%|█▍ | 744M/4.97G [00:00<00:04, 1.03GB/s] model-00002-of-00006.safetensors: 19%|█▉ | 944M/4.97G [00:00<00:03, 1.26GB/s] model-00002-of-00006.safetensors: 24%|██▍ | 1.22G/4.97G [00:00<00:02, 1.64GB/s] model-00002-of-00006.safetensors: 29%|██▉ | 1.46G/4.97G [00:01<00:01, 1.84GB/s] model-00002-of-00006.safetensors: 33%|███▎ | 1.66G/4.97G [00:01<00:01, 1.84GB/s] model-00002-of-00006.safetensors: 37%|███▋ | 1.86G/4.97G [00:01<00:01, 1.56GB/s] model-00002-of-00006.safetensors: 41%|████ | 2.03G/4.97G [00:01<00:02, 1.43GB/s] model-00002-of-00006.safetensors: 44%|████▍ | 2.20G/4.97G [00:01<00:01, 1.47GB/s] model-00002-of-00006.safetensors: 50%|████▉ | 2.46G/4.97G [00:01<00:01, 1.74GB/s] model-00002-of-00006.safetensors: 56%|█████▌ | 2.79G/4.97G [00:01<00:01, 2.13GB/s] model-00002-of-00006.safetensors: 61%|██████ | 3.02G/4.97G [00:01<00:00, 2.05GB/s] model-00002-of-00006.safetensors: 65%|██████▌ | 3.24G/4.97G [00:02<00:00, 1.85GB/s] model-00002-of-00006.safetensors: 69%|██████▉ | 3.44G/4.97G [00:02<00:00, 1.69GB/s] model-00002-of-00006.safetensors: 73%|███████▎ | 3.62G/4.97G [00:02<00:00, 1.55GB/s] model-00002-of-00006.safetensors: 78%|███████▊ | 3.86G/4.97G [00:02<00:00, 1.73GB/s] model-00002-of-00006.safetensors: 82%|████████▏ | 4.08G/4.97G [00:02<00:00, 1.82GB/s] model-00002-of-00006.safetensors: 87%|████████▋ | 4.32G/4.97G [00:02<00:00, 1.93GB/s] model-00002-of-00006.safetensors: 93%|█████████▎| 4.65G/4.97G [00:02<00:00, 2.28GB/s] model-00002-of-00006.safetensors: 100%|█████████▉| 4.97G/4.97G [00:02<00:00, 1.71GB/s]
khanhnto-khanhnto-v65-mkmlizer: model-00003-of-00006.safetensors: 0%| | 0.00/4.97G [00:00<?, ?B/s] model-00003-of-00006.safetensors: 0%| | 10.5M/4.97G [00:00<01:05, 75.3MB/s] model-00003-of-00006.safetensors: 2%|▏ | 105M/4.97G [00:00<00:09, 508MB/s] model-00003-of-00006.safetensors: 5%|▌ | 262M/4.97G [00:00<00:05, 938MB/s] model-00003-of-00006.safetensors: 7%|▋ | 367M/4.97G [00:00<00:04, 951MB/s] model-00003-of-00006.safetensors: 12%|█▏ | 577M/4.97G [00:00<00:03, 1.32GB/s] model-00003-of-00006.safetensors: 15%|█▍ | 724M/4.97G [00:00<00:03, 1.33GB/s] model-00003-of-00006.safetensors: 18%|█▊ | 881M/4.97G [00:00<00:02, 1.39GB/s] model-00003-of-00006.safetensors: 21%|██ | 1.04G/4.97G [00:00<00:02, 1.42GB/s] model-00003-of-00006.safetensors: 25%|██▍ | 1.24G/4.97G [00:00<00:02, 1.56GB/s] model-00003-of-00006.safetensors: 30%|███ | 1.51G/4.97G [00:01<00:01, 1.90GB/s] model-00003-of-00006.safetensors: 34%|███▍ | 1.71G/4.97G [00:01<00:01, 1.88GB/s] model-00003-of-00006.safetensors: 40%|███▉ | 1.97G/4.97G [00:01<00:01, 2.05GB/s] model-00003-of-00006.safetensors: 44%|████▍ | 2.19G/4.97G [00:01<00:01, 2.08GB/s] model-00003-of-00006.safetensors: 49%|████▊ | 2.41G/4.97G [00:01<00:01, 2.08GB/s] model-00003-of-00006.safetensors: 53%|█████▎ | 2.62G/4.97G [00:01<00:01, 1.74GB/s] model-00003-of-00006.safetensors: 57%|█████▋ | 2.81G/4.97G [00:01<00:01, 1.72GB/s] model-00003-of-00006.safetensors: 61%|██████ | 3.03G/4.97G [00:01<00:01, 1.83GB/s] model-00003-of-00006.safetensors: 67%|██████▋ | 3.31G/4.97G [00:01<00:00, 2.07GB/s] model-00003-of-00006.safetensors: 72%|███████▏ | 3.60G/4.97G [00:02<00:00, 2.28GB/s] model-00003-of-00006.safetensors: 77%|███████▋ | 3.84G/4.97G [00:02<00:00, 1.81GB/s] model-00003-of-00006.safetensors: 82%|████████▏ | 4.10G/4.97G [00:02<00:00, 1.99GB/s] model-00003-of-00006.safetensors: 87%|████████▋ | 4.32G/4.97G [00:02<00:00, 2.01GB/s] model-00003-of-00006.safetensors: 100%|█████████▉| 4.97G/4.97G [00:02<00:00, 2.55GB/s] model-00003-of-00006.safetensors: 100%|█████████▉| 4.97G/4.97G [00:02<00:00, 1.80GB/s]
khanhnto-khanhnto-v65-mkmlizer: model-00004-of-00006.safetensors: 0%| | 0.00/4.93G [00:00<?, ?B/s] model-00004-of-00006.safetensors: 0%| | 10.5M/4.93G [00:00<01:19, 61.8MB/s] model-00004-of-00006.safetensors: 3%|▎ | 168M/4.93G [00:00<00:06, 723MB/s] model-00004-of-00006.safetensors: 6%|▌ | 273M/4.93G [00:00<00:05, 794MB/s] model-00004-of-00006.safetensors: 8%|▊ | 409M/4.93G [00:00<00:04, 985MB/s] model-00004-of-00006.safetensors: 12%|█▏ | 577M/4.93G [00:00<00:03, 1.19GB/s] model-00004-of-00006.safetensors: 15%|█▍ | 734M/4.93G [00:00<00:03, 1.30GB/s] model-00004-of-00006.safetensors: 22%|██▏ | 1.07G/4.93G [00:00<00:02, 1.92GB/s] model-00004-of-00006.safetensors: 27%|██▋ | 1.31G/4.93G [00:00<00:01, 2.00GB/s] model-00004-of-00006.safetensors: 31%|███ | 1.52G/4.93G [00:01<00:01, 1.99GB/s] model-00004-of-00006.safetensors: 35%|███▌ | 1.73G/4.93G [00:01<00:01, 1.92GB/s] model-00004-of-00006.safetensors: 39%|███▉ | 1.93G/4.93G [00:01<00:01, 1.76GB/s] model-00004-of-00006.safetensors: 44%|████▍ | 2.17G/4.93G [00:01<00:01, 1.93GB/s] model-00004-of-00006.safetensors: 50%|████▉ | 2.44G/4.93G [00:01<00:01, 2.11GB/s] model-00004-of-00006.safetensors: 54%|█████▍ | 2.66G/4.93G [00:01<00:01, 2.13GB/s] model-00004-of-00006.safetensors: 60%|█████▉ | 2.96G/4.93G [00:01<00:00, 2.35GB/s] model-00004-of-00006.safetensors: 65%|██████▍ | 3.20G/4.93G [00:01<00:00, 2.32GB/s] model-00004-of-00006.safetensors: 70%|██████▉ | 3.44G/4.93G [00:01<00:00, 2.14GB/s] model-00004-of-00006.safetensors: 74%|███████▍ | 3.66G/4.93G [00:02<00:00, 2.11GB/s] model-00004-of-00006.safetensors: 79%|███████▉ | 3.90G/4.93G [00:02<00:00, 2.07GB/s] model-00004-of-00006.safetensors: 83%|████████▎ | 4.11G/4.93G [00:02<00:00, 2.01GB/s] model-00004-of-00006.safetensors: 89%|████████▉ | 4.40G/4.93G [00:02<00:00, 2.21GB/s] model-00004-of-00006.safetensors: 100%|█████████▉| 4.93G/4.93G [00:02<00:00, 1.95GB/s]
khanhnto-khanhnto-v65-mkmlizer: model-00005-of-00006.safetensors: 0%| | 0.00/4.93G [00:00<?, ?B/s] model-00005-of-00006.safetensors: 0%| | 10.5M/4.93G [00:00<01:08, 71.4MB/s] model-00005-of-00006.safetensors: 3%|▎ | 126M/4.93G [00:00<00:07, 603MB/s] model-00005-of-00006.safetensors: 5%|▍ | 231M/4.93G [00:00<00:06, 768MB/s] model-00005-of-00006.safetensors: 8%|▊ | 388M/4.93G [00:00<00:04, 1.00GB/s] model-00005-of-00006.safetensors: 10%|▉ | 493M/4.93G [00:00<00:04, 949MB/s] model-00005-of-00006.safetensors: 13%|█▎ | 661M/4.93G [00:00<00:03, 1.16GB/s] model-00005-of-00006.safetensors: 18%|█▊ | 912M/4.93G [00:00<00:02, 1.55GB/s] model-00005-of-00006.safetensors: 24%|██▎ | 1.16G/4.93G [00:00<00:02, 1.84GB/s] model-00005-of-00006.safetensors: 28%|██▊ | 1.36G/4.93G [00:01<00:01, 1.86GB/s] model-00005-of-00006.safetensors: 32%|███▏ | 1.59G/4.93G [00:01<00:01, 1.93GB/s] model-00005-of-00006.safetensors: 36%|███▋ | 1.79G/4.93G [00:01<00:01, 1.87GB/s] model-00005-of-00006.safetensors: 40%|████ | 1.98G/4.93G [00:01<00:01, 1.87GB/s] model-00005-of-00006.safetensors: 45%|████▌ | 2.22G/4.93G [00:01<00:01, 2.01GB/s] model-00005-of-00006.safetensors: 52%|█████▏ | 2.55G/4.93G [00:01<00:01, 2.34GB/s] model-00005-of-00006.safetensors: 59%|█████▉ | 2.93G/4.93G [00:01<00:00, 2.66GB/s] model-00005-of-00006.safetensors: 65%|██████▌ | 3.21G/4.93G [00:01<00:00, 2.70GB/s] model-00005-of-00006.safetensors: 71%|███████ | 3.48G/4.93G [00:01<00:00, 2.22GB/s] model-00005-of-00006.safetensors: 75%|███████▌ | 3.72G/4.93G [00:02<00:00, 1.84GB/s] model-00005-of-00006.safetensors: 80%|███████▉ | 3.93G/4.93G [00:02<00:00, 1.70GB/s] model-00005-of-00006.safetensors: 83%|████████▎ | 4.12G/4.93G [00:02<00:00, 1.70GB/s] model-00005-of-00006.safetensors: 88%|████████▊ | 4.33G/4.93G [00:02<00:00, 1.70GB/s] model-00005-of-00006.safetensors: 91%|█████████▏| 4.50G/4.93G [00:02<00:00, 1.37GB/s] model-00005-of-00006.safetensors: 94%|█████████▍| 4.66G/4.93G [00:03<00:00, 683MB/s] model-00005-of-00006.safetensors: 97%|█████████▋| 4.78G/4.93G [00:03<00:00, 494MB/s] model-00005-of-00006.safetensors: 99%|█████████▊| 4.87G/4.93G [00:04<00:00, 414MB/s] model-00005-of-00006.safetensors: 100%|█████████▉| 4.93G/4.93G [00:04<00:00, 992MB/s]
khanhnto-khanhnto-v65-mkmlizer: model-00006-of-00006.safetensors: 0%| | 0.00/1.25G [00:00<?, ?B/s] model-00006-of-00006.safetensors: 1%| | 10.5M/1.25G [00:00<00:17, 69.3MB/s] model-00006-of-00006.safetensors: 8%|▊ | 105M/1.25G [00:00<00:02, 474MB/s] model-00006-of-00006.safetensors: 22%|██▏ | 273M/1.25G [00:00<00:01, 948MB/s] model-00006-of-00006.safetensors: 32%|███▏ | 398M/1.25G [00:00<00:00, 1.03GB/s] model-00006-of-00006.safetensors: 45%|████▍ | 556M/1.25G [00:00<00:00, 1.19GB/s] model-00006-of-00006.safetensors: 55%|█████▍ | 682M/1.25G [00:00<00:00, 1.17GB/s] model-00006-of-00006.safetensors: 65%|██████▍ | 807M/1.25G [00:00<00:00, 1.13GB/s] model-00006-of-00006.safetensors: 75%|███████▍ | 931M/1.25G [00:00<00:00, 1.14GB/s] model-00006-of-00006.safetensors: 85%|████████▍ | 1.06G/1.25G [00:01<00:00, 742MB/s] model-00006-of-00006.safetensors: 92%|█████████▏| 1.15G/1.25G [00:02<00:00, 322MB/s] model-00006-of-00006.safetensors: 98%|█████████▊| 1.22G/1.25G [00:02<00:00, 316MB/s] model-00006-of-00006.safetensors: 100%|█████████▉| 1.25G/1.25G [00:02<00:00, 522MB/s]
khanhnto-khanhnto-v65-mkmlizer: model.safetensors.index.json: 0%| | 0.00/29.9k [00:00<?, ?B/s] model.safetensors.index.json: 100%|██████████| 29.9k/29.9k [00:00<00:00, 209MB/s]
khanhnto-khanhnto-v65-mkmlizer: special_tokens_map.json: 0%| | 0.00/548 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 548/548 [00:00<00:00, 8.91MB/s]
khanhnto-khanhnto-v65-mkmlizer: tokenizer.json: 0%| | 0.00/1.84M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.84M/1.84M [00:00<00:00, 11.2MB/s] tokenizer.json: 100%|██████████| 1.84M/1.84M [00:00<00:00, 11.2MB/s]
khanhnto-khanhnto-v65-mkmlizer: tokenizer.model: 0%| | 0.00/500k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 500k/500k [00:00<00:00, 11.7MB/s]
khanhnto-khanhnto-v65-mkmlizer: tokenizer_config.json: 0%| | 0.00/1.02k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 1.02k/1.02k [00:00<00:00, 16.8MB/s]
khanhnto-khanhnto-v65-mkmlizer: Downloaded to shared memory in 21.323s
khanhnto-khanhnto-v65-mkmlizer: quantizing model to /dev/shm/model_cache
khanhnto-khanhnto-v65-mkmlizer: Saving mkml model at /dev/shm/model_cache
khanhnto-khanhnto-v65-mkmlizer: Reading /tmp/tmp10bpklo_/model.safetensors.index.json
khanhnto-khanhnto-v65-mkmlizer: Profiling: 0%| | 0/363 [00:00<?, ?it/s] Profiling: 0%| | 1/363 [00:01<09:41, 1.61s/it] Profiling: 4%|▎ | 13/363 [00:01<00:33, 10.33it/s] Profiling: 8%|▊ | 28/363 [00:01<00:13, 24.81it/s] Profiling: 11%|█▏ | 41/363 [00:01<00:08, 38.04it/s] Profiling: 16%|█▌ | 57/363 [00:02<00:05, 56.39it/s] Profiling: 19%|█▉ | 70/363 [00:02<00:06, 48.00it/s] Profiling: 23%|██▎ | 83/363 [00:02<00:04, 60.10it/s] Profiling: 27%|██▋ | 98/363 [00:02<00:03, 74.20it/s] Profiling: 31%|███ | 112/363 [00:02<00:02, 87.18it/s] Profiling: 34%|███▍ | 125/363 [00:02<00:02, 96.18it/s] Profiling: 38%|███▊ | 139/363 [00:03<00:03, 67.22it/s] Profiling: 41%|████ | 149/363 [00:03<00:02, 71.68it/s] Profiling: 45%|████▌ | 165/363 [00:03<00:02, 88.95it/s] Profiling: 49%|████▉ | 179/363 [00:03<00:01, 99.54it/s] Profiling: 53%|█████▎ | 193/363 [00:03<00:01, 108.31it/s] Profiling: 58%|█████▊ | 209/363 [00:03<00:02, 76.07it/s] Profiling: 61%|██████ | 221/363 [00:04<00:01, 83.44it/s] Profiling: 65%|██████▌ | 237/363 [00:04<00:01, 99.14it/s] Profiling: 69%|██████▉ | 251/363 [00:04<00:01, 107.19it/s] Profiling: 73%|███████▎ | 265/363 [00:04<00:00, 114.57it/s] Profiling: 77%|███████▋ | 278/363 [00:04<00:01, 78.00it/s] Profiling: 80%|████████ | 292/363 [00:04<00:00, 88.89it/s] Profiling: 85%|████████▍ | 308/363 [00:04<00:00, 104.13it/s] Profiling: 88%|████████▊ | 321/363 [00:04<00:00, 108.82it/s] Profiling: 93%|█████████▎| 337/363 [00:05<00:00, 118.02it/s] Profiling: 97%|█████████▋| 351/363 [00:06<00:00, 23.33it/s] Profiling: 100%|██████████| 363/363 [00:06<00:00, 52.27it/s]
khanhnto-khanhnto-v65-mkmlizer: quantized model in 24.529s
khanhnto-khanhnto-v65-mkmlizer: Processed model khanhnto/khanhnto in 46.224s
khanhnto-khanhnto-v65-mkmlizer: creating bucket guanaco-mkml-models
khanhnto-khanhnto-v65-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
khanhnto-khanhnto-v65-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/khanhnto-khanhnto-v65
khanhnto-khanhnto-v65-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v65/config.json
khanhnto-khanhnto-v65-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v65/tokenizer_config.json
khanhnto-khanhnto-v65-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/khanhnto-khanhnto-v65/tokenizer.model
khanhnto-khanhnto-v65-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/khanhnto-khanhnto-v65/special_tokens_map.json
khanhnto-khanhnto-v65-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/khanhnto-khanhnto-v65/added_tokens.json
khanhnto-khanhnto-v65-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/khanhnto-khanhnto-v65/tokenizer.json
khanhnto-khanhnto-v65-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/khanhnto-khanhnto-v65/mkml_model.tensors
khanhnto-khanhnto-v65-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 16.6MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 16.5MB/s]
khanhnto-khanhnto-v65-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.
khanhnto-khanhnto-v65-mkmlizer: warnings.warn(
khanhnto-khanhnto-v65-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:33, 43.1MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:00<00:09, 143MB/s] pytorch_model.bin: 6%|▌ | 83.9M/1.44G [00:00<00:06, 220MB/s] pytorch_model.bin: 8%|▊ | 115M/1.44G [00:00<00:06, 205MB/s] pytorch_model.bin: 10%|█ | 147M/1.44G [00:00<00:06, 206MB/s] pytorch_model.bin: 17%|█▋ | 252M/1.44G [00:00<00:02, 414MB/s] pytorch_model.bin: 21%|██ | 304M/1.44G [00:01<00:02, 427MB/s] pytorch_model.bin: 32%|███▏ | 461M/1.44G [00:01<00:01, 726MB/s] pytorch_model.bin: 60%|█████▉ | 860M/1.44G [00:01<00:00, 1.61GB/s] pytorch_model.bin: 80%|███████▉ | 1.15G/1.44G [00:01<00:00, 1.87GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.05GB/s]
khanhnto-khanhnto-v65-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
khanhnto-khanhnto-v65-mkmlizer: Saving duration: 0.246s
khanhnto-khanhnto-v65-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 4.935s
khanhnto-khanhnto-v65-mkmlizer: creating bucket guanaco-reward-models
khanhnto-khanhnto-v65-mkmlizer: Bucket 's3://guanaco-reward-models/' created
khanhnto-khanhnto-v65-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/khanhnto-khanhnto-v65_reward
khanhnto-khanhnto-v65-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/khanhnto-khanhnto-v65_reward/config.json
khanhnto-khanhnto-v65-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/khanhnto-khanhnto-v65_reward/special_tokens_map.json
khanhnto-khanhnto-v65-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/khanhnto-khanhnto-v65_reward/tokenizer_config.json
khanhnto-khanhnto-v65-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/khanhnto-khanhnto-v65_reward/merges.txt
khanhnto-khanhnto-v65-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/khanhnto-khanhnto-v65_reward/vocab.json
khanhnto-khanhnto-v65-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/khanhnto-khanhnto-v65_reward/tokenizer.json
khanhnto-khanhnto-v65-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/khanhnto-khanhnto-v65_reward/reward.tensors
Job khanhnto-khanhnto-v65-mkmlizer completed after 74.72s with status: succeeded
Stopping job with name khanhnto-khanhnto-v65-mkmlizer
Pipeline stage MKMLizer completed in 101.77s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service khanhnto-khanhnto-v65
Waiting for inference service khanhnto-khanhnto-v65 to be ready
Inference service khanhnto-khanhnto-v65 ready after 60.34219574928284s
Pipeline stage ISVCDeployer completed in 67.84s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7906079292297363s
Received healthy response to inference request in 1.275606393814087s
Received healthy response to inference request in 1.5494067668914795s
Received healthy response to inference request in 1.7194786071777344s
Received healthy response to inference request in 2.123440742492676s
5 requests
0 failed requests
5th percentile: 1.3303664684295655
10th percentile: 1.385126543045044
20th percentile: 1.4946466922760009
30th percentile: 1.5834211349487304
40th percentile: 1.6514498710632324
50th percentile: 1.7194786071777344
60th percentile: 1.7479303359985352
70th percentile: 1.776382064819336
80th percentile: 1.8571744918823243
90th percentile: 1.9903076171875
95th percentile: 2.056874179840088
99th percentile: 2.110127429962158
mean time: 1.6917080879211426
Pipeline stage StressChecker completed in 9.46s
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 0.06s
M-Eval Dataset for topic stay_in_character is loaded
khanhnto-khanhnto_v65 status is now deployed due to DeploymentManager action
khanhnto-khanhnto_v65 status is now inactive due to auto deactivation removed underperforming models
khanhnto-khanhnto_v65 status is now deployed due to admin request
khanhnto-khanhnto_v65 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of khanhnto-khanhnto_v65
Running pipeline stage ISVCDeleter
Checking if service khanhnto-khanhnto-v65 is running
Tearing down inference service khanhnto-khanhnto-v65
Toredown service khanhnto-khanhnto-v65
Pipeline stage ISVCDeleter completed in 7.22s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key khanhnto-khanhnto-v65/added_tokens.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v65/config.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v65/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v65/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v65/tokenizer.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v65/tokenizer.model from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v65/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key khanhnto-khanhnto-v65_reward/config.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v65_reward/merges.txt from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v65_reward/reward.tensors from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v65_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v65_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v65_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v65_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.34s
khanhnto-khanhnto_v65 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics