submission_id: alkahestry-limitless_v3
developer_uid: alkacchi
status: torndown
model_repo: alkahestry/Limitless
reward_repo: alkahestry/gpt2-reward-rp
generation_params: {'temperature': 0.72, 'top_p': 0.73, 'min_p': 0.0, 'top_k': 1000, 'presence_penalty': 0.24, 'frequency_penalty': 0.8, 'stopping_words': ['</s>', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': "### Instruction:\nYou are now in roleplay chat mode. Engage in an endless chat with {{user}}. Always wait {{user}} turn, next actions and responses.You will fully embody the given character, creating immersive, captivating narratives. Stay true to the character's personality and background, generating responses that not only reflect their core traits but are also accurate to their character. Your responses should evoke emotion, suspense, and anticipation in the user. The more detailed and descriptive your response, the more vivid the narrative becomes. Aim to create a fertile environment for ongoing interaction – introduce new elements, offer choices, or ask questions to invite the user to participate more fully in the conversation. This conversation is a dance, always continuing, always evolving.\nYour character: {bot_name}.\nContext: {memory}\n", 'prompt_template': '{prompt}\n', 'bot_template': '### Response:\n{bot_name}: {message}\n', 'user_template': '### Input:\n{user_name}: {message}\n', 'response_template': '### Response:\n{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-04-09T13:03:35+00:00
model_name: limitless-7B-v1-rw
model_eval_status: success
model_group: alkahestry/Limitless
num_battles: 26580
num_wins: 12622
celo_rating: 1142.05
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
display_name: limitless-7B-v1-rw
ineligible_reason: propriety_total_count < 800
language_model: alkahestry/Limitless
model_size: 7B
reward_model: alkahestry/gpt2-reward-rp
us_pacific_date: 2024-04-09
win_ratio: 0.47486832204665164
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name alkahestry-limitless-v3-mkmlizer
Waiting for job on alkahestry-limitless-v3-mkmlizer to finish
Stopping job with name alkahestry-limitless-v3-mkmlizer
%s, retrying in %s seconds...
Starting job with name alkahestry-limitless-v3-mkmlizer
Waiting for job on alkahestry-limitless-v3-mkmlizer to finish
alkahestry-limitless-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alkahestry-limitless-v3-mkmlizer: ║     _____            __           __                                ║
alkahestry-limitless-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
alkahestry-limitless-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
alkahestry-limitless-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
alkahestry-limitless-v3-mkmlizer: ║       /___/                                                         ║
alkahestry-limitless-v3-mkmlizer: ║                                                                     ║
alkahestry-limitless-v3-mkmlizer: ║  Version: 0.6.11                                                    ║
alkahestry-limitless-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
alkahestry-limitless-v3-mkmlizer: ║                                                                     ║
alkahestry-limitless-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
alkahestry-limitless-v3-mkmlizer: ║  belonging to:                                                      ║
alkahestry-limitless-v3-mkmlizer: ║                                                                     ║
alkahestry-limitless-v3-mkmlizer: ║  Chai Research Corp.                                                ║
alkahestry-limitless-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
alkahestry-limitless-v3-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
alkahestry-limitless-v3-mkmlizer: ║                                                                     ║
alkahestry-limitless-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alkahestry-limitless-v3-mkmlizer: 
.gitattributes:   0%|          | 0.00/1.52k [00:00<?, ?B/s]
.gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 19.5MB/s]
alkahestry-limitless-v3-mkmlizer: 
config.json:   0%|          | 0.00/642 [00:00<?, ?B/s]
config.json: 100%|██████████| 642/642 [00:00<00:00, 3.90MB/s]
alkahestry-limitless-v3-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 [00:00<06:03, 27.4MB/s]
model-00001-of-00002.safetensors:   1%|          | 52.4M/9.94G [00:00<01:14, 133MB/s] 
model-00001-of-00002.safetensors:   1%|          | 94.4M/9.94G [00:00<00:55, 176MB/s]
model-00001-of-00002.safetensors:   1%|▏         | 136M/9.94G [00:00<00:44, 222MB/s] 
model-00001-of-00002.safetensors:   2%|▏         | 168M/9.94G [00:00<00:47, 204MB/s]
model-00001-of-00002.safetensors:   2%|▏         | 199M/9.94G [00:01<00:43, 225MB/s]
model-00001-of-00002.safetensors:   2%|▏         | 241M/9.94G [00:01<00:38, 250MB/s]
model-00001-of-00002.safetensors:   3%|▎         | 273M/9.94G [00:01<00:45, 211MB/s]
model-00001-of-00002.safetensors:   3%|▎         | 304M/9.94G [00:01<00:48, 200MB/s]
model-00001-of-00002.safetensors:   3%|▎         | 336M/9.94G [00:01<00:43, 223MB/s]
model-00001-of-00002.safetensors:   4%|▎         | 367M/9.94G [00:01<00:42, 225MB/s]
model-00001-of-00002.safetensors:   4%|▍         | 398M/9.94G [00:02<00:47, 199MB/s]
model-00001-of-00002.safetensors:   4%|▍         | 430M/9.94G [00:02<01:00, 159MB/s]
model-00001-of-00002.safetensors:   5%|▍         | 461M/9.94G [00:02<00:53, 177MB/s]
model-00001-of-00002.safetensors:   5%|▌         | 514M/9.94G [00:02<00:40, 234MB/s]
model-00001-of-00002.safetensors:   6%|▋         | 629M/9.94G [00:02<00:24, 386MB/s]
model-00001-of-00002.safetensors:   7%|▋         | 692M/9.94G [00:02<00:22, 417MB/s]
model-00001-of-00002.safetensors:   7%|▋         | 744M/9.94G [00:03<00:25, 360MB/s]
model-00001-of-00002.safetensors:  12%|█▏        | 1.15G/9.94G [00:03<00:07, 1.13GB/s]
model-00001-of-00002.safetensors:  18%|█▊        | 1.76G/9.94G [00:03<00:03, 2.10GB/s]
model-00001-of-00002.safetensors:  20%|██        | 2.00G/9.94G [00:03<00:06, 1.17GB/s]
model-00001-of-00002.safetensors:  22%|██▏       | 2.19G/9.94G [00:03<00:07, 1.10GB/s]
model-00001-of-00002.safetensors:  24%|██▎       | 2.35G/9.94G [00:04<00:07, 1.07GB/s]
model-00001-of-00002.safetensors:  26%|██▌       | 2.57G/9.94G [00:04<00:05, 1.26GB/s]
model-00001-of-00002.safetensors:  28%|██▊       | 2.74G/9.94G [00:04<00:05, 1.34GB/s]
model-00001-of-00002.safetensors:  30%|██▉       | 2.97G/9.94G [00:04<00:04, 1.44GB/s]
model-00001-of-00002.safetensors:  32%|███▏      | 3.14G/9.94G [00:04<00:04, 1.39GB/s]
model-00001-of-00002.safetensors:  33%|███▎      | 3.29G/9.94G [00:04<00:05, 1.32GB/s]
model-00001-of-00002.safetensors:  37%|███▋      | 3.64G/9.94G [00:04<00:03, 1.81GB/s]
model-00001-of-00002.safetensors:  40%|████      | 4.00G/9.94G [00:04<00:02, 2.20GB/s]
model-00001-of-00002.safetensors:  43%|████▎     | 4.25G/9.94G [00:05<00:02, 2.27GB/s]
model-00001-of-00002.safetensors:  45%|████▌     | 4.50G/9.94G [00:05<00:02, 2.14GB/s]
model-00001-of-00002.safetensors:  48%|████▊     | 4.77G/9.94G [00:05<00:02, 2.26GB/s]
model-00001-of-00002.safetensors:  51%|█████     | 5.03G/9.94G [00:05<00:02, 2.29GB/s]
model-00001-of-00002.safetensors:  53%|█████▎    | 5.31G/9.94G [00:05<00:01, 2.33GB/s]
model-00001-of-00002.safetensors:  56%|█████▌    | 5.55G/9.94G [00:05<00:01, 2.20GB/s]
model-00001-of-00002.safetensors:  58%|█████▊    | 5.78G/9.94G [00:05<00:01, 2.14GB/s]
model-00001-of-00002.safetensors:  61%|██████    | 6.04G/9.94G [00:05<00:01, 2.19GB/s]
model-00001-of-00002.safetensors:  63%|██████▎   | 6.27G/9.94G [00:06<00:01, 1.94GB/s]
model-00001-of-00002.safetensors:  65%|██████▌   | 6.48G/9.94G [00:06<00:01, 1.92GB/s]
model-00001-of-00002.safetensors:  67%|██████▋   | 6.68G/9.94G [00:06<00:01, 1.85GB/s]
model-00001-of-00002.safetensors:  69%|██████▉   | 6.87G/9.94G [00:06<00:01, 1.61GB/s]
model-00001-of-00002.safetensors:  72%|███████▏  | 7.18G/9.94G [00:06<00:01, 1.98GB/s]
model-00001-of-00002.safetensors:  74%|███████▍  | 7.40G/9.94G [00:06<00:01, 2.03GB/s]
model-00001-of-00002.safetensors:  77%|███████▋  | 7.63G/9.94G [00:06<00:01, 2.10GB/s]
model-00001-of-00002.safetensors:  80%|███████▉  | 7.95G/9.94G [00:06<00:00, 2.36GB/s]
model-00001-of-00002.safetensors:  83%|████████▎ | 8.23G/9.94G [00:06<00:00, 2.45GB/s]
model-00001-of-00002.safetensors:  85%|████████▌ | 8.48G/9.94G [00:07<00:00, 2.22GB/s]
model-00001-of-00002.safetensors:  88%|████████▊ | 8.77G/9.94G [00:07<00:00, 2.38GB/s]
model-00001-of-00002.safetensors:  91%|█████████ | 9.02G/9.94G [00:07<00:00, 2.41GB/s]
model-00001-of-00002.safetensors:  94%|█████████▍| 9.36G/9.94G [00:07<00:00, 2.70GB/s]
model-00001-of-00002.safetensors:  97%|█████████▋| 9.65G/9.94G [00:07<00:00, 2.04GB/s]
model-00001-of-00002.safetensors: 100%|█████████▉| 9.90G/9.94G [00:07<00:00, 2.14GB/s]
model-00001-of-00002.safetensors: 100%|█████████▉| 9.94G/9.94G [00:08<00:00, 1.20GB/s]
alkahestry-limitless-v3-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 [00:00<01:55, 39.3MB/s]
model-00002-of-00002.safetensors:   1%|          | 31.5M/4.54G [00:00<01:05, 68.5MB/s]
model-00002-of-00002.safetensors:   3%|▎         | 157M/4.54G [00:00<00:18, 237MB/s]  
model-00002-of-00002.safetensors:   6%|▌         | 283M/4.54G [00:01<00:13, 310MB/s]
model-00002-of-00002.safetensors:   9%|▉         | 398M/4.54G [00:01<00:11, 350MB/s]
model-00002-of-00002.safetensors:  10%|█         | 461M/4.54G [00:01<00:10, 392MB/s]
model-00002-of-00002.safetensors:  12%|█▏        | 535M/4.54G [00:01<00:09, 432MB/s]
model-00002-of-00002.safetensors:  14%|█▎        | 619M/4.54G [00:01<00:07, 507MB/s]
model-00002-of-00002.safetensors:  15%|█▌        | 682M/4.54G [00:01<00:08, 472MB/s]
model-00002-of-00002.safetensors:  18%|█▊        | 818M/4.54G [00:02<00:06, 612MB/s]
model-00002-of-00002.safetensors:  20%|█▉        | 891M/4.54G [00:02<00:06, 602MB/s]
model-00002-of-00002.safetensors:  21%|██        | 965M/4.54G [00:02<00:05, 619MB/s]
model-00002-of-00002.safetensors:  25%|██▍       | 1.12G/4.54G [00:02<00:05, 576MB/s]
model-00002-of-00002.safetensors:  26%|██▌       | 1.18G/4.54G [00:02<00:05, 578MB/s]
model-00002-of-00002.safetensors:  29%|██▉       | 1.32G/4.54G [00:02<00:04, 741MB/s]
model-00002-of-00002.safetensors:  47%|████▋     | 2.14G/4.54G [00:02<00:00, 2.46GB/s]
model-00002-of-00002.safetensors:  54%|█████▍    | 2.44G/4.54G [00:03<00:00, 2.10GB/s]
model-00002-of-00002.safetensors:  60%|█████▉    | 2.71G/4.54G [00:03<00:00, 1.98GB/s]
model-00002-of-00002.safetensors:  65%|██████▍   | 2.95G/4.54G [00:03<00:00, 1.77GB/s]
model-00002-of-00002.safetensors:  70%|██████▉   | 3.16G/4.54G [00:03<00:00, 1.57GB/s]
model-00002-of-00002.safetensors:  73%|███████▎  | 3.33G/4.54G [00:03<00:00, 1.53GB/s]
model-00002-of-00002.safetensors:  77%|███████▋  | 3.50G/4.54G [00:03<00:00, 1.21GB/s]
model-00002-of-00002.safetensors:  82%|████████▏ | 3.73G/4.54G [00:04<00:00, 1.37GB/s]
model-00002-of-00002.safetensors:  86%|████████▌ | 3.89G/4.54G [00:04<00:00, 776MB/s] 
model-00002-of-00002.safetensors:  88%|████████▊ | 4.02G/4.54G [00:04<00:00, 791MB/s]
model-00002-of-00002.safetensors:  91%|█████████ | 4.13G/4.54G [00:04<00:00, 826MB/s]
model-00002-of-00002.safetensors: 100%|█████████▉| 4.54G/4.54G [00:04<00:00, 918MB/s]
alkahestry-limitless-v3-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, 162MB/s]
alkahestry-limitless-v3-mkmlizer: 
special_tokens_map.json:   0%|          | 0.00/414 [00:00<?, ?B/s]
special_tokens_map.json: 100%|██████████| 414/414 [00:00<00:00, 3.38MB/s]
alkahestry-limitless-v3-mkmlizer: 
tokenizer.json:   0%|          | 0.00/1.80M [00:00<?, ?B/s]
tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 20.0MB/s]
alkahestry-limitless-v3-mkmlizer: 
tokenizer.model:   0%|          | 0.00/493k [00:00<?, ?B/s]
tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 14.7MB/s]
alkahestry-limitless-v3-mkmlizer: 
tokenizer_config.json:   0%|          | 0.00/967 [00:00<?, ?B/s]
tokenizer_config.json: 100%|██████████| 967/967 [00:00<00:00, 7.09MB/s]
alkahestry-limitless-v3-mkmlizer: Downloaded to shared memory in 15.923s
alkahestry-limitless-v3-mkmlizer: quantizing model to /dev/shm/model_cache
alkahestry-limitless-v3-mkmlizer: Saving mkml model at /dev/shm/model_cache
alkahestry-limitless-v3-mkmlizer: Reading /tmp/tmpgvi3kp1s/model.safetensors.index.json
alkahestry-limitless-v3-mkmlizer: 
Profiling:   0%|          | 0/291 [00:00<?, ?it/s]
Profiling:   0%|          | 1/291 [00:01<06:29,  1.34s/it]
Profiling:   7%|▋         | 21/291 [00:01<00:13, 19.84it/s]
Profiling:  14%|█▎        | 40/291 [00:01<00:06, 40.33it/s]
Profiling:  20%|██        | 59/291 [00:01<00:03, 61.56it/s]
Profiling:  28%|██▊       | 81/291 [00:01<00:02, 88.57it/s]
Profiling:  35%|███▌      | 102/291 [00:01<00:01, 112.10it/s]
Profiling:  42%|████▏     | 121/291 [00:01<00:01, 127.06it/s]
Profiling:  49%|████▉     | 143/291 [00:02<00:00, 148.52it/s]
Profiling:  56%|█████▌    | 163/291 [00:02<00:00, 161.16it/s]
Profiling:  63%|██████▎   | 183/291 [00:02<00:00, 152.41it/s]
Profiling:  69%|██████▉   | 201/291 [00:02<00:00, 155.17it/s]
Profiling:  75%|███████▌  | 219/291 [00:04<00:02, 31.35it/s] 
Profiling:  82%|████████▏ | 238/291 [00:04<00:01, 41.76it/s]
Profiling:  87%|████████▋ | 252/291 [00:04<00:00, 48.60it/s]
Profiling:  92%|█████████▏| 267/291 [00:04<00:00, 58.64it/s]
Profiling:  99%|█████████▉| 289/291 [00:04<00:00, 79.61it/s]
Profiling: 100%|██████████| 291/291 [00:04<00:00, 60.42it/s]
alkahestry-limitless-v3-mkmlizer: quantized model in 14.809s
alkahestry-limitless-v3-mkmlizer: Processed model alkahestry/Limitless in 31.644s
alkahestry-limitless-v3-mkmlizer: creating bucket guanaco-mkml-models
alkahestry-limitless-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alkahestry-limitless-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alkahestry-limitless-v3
alkahestry-limitless-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alkahestry-limitless-v3/config.json
alkahestry-limitless-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alkahestry-limitless-v3/special_tokens_map.json
alkahestry-limitless-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alkahestry-limitless-v3/tokenizer_config.json
alkahestry-limitless-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/alkahestry-limitless-v3/tokenizer.model
alkahestry-limitless-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alkahestry-limitless-v3/tokenizer.json
alkahestry-limitless-v3-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/alkahestry-limitless-v3/mkml_model.tensors
alkahestry-limitless-v3-mkmlizer: loading reward model from alkahestry/gpt2-reward-rp
alkahestry-limitless-v3-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.
alkahestry-limitless-v3-mkmlizer:   warnings.warn(
alkahestry-limitless-v3-mkmlizer: 
config.json:   0%|          | 0.00/1.00k [00:00<?, ?B/s]
config.json: 100%|██████████| 1.00k/1.00k [00:00<00:00, 12.2MB/s]
alkahestry-limitless-v3-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.
alkahestry-limitless-v3-mkmlizer:   warnings.warn(
alkahestry-limitless-v3-mkmlizer: 
tokenizer_config.json:   0%|          | 0.00/290 [00:00<?, ?B/s]
tokenizer_config.json: 100%|██████████| 290/290 [00:00<00:00, 3.96MB/s]
alkahestry-limitless-v3-mkmlizer: 
vocab.json:   0%|          | 0.00/798k [00:00<?, ?B/s]
vocab.json: 100%|██████████| 798k/798k [00:00<00:00, 29.5MB/s]
alkahestry-limitless-v3-mkmlizer: 
merges.txt:   0%|          | 0.00/456k [00:00<?, ?B/s]
merges.txt: 100%|██████████| 456k/456k [00:00<00:00, 97.5MB/s]
alkahestry-limitless-v3-mkmlizer: 
tokenizer.json:   0%|          | 0.00/2.11M [00:00<?, ?B/s]
tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 15.0MB/s]
tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 14.9MB/s]
alkahestry-limitless-v3-mkmlizer: 
special_tokens_map.json:   0%|          | 0.00/131 [00:00<?, ?B/s]
special_tokens_map.json: 100%|██████████| 131/131 [00:00<00:00, 1.73MB/s]
alkahestry-limitless-v3-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.
alkahestry-limitless-v3-mkmlizer:   warnings.warn(
alkahestry-limitless-v3-mkmlizer: 
pytorch_model.bin:   0%|          | 0.00/498M [00:00<?, ?B/s]
pytorch_model.bin:   2%|▏         | 10.5M/498M [00:00<00:20, 24.3MB/s]
pytorch_model.bin:   4%|▍         | 21.0M/498M [00:00<00:15, 30.3MB/s]
pytorch_model.bin:   9%|▉         | 46.9M/498M [00:00<00:06, 69.8MB/s]
pytorch_model.bin:  18%|█▊        | 88.9M/498M [00:00<00:03, 131MB/s] 
pytorch_model.bin:  22%|██▏       | 110M/498M [00:01<00:03, 115MB/s] 
pytorch_model.bin:  35%|███▍      | 173M/498M [00:01<00:01, 211MB/s]
pytorch_model.bin:  62%|██████▏   | 309M/498M [00:01<00:00, 444MB/s]
pytorch_model.bin: 100%|█████████▉| 498M/498M [00:01<00:00, 330MB/s]
alkahestry-limitless-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
alkahestry-limitless-v3-mkmlizer: Saving duration: 0.080s
alkahestry-limitless-v3-mkmlizer: Processed model alkahestry/gpt2-reward-rp in 4.140s
alkahestry-limitless-v3-mkmlizer: creating bucket guanaco-reward-models
alkahestry-limitless-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
alkahestry-limitless-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/alkahestry-limitless-v3_reward
alkahestry-limitless-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/alkahestry-limitless-v3_reward/config.json
alkahestry-limitless-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/alkahestry-limitless-v3_reward/merges.txt
alkahestry-limitless-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/alkahestry-limitless-v3_reward/vocab.json
alkahestry-limitless-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/alkahestry-limitless-v3_reward/special_tokens_map.json
alkahestry-limitless-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/alkahestry-limitless-v3_reward/tokenizer_config.json
alkahestry-limitless-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/alkahestry-limitless-v3_reward/tokenizer.json
alkahestry-limitless-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/alkahestry-limitless-v3_reward/reward.tensors
Job alkahestry-limitless-v3-mkmlizer completed after 55.04s with status: succeeded
Stopping job with name alkahestry-limitless-v3-mkmlizer
Pipeline stage MKMLizer completed in 60.69s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service alkahestry-limitless-v3
Waiting for inference service alkahestry-limitless-v3 to be ready
Inference service alkahestry-limitless-v3 ready after 40.317830085754395s
Pipeline stage ISVCDeployer completed in 47.91s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7282657623291016s
Received healthy response to inference request in 1.0828895568847656s
Received healthy response to inference request in 1.192763090133667s
Received healthy response to inference request in 1.2354490756988525s
Received healthy response to inference request in 1.1970958709716797s
5 requests
0 failed requests
5th percentile: 1.1048642635345458
10th percentile: 1.1268389701843262
20th percentile: 1.1707883834838868
30th percentile: 1.1936296463012694
40th percentile: 1.1953627586364746
50th percentile: 1.1970958709716797
60th percentile: 1.2124371528625488
70th percentile: 1.227778434753418
80th percentile: 1.3340124130249025
90th percentile: 1.531139087677002
95th percentile: 1.6297024250030516
99th percentile: 1.7085530948638916
mean time: 1.2872926712036132
Pipeline stage StressChecker completed in 7.24s
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
alkahestry-limitless_v3 status is now deployed due to DeploymentManager action
alkahestry-limitless_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of alkahestry-limitless_v3
Running pipeline stage ISVCDeleter
Checking if service alkahestry-limitless-v3 is running
Tearing down inference service alkahestry-limitless-v3
Toredown service alkahestry-limitless-v3
Pipeline stage ISVCDeleter completed in 3.60s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key alkahestry-limitless-v3/config.json from bucket guanaco-mkml-models
Deleting key alkahestry-limitless-v3/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key alkahestry-limitless-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key alkahestry-limitless-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key alkahestry-limitless-v3/tokenizer.model from bucket guanaco-mkml-models
Deleting key alkahestry-limitless-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key alkahestry-limitless-v3_reward/config.json from bucket guanaco-reward-models
Deleting key alkahestry-limitless-v3_reward/merges.txt from bucket guanaco-reward-models
Deleting key alkahestry-limitless-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key alkahestry-limitless-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key alkahestry-limitless-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key alkahestry-limitless-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key alkahestry-limitless-v3_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.12s
alkahestry-limitless_v3 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics