submission_id: arlineka-kittynyanster-v1_v10
developer_uid: zonemercy
status: torndown
model_repo: arlineka/KittyNyanster-v1
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
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####\nConverse with User by embodying Bot’s unique persona. Craft medium length, compelling replies that spark interaction, aim to captivate and inspire a continued dialogue.\n<START>\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
reward_formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-04-12T14:22:44+00:00
model_name: arlineka-kittynyanster-v1_p1
model_eval_status: success
model_group: arlineka/KittyNyanster-v
num_battles: 9809
num_wins: 5121
celo_rating: 1183.26
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: arlineka-kittynyanster-v1_p1
ineligible_reason: propriety_total_count < 800
language_model: arlineka/KittyNyanster-v1
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-12
win_ratio: 0.5220715669283311
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name arlineka-kittynyanster-v1-v10-mkmlizer
Waiting for job on arlineka-kittynyanster-v1-v10-mkmlizer to finish
arlineka-kittynyanster-v1-v10-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
arlineka-kittynyanster-v1-v10-mkmlizer: ║ _____ __ __ ║
arlineka-kittynyanster-v1-v10-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
arlineka-kittynyanster-v1-v10-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
arlineka-kittynyanster-v1-v10-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
arlineka-kittynyanster-v1-v10-mkmlizer: ║ /___/ ║
arlineka-kittynyanster-v1-v10-mkmlizer: ║ ║
arlineka-kittynyanster-v1-v10-mkmlizer: ║ Version: 0.6.11 ║
arlineka-kittynyanster-v1-v10-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
arlineka-kittynyanster-v1-v10-mkmlizer: ║ ║
arlineka-kittynyanster-v1-v10-mkmlizer: ║ The license key for the current software has been verified as ║
arlineka-kittynyanster-v1-v10-mkmlizer: ║ belonging to: ║
arlineka-kittynyanster-v1-v10-mkmlizer: ║ ║
arlineka-kittynyanster-v1-v10-mkmlizer: ║ Chai Research Corp. ║
arlineka-kittynyanster-v1-v10-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
arlineka-kittynyanster-v1-v10-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
arlineka-kittynyanster-v1-v10-mkmlizer: ║ ║
arlineka-kittynyanster-v1-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
arlineka-kittynyanster-v1-v10-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 15.7MB/s]
arlineka-kittynyanster-v1-v10-mkmlizer: .gitignore: 0%| | 0.00/19.0 [00:00<?, ?B/s] .gitignore: 100%|██████████| 19.0/19.0 [00:00<00:00, 288kB/s]
arlineka-kittynyanster-v1-v10-mkmlizer: README.md: 0%| | 0.00/259 [00:00<?, ?B/s] README.md: 100%|██████████| 259/259 [00:00<00:00, 3.33MB/s]
arlineka-kittynyanster-v1-v10-mkmlizer: config.json: 0%| | 0.00/690 [00:00<?, ?B/s] config.json: 100%|██████████| 690/690 [00:00<00:00, 8.99MB/s]
arlineka-kittynyanster-v1-v10-mkmlizer: model-00001-of-00002.safetensors: 0%| | 0.00/9.98G [00:00<?, ?B/s] model-00001-of-00002.safetensors: 0%| | 10.5M/9.98G [00:00<08:23, 19.8MB/s] model-00001-of-00002.safetensors: 1%| | 62.9M/9.98G [00:00<01:18, 126MB/s] model-00001-of-00002.safetensors: 1%| | 115M/9.98G [00:00<00:50, 195MB/s] model-00001-of-00002.safetensors: 2%|▏ | 241M/9.98G [00:00<00:22, 437MB/s] model-00001-of-00002.safetensors: 5%|▌ | 503M/9.98G [00:00<00:09, 971MB/s] model-00001-of-00002.safetensors: 7%|▋ | 650M/9.98G [00:01<00:09, 1.01GB/s] model-00001-of-00002.safetensors: 8%|▊ | 797M/9.98G [00:01<00:08, 1.13GB/s] model-00001-of-00002.safetensors: 10%|▉ | 965M/9.98G [00:01<00:07, 1.26GB/s] model-00001-of-00002.safetensors: 11%|█ | 1.12G/9.98G [00:01<00:06, 1.34GB/s] model-00001-of-00002.safetensors: 13%|█▎ | 1.28G/9.98G [00:01<00:06, 1.38GB/s] model-00001-of-00002.safetensors: 15%|█▌ | 1.51G/9.98G [00:01<00:05, 1.63GB/s] model-00001-of-00002.safetensors: 17%|█▋ | 1.69G/9.98G [00:01<00:05, 1.50GB/s] model-00001-of-00002.safetensors: 19%|█▉ | 1.92G/9.98G [00:01<00:04, 1.65GB/s] model-00001-of-00002.safetensors: 21%|██ | 2.11G/9.98G [00:01<00:04, 1.71GB/s] model-00001-of-00002.safetensors: 23%|██▎ | 2.29G/9.98G [00:02<00:04, 1.59GB/s] model-00001-of-00002.safetensors: 25%|██▌ | 2.50G/9.98G [00:02<00:04, 1.65GB/s] model-00001-of-00002.safetensors: 27%|██▋ | 2.67G/9.98G [00:02<00:04, 1.64GB/s] model-00001-of-00002.safetensors: 28%|██▊ | 2.84G/9.98G [00:02<00:04, 1.58GB/s] model-00001-of-00002.safetensors: 30%|███ | 3.01G/9.98G [00:02<00:04, 1.49GB/s] model-00001-of-00002.safetensors: 32%|███▏ | 3.21G/9.98G [00:02<00:04, 1.62GB/s] model-00001-of-00002.safetensors: 35%|███▍ | 3.46G/9.98G [00:02<00:03, 1.84GB/s] model-00001-of-00002.safetensors: 37%|███▋ | 3.65G/9.98G [00:02<00:03, 1.58GB/s] model-00001-of-00002.safetensors: 38%|███▊ | 3.82G/9.98G [00:03<00:03, 1.56GB/s] model-00001-of-00002.safetensors: 40%|███▉ | 3.98G/9.98G [00:03<00:03, 1.57GB/s] model-00001-of-00002.safetensors: 42%|████▏ | 4.15G/9.98G [00:03<00:03, 1.58GB/s] model-00001-of-00002.safetensors: 44%|████▎ | 4.35G/9.98G [00:03<00:03, 1.67GB/s] model-00001-of-00002.safetensors: 46%|████▌ | 4.57G/9.98G [00:03<00:03, 1.76GB/s] model-00001-of-00002.safetensors: 48%|████▊ | 4.75G/9.98G [00:03<00:03, 1.48GB/s] model-00001-of-00002.safetensors: 49%|████▉ | 4.93G/9.98G [00:03<00:03, 1.55GB/s] model-00001-of-00002.safetensors: 51%|█████ | 5.11G/9.98G [00:03<00:03, 1.61GB/s] model-00001-of-00002.safetensors: 54%|█████▎ | 5.36G/9.98G [00:03<00:02, 1.82GB/s] model-00001-of-00002.safetensors: 56%|█████▌ | 5.55G/9.98G [00:04<00:02, 1.56GB/s] model-00001-of-00002.safetensors: 57%|█████▋ | 5.74G/9.98G [00:04<00:02, 1.60GB/s] model-00001-of-00002.safetensors: 59%|█████▉ | 5.90G/9.98G [00:04<00:02, 1.57GB/s] model-00001-of-00002.safetensors: 61%|██████▏ | 6.13G/9.98G [00:04<00:02, 1.77GB/s] model-00001-of-00002.safetensors: 63%|██████▎ | 6.32G/9.98G [00:04<00:02, 1.54GB/s] model-00001-of-00002.safetensors: 65%|██████▌ | 6.49G/9.98G [00:04<00:02, 1.37GB/s] model-00001-of-00002.safetensors: 67%|██████▋ | 6.69G/9.98G [00:04<00:02, 1.52GB/s] model-00001-of-00002.safetensors: 69%|██████▊ | 6.86G/9.98G [00:04<00:02, 1.52GB/s] model-00001-of-00002.safetensors: 71%|███████ | 7.07G/9.98G [00:05<00:01, 1.67GB/s] model-00001-of-00002.safetensors: 73%|███████▎ | 7.26G/9.98G [00:05<00:01, 1.70GB/s] model-00001-of-00002.safetensors: 75%|███████▍ | 7.43G/9.98G [00:05<00:01, 1.51GB/s] model-00001-of-00002.safetensors: 76%|███████▋ | 7.62G/9.98G [00:05<00:01, 1.52GB/s] model-00001-of-00002.safetensors: 78%|███████▊ | 7.78G/9.98G [00:05<00:01, 1.50GB/s] model-00001-of-00002.safetensors: 80%|███████▉ | 7.97G/9.98G [00:05<00:01, 1.60GB/s] model-00001-of-00002.safetensors: 82%|████████▏ | 8.18G/9.98G [00:05<00:01, 1.70GB/s] model-00001-of-00002.safetensors: 84%|████████▍ | 8.36G/9.98G [00:05<00:01, 1.49GB/s] model-00001-of-00002.safetensors: 86%|████████▌ | 8.59G/9.98G [00:06<00:00, 1.67GB/s] model-00001-of-00002.safetensors: 88%|████████▊ | 8.77G/9.98G [00:06<00:00, 1.48GB/s] model-00001-of-00002.safetensors: 89%|████████▉ | 8.92G/9.98G [00:06<00:00, 1.37GB/s] model-00001-of-00002.safetensors: 92%|█████████▏| 9.22G/9.98G [00:06<00:00, 1.72GB/s] model-00001-of-00002.safetensors: 95%|█████████▍| 9.45G/9.98G [00:06<00:00, 1.85GB/s] model-00001-of-00002.safetensors: 98%|█████████▊| 9.77G/9.98G [00:06<00:00, 2.20GB/s] model-00001-of-00002.safetensors: 100%|█████████▉| 9.98G/9.98G [00:07<00:00, 1.40GB/s]
arlineka-kittynyanster-v1-v10-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<02:39, 28.3MB/s] model-00002-of-00002.safetensors: 1%| | 41.9M/4.51G [00:00<00:54, 81.9MB/s] model-00002-of-00002.safetensors: 6%|▋ | 283M/4.51G [00:00<00:06, 621MB/s] model-00002-of-00002.safetensors: 10%|▉ | 440M/4.51G [00:00<00:04, 851MB/s] model-00002-of-00002.safetensors: 13%|█▎ | 577M/4.51G [00:01<00:05, 661MB/s] model-00002-of-00002.safetensors: 15%|█▌ | 692M/4.51G [00:01<00:05, 749MB/s] model-00002-of-00002.safetensors: 18%|█▊ | 818M/4.51G [00:01<00:04, 858MB/s] model-00002-of-00002.safetensors: 21%|██ | 954M/4.51G [00:01<00:03, 967MB/s] model-00002-of-00002.safetensors: 24%|██▍ | 1.08G/4.51G [00:01<00:03, 942MB/s] model-00002-of-00002.safetensors: 27%|██▋ | 1.23G/4.51G [00:01<00:03, 1.05GB/s] model-00002-of-00002.safetensors: 30%|███ | 1.36G/4.51G [00:01<00:02, 1.12GB/s] model-00002-of-00002.safetensors: 34%|███▍ | 1.53G/4.51G [00:01<00:02, 1.24GB/s] model-00002-of-00002.safetensors: 37%|███▋ | 1.69G/4.51G [00:01<00:02, 1.32GB/s] model-00002-of-00002.safetensors: 41%|████ | 1.84G/4.51G [00:02<00:02, 1.31GB/s] model-00002-of-00002.safetensors: 45%|████▍ | 2.02G/4.51G [00:02<00:01, 1.38GB/s] model-00002-of-00002.safetensors: 48%|████▊ | 2.17G/4.51G [00:02<00:01, 1.23GB/s] model-00002-of-00002.safetensors: 52%|█████▏ | 2.36G/4.51G [00:02<00:01, 1.36GB/s] model-00002-of-00002.safetensors: 56%|█████▌ | 2.52G/4.51G [00:02<00:01, 1.41GB/s] model-00002-of-00002.safetensors: 61%|██████ | 2.75G/4.51G [00:02<00:01, 1.57GB/s] model-00002-of-00002.safetensors: 65%|██████▍ | 2.92G/4.51G [00:02<00:01, 1.40GB/s] model-00002-of-00002.safetensors: 68%|██████▊ | 3.06G/4.51G [00:02<00:01, 1.39GB/s] model-00002-of-00002.safetensors: 71%|███████ | 3.21G/4.51G [00:03<00:01, 1.24GB/s] model-00002-of-00002.safetensors: 74%|███████▍ | 3.34G/4.51G [00:03<00:01, 1.08GB/s] model-00002-of-00002.safetensors: 77%|███████▋ | 3.48G/4.51G [00:03<00:00, 1.13GB/s] model-00002-of-00002.safetensors: 80%|████████ | 3.61G/4.51G [00:03<00:01, 832MB/s] model-00002-of-00002.safetensors: 83%|████████▎ | 3.75G/4.51G [00:03<00:00, 954MB/s] model-00002-of-00002.safetensors: 87%|████████▋ | 3.91G/4.51G [00:03<00:00, 1.08GB/s] model-00002-of-00002.safetensors: 93%|█████████▎| 4.18G/4.51G [00:03<00:00, 1.47GB/s] model-00002-of-00002.safetensors: 100%|█████████▉| 4.51G/4.51G [00:04<00:00, 1.23GB/s] model-00002-of-00002.safetensors: 100%|█████████▉| 4.51G/4.51G [00:04<00:00, 1.05GB/s]
arlineka-kittynyanster-v1-v10-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, 14.9MB/s]
arlineka-kittynyanster-v1-v10-mkmlizer: special_tokens_map.json: 0%| | 0.00/414 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 414/414 [00:00<00:00, 5.58MB/s]
arlineka-kittynyanster-v1-v10-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 16.9MB/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 16.8MB/s]
arlineka-kittynyanster-v1-v10-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 6.04MB/s]
arlineka-kittynyanster-v1-v10-mkmlizer: tokenizer_config.json: 0%| | 0.00/967 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 967/967 [00:00<00:00, 16.2MB/s]
arlineka-kittynyanster-v1-v10-mkmlizer: Downloaded to shared memory in 13.172s
arlineka-kittynyanster-v1-v10-mkmlizer: quantizing model to /dev/shm/model_cache
arlineka-kittynyanster-v1-v10-mkmlizer: Saving mkml model at /dev/shm/model_cache
arlineka-kittynyanster-v1-v10-mkmlizer: Reading /tmp/tmp_6ca_q1g/model.safetensors.index.json
arlineka-kittynyanster-v1-v10-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:18, 1.30s/it] Profiling: 4%|▍ | 12/291 [00:01<00:24, 11.46it/s] Profiling: 8%|▊ | 23/291 [00:01<00:11, 23.13it/s] Profiling: 13%|█▎ | 39/291 [00:01<00:05, 42.59it/s] Profiling: 17%|█▋ | 50/291 [00:01<00:04, 52.89it/s] Profiling: 23%|██▎ | 66/291 [00:01<00:03, 72.32it/s] Profiling: 27%|██▋ | 78/291 [00:01<00:02, 79.66it/s] Profiling: 32%|███▏ | 93/291 [00:02<00:02, 94.18it/s] Profiling: 36%|███▋ | 106/291 [00:02<00:01, 98.38it/s] Profiling: 41%|████ | 120/291 [00:02<00:01, 106.43it/s] Profiling: 46%|████▌ | 133/291 [00:02<00:01, 107.25it/s] Profiling: 50%|████▉ | 145/291 [00:02<00:01, 110.15it/s] Profiling: 55%|█████▍ | 159/291 [00:02<00:01, 113.08it/s] Profiling: 59%|█████▉ | 172/291 [00:02<00:01, 117.08it/s] Profiling: 64%|██████▎ | 185/291 [00:02<00:00, 120.27it/s] Profiling: 68%|██████▊ | 198/291 [00:02<00:00, 116.45it/s] Profiling: 72%|███████▏ | 210/291 [00:04<00:04, 19.18it/s] Profiling: 76%|███████▌ | 220/291 [00:05<00:02, 24.02it/s] Profiling: 79%|███████▉ | 231/291 [00:05<00:01, 30.57it/s] Profiling: 85%|████████▍ | 247/291 [00:05<00:01, 43.45it/s] Profiling: 89%|████████▊ | 258/291 [00:05<00:00, 51.22it/s] Profiling: 94%|█████████▍| 274/291 [00:05<00:00, 67.23it/s] Profiling: 99%|█████████▊| 287/291 [00:05<00:00, 76.18it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 50.25it/s]
arlineka-kittynyanster-v1-v10-mkmlizer: quantized model in 16.571s
arlineka-kittynyanster-v1-v10-mkmlizer: Processed model arlineka/KittyNyanster-v1 in 30.747s
arlineka-kittynyanster-v1-v10-mkmlizer: creating bucket guanaco-mkml-models
arlineka-kittynyanster-v1-v10-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
arlineka-kittynyanster-v1-v10-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v10
arlineka-kittynyanster-v1-v10-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v10/config.json
arlineka-kittynyanster-v1-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v10/tokenizer_config.json
arlineka-kittynyanster-v1-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v10/tokenizer.model
arlineka-kittynyanster-v1-v10-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v10/special_tokens_map.json
arlineka-kittynyanster-v1-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v10/tokenizer.json
arlineka-kittynyanster-v1-v10-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v10/mkml_model.tensors
arlineka-kittynyanster-v1-v10-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
arlineka-kittynyanster-v1-v10-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-v10-mkmlizer: warnings.warn(
arlineka-kittynyanster-v1-v10-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 6.61MB/s]
arlineka-kittynyanster-v1-v10-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-v10-mkmlizer: warnings.warn(
arlineka-kittynyanster-v1-v10-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 1.59MB/s]
arlineka-kittynyanster-v1-v10-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 10.2MB/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 10.2MB/s]
arlineka-kittynyanster-v1-v10-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 41.0MB/s]
arlineka-kittynyanster-v1-v10-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-v10-mkmlizer: warnings.warn(
arlineka-kittynyanster-v1-v10-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:51, 27.7MB/s] pytorch_model.bin: 2%|▏ | 31.5M/1.44G [00:00<00:18, 75.0MB/s] pytorch_model.bin: 5%|▌ | 73.4M/1.44G [00:00<00:08, 168MB/s] pytorch_model.bin: 8%|▊ | 115M/1.44G [00:00<00:10, 132MB/s] pytorch_model.bin: 11%|█ | 157M/1.44G [00:01<00:07, 183MB/s] pytorch_model.bin: 17%|█▋ | 241M/1.44G [00:01<00:03, 303MB/s] pytorch_model.bin: 23%|██▎ | 336M/1.44G [00:01<00:02, 442MB/s] pytorch_model.bin: 28%|██▊ | 409M/1.44G [00:01<00:02, 508MB/s] pytorch_model.bin: 33%|███▎ | 472M/1.44G [00:01<00:01, 524MB/s] pytorch_model.bin: 46%|████▌ | 661M/1.44G [00:01<00:00, 855MB/s] pytorch_model.bin: 57%|█████▋ | 828M/1.44G [00:01<00:00, 1.05GB/s] pytorch_model.bin: 78%|███████▊ | 1.12G/1.44G [00:01<00:00, 1.54GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 735MB/s]
arlineka-kittynyanster-v1-v10-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
arlineka-kittynyanster-v1-v10-mkmlizer: Saving duration: 0.260s
arlineka-kittynyanster-v1-v10-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.732s
arlineka-kittynyanster-v1-v10-mkmlizer: creating bucket guanaco-reward-models
arlineka-kittynyanster-v1-v10-mkmlizer: Bucket 's3://guanaco-reward-models/' created
arlineka-kittynyanster-v1-v10-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/arlineka-kittynyanster-v1-v10_reward
arlineka-kittynyanster-v1-v10-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v10_reward/config.json
arlineka-kittynyanster-v1-v10-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v10_reward/special_tokens_map.json
arlineka-kittynyanster-v1-v10-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v10_reward/tokenizer_config.json
arlineka-kittynyanster-v1-v10-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v10_reward/vocab.json
arlineka-kittynyanster-v1-v10-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/arlineka-kittynyanster-v1-v10_reward/merges.txt
arlineka-kittynyanster-v1-v10-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v10_reward/tokenizer.json
arlineka-kittynyanster-v1-v10-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/arlineka-kittynyanster-v1-v10_reward/reward.tensors
Job arlineka-kittynyanster-v1-v10-mkmlizer completed after 64.28s with status: succeeded
Stopping job with name arlineka-kittynyanster-v1-v10-mkmlizer
Pipeline stage MKMLizer completed in 68.85s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service arlineka-kittynyanster-v1-v10
Waiting for inference service arlineka-kittynyanster-v1-v10 to be ready
Inference service arlineka-kittynyanster-v1-v10 ready after 30.19485831260681s
Pipeline stage ISVCDeployer completed in 37.96s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7097318172454834s
Received healthy response to inference request in 1.2010576725006104s
Received healthy response to inference request in 1.2015464305877686s
Received healthy response to inference request in 1.189284324645996s
Received healthy response to inference request in 1.8151180744171143s
5 requests
0 failed requests
5th percentile: 1.191638994216919
10th percentile: 1.1939936637878419
20th percentile: 1.1987030029296875
30th percentile: 1.201155424118042
40th percentile: 1.2013509273529053
50th percentile: 1.2015464305877686
60th percentile: 1.4048205852508544
70th percentile: 1.6080947399139403
80th percentile: 1.7308090686798097
90th percentile: 1.772963571548462
95th percentile: 1.794040822982788
99th percentile: 1.810902624130249
mean time: 1.4233476638793945
Pipeline stage StressChecker completed in 7.98s
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 0.05s
M-Eval Dataset for topic stay_in_character is loaded
arlineka-kittynyanster-v1_v10 status is now deployed due to DeploymentManager action
arlineka-kittynyanster-v1_v10 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of arlineka-kittynyanster-v1_v10
Running pipeline stage ISVCDeleter
Checking if service arlineka-kittynyanster-v1-v10 is running
Tearing down inference service arlineka-kittynyanster-v1-v10
Toredown service arlineka-kittynyanster-v1-v10
Pipeline stage ISVCDeleter completed in 3.93s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key arlineka-kittynyanster-v1-v10/config.json from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v10/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v10/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v10/tokenizer.json from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v10/tokenizer.model from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v10/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key arlineka-kittynyanster-v1-v10_reward/config.json from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v10_reward/merges.txt from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v10_reward/reward.tensors from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v10_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v10_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v10_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v10_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.42s
arlineka-kittynyanster-v1_v10 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics