arlineka-kittynyanster-v1

developer_uid: zonemercy
submission_id: arlineka-kittynyanster-v1_v7
model_name: arlineka-kittynyanster-v1_v7
model_group: arlineka/KittyNyanster-v
status: torndown
timestamp: 2024-04-11T10:23:18+00:00
num_battles: 31474
num_wins: 16911
celo_rating: 1191.87
family_friendly_score: 0.0
submission_type: basic
model_repo: arlineka/KittyNyanster-v1
model_architecture: MistralForCausalLM
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: arlineka-kittynyanster-v1_v7
is_internal_developer: True
language_model: arlineka/KittyNyanster-v1
model_size: 7B
ranking_group: single
us_pacific_date: 2024-04-11
win_ratio: 0.537300629090678
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "Bot's name: {bot_name}\nBot's Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
model_eval_status: success
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name arlineka-kittynyanster-v1-v7-mkmlizer
Waiting for job on arlineka-kittynyanster-v1-v7-mkmlizer to finish
arlineka-kittynyanster-v1-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
arlineka-kittynyanster-v1-v7-mkmlizer: ║     _____            __           __                                ║
arlineka-kittynyanster-v1-v7-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
arlineka-kittynyanster-v1-v7-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
arlineka-kittynyanster-v1-v7-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
arlineka-kittynyanster-v1-v7-mkmlizer: ║       /___/                                                         ║
arlineka-kittynyanster-v1-v7-mkmlizer: ║                                                                     ║
arlineka-kittynyanster-v1-v7-mkmlizer: ║  Version: 0.6.11                                                    ║
arlineka-kittynyanster-v1-v7-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
arlineka-kittynyanster-v1-v7-mkmlizer: ║                                                                     ║
arlineka-kittynyanster-v1-v7-mkmlizer: ║  The license key for the current software has been verified as      ║
arlineka-kittynyanster-v1-v7-mkmlizer: ║  belonging to:                                                      ║
arlineka-kittynyanster-v1-v7-mkmlizer: ║                                                                     ║
arlineka-kittynyanster-v1-v7-mkmlizer: ║  Chai Research Corp.                                                ║
arlineka-kittynyanster-v1-v7-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
arlineka-kittynyanster-v1-v7-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
arlineka-kittynyanster-v1-v7-mkmlizer: ║                                                                     ║
arlineka-kittynyanster-v1-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
arlineka-kittynyanster-v1-v7-mkmlizer: 
.gitattributes:   0%|          | 0.00/1.52k [00:00<?, ?B/s]
.gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 15.8MB/s]
arlineka-kittynyanster-v1-v7-mkmlizer: 
.gitignore:   0%|          | 0.00/19.0 [00:00<?, ?B/s]
.gitignore: 100%|██████████| 19.0/19.0 [00:00<00:00, 292kB/s]
arlineka-kittynyanster-v1-v7-mkmlizer: 
README.md:   0%|          | 0.00/259 [00:00<?, ?B/s]
README.md: 100%|██████████| 259/259 [00:00<00:00, 3.06MB/s]
arlineka-kittynyanster-v1-v7-mkmlizer: 
config.json:   0%|          | 0.00/690 [00:00<?, ?B/s]
config.json: 100%|██████████| 690/690 [00:00<00:00, 8.06MB/s]
arlineka-kittynyanster-v1-v7-mkmlizer: 
model-00001-of-00002.safetensors:   0%|          | 0.00/9.98G [00:00<?, ?B/s]
model-00001-of-00002.safetensors:   0%|          | 21.0M/9.98G [00:00<01:00, 165MB/s]
model-00001-of-00002.safetensors:   1%|          | 62.9M/9.98G [00:00<00:38, 259MB/s]
model-00001-of-00002.safetensors:   2%|▏         | 199M/9.98G [00:00<00:18, 534MB/s] 
model-00001-of-00002.safetensors:   3%|▎         | 252M/9.98G [00:00<00:20, 469MB/s]
model-00001-of-00002.safetensors:   3%|▎         | 346M/9.98G [00:00<00:16, 598MB/s]
model-00001-of-00002.safetensors:   5%|▍         | 472M/9.98G [00:00<00:13, 730MB/s]
model-00001-of-00002.safetensors:   6%|▌         | 577M/9.98G [00:00<00:12, 783MB/s]
model-00001-of-00002.safetensors:   8%|▊         | 786M/9.98G [00:01<00:08, 1.14GB/s]
model-00001-of-00002.safetensors:   9%|▉         | 912M/9.98G [00:01<00:07, 1.16GB/s]
model-00001-of-00002.safetensors:  11%|█         | 1.05G/9.98G [00:01<00:07, 1.20GB/s]
model-00001-of-00002.safetensors:  13%|█▎        | 1.25G/9.98G [00:01<00:06, 1.41GB/s]
model-00001-of-00002.safetensors:  14%|█▍        | 1.42G/9.98G [00:01<00:05, 1.48GB/s]
model-00001-of-00002.safetensors:  16%|█▋        | 1.63G/9.98G [00:01<00:05, 1.59GB/s]
model-00001-of-00002.safetensors:  19%|█▉        | 1.90G/9.98G [00:01<00:04, 1.91GB/s]
model-00001-of-00002.safetensors:  24%|██▎       | 2.36G/9.98G [00:01<00:02, 2.67GB/s]
model-00001-of-00002.safetensors:  26%|██▋       | 2.63G/9.98G [00:02<00:05, 1.39GB/s]
model-00001-of-00002.safetensors:  28%|██▊       | 2.84G/9.98G [00:02<00:09, 756MB/s] 
model-00001-of-00002.safetensors:  30%|███       | 3.00G/9.98G [00:03<00:11, 605MB/s]
model-00001-of-00002.safetensors:  31%|███▏      | 3.12G/9.98G [00:03<00:10, 660MB/s]
model-00001-of-00002.safetensors:  32%|███▏      | 3.24G/9.98G [00:03<00:09, 709MB/s]
model-00001-of-00002.safetensors:  34%|███▎      | 3.36G/9.98G [00:03<00:08, 768MB/s]
model-00001-of-00002.safetensors:  35%|███▍      | 3.47G/9.98G [00:03<00:07, 822MB/s]
model-00001-of-00002.safetensors:  36%|███▋      | 3.63G/9.98G [00:03<00:06, 943MB/s]
model-00001-of-00002.safetensors:  38%|███▊      | 3.75G/9.98G [00:03<00:06, 956MB/s]
model-00001-of-00002.safetensors:  39%|███▉      | 3.88G/9.98G [00:04<00:06, 1.01GB/s]
model-00001-of-00002.safetensors:  41%|████      | 4.06G/9.98G [00:04<00:04, 1.19GB/s]
model-00001-of-00002.safetensors:  45%|████▍     | 4.49G/9.98G [00:04<00:02, 1.98GB/s]
model-00001-of-00002.safetensors:  48%|████▊     | 4.78G/9.98G [00:04<00:02, 2.18GB/s]
model-00001-of-00002.safetensors:  50%|█████     | 5.02G/9.98G [00:04<00:02, 2.15GB/s]
model-00001-of-00002.safetensors:  53%|█████▎    | 5.25G/9.98G [00:04<00:02, 1.89GB/s]
model-00001-of-00002.safetensors:  55%|█████▍    | 5.46G/9.98G [00:04<00:02, 1.55GB/s]
model-00001-of-00002.safetensors:  57%|█████▋    | 5.64G/9.98G [00:05<00:03, 1.40GB/s]
model-00001-of-00002.safetensors:  58%|█████▊    | 5.81G/9.98G [00:05<00:02, 1.46GB/s]
model-00001-of-00002.safetensors:  60%|██████    | 5.99G/9.98G [00:05<00:02, 1.51GB/s]
model-00001-of-00002.safetensors:  62%|██████▏   | 6.16G/9.98G [00:05<00:02, 1.51GB/s]
model-00001-of-00002.safetensors:  64%|██████▎   | 6.34G/9.98G [00:05<00:02, 1.59GB/s]
model-00001-of-00002.safetensors:  65%|██████▌   | 6.51G/9.98G [00:05<00:02, 1.56GB/s]
model-00001-of-00002.safetensors:  67%|██████▋   | 6.68G/9.98G [00:05<00:02, 1.53GB/s]
model-00001-of-00002.safetensors:  69%|██████▊   | 6.84G/9.98G [00:05<00:02, 1.51GB/s]
model-00001-of-00002.safetensors:  70%|███████   | 7.00G/9.98G [00:05<00:01, 1.55GB/s]
model-00001-of-00002.safetensors:  72%|███████▏  | 7.16G/9.98G [00:06<00:02, 1.35GB/s]
model-00001-of-00002.safetensors:  73%|███████▎  | 7.33G/9.98G [00:06<00:01, 1.41GB/s]
model-00001-of-00002.safetensors:  75%|███████▌  | 7.51G/9.98G [00:06<00:01, 1.49GB/s]
model-00001-of-00002.safetensors:  78%|███████▊  | 7.77G/9.98G [00:06<00:01, 1.79GB/s]
model-00001-of-00002.safetensors:  81%|████████  | 8.03G/9.98G [00:06<00:00, 2.02GB/s]
model-00001-of-00002.safetensors:  83%|████████▎ | 8.24G/9.98G [00:06<00:00, 1.88GB/s]
model-00001-of-00002.safetensors:  85%|████████▍ | 8.44G/9.98G [00:06<00:00, 1.81GB/s]
model-00001-of-00002.safetensors:  87%|████████▋ | 8.67G/9.98G [00:06<00:00, 1.90GB/s]
model-00001-of-00002.safetensors:  89%|████████▉ | 8.88G/9.98G [00:06<00:00, 1.93GB/s]
model-00001-of-00002.safetensors:  91%|█████████ | 9.10G/9.98G [00:07<00:00, 1.98GB/s]
model-00001-of-00002.safetensors:  93%|█████████▎| 9.31G/9.98G [00:07<00:00, 1.75GB/s]
model-00001-of-00002.safetensors:  97%|█████████▋| 9.65G/9.98G [00:07<00:00, 2.15GB/s]
model-00001-of-00002.safetensors: 100%|█████████▉| 9.97G/9.98G [00:07<00:00, 2.41GB/s]
model-00001-of-00002.safetensors: 100%|█████████▉| 9.98G/9.98G [00:08<00:00, 1.24GB/s]
arlineka-kittynyanster-v1-v7-mkmlizer: 
model-00002-of-00002.safetensors:   0%|          | 0.00/4.51G [00:00<?, ?B/s]
model-00002-of-00002.safetensors:   0%|          | 10.5M/4.51G [00:00<00:58, 76.6MB/s]
model-00002-of-00002.safetensors:   1%|▏         | 62.9M/4.51G [00:00<00:17, 248MB/s] 
model-00002-of-00002.safetensors:   3%|▎         | 136M/4.51G [00:00<00:10, 425MB/s] 
model-00002-of-00002.safetensors:   6%|▋         | 283M/4.51G [00:00<00:05, 753MB/s]
model-00002-of-00002.safetensors:  12%|█▏        | 556M/4.51G [00:00<00:02, 1.37GB/s]
model-00002-of-00002.safetensors:  16%|█▌        | 703M/4.51G [00:00<00:02, 1.30GB/s]
model-00002-of-00002.safetensors:  19%|█▊        | 839M/4.51G [00:00<00:03, 1.14GB/s]
model-00002-of-00002.safetensors:  21%|██▏       | 965M/4.51G [00:00<00:03, 1.11GB/s]
model-00002-of-00002.safetensors:  26%|██▋       | 1.18G/4.51G [00:01<00:02, 1.40GB/s]
model-00002-of-00002.safetensors:  32%|███▏      | 1.44G/4.51G [00:01<00:01, 1.70GB/s]
model-00002-of-00002.safetensors:  36%|███▌      | 1.63G/4.51G [00:01<00:01, 1.46GB/s]
model-00002-of-00002.safetensors:  40%|███▉      | 1.79G/4.51G [00:01<00:02, 1.28GB/s]
model-00002-of-00002.safetensors:  43%|████▎     | 1.94G/4.51G [00:01<00:02, 1.12GB/s]
model-00002-of-00002.safetensors:  46%|████▌     | 2.07G/4.51G [00:01<00:02, 1.14GB/s]
model-00002-of-00002.safetensors:  49%|████▊     | 2.19G/4.51G [00:01<00:02, 1.09GB/s]
model-00002-of-00002.safetensors:  54%|█████▍    | 2.43G/4.51G [00:02<00:01, 1.38GB/s]
model-00002-of-00002.safetensors:  61%|██████▏   | 2.77G/4.51G [00:02<00:00, 1.86GB/s]
model-00002-of-00002.safetensors:  67%|██████▋   | 3.01G/4.51G [00:02<00:00, 1.96GB/s]
model-00002-of-00002.safetensors:  72%|███████▏  | 3.25G/4.51G [00:02<00:00, 2.08GB/s]
model-00002-of-00002.safetensors:  77%|███████▋  | 3.48G/4.51G [00:02<00:00, 2.11GB/s]
model-00002-of-00002.safetensors:  83%|████████▎ | 3.74G/4.51G [00:02<00:00, 2.23GB/s]
model-00002-of-00002.safetensors:  88%|████████▊ | 3.97G/4.51G [00:02<00:00, 1.91GB/s]
model-00002-of-00002.safetensors:  93%|█████████▎| 4.18G/4.51G [00:02<00:00, 1.73GB/s]
model-00002-of-00002.safetensors:  97%|█████████▋| 4.37G/4.51G [00:03<00:00, 1.69GB/s]
model-00002-of-00002.safetensors: 100%|█████████▉| 4.51G/4.51G [00:03<00:00, 1.46GB/s]
arlineka-kittynyanster-v1-v7-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, 34.4MB/s]
arlineka-kittynyanster-v1-v7-mkmlizer: 
special_tokens_map.json:   0%|          | 0.00/414 [00:00<?, ?B/s]
special_tokens_map.json: 100%|██████████| 414/414 [00:00<00:00, 3.82MB/s]
arlineka-kittynyanster-v1-v7-mkmlizer: 
tokenizer.json:   0%|          | 0.00/1.80M [00:00<?, ?B/s]
tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 7.53MB/s]
tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 7.49MB/s]
arlineka-kittynyanster-v1-v7-mkmlizer: 
tokenizer.model:   0%|          | 0.00/493k [00:00<?, ?B/s]
tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 64.3MB/s]
arlineka-kittynyanster-v1-v7-mkmlizer: 
tokenizer_config.json:   0%|          | 0.00/967 [00:00<?, ?B/s]
tokenizer_config.json: 100%|██████████| 967/967 [00:00<00:00, 8.03MB/s]
arlineka-kittynyanster-v1-v7-mkmlizer: Downloaded to shared memory in 13.021s
arlineka-kittynyanster-v1-v7-mkmlizer: quantizing model to /dev/shm/model_cache
arlineka-kittynyanster-v1-v7-mkmlizer: Saving mkml model at /dev/shm/model_cache
arlineka-kittynyanster-v1-v7-mkmlizer: Reading /tmp/tmp2kxc4suc/model.safetensors.index.json
arlineka-kittynyanster-v1-v7-mkmlizer: 
Profiling:   0%|          | 0/291 [00:00<?, ?it/s]
Profiling:   0%|          | 1/291 [00:01<06:40,  1.38s/it]
Profiling:   4%|▍         | 12/291 [00:01<00:25, 10.98it/s]
Profiling:   8%|▊         | 22/291 [00:01<00:12, 21.26it/s]
Profiling:  12%|█▏        | 36/291 [00:01<00:06, 37.96it/s]
Profiling:  16%|█▌        | 46/291 [00:01<00:05, 48.41it/s]
Profiling:  20%|█▉        | 58/291 [00:01<00:03, 61.26it/s]
Profiling:  24%|██▍       | 71/291 [00:02<00:02, 75.65it/s]
Profiling:  29%|██▉       | 84/291 [00:02<00:02, 88.00it/s]
Profiling:  33%|███▎      | 96/291 [00:02<00:02, 89.22it/s]
Profiling:  38%|███▊      | 111/291 [00:02<00:01, 103.66it/s]
Profiling:  43%|████▎     | 124/291 [00:02<00:01, 106.42it/s]
Profiling:  47%|████▋     | 138/291 [00:02<00:01, 114.46it/s]
Profiling:  52%|█████▏    | 151/291 [00:02<00:01, 111.43it/s]
Profiling:  57%|█████▋    | 167/291 [00:02<00:01, 119.63it/s]
Profiling:  62%|██████▏   | 180/291 [00:02<00:00, 114.74it/s]
Profiling:  66%|██████▌   | 192/291 [00:03<00:00, 113.95it/s]
Profiling:  70%|███████   | 204/291 [00:04<00:04, 20.13it/s] 
Profiling:  76%|███████▌  | 220/291 [00:04<00:02, 28.91it/s]
Profiling:  79%|███████▉  | 231/291 [00:05<00:01, 35.38it/s]
Profiling:  85%|████████▌ | 248/291 [00:05<00:00, 48.40it/s]
Profiling:  90%|████████▉ | 261/291 [00:05<00:00, 58.75it/s]
Profiling:  95%|█████████▍| 275/291 [00:05<00:00, 69.32it/s]
Profiling:  99%|█████████▉| 289/291 [00:05<00:00, 81.31it/s]
Profiling: 100%|██████████| 291/291 [00:05<00:00, 50.73it/s]
arlineka-kittynyanster-v1-v7-mkmlizer: quantized model in 16.185s
arlineka-kittynyanster-v1-v7-mkmlizer: Processed model arlineka/KittyNyanster-v1 in 30.165s
arlineka-kittynyanster-v1-v7-mkmlizer: creating bucket guanaco-mkml-models
arlineka-kittynyanster-v1-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
arlineka-kittynyanster-v1-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v7
arlineka-kittynyanster-v1-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v7/tokenizer_config.json
arlineka-kittynyanster-v1-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v7/tokenizer.model
arlineka-kittynyanster-v1-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v7/special_tokens_map.json
arlineka-kittynyanster-v1-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v7/config.json
arlineka-kittynyanster-v1-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v7/tokenizer.json
arlineka-kittynyanster-v1-v7-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v7/mkml_model.tensors
arlineka-kittynyanster-v1-v7-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
arlineka-kittynyanster-v1-v7-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.
arlineka-kittynyanster-v1-v7-mkmlizer:   warnings.warn(
arlineka-kittynyanster-v1-v7-mkmlizer: 
config.json:   0%|          | 0.00/1.05k [00:00<?, ?B/s]
config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 8.51MB/s]
arlineka-kittynyanster-v1-v7-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.
arlineka-kittynyanster-v1-v7-mkmlizer:   warnings.warn(
arlineka-kittynyanster-v1-v7-mkmlizer: 
tokenizer_config.json:   0%|          | 0.00/234 [00:00<?, ?B/s]
tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.34MB/s]
arlineka-kittynyanster-v1-v7-mkmlizer: 
vocab.json:   0%|          | 0.00/1.04M [00:00<?, ?B/s]
vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 20.0MB/s]
arlineka-kittynyanster-v1-v7-mkmlizer: 
tokenizer.json:   0%|          | 0.00/2.11M [00:00<?, ?B/s]
tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 16.0MB/s]
tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 15.9MB/s]
arlineka-kittynyanster-v1-v7-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.
arlineka-kittynyanster-v1-v7-mkmlizer:   warnings.warn(
arlineka-kittynyanster-v1-v7-mkmlizer: 
pytorch_model.bin:   0%|          | 0.00/1.44G [00:00<?, ?B/s]
pytorch_model.bin:   1%|▏         | 21.0M/1.44G [00:00<00:10, 135MB/s]
pytorch_model.bin:   9%|▊         | 126M/1.44G [00:00<00:02, 567MB/s] 
pytorch_model.bin:  15%|█▍        | 210M/1.44G [00:00<00:02, 608MB/s]
pytorch_model.bin:  22%|██▏       | 315M/1.44G [00:00<00:01, 735MB/s]
pytorch_model.bin:  34%|███▍      | 493M/1.44G [00:00<00:00, 1.02GB/s]
pytorch_model.bin:  42%|████▏     | 606M/1.44G [00:00<00:01, 762MB/s] 
pytorch_model.bin:  48%|████▊     | 700M/1.44G [00:00<00:00, 786MB/s]
pytorch_model.bin:  63%|██████▎   | 910M/1.44G [00:01<00:00, 1.10GB/s]
pytorch_model.bin:  85%|████████▍ | 1.22G/1.44G [00:01<00:00, 1.63GB/s]
pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.17GB/s]
arlineka-kittynyanster-v1-v7-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
arlineka-kittynyanster-v1-v7-mkmlizer: Saving duration: 0.272s
arlineka-kittynyanster-v1-v7-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.027s
arlineka-kittynyanster-v1-v7-mkmlizer: creating bucket guanaco-reward-models
arlineka-kittynyanster-v1-v7-mkmlizer: Bucket 's3://guanaco-reward-models/' created
arlineka-kittynyanster-v1-v7-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/arlineka-kittynyanster-v1-v7_reward
arlineka-kittynyanster-v1-v7-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v7_reward/special_tokens_map.json
arlineka-kittynyanster-v1-v7-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v7_reward/config.json
arlineka-kittynyanster-v1-v7-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v7_reward/tokenizer_config.json
arlineka-kittynyanster-v1-v7-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/arlineka-kittynyanster-v1-v7_reward/merges.txt
arlineka-kittynyanster-v1-v7-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v7_reward/vocab.json
arlineka-kittynyanster-v1-v7-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v7_reward/tokenizer.json
arlineka-kittynyanster-v1-v7-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/arlineka-kittynyanster-v1-v7_reward/reward.tensors
Job arlineka-kittynyanster-v1-v7-mkmlizer completed after 53.83s with status: succeeded
Stopping job with name arlineka-kittynyanster-v1-v7-mkmlizer
Pipeline stage MKMLizer completed in 57.59s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service arlineka-kittynyanster-v1-v7
Waiting for inference service arlineka-kittynyanster-v1-v7 to be ready
Inference service arlineka-kittynyanster-v1-v7 ready after 50.68857002258301s
Pipeline stage ISVCDeployer completed in 58.30s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7684979438781738s
Received healthy response to inference request in 1.300499677658081s
Received healthy response to inference request in 1.2418630123138428s
Received healthy response to inference request in 1.2328450679779053s
Received healthy response to inference request in 1.2367372512817383s
5 requests
0 failed requests
5th percentile: 1.2336235046386719
10th percentile: 1.2344019412994385
20th percentile: 1.2359588146209717
30th percentile: 1.2377624034881591
40th percentile: 1.239812707901001
50th percentile: 1.2418630123138428
60th percentile: 1.265317678451538
70th percentile: 1.2887723445892334
80th percentile: 1.3940993309020997
90th percentile: 1.5812986373901368
95th percentile: 1.6748982906341552
99th percentile: 1.74977801322937
mean time: 1.3560885906219482
Pipeline stage StressChecker completed in 7.58s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
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
arlineka-kittynyanster-v1_v7 status is now deployed due to DeploymentManager action
arlineka-kittynyanster-v1_v7 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of arlineka-kittynyanster-v1_v7
Running pipeline stage ISVCDeleter
Checking if service arlineka-kittynyanster-v1-v7 is running
Tearing down inference service arlineka-kittynyanster-v1-v7
Toredown service arlineka-kittynyanster-v1-v7
Pipeline stage ISVCDeleter completed in 4.02s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key arlineka-kittynyanster-v1-v7/config.json from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v7/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v7/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v7/tokenizer.json from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v7/tokenizer.model from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v7/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key arlineka-kittynyanster-v1-v7_reward/config.json from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v7_reward/merges.txt from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v7_reward/reward.tensors from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v7_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v7_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v7_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v7_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.37s
arlineka-kittynyanster-v1_v7 status is now torndown due to DeploymentManager action