submission_id: khanhnto-khanhnto_v59
developer_uid: chai_backend_admin
status: torndown
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, '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': 48}
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: 2024-03-31T01:29:49+00:00
model_name: khanhnto-48
model_eval_status: success
model_group: khanhnto/khanhnto
num_battles: 20843
num_wins: 9085
celo_rating: 1112.47
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: 48
display_name: khanhnto-48
ineligible_reason: max_output_tokens!=64
language_model: khanhnto/khanhnto
model_size: 13B
reward_model: rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99
us_pacific_date: 2024-03-30
win_ratio: 0.43587775272273666
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name khanhnto-khanhnto-v59-mkmlizer
Waiting for job on khanhnto-khanhnto-v59-mkmlizer to finish
khanhnto-khanhnto-v59-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
khanhnto-khanhnto-v59-mkmlizer: ║ _____ __ __ ║
khanhnto-khanhnto-v59-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
khanhnto-khanhnto-v59-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
khanhnto-khanhnto-v59-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
khanhnto-khanhnto-v59-mkmlizer: ║ /___/ ║
khanhnto-khanhnto-v59-mkmlizer: ║ ║
khanhnto-khanhnto-v59-mkmlizer: ║ Version: 0.6.11 ║
khanhnto-khanhnto-v59-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
khanhnto-khanhnto-v59-mkmlizer: ║ ║
khanhnto-khanhnto-v59-mkmlizer: ║ The license key for the current software has been verified as ║
khanhnto-khanhnto-v59-mkmlizer: ║ belonging to: ║
khanhnto-khanhnto-v59-mkmlizer: ║ ║
khanhnto-khanhnto-v59-mkmlizer: ║ Chai Research Corp. ║
khanhnto-khanhnto-v59-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
khanhnto-khanhnto-v59-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
khanhnto-khanhnto-v59-mkmlizer: ║ ║
khanhnto-khanhnto-v59-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
khanhnto-khanhnto-v59-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 17.1MB/s]
khanhnto-khanhnto-v59-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, 196kB/s]
khanhnto-khanhnto-v59-mkmlizer: config.json: 0%| | 0.00/702 [00:00<?, ?B/s] config.json: 100%|██████████| 702/702 [00:00<00:00, 5.91MB/s]
khanhnto-khanhnto-v59-mkmlizer: generation_config.json: 0%| | 0.00/137 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 137/137 [00:00<00:00, 1.13MB/s]
khanhnto-khanhnto-v59-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<07:33, 10.9MB/s] model-00005-of-00006.safetensors: 0%| | 21.0M/4.93G [00:01<04:52, 16.8MB/s] model-00005-of-00006.safetensors: 1%| | 31.5M/4.93G [00:01<03:01, 27.0MB/s] model-00005-of-00006.safetensors: 1%| | 52.4M/4.93G [00:01<01:44, 46.5MB/s] model-00005-of-00006.safetensors: 1%|▏ | 73.4M/4.93G [00:01<01:22, 58.8MB/s] model-00005-of-00006.safetensors: 2%|▏ | 94.4M/4.93G [00:02<01:01, 78.4MB/s] model-00005-of-00006.safetensors: 2%|▏ | 115M/4.93G [00:02<00:56, 85.7MB/s] model-00005-of-00006.safetensors: 3%|▎ | 136M/4.93G [00:02<00:47, 101MB/s] model-00005-of-00006.safetensors: 3%|▎ | 157M/4.93G [00:02<00:44, 108MB/s] model-00005-of-00006.safetensors: 4%|▍ | 189M/4.93G [00:02<00:38, 123MB/s] model-00005-of-00006.safetensors: 4%|▍ | 210M/4.93G [00:02<00:39, 119MB/s] model-00005-of-00006.safetensors: 5%|▍ | 231M/4.93G [00:03<00:36, 129MB/s] model-00005-of-00006.safetensors: 6%|▌ | 283M/4.93G [00:03<00:22, 205MB/s] model-00005-of-00006.safetensors: 6%|▋ | 315M/4.93G [00:03<00:20, 228MB/s] model-00005-of-00006.safetensors: 9%|▉ | 440M/4.93G [00:03<00:09, 473MB/s] model-00005-of-00006.safetensors: 12%|█▏ | 587M/4.93G [00:03<00:06, 724MB/s] model-00005-of-00006.safetensors: 14%|█▎ | 671M/4.93G [00:03<00:08, 523MB/s] model-00005-of-00006.safetensors: 21%|██▏ | 1.05G/4.93G [00:03<00:03, 1.20GB/s] model-00005-of-00006.safetensors: 26%|██▌ | 1.26G/4.93G [00:03<00:02, 1.37GB/s] model-00005-of-00006.safetensors: 29%|██▉ | 1.43G/4.93G [00:04<00:06, 538MB/s] model-00005-of-00006.safetensors: 32%|███▏ | 1.57G/4.93G [00:04<00:05, 641MB/s] model-00005-of-00006.safetensors: 35%|███▍ | 1.71G/4.93G [00:05<00:05, 621MB/s] model-00005-of-00006.safetensors: 37%|███▋ | 1.82G/4.93G [00:05<00:05, 576MB/s] model-00005-of-00006.safetensors: 39%|███▉ | 1.93G/4.93G [00:05<00:04, 624MB/s] model-00005-of-00006.safetensors: 41%|████ | 2.03G/4.93G [00:05<00:04, 687MB/s] model-00005-of-00006.safetensors: 46%|████▌ | 2.25G/4.93G [00:05<00:02, 939MB/s] model-00005-of-00006.safetensors: 48%|████▊ | 2.38G/4.93G [00:05<00:02, 938MB/s] model-00005-of-00006.safetensors: 51%|█████ | 2.50G/4.93G [00:05<00:02, 982MB/s] model-00005-of-00006.safetensors: 53%|█████▎ | 2.62G/4.93G [00:06<00:02, 1.04GB/s] model-00005-of-00006.safetensors: 56%|█████▌ | 2.77G/4.93G [00:06<00:01, 1.14GB/s] model-00005-of-00006.safetensors: 62%|██████▏ | 3.08G/4.93G [00:06<00:01, 1.16GB/s] model-00005-of-00006.safetensors: 65%|██████▌ | 3.21G/4.93G [00:06<00:02, 813MB/s] model-00005-of-00006.safetensors: 67%|██████▋ | 3.31G/4.93G [00:06<00:02, 736MB/s] model-00005-of-00006.safetensors: 69%|██████▉ | 3.43G/4.93G [00:07<00:01, 798MB/s] model-00005-of-00006.safetensors: 71%|███████▏ | 3.52G/4.93G [00:07<00:01, 824MB/s] model-00005-of-00006.safetensors: 73%|███████▎ | 3.62G/4.93G [00:07<00:01, 781MB/s] model-00005-of-00006.safetensors: 76%|███████▋ | 3.76G/4.93G [00:07<00:01, 929MB/s] model-00005-of-00006.safetensors: 82%|████████▏ | 4.04G/4.93G [00:07<00:00, 1.34GB/s] model-00005-of-00006.safetensors: 85%|████████▌ | 4.19G/4.93G [00:07<00:00, 893MB/s] model-00005-of-00006.safetensors: 88%|████████▊ | 4.32G/4.93G [00:07<00:00, 929MB/s] model-00005-of-00006.safetensors: 91%|█████████▏| 4.50G/4.93G [00:08<00:00, 1.08GB/s] model-00005-of-00006.safetensors: 94%|█████████▍| 4.64G/4.93G [00:08<00:00, 1.10GB/s] model-00005-of-00006.safetensors: 99%|█████████▊| 4.86G/4.93G [00:08<00:00, 1.33GB/s] model-00005-of-00006.safetensors: 100%|█████████▉| 4.93G/4.93G [00:08<00:00, 584MB/s]
khanhnto-khanhnto-v59-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<01:02, 19.8MB/s] model-00006-of-00006.safetensors: 2%|▏ | 21.0M/1.25G [00:01<01:42, 11.9MB/s] model-00006-of-00006.safetensors: 3%|▎ | 31.5M/1.25G [00:01<01:06, 18.4MB/s] model-00006-of-00006.safetensors: 10%|█ | 126M/1.25G [00:01<00:09, 113MB/s] model-00006-of-00006.safetensors: 15%|█▌ | 189M/1.25G [00:02<00:07, 150MB/s] model-00006-of-00006.safetensors: 19%|█▊ | 231M/1.25G [00:02<00:06, 160MB/s] model-00006-of-00006.safetensors: 26%|██▌ | 325M/1.25G [00:02<00:03, 265MB/s] model-00006-of-00006.safetensors: 30%|███ | 375M/1.25G [00:02<00:03, 246MB/s] model-00006-of-00006.safetensors: 33%|███▎ | 417M/1.25G [00:02<00:03, 265MB/s] model-00006-of-00006.safetensors: 47%|████▋ | 585M/1.25G [00:03<00:01, 514MB/s] model-00006-of-00006.safetensors: 61%|██████▏ | 763M/1.25G [00:03<00:00, 729MB/s] model-00006-of-00006.safetensors: 87%|████████▋ | 1.08G/1.25G [00:03<00:00, 1.25GB/s] model-00006-of-00006.safetensors: 100%|█████████▉| 1.25G/1.25G [00:03<00:00, 795MB/s] model-00006-of-00006.safetensors: 100%|█████████▉| 1.25G/1.25G [00:03<00:00, 337MB/s]
khanhnto-khanhnto-v59-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, 50.0MB/s]
khanhnto-khanhnto-v59-mkmlizer: special_tokens_map.json: 0%| | 0.00/548 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 548/548 [00:00<00:00, 8.74MB/s]
khanhnto-khanhnto-v59-mkmlizer: tokenizer.json: 0%| | 0.00/1.84M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.84M/1.84M [00:00<00:00, 12.7MB/s] tokenizer.json: 100%|██████████| 1.84M/1.84M [00:00<00:00, 12.7MB/s]
khanhnto-khanhnto-v59-mkmlizer: tokenizer.model: 0%| | 0.00/500k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 500k/500k [00:00<00:00, 8.29MB/s]
khanhnto-khanhnto-v59-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, 8.25MB/s]
khanhnto-khanhnto-v59-mkmlizer: Downloaded to shared memory in 54.616s
khanhnto-khanhnto-v59-mkmlizer: quantizing model to /dev/shm/model_cache
khanhnto-khanhnto-v59-mkmlizer: Saving mkml model at /dev/shm/model_cache
khanhnto-khanhnto-v59-mkmlizer: Reading /tmp/tmpeufz1a3a/model.safetensors.index.json
khanhnto-khanhnto-v59-mkmlizer: Profiling: 0%| | 0/363 [00:00<?, ?it/s] Profiling: 0%| | 1/363 [00:01<08:49, 1.46s/it] Profiling: 3%|▎ | 12/363 [00:01<00:33, 10.33it/s] Profiling: 6%|▋ | 23/363 [00:01<00:15, 21.47it/s] Profiling: 11%|█ | 39/363 [00:01<00:08, 40.14it/s] Profiling: 14%|█▍ | 50/363 [00:01<00:06, 51.30it/s] Profiling: 18%|█▊ | 65/363 [00:01<00:04, 69.28it/s] Profiling: 21%|██▏ | 78/363 [00:02<00:05, 54.40it/s] Profiling: 25%|██▍ | 89/363 [00:02<00:04, 63.19it/s] Profiling: 28%|██▊ | 103/363 [00:02<00:03, 77.56it/s] Profiling: 33%|███▎ | 118/363 [00:02<00:02, 92.24it/s] Profiling: 36%|███▋ | 132/363 [00:02<00:02, 101.25it/s] Profiling: 40%|███▉ | 145/363 [00:03<00:02, 72.72it/s] Profiling: 44%|████▍ | 160/363 [00:03<00:02, 86.68it/s] Profiling: 48%|████▊ | 174/363 [00:03<00:01, 95.97it/s] Profiling: 52%|█████▏ | 189/363 [00:03<00:01, 107.74it/s] Profiling: 56%|█████▌ | 203/363 [00:03<00:01, 115.05it/s] Profiling: 60%|█████▉ | 216/363 [00:03<00:01, 82.00it/s] Profiling: 63%|██████▎ | 230/363 [00:03<00:01, 92.87it/s] Profiling: 68%|██████▊ | 247/363 [00:03<00:01, 107.99it/s] Profiling: 73%|███████▎ | 264/363 [00:04<00:00, 119.54it/s] Profiling: 77%|███████▋ | 278/363 [00:04<00:01, 81.71it/s] Profiling: 80%|████████ | 292/363 [00:04<00:00, 90.44it/s] Profiling: 84%|████████▍ | 306/363 [00:04<00:00, 100.52it/s] Profiling: 88%|████████▊ | 319/363 [00:04<00:00, 106.49it/s] Profiling: 92%|█████████▏| 334/363 [00:04<00:00, 116.77it/s] Profiling: 96%|█████████▌| 348/363 [00:04<00:00, 122.45it/s] Profiling: 100%|█████████▉| 362/363 [00:06<00:00, 22.94it/s] Profiling: 100%|██████████| 363/363 [00:06<00:00, 53.82it/s]
khanhnto-khanhnto-v59-mkmlizer: quantized model in 25.254s
khanhnto-khanhnto-v59-mkmlizer: Processed model khanhnto/khanhnto in 81.540s
khanhnto-khanhnto-v59-mkmlizer: creating bucket guanaco-mkml-models
khanhnto-khanhnto-v59-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
khanhnto-khanhnto-v59-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/khanhnto-khanhnto-v59
khanhnto-khanhnto-v59-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v59/config.json
khanhnto-khanhnto-v59-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/khanhnto-khanhnto-v59/added_tokens.json
khanhnto-khanhnto-v59-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v59/tokenizer_config.json
khanhnto-khanhnto-v59-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/khanhnto-khanhnto-v59/special_tokens_map.json
khanhnto-khanhnto-v59-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/khanhnto-khanhnto-v59/tokenizer.model
khanhnto-khanhnto-v59-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/khanhnto-khanhnto-v59/tokenizer.json
khanhnto-khanhnto-v59-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/khanhnto-khanhnto-v59/mkml_model.tensors
khanhnto-khanhnto-v59-mkmlizer: loading reward model from rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99
khanhnto-khanhnto-v59-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-v59-mkmlizer: warnings.warn(
khanhnto-khanhnto-v59-mkmlizer: config.json: 0%| | 0.00/983 [00:00<?, ?B/s] config.json: 100%|██████████| 983/983 [00:00<00:00, 7.44MB/s]
khanhnto-khanhnto-v59-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-v59-mkmlizer: warnings.warn(
khanhnto-khanhnto-v59-mkmlizer: tokenizer_config.json: 0%| | 0.00/445 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 445/445 [00:00<00:00, 3.51MB/s]
khanhnto-khanhnto-v59-mkmlizer: vocab.json: 0%| | 0.00/798k [00:00<?, ?B/s] vocab.json: 100%|██████████| 798k/798k [00:00<00:00, 13.5MB/s]
khanhnto-khanhnto-v59-mkmlizer: merges.txt: 0%| | 0.00/456k [00:00<?, ?B/s] merges.txt: 100%|██████████| 456k/456k [00:00<00:00, 9.45MB/s]
khanhnto-khanhnto-v59-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 15.2MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 15.1MB/s]
khanhnto-khanhnto-v59-mkmlizer: special_tokens_map.json: 0%| | 0.00/441 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 441/441 [00:00<00:00, 3.54MB/s]
khanhnto-khanhnto-v59-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-v59-mkmlizer: warnings.warn(
khanhnto-khanhnto-v59-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, 95.2MB/s]
khanhnto-khanhnto-v59-mkmlizer: Downloading shards: 0%| | 0/1 [00:00<?, ?it/s]
khanhnto-khanhnto-v59-mkmlizer: model-00001-of-00001.safetensors: 0%| | 0.00/249M [00:00<?, ?B/s]
khanhnto-khanhnto-v59-mkmlizer: model-00001-of-00001.safetensors: 4%|▍ | 10.5M/249M [00:00<00:02, 99.0MB/s]
khanhnto-khanhnto-v59-mkmlizer: model-00001-of-00001.safetensors: 100%|█████████▉| 249M/249M [00:00<00:00, 1.37GB/s]  model-00001-of-00001.safetensors: 100%|█████████▉| 249M/249M [00:00<00:00, 543MB/s]
khanhnto-khanhnto-v59-mkmlizer: Downloading shards: 100%|██████████| 1/1 [00:00<00:00, 1.62it/s] Downloading shards: 100%|██████████| 1/1 [00:00<00:00, 1.62it/s]
khanhnto-khanhnto-v59-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
khanhnto-khanhnto-v59-mkmlizer: Saving duration: 0.080s
khanhnto-khanhnto-v59-mkmlizer: Processed model rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99 in 2.997s
khanhnto-khanhnto-v59-mkmlizer: creating bucket guanaco-reward-models
khanhnto-khanhnto-v59-mkmlizer: Bucket 's3://guanaco-reward-models/' created
khanhnto-khanhnto-v59-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/khanhnto-khanhnto-v59_reward
khanhnto-khanhnto-v59-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/khanhnto-khanhnto-v59_reward/config.json
khanhnto-khanhnto-v59-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/khanhnto-khanhnto-v59_reward/special_tokens_map.json
khanhnto-khanhnto-v59-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/khanhnto-khanhnto-v59_reward/tokenizer_config.json
khanhnto-khanhnto-v59-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/khanhnto-khanhnto-v59_reward/merges.txt
khanhnto-khanhnto-v59-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/khanhnto-khanhnto-v59_reward/vocab.json
khanhnto-khanhnto-v59-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/khanhnto-khanhnto-v59_reward/tokenizer.json
khanhnto-khanhnto-v59-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/khanhnto-khanhnto-v59_reward/reward.tensors
Job khanhnto-khanhnto-v59-mkmlizer completed after 108.03s with status: succeeded
Stopping job with name khanhnto-khanhnto-v59-mkmlizer
Pipeline stage MKMLizer completed in 111.57s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service khanhnto-khanhnto-v59
Waiting for inference service khanhnto-khanhnto-v59 to be ready
Inference service khanhnto-khanhnto-v59 ready after 40.33542561531067s
Pipeline stage ISVCDeployer completed in 47.36s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7151968479156494s
Received healthy response to inference request in 1.1112606525421143s
Received healthy response to inference request in 1.3959414958953857s
Received healthy response to inference request in 1.2303080558776855s
Received healthy response to inference request in 1.3277134895324707s
5 requests
0 failed requests
5th percentile: 1.1350701332092286
10th percentile: 1.1588796138763429
20th percentile: 1.2064985752105712
30th percentile: 1.2497891426086425
40th percentile: 1.2887513160705566
50th percentile: 1.3277134895324707
60th percentile: 1.3550046920776366
70th percentile: 1.3822958946228028
80th percentile: 1.4597925662994384
90th percentile: 1.587494707107544
95th percentile: 1.6513457775115967
99th percentile: 1.7024266338348388
mean time: 1.3560841083526611
Pipeline stage StressChecker completed in 7.52s
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_v59 status is now deployed due to DeploymentManager action
khanhnto-khanhnto_v59 status is now inactive due to admin request
khanhnto-khanhnto_v59 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of khanhnto-khanhnto_v59
Running pipeline stage ISVCDeleter
Checking if service khanhnto-khanhnto-v59 is running
Tearing down inference service khanhnto-khanhnto-v59
Toredown service khanhnto-khanhnto-v59
Pipeline stage ISVCDeleter completed in 5.28s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key khanhnto-khanhnto-v59/added_tokens.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v59/config.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v59/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v59/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v59/tokenizer.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v59/tokenizer.model from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v59/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key khanhnto-khanhnto-v59_reward/config.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v59_reward/merges.txt from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v59_reward/reward.tensors from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v59_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v59_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v59_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v59_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.37s
khanhnto-khanhnto_v59 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics