submission_id: khanhnto-khanhnto_v62
developer_uid: chai_backend_admin
status: inactive
model_repo: khanhnto/khanhnto
reward_repo: rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99
generation_params: {'temperature': 1.2, 'top_p': 0.7, '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': 156}
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}:'}
reward_formatter: {'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:'}
timestamp: 2024-03-31T01:30:41+00:00
model_name: khanhnto-156
model_eval_status: success
safety_score: 0.99
entertaining: 6.86
stay_in_character: 8.71
user_preference: 7.24
double_thumbs_up: 280
thumbs_up: 392
thumbs_down: 218
num_battles: 24754
num_wins: 12702
win_ratio: 0.5131291912418195
celo_rating: 1163.55
Resubmit model
Running pipeline stage MKMLizer
Starting job with name khanhnto-khanhnto-v62-mkmlizer
Waiting for job on khanhnto-khanhnto-v62-mkmlizer to finish
khanhnto-khanhnto-v62-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
khanhnto-khanhnto-v62-mkmlizer: ║ _____ __ __ ║
khanhnto-khanhnto-v62-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
khanhnto-khanhnto-v62-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
khanhnto-khanhnto-v62-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
khanhnto-khanhnto-v62-mkmlizer: ║ /___/ ║
khanhnto-khanhnto-v62-mkmlizer: ║ ║
khanhnto-khanhnto-v62-mkmlizer: ║ Version: 0.6.11 ║
khanhnto-khanhnto-v62-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
khanhnto-khanhnto-v62-mkmlizer: ║ ║
khanhnto-khanhnto-v62-mkmlizer: ║ The license key for the current software has been verified as ║
khanhnto-khanhnto-v62-mkmlizer: ║ belonging to: ║
khanhnto-khanhnto-v62-mkmlizer: ║ ║
khanhnto-khanhnto-v62-mkmlizer: ║ Chai Research Corp. ║
khanhnto-khanhnto-v62-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
khanhnto-khanhnto-v62-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
khanhnto-khanhnto-v62-mkmlizer: ║ ║
khanhnto-khanhnto-v62-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
khanhnto-khanhnto-v62-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 17.7MB/s]
khanhnto-khanhnto-v62-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, 174kB/s]
khanhnto-khanhnto-v62-mkmlizer: config.json: 0%| | 0.00/702 [00:00<?, ?B/s] config.json: 100%|██████████| 702/702 [00:00<00:00, 5.66MB/s]
khanhnto-khanhnto-v62-mkmlizer: generation_config.json: 0%| | 0.00/137 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 137/137 [00:00<00:00, 1.74MB/s]
khanhnto-khanhnto-v62-mkmlizer: model-00001-of-00006.safetensors: 0%| | 0.00/4.98G [00:00<?, ?B/s] model-00001-of-00006.safetensors: 0%| | 21.0M/4.98G [00:00<00:28, 174MB/s] model-00001-of-00006.safetensors: 2%|▏ | 94.4M/4.98G [00:00<00:10, 450MB/s] model-00001-of-00006.safetensors: 5%|▌ | 262M/4.98G [00:00<00:05, 943MB/s] model-00001-of-00006.safetensors: 8%|▊ | 398M/4.98G [00:00<00:04, 1.09GB/s] model-00001-of-00006.safetensors: 11%|█ | 524M/4.98G [00:00<00:03, 1.12GB/s] model-00001-of-00006.safetensors: 13%|█▎ | 661M/4.98G [00:00<00:03, 1.20GB/s] model-00001-of-00006.safetensors: 16%|█▌ | 797M/4.98G [00:00<00:03, 1.25GB/s] model-00001-of-00006.safetensors: 19%|█▉ | 944M/4.98G [00:00<00:03, 1.24GB/s] model-00001-of-00006.safetensors: 24%|██▎ | 1.17G/4.98G [00:00<00:02, 1.54GB/s] model-00001-of-00006.safetensors: 28%|██▊ | 1.38G/4.98G [00:01<00:02, 1.69GB/s] model-00001-of-00006.safetensors: 33%|███▎ | 1.67G/4.98G [00:01<00:01, 1.98GB/s] model-00001-of-00006.safetensors: 37%|███▋ | 1.87G/4.98G [00:01<00:01, 1.93GB/s] model-00001-of-00006.safetensors: 41%|████▏ | 2.07G/4.98G [00:01<00:01, 1.72GB/s] model-00001-of-00006.safetensors: 46%|████▌ | 2.28G/4.98G [00:01<00:01, 1.80GB/s] model-00001-of-00006.safetensors: 52%|█████▏ | 2.58G/4.98G [00:01<00:01, 2.10GB/s] model-00001-of-00006.safetensors: 59%|█████▉ | 2.93G/4.98G [00:01<00:00, 2.48GB/s] model-00001-of-00006.safetensors: 64%|██████▍ | 3.19G/4.98G [00:01<00:00, 2.29GB/s] model-00001-of-00006.safetensors: 69%|██████▉ | 3.43G/4.98G [00:02<00:00, 2.15GB/s] model-00001-of-00006.safetensors: 76%|███████▌ | 3.76G/4.98G [00:02<00:00, 2.35GB/s] model-00001-of-00006.safetensors: 82%|████████▏ | 4.09G/4.98G [00:02<00:00, 2.57GB/s] model-00001-of-00006.safetensors: 87%|████████▋ | 4.35G/4.98G [00:02<00:00, 2.49GB/s] model-00001-of-00006.safetensors: 93%|█████████▎| 4.61G/4.98G [00:02<00:00, 1.23GB/s] model-00001-of-00006.safetensors: 97%|█████████▋| 4.81G/4.98G [00:03<00:00, 921MB/s] model-00001-of-00006.safetensors: 100%|█████████▉| 4.97G/4.98G [00:04<00:00, 482MB/s] model-00001-of-00006.safetensors: 100%|█████████▉| 4.98G/4.98G [00:04<00:00, 1.13GB/s]
khanhnto-khanhnto-v62-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<01:14, 66.7MB/s] model-00002-of-00006.safetensors: 3%|▎ | 157M/4.97G [00:00<00:06, 712MB/s] model-00002-of-00006.safetensors: 5%|▍ | 241M/4.97G [00:00<00:06, 724MB/s] model-00002-of-00006.safetensors: 7%|▋ | 367M/4.97G [00:00<00:05, 887MB/s] model-00002-of-00006.safetensors: 11%|█ | 524M/4.97G [00:00<00:04, 1.05GB/s] model-00002-of-00006.safetensors: 15%|█▍ | 744M/4.97G [00:00<00:03, 1.40GB/s] model-00002-of-00006.safetensors: 23%|██▎ | 1.16G/4.97G [00:00<00:01, 2.25GB/s] model-00002-of-00006.safetensors: 31%|███ | 1.52G/4.97G [00:00<00:01, 2.59GB/s] model-00002-of-00006.safetensors: 36%|███▌ | 1.79G/4.97G [00:01<00:01, 2.56GB/s] model-00002-of-00006.safetensors: 41%|████▏ | 2.06G/4.97G [00:01<00:01, 2.35GB/s] model-00002-of-00006.safetensors: 46%|████▌ | 2.30G/4.97G [00:01<00:01, 2.02GB/s] model-00002-of-00006.safetensors: 51%|█████ | 2.52G/4.97G [00:01<00:01, 1.92GB/s] model-00002-of-00006.safetensors: 55%|█████▌ | 2.74G/4.97G [00:01<00:01, 1.97GB/s] model-00002-of-00006.safetensors: 59%|█████▉ | 2.96G/4.97G [00:01<00:00, 2.02GB/s] model-00002-of-00006.safetensors: 64%|██████▎ | 3.17G/4.97G [00:01<00:00, 1.88GB/s] model-00002-of-00006.safetensors: 68%|██████▊ | 3.37G/4.97G [00:01<00:00, 1.91GB/s] model-00002-of-00006.safetensors: 72%|███████▏ | 3.60G/4.97G [00:01<00:00, 1.99GB/s] model-00002-of-00006.safetensors: 77%|███████▋ | 3.82G/4.97G [00:02<00:00, 2.05GB/s] model-00002-of-00006.safetensors: 81%|████████ | 4.03G/4.97G [00:02<00:00, 2.04GB/s] model-00002-of-00006.safetensors: 87%|████████▋ | 4.31G/4.97G [00:02<00:00, 2.23GB/s] model-00002-of-00006.safetensors: 91%|█████████▏| 4.54G/4.97G [00:02<00:00, 2.21GB/s] model-00002-of-00006.safetensors: 100%|█████████▉| 4.97G/4.97G [00:05<00:00, 977MB/s]
khanhnto-khanhnto-v62-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<01:30, 54.8MB/s] model-00003-of-00006.safetensors: 2%|▏ | 94.4M/4.97G [00:00<00:12, 389MB/s] model-00003-of-00006.safetensors: 5%|▌ | 262M/4.97G [00:00<00:05, 842MB/s] model-00003-of-00006.safetensors: 8%|▊ | 419M/4.97G [00:00<00:04, 1.09GB/s] model-00003-of-00006.safetensors: 12%|█▏ | 587M/4.97G [00:00<00:03, 1.25GB/s] model-00003-of-00006.safetensors: 16%|█▌ | 797M/4.97G [00:00<00:02, 1.51GB/s] model-00003-of-00006.safetensors: 19%|█▉ | 965M/4.97G [00:00<00:02, 1.53GB/s] model-00003-of-00006.safetensors: 23%|██▎ | 1.14G/4.97G [00:00<00:02, 1.59GB/s] model-00003-of-00006.safetensors: 26%|██▋ | 1.31G/4.97G [00:01<00:02, 1.58GB/s] model-00003-of-00006.safetensors: 30%|███ | 1.51G/4.97G [00:01<00:02, 1.60GB/s] model-00003-of-00006.safetensors: 34%|███▍ | 1.68G/4.97G [00:01<00:02, 1.53GB/s] model-00003-of-00006.safetensors: 37%|███▋ | 1.86G/4.97G [00:01<00:02, 1.54GB/s] model-00003-of-00006.safetensors: 42%|████▏ | 2.07G/4.97G [00:01<00:01, 1.65GB/s] model-00003-of-00006.safetensors: 47%|████▋ | 2.32G/4.97G [00:01<00:01, 1.89GB/s] model-00003-of-00006.safetensors: 55%|█████▍ | 2.73G/4.97G [00:01<00:00, 2.46GB/s] model-00003-of-00006.safetensors: 60%|█████▉ | 2.98G/4.97G [00:01<00:00, 2.37GB/s] model-00003-of-00006.safetensors: 65%|██████▍ | 3.22G/4.97G [00:01<00:00, 2.28GB/s] model-00003-of-00006.safetensors: 69%|██████▉ | 3.45G/4.97G [00:02<00:00, 2.16GB/s] model-00003-of-00006.safetensors: 74%|███████▍ | 3.67G/4.97G [00:02<00:00, 1.99GB/s] model-00003-of-00006.safetensors: 78%|███████▊ | 3.88G/4.97G [00:02<00:00, 1.69GB/s] model-00003-of-00006.safetensors: 85%|████████▍ | 4.20G/4.97G [00:02<00:00, 2.06GB/s] model-00003-of-00006.safetensors: 93%|█████████▎| 4.60G/4.97G [00:02<00:00, 2.54GB/s] model-00003-of-00006.safetensors: 99%|█████████▊| 4.91G/4.97G [00:02<00:00, 2.49GB/s] model-00003-of-00006.safetensors: 100%|█████████▉| 4.97G/4.97G [00:05<00:00, 978MB/s]
khanhnto-khanhnto-v62-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<01:22, 60.0MB/s] model-00004-of-00006.safetensors: 3%|▎ | 136M/4.93G [00:00<00:08, 587MB/s] model-00004-of-00006.safetensors: 5%|▍ | 231M/4.93G [00:00<00:06, 676MB/s] model-00004-of-00006.safetensors: 8%|▊ | 377M/4.93G [00:00<00:04, 918MB/s] model-00004-of-00006.safetensors: 10%|▉ | 482M/4.93G [00:00<00:06, 727MB/s] model-00004-of-00006.safetensors: 13%|█▎ | 661M/4.93G [00:00<00:04, 986MB/s] model-00004-of-00006.safetensors: 18%|█▊ | 881M/4.93G [00:00<00:03, 1.31GB/s] model-00004-of-00006.safetensors: 26%|██▌ | 1.29G/4.93G [00:01<00:01, 2.07GB/s] model-00004-of-00006.safetensors: 32%|███▏ | 1.58G/4.93G [00:01<00:01, 2.30GB/s] model-00004-of-00006.safetensors: 38%|███▊ | 1.87G/4.93G [00:01<00:01, 2.41GB/s] model-00004-of-00006.safetensors: 43%|████▎ | 2.13G/4.93G [00:01<00:01, 2.11GB/s] model-00004-of-00006.safetensors: 48%|████▊ | 2.36G/4.93G [00:01<00:01, 1.60GB/s] model-00004-of-00006.safetensors: 54%|█████▍ | 2.67G/4.93G [00:01<00:01, 1.93GB/s] model-00004-of-00006.safetensors: 61%|██████ | 3.00G/4.93G [00:01<00:00, 2.22GB/s] model-00004-of-00006.safetensors: 68%|██████▊ | 3.36G/4.93G [00:01<00:00, 2.54GB/s] model-00004-of-00006.safetensors: 74%|███████▎ | 3.64G/4.93G [00:02<00:00, 2.15GB/s] model-00004-of-00006.safetensors: 79%|███████▉ | 3.89G/4.93G [00:02<00:00, 2.02GB/s] model-00004-of-00006.safetensors: 86%|████████▌ | 4.24G/4.93G [00:02<00:00, 2.35GB/s] model-00004-of-00006.safetensors: 96%|█████████▌| 4.72G/4.93G [00:02<00:00, 2.90GB/s] model-00004-of-00006.safetensors: 100%|█████████▉| 4.93G/4.93G [00:02<00:00, 1.72GB/s]
khanhnto-khanhnto-v62-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<01:05, 75.7MB/s] model-00005-of-00006.safetensors: 3%|▎ | 126M/4.93G [00:00<00:09, 494MB/s] model-00005-of-00006.safetensors: 6%|▌ | 294M/4.93G [00:00<00:05, 921MB/s] model-00005-of-00006.safetensors: 9%|▊ | 419M/4.93G [00:00<00:04, 993MB/s] model-00005-of-00006.safetensors: 12%|█▏ | 577M/4.93G [00:00<00:03, 1.15GB/s] model-00005-of-00006.safetensors: 15%|█▌ | 744M/4.93G [00:00<00:03, 1.25GB/s] model-00005-of-00006.safetensors: 21%|██ | 1.03G/4.93G [00:00<00:02, 1.70GB/s] model-00005-of-00006.safetensors: 25%|██▍ | 1.23G/4.93G [00:00<00:02, 1.73GB/s] model-00005-of-00006.safetensors: 30%|██▉ | 1.47G/4.93G [00:01<00:01, 1.92GB/s] model-00005-of-00006.safetensors: 35%|███▌ | 1.74G/4.93G [00:01<00:01, 1.97GB/s] model-00005-of-00006.safetensors: 40%|███▉ | 1.95G/4.93G [00:01<00:01, 1.84GB/s] model-00005-of-00006.safetensors: 45%|████▌ | 2.24G/4.93G [00:01<00:01, 2.13GB/s] model-00005-of-00006.safetensors: 50%|████▉ | 2.46G/4.93G [00:01<00:01, 2.09GB/s] model-00005-of-00006.safetensors: 55%|█████▍ | 2.71G/4.93G [00:01<00:01, 2.16GB/s] model-00005-of-00006.safetensors: 59%|█████▉ | 2.93G/4.93G [00:01<00:01, 1.98GB/s] model-00005-of-00006.safetensors: 64%|██████▍ | 3.16G/4.93G [00:01<00:00, 2.06GB/s] model-00005-of-00006.safetensors: 68%|██████▊ | 3.38G/4.93G [00:02<00:00, 1.81GB/s] model-00005-of-00006.safetensors: 72%|███████▏ | 3.58G/4.93G [00:02<00:00, 1.82GB/s] model-00005-of-00006.safetensors: 78%|███████▊ | 3.86G/4.93G [00:02<00:00, 2.08GB/s] model-00005-of-00006.safetensors: 85%|████████▍ | 4.18G/4.93G [00:02<00:00, 2.36GB/s] model-00005-of-00006.safetensors: 90%|█████████ | 4.45G/4.93G [00:02<00:00, 2.42GB/s] model-00005-of-00006.safetensors: 95%|█████████▌| 4.70G/4.93G [00:02<00:00, 1.46GB/s] model-00005-of-00006.safetensors: 99%|█████████▉| 4.90G/4.93G [00:02<00:00, 1.29GB/s] model-00005-of-00006.safetensors: 100%|█████████▉| 4.93G/4.93G [00:03<00:00, 1.63GB/s]
khanhnto-khanhnto-v62-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, 70.6MB/s] model-00006-of-00006.safetensors: 8%|▊ | 94.4M/1.25G [00:00<00:02, 440MB/s] model-00006-of-00006.safetensors: 14%|█▍ | 178M/1.25G [00:00<00:01, 574MB/s] model-00006-of-00006.safetensors: 20%|██ | 252M/1.25G [00:00<00:01, 519MB/s] model-00006-of-00006.safetensors: 29%|██▊ | 357M/1.25G [00:00<00:01, 598MB/s] model-00006-of-00006.safetensors: 46%|████▋ | 577M/1.25G [00:00<00:00, 1.01GB/s] model-00006-of-00006.safetensors: 100%|█████████▉| 1.25G/1.25G [00:00<00:00, 1.39GB/s]
khanhnto-khanhnto-v62-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, 151MB/s]
khanhnto-khanhnto-v62-mkmlizer: special_tokens_map.json: 0%| | 0.00/548 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 548/548 [00:00<00:00, 5.05MB/s]
khanhnto-khanhnto-v62-mkmlizer: tokenizer.json: 0%| | 0.00/1.84M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.84M/1.84M [00:00<00:00, 26.0MB/s]
khanhnto-khanhnto-v62-mkmlizer: tokenizer.model: 0%| | 0.00/500k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 500k/500k [00:00<00:00, 65.4MB/s]
khanhnto-khanhnto-v62-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, 9.52MB/s]
khanhnto-khanhnto-v62-mkmlizer: Downloaded to shared memory in 23.426s
khanhnto-khanhnto-v62-mkmlizer: quantizing model to /dev/shm/model_cache
khanhnto-khanhnto-v62-mkmlizer: Saving mkml model at /dev/shm/model_cache
khanhnto-khanhnto-v62-mkmlizer: Reading /tmp/tmpfkk5wmrk/model.safetensors.index.json
khanhnto-khanhnto-v62-mkmlizer: Profiling: 0%| | 0/363 [00:00<?, ?it/s] Profiling: 0%| | 1/363 [00:01<10:31, 1.74s/it] Profiling: 4%|▎ | 13/363 [00:01<00:36, 9.52it/s] Profiling: 8%|▊ | 28/363 [00:01<00:14, 23.00it/s] Profiling: 11%|█ | 40/363 [00:02<00:09, 34.15it/s] Profiling: 15%|█▍ | 54/363 [00:02<00:06, 49.51it/s] Profiling: 19%|█▉ | 69/363 [00:02<00:06, 48.70it/s] Profiling: 22%|██▏ | 80/363 [00:02<00:04, 56.92it/s] Profiling: 26%|██▌ | 94/363 [00:02<00:03, 70.90it/s] Profiling: 30%|██▉ | 108/363 [00:02<00:03, 82.59it/s] Profiling: 34%|███▍ | 123/363 [00:02<00:02, 96.20it/s] Profiling: 38%|███▊ | 138/363 [00:03<00:02, 107.57it/s] Profiling: 42%|████▏ | 151/363 [00:03<00:03, 64.67it/s] Profiling: 45%|████▌ | 165/363 [00:03<00:02, 77.40it/s] Profiling: 49%|████▉ | 177/363 [00:03<00:02, 83.02it/s] Profiling: 53%|█████▎ | 192/363 [00:03<00:01, 96.74it/s] Profiling: 56%|█████▋ | 205/363 [00:03<00:01, 104.24it/s] Profiling: 60%|██████ | 218/363 [00:04<00:02, 68.53it/s] Profiling: 63%|██████▎ | 229/363 [00:04<00:01, 75.88it/s] Profiling: 67%|██████▋ | 242/363 [00:04<00:01, 86.82it/s] Profiling: 71%|███████ | 256/363 [00:04<00:01, 96.25it/s] Profiling: 75%|███████▍ | 271/363 [00:04<00:00, 107.67it/s] Profiling: 78%|███████▊ | 284/363 [00:04<00:01, 68.39it/s] Profiling: 83%|████████▎ | 300/363 [00:05<00:00, 84.04it/s] Profiling: 86%|████████▌ | 313/363 [00:05<00:00, 92.75it/s] Profiling: 90%|█████████ | 327/363 [00:05<00:00, 101.15it/s] Profiling: 94%|█████████▎| 340/363 [00:05<00:00, 100.15it/s] Profiling: 97%|█████████▋| 352/363 [00:07<00:00, 19.51it/s] Profiling: 100%|██████████| 363/363 [00:07<00:00, 48.33it/s]
khanhnto-khanhnto-v62-mkmlizer: quantized model in 26.107s
khanhnto-khanhnto-v62-mkmlizer: Processed model khanhnto/khanhnto in 51.295s
khanhnto-khanhnto-v62-mkmlizer: creating bucket guanaco-mkml-models
khanhnto-khanhnto-v62-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
khanhnto-khanhnto-v62-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/khanhnto-khanhnto-v62
khanhnto-khanhnto-v62-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v62/config.json
khanhnto-khanhnto-v62-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/khanhnto-khanhnto-v62/added_tokens.json
khanhnto-khanhnto-v62-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v62/tokenizer_config.json
khanhnto-khanhnto-v62-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/khanhnto-khanhnto-v62/special_tokens_map.json
khanhnto-khanhnto-v62-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/khanhnto-khanhnto-v62/tokenizer.model
khanhnto-khanhnto-v62-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/khanhnto-khanhnto-v62/tokenizer.json
khanhnto-khanhnto-v62-mkmlizer: loading reward model from rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99
khanhnto-khanhnto-v62-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.
khanhnto-khanhnto-v62-mkmlizer: warnings.warn(
khanhnto-khanhnto-v62-mkmlizer: config.json: 0%| | 0.00/983 [00:00<?, ?B/s] config.json: 100%|██████████| 983/983 [00:00<00:00, 12.8MB/s]
khanhnto-khanhnto-v62-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.
khanhnto-khanhnto-v62-mkmlizer: warnings.warn(
khanhnto-khanhnto-v62-mkmlizer: tokenizer_config.json: 0%| | 0.00/445 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 445/445 [00:00<00:00, 3.31MB/s]
khanhnto-khanhnto-v62-mkmlizer: vocab.json: 0%| | 0.00/798k [00:00<?, ?B/s] vocab.json: 100%|██████████| 798k/798k [00:00<00:00, 18.0MB/s]
khanhnto-khanhnto-v62-mkmlizer: merges.txt: 0%| | 0.00/456k [00:00<?, ?B/s] merges.txt: 100%|██████████| 456k/456k [00:00<00:00, 14.2MB/s]
khanhnto-khanhnto-v62-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 67.2MB/s]
khanhnto-khanhnto-v62-mkmlizer: special_tokens_map.json: 0%| | 0.00/441 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 441/441 [00:00<00:00, 3.22MB/s]
khanhnto-khanhnto-v62-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-v62-mkmlizer: warnings.warn(
khanhnto-khanhnto-v62-mkmlizer: model.safetensors.index.json: 0%| | 0.00/10.5k [00:00<?, ?B/s] model.safetensors.index.json: 100%|██████████| 10.5k/10.5k [00:00<00:00, 42.2MB/s]
khanhnto-khanhnto-v62-mkmlizer: Downloading shards: 0%| | 0/1 [00:00<?, ?it/s]
khanhnto-khanhnto-v62-mkmlizer: model-00001-of-00001.safetensors: 0%| | 0.00/249M [00:00<?, ?B/s]
khanhnto-khanhnto-v62-mkmlizer: model-00001-of-00001.safetensors: 8%|▊ | 21.0M/249M [00:00<00:01, 180MB/s]
khanhnto-khanhnto-v62-mkmlizer: model-00001-of-00001.safetensors: 59%|█████▉ | 147M/249M [00:00<00:00, 769MB/s]  model-00001-of-00001.safetensors: 100%|█████████▉| 249M/249M [00:00<00:00, 921MB/s]
khanhnto-khanhnto-v62-mkmlizer: Downloading shards: 100%|██████████| 1/1 [00:00<00:00, 2.15it/s] Downloading shards: 100%|██████████| 1/1 [00:00<00:00, 2.14it/s]
khanhnto-khanhnto-v62-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
khanhnto-khanhnto-v62-mkmlizer: Saving duration: 0.093s
khanhnto-khanhnto-v62-mkmlizer: Processed model rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99 in 2.093s
khanhnto-khanhnto-v62-mkmlizer: creating bucket guanaco-reward-models
khanhnto-khanhnto-v62-mkmlizer: Bucket 's3://guanaco-reward-models/' created
khanhnto-khanhnto-v62-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/khanhnto-khanhnto-v62_reward
khanhnto-khanhnto-v62-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/khanhnto-khanhnto-v62_reward/special_tokens_map.json
khanhnto-khanhnto-v62-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/khanhnto-khanhnto-v62_reward/config.json
khanhnto-khanhnto-v62-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/khanhnto-khanhnto-v62_reward/tokenizer_config.json
khanhnto-khanhnto-v62-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/khanhnto-khanhnto-v62_reward/merges.txt
khanhnto-khanhnto-v62-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/khanhnto-khanhnto-v62_reward/vocab.json
khanhnto-khanhnto-v62-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/khanhnto-khanhnto-v62_reward/tokenizer.json
khanhnto-khanhnto-v62-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/khanhnto-khanhnto-v62_reward/reward.tensors
Job khanhnto-khanhnto-v62-mkmlizer completed after 75.26s with status: succeeded
Stopping job with name khanhnto-khanhnto-v62-mkmlizer
Pipeline stage MKMLizer completed in 80.58s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service khanhnto-khanhnto-v62
Waiting for inference service khanhnto-khanhnto-v62 to be ready
Inference service khanhnto-khanhnto-v62 ready after 60.35029745101929s
Pipeline stage ISVCDeployer completed in 68.25s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.071058988571167s
Received healthy response to inference request in 1.0554683208465576s
Received healthy response to inference request in 1.1513028144836426s
%s, retrying in %s seconds...
Received healthy response to inference request in 15.583925485610962s
Received healthy response to inference request in 1.5302114486694336s
Received healthy response to inference request in 2.1588759422302246s
Received healthy response to inference request in 1.8824687004089355s
Received healthy response to inference request in 1.485884666442871s
5 requests
0 failed requests
5th percentile: 1.4947500228881836
10th percentile: 1.503615379333496
20th percentile: 1.521346092224121
30th percentile: 1.600662899017334
40th percentile: 1.7415657997131349
50th percentile: 1.8824687004089355
60th percentile: 1.9930315971374513
70th percentile: 2.1035944938659665
80th percentile: 4.843885850906375
90th percentile: 10.213905668258668
95th percentile: 12.898915576934812
99th percentile: 15.046923503875732
mean time: 4.528273248672486
Pipeline stage StressChecker completed in 48.29s
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
khanhnto-khanhnto_v62 status is now deployed due to DeploymentManager action
khanhnto-khanhnto_v62 status is now inactive due to admin request
khanhnto-khanhnto_v62 status is now deployed due to admin request
khanhnto-khanhnto_v62 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics