submission_id: sanjiwatsuki-loyal-toppy_4295_v3
developer_uid: zonemercy
status: torndown
model_repo: SanjiWatsuki/Loyal-Toppy-Bruins-Maid-7B-DARE
reward_repo: rirv938/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', '</s>', '###'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "### Instruction:\n\nRole-play as {bot_name} based on the Persona: {memory}.\n\nAvoid repetition, don't loop. Develop the plot slowly, always stay in character. Describe all actions in full, elaborate, explicit, graphic, and vivid detail. Mention all relevant sensory perceptions.", 'prompt_template': '{prompt}\n<START>\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}
timestamp: 2024-03-22T06:17:54+00:00
model_name: sanjiwatsuki-loyal-toppy_4295_v3
model_eval_status: success
model_group: SanjiWatsuki/Loyal-Toppy
num_battles: 112068
num_wins: 59132
celo_rating: 1177.29
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: None
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: sanjiwatsuki-loyal-toppy_4295_v3
ineligible_reason: propriety_total_count < 800
language_model: SanjiWatsuki/Loyal-Toppy-Bruins-Maid-7B-DARE
model_size: 7B
reward_model: rirv938/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-03-21
win_ratio: 0.5276439304707856
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer
Waiting for job on sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer to finish
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: ║ _____ __ __ ║
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: ║ /___/ ║
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: ║ ║
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: ║ Version: 0.6.11 ║
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: ║ ║
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: ║ The license key for the current software has been verified as ║
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: ║ belonging to: ║
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: ║ ║
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: ║ Chai Research Corp. ║
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: ║ ║
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: .gitattributes: 0%| | 0.00/1.57k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.57k/1.57k [00:00<00:00, 13.2MB/s]
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: README.md: 0%| | 0.00/3.39k [00:00<?, ?B/s] README.md: 100%|██████████| 3.39k/3.39k [00:00<00:00, 44.6MB/s]
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: bruins-maid.png: 0%| | 0.00/1.19M [00:00<?, ?B/s] bruins-maid.png: 100%|██████████| 1.19M/1.19M [00:00<00:00, 4.42MB/s] bruins-maid.png: 100%|██████████| 1.19M/1.19M [00:00<00:00, 4.40MB/s]
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: config.json: 0%| | 0.00/642 [00:00<?, ?B/s] config.json: 100%|██████████| 642/642 [00:00<00:00, 7.14MB/s]
Failed to get response for submission thanhdaonguyen-once-upon-a-t_v37: HTTPConnectionPool(host='thanhdaonguyen-once-upon-a-t-v37-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud', port=80): Read timed out. (read timeout=5.5)
sanjiwatsuki-loyal-toppy-4295-v3-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<14:20, 11.6MB/s] model-00001-of-00002.safetensors: 0%| | 21.0M/9.98G [00:01<07:08, 23.2MB/s] model-00001-of-00002.safetensors: 0%| | 31.5M/9.98G [00:01<04:38, 35.8MB/s] model-00001-of-00002.safetensors: 0%| | 41.9M/9.98G [00:01<06:52, 24.1MB/s] model-00001-of-00002.safetensors: 1%| | 73.4M/9.98G [00:01<02:53, 57.1MB/s] model-00001-of-00002.safetensors: 3%|▎ | 262M/9.98G [00:02<00:31, 313MB/s] model-00001-of-00002.safetensors: 4%|▍ | 409M/9.98G [00:02<00:18, 504MB/s] model-00001-of-00002.safetensors: 9%|▉ | 902M/9.98G [00:02<00:06, 1.35GB/s] model-00001-of-00002.safetensors: 11%|█▏ | 1.13G/9.98G [00:02<00:09, 979MB/s] model-00001-of-00002.safetensors: 13%|█▎ | 1.31G/9.98G [00:02<00:07, 1.11GB/s] model-00001-of-00002.safetensors: 15%|█▍ | 1.49G/9.98G [00:02<00:07, 1.18GB/s] model-00001-of-00002.safetensors: 18%|█▊ | 1.78G/9.98G [00:02<00:05, 1.53GB/s] model-00001-of-00002.safetensors: 21%|██▏ | 2.14G/9.98G [00:03<00:04, 1.89GB/s] model-00001-of-00002.safetensors: 26%|██▌ | 2.55G/9.98G [00:03<00:03, 2.40GB/s] model-00001-of-00002.safetensors: 28%|██▊ | 2.83G/9.98G [00:03<00:04, 1.43GB/s] model-00001-of-00002.safetensors: 31%|███ | 3.05G/9.98G [00:04<00:09, 745MB/s] model-00001-of-00002.safetensors: 32%|███▏ | 3.22G/9.98G [00:04<00:12, 553MB/s] model-00001-of-00002.safetensors: 34%|███▎ | 3.34G/9.98G [00:05<00:11, 571MB/s] model-00001-of-00002.safetensors: 35%|███▍ | 3.46G/9.98G [00:05<00:10, 621MB/s] model-00001-of-00002.safetensors: 36%|███▌ | 3.58G/9.98G [00:05<00:09, 669MB/s] model-00001-of-00002.safetensors: 38%|███▊ | 3.81G/9.98G [00:05<00:06, 886MB/s] model-00001-of-00002.safetensors: 40%|███▉ | 3.94G/9.98G [00:05<00:07, 813MB/s] model-00001-of-00002.safetensors: 41%|████ | 4.10G/9.98G [00:05<00:06, 937MB/s] model-00001-of-00002.safetensors: 45%|████▍ | 4.47G/9.98G [00:05<00:03, 1.45GB/s] model-00001-of-00002.safetensors: 47%|████▋ | 4.69G/9.98G [00:05<00:03, 1.59GB/s] model-00001-of-00002.safetensors: 49%|████▉ | 4.89G/9.98G [00:06<00:03, 1.52GB/s] model-00001-of-00002.safetensors: 52%|█████▏ | 5.14G/9.98G [00:06<00:02, 1.70GB/s] model-00001-of-00002.safetensors: 53%|█████▎ | 5.34G/9.98G [00:06<00:02, 1.75GB/s] model-00001-of-00002.safetensors: 55%|█████▌ | 5.54G/9.98G [00:06<00:02, 1.48GB/s] model-00001-of-00002.safetensors: 57%|█████▋ | 5.70G/9.98G [00:06<00:03, 1.42GB/s] model-00001-of-00002.safetensors: 59%|█████▉ | 5.90G/9.98G [00:06<00:02, 1.52GB/s] model-00001-of-00002.safetensors: 61%|██████▏ | 6.11G/9.98G [00:06<00:02, 1.66GB/s] model-00001-of-00002.safetensors: 63%|██████▎ | 6.30G/9.98G [00:06<00:02, 1.69GB/s] model-00001-of-00002.safetensors: 65%|██████▍ | 6.48G/9.98G [00:07<00:02, 1.60GB/s] model-00001-of-00002.safetensors: 67%|██████▋ | 6.66G/9.98G [00:07<00:02, 1.58GB/s] model-00001-of-00002.safetensors: 69%|██████▉ | 6.87G/9.98G [00:07<00:01, 1.71GB/s] model-00001-of-00002.safetensors: 71%|███████ | 7.05G/9.98G [00:07<00:02, 1.24GB/s] model-00001-of-00002.safetensors: 72%|███████▏ | 7.19G/9.98G [00:07<00:02, 1.23GB/s] model-00001-of-00002.safetensors: 74%|███████▍ | 7.40G/9.98G [00:07<00:01, 1.34GB/s] model-00001-of-00002.safetensors: 76%|███████▌ | 7.55G/9.98G [00:07<00:01, 1.23GB/s] model-00001-of-00002.safetensors: 77%|███████▋ | 7.73G/9.98G [00:08<00:01, 1.35GB/s] model-00001-of-00002.safetensors: 79%|███████▉ | 7.87G/9.98G [00:08<00:01, 1.30GB/s] model-00001-of-00002.safetensors: 80%|████████ | 8.01G/9.98G [00:08<00:01, 1.30GB/s] model-00001-of-00002.safetensors: 82%|████████▏ | 8.16G/9.98G [00:08<00:01, 1.32GB/s] model-00001-of-00002.safetensors: 84%|████████▍ | 8.38G/9.98G [00:08<00:01, 1.55GB/s] model-00001-of-00002.safetensors: 86%|████████▌ | 8.55G/9.98G [00:08<00:01, 1.37GB/s] model-00001-of-00002.safetensors: 88%|████████▊ | 8.79G/9.98G [00:08<00:00, 1.63GB/s] model-00001-of-00002.safetensors: 90%|████████▉ | 8.97G/9.98G [00:08<00:00, 1.51GB/s] model-00001-of-00002.safetensors: 92%|█████████▏| 9.20G/9.98G [00:08<00:00, 1.68GB/s] model-00001-of-00002.safetensors: 95%|█████████▍| 9.45G/9.98G [00:09<00:00, 1.90GB/s] model-00001-of-00002.safetensors: 98%|█████████▊| 9.76G/9.98G [00:09<00:00, 2.20GB/s] model-00001-of-00002.safetensors: 100%|█████████▉| 9.98G/9.98G [00:09<00:00, 1.06GB/s]
sanjiwatsuki-loyal-toppy-4295-v3-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<06:01, 12.4MB/s] model-00002-of-00002.safetensors: 0%| | 21.0M/4.51G [00:00<02:57, 25.2MB/s] model-00002-of-00002.safetensors: 1%| | 41.9M/4.51G [00:01<01:44, 42.8MB/s] model-00002-of-00002.safetensors: 1%| | 52.4M/4.51G [00:01<01:58, 37.7MB/s] model-00002-of-00002.safetensors: 2%|▏ | 73.4M/4.51G [00:01<01:21, 54.4MB/s] model-00002-of-00002.safetensors: 5%|▌ | 241M/4.51G [00:01<00:14, 286MB/s] model-00002-of-00002.safetensors: 15%|█▌ | 692M/4.51G [00:02<00:03, 1.00GB/s] model-00002-of-00002.safetensors: 24%|██▍ | 1.08G/4.51G [00:02<00:02, 1.53GB/s] model-00002-of-00002.safetensors: 29%|██▉ | 1.32G/4.51G [00:02<00:02, 1.09GB/s] model-00002-of-00002.safetensors: 34%|███▍ | 1.53G/4.51G [00:02<00:02, 1.20GB/s] model-00002-of-00002.safetensors: 39%|███▉ | 1.77G/4.51G [00:02<00:01, 1.40GB/s] model-00002-of-00002.safetensors: 47%|████▋ | 2.14G/4.51G [00:02<00:01, 1.85GB/s] model-00002-of-00002.safetensors: 54%|█████▎ | 2.41G/4.51G [00:02<00:01, 2.04GB/s] model-00002-of-00002.safetensors: 59%|█████▉ | 2.67G/4.51G [00:03<00:00, 2.17GB/s] model-00002-of-00002.safetensors: 65%|██████▌ | 2.94G/4.51G [00:03<00:00, 1.88GB/s] model-00002-of-00002.safetensors: 70%|███████ | 3.16G/4.51G [00:03<00:00, 1.49GB/s] model-00002-of-00002.safetensors: 74%|███████▍ | 3.34G/4.51G [00:03<00:00, 1.19GB/s] model-00002-of-00002.safetensors: 78%|███████▊ | 3.50G/4.51G [00:03<00:00, 1.02GB/s] model-00002-of-00002.safetensors: 81%|████████ | 3.64G/4.51G [00:04<00:00, 926MB/s] model-00002-of-00002.safetensors: 83%|████████▎ | 3.75G/4.51G [00:04<00:01, 674MB/s] model-00002-of-00002.safetensors: 85%|████████▌ | 3.85G/4.51G [00:04<00:00, 713MB/s] model-00002-of-00002.safetensors: 88%|████████▊ | 3.95G/4.51G [00:04<00:00, 769MB/s] model-00002-of-00002.safetensors: 90%|█████████ | 4.07G/4.51G [00:04<00:00, 826MB/s] model-00002-of-00002.safetensors: 93%|█████████▎| 4.19G/4.51G [00:04<00:00, 919MB/s] model-00002-of-00002.safetensors: 100%|█████████▉| 4.51G/4.51G [00:05<00:00, 898MB/s]
sanjiwatsuki-loyal-toppy-4295-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, 6.06MB/s]
sanjiwatsuki-loyal-toppy-4295-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, 4.26MB/s]
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 7.16MB/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 7.13MB/s]
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 2.27MB/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 2.26MB/s]
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: tokenizer_config.json: 0%| | 0.00/967 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 967/967 [00:00<00:00, 14.4MB/s]
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: toppy-bruins-maid.jpg: 0%| | 0.00/158k [00:00<?, ?B/s] toppy-bruins-maid.jpg: 100%|██████████| 158k/158k [00:00<00:00, 76.4MB/s]
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: Downloaded to shared memory in 19.258s
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: quantizing model to /dev/shm/model_cache
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: Saving mkml model at /dev/shm/model_cache
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: Reading /tmp/tmp8bmn6c30/model.safetensors.index.json
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:07, 1.27s/it] Profiling: 5%|▍ | 14/291 [00:01<00:20, 13.71it/s] Profiling: 11%|█ | 31/291 [00:01<00:07, 32.99it/s] Profiling: 16%|█▋ | 48/291 [00:01<00:04, 53.19it/s] Profiling: 21%|██▏ | 62/291 [00:01<00:03, 68.38it/s] Profiling: 26%|██▋ | 77/291 [00:01<00:02, 82.28it/s] Profiling: 32%|███▏ | 94/291 [00:01<00:01, 100.30it/s] Profiling: 38%|███▊ | 111/291 [00:02<00:01, 115.14it/s] Profiling: 43%|████▎ | 126/291 [00:02<00:01, 122.79it/s] Profiling: 48%|████▊ | 141/291 [00:02<00:01, 126.62it/s] Profiling: 54%|█████▍ | 158/291 [00:02<00:00, 136.48it/s] Profiling: 59%|█████▉ | 173/291 [00:02<00:00, 138.96it/s] Profiling: 65%|██████▍ | 188/291 [00:02<00:00, 138.61it/s] Profiling: 70%|██████▉ | 203/291 [00:04<00:03, 23.18it/s] Profiling: 76%|███████▌ | 220/291 [00:04<00:02, 31.98it/s] Profiling: 80%|███████▉ | 232/291 [00:04<00:01, 39.02it/s] Profiling: 85%|████████▌ | 248/291 [00:04<00:00, 50.98it/s] Profiling: 91%|█████████ | 265/291 [00:04<00:00, 65.19it/s] Profiling: 96%|█████████▌| 279/291 [00:05<00:00, 75.86it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 54.64it/s]
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: quantized model in 17.558s
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: Processed model SanjiWatsuki/Loyal-Toppy-Bruins-Maid-7B-DARE in 37.809s
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: creating bucket guanaco-mkml-models
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sanjiwatsuki-loyal-toppy-4295-v3
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sanjiwatsuki-loyal-toppy-4295-v3/config.json
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sanjiwatsuki-loyal-toppy-4295-v3/special_tokens_map.json
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sanjiwatsuki-loyal-toppy-4295-v3/tokenizer_config.json
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/sanjiwatsuki-loyal-toppy-4295-v3/tokenizer.model
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sanjiwatsuki-loyal-toppy-4295-v3/tokenizer.json
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/sanjiwatsuki-loyal-toppy-4295-v3/mkml_model.tensors
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
sanjiwatsuki-loyal-toppy-4295-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.
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: warnings.warn(
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 11.7MB/s]
sanjiwatsuki-loyal-toppy-4295-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.
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: warnings.warn(
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.55MB/s]
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 4.41MB/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 4.40MB/s]
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 24.9MB/s]
sanjiwatsuki-loyal-toppy-4295-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.
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: warnings.warn(
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<01:56, 12.3MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:56, 25.0MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:01<00:28, 49.6MB/s] pytorch_model.bin: 4%|▎ | 52.4M/1.44G [00:01<00:48, 28.7MB/s] pytorch_model.bin: 9%|▉ | 136M/1.44G [00:01<00:11, 115MB/s] pytorch_model.bin: 12%|█▏ | 178M/1.44G [00:02<00:08, 152MB/s] pytorch_model.bin: 26%|██▌ | 377M/1.44G [00:02<00:02, 439MB/s] pytorch_model.bin: 50%|█████ | 724M/1.44G [00:02<00:00, 988MB/s] pytorch_model.bin: 76%|███████▌ | 1.10G/1.44G [00:02<00:00, 1.50GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:02<00:00, 571MB/s]
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: Saving duration: 0.311s
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 7.871s
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: creating bucket guanaco-reward-models
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/sanjiwatsuki-loyal-toppy-4295-v3_reward
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/sanjiwatsuki-loyal-toppy-4295-v3_reward/special_tokens_map.json
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/sanjiwatsuki-loyal-toppy-4295-v3_reward/tokenizer_config.json
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/sanjiwatsuki-loyal-toppy-4295-v3_reward/config.json
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/sanjiwatsuki-loyal-toppy-4295-v3_reward/merges.txt
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/sanjiwatsuki-loyal-toppy-4295-v3_reward/vocab.json
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/sanjiwatsuki-loyal-toppy-4295-v3_reward/tokenizer.json
sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/sanjiwatsuki-loyal-toppy-4295-v3_reward/reward.tensors
Job sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer completed after 75.46s with status: succeeded
Stopping job with name sanjiwatsuki-loyal-toppy-4295-v3-mkmlizer
Pipeline stage MKMLizer completed in 78.39s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service sanjiwatsuki-loyal-toppy-4295-v3
Waiting for inference service sanjiwatsuki-loyal-toppy-4295-v3 to be ready
Inference service sanjiwatsuki-loyal-toppy-4295-v3 ready after 30.167473793029785s
Pipeline stage ISVCDeployer completed in 36.95s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7918906211853027s
Received healthy response to inference request in 1.2964792251586914s
Received healthy response to inference request in 1.2378039360046387s
Received healthy response to inference request in 1.2532613277435303s
Received healthy response to inference request in 1.2146310806274414s
5 requests
0 failed requests
5th percentile: 1.2192656517028808
10th percentile: 1.2239002227783202
20th percentile: 1.2331693649291993
30th percentile: 1.240895414352417
40th percentile: 1.2470783710479736
50th percentile: 1.2532613277435303
60th percentile: 1.2705484867095946
70th percentile: 1.2878356456756592
80th percentile: 1.3955615043640137
90th percentile: 1.5937260627746583
95th percentile: 1.6928083419799804
99th percentile: 1.7720741653442382
mean time: 1.3588132381439209
Pipeline stage StressChecker completed in 7.81s
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
sanjiwatsuki-loyal-toppy_4295_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of sanjiwatsuki-loyal-toppy_4295_v3
Running pipeline stage ISVCDeleter
Checking if service sanjiwatsuki-loyal-toppy-4295-v3 is running
Tearing down inference service sanjiwatsuki-loyal-toppy-4295-v3
Toredown service sanjiwatsuki-loyal-toppy-4295-v3
Pipeline stage ISVCDeleter completed in 2.92s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key sanjiwatsuki-loyal-toppy-4295-v3/config.json from bucket guanaco-mkml-models
Deleting key sanjiwatsuki-loyal-toppy-4295-v3/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key sanjiwatsuki-loyal-toppy-4295-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key sanjiwatsuki-loyal-toppy-4295-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key sanjiwatsuki-loyal-toppy-4295-v3/tokenizer.model from bucket guanaco-mkml-models
Deleting key sanjiwatsuki-loyal-toppy-4295-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key sanjiwatsuki-loyal-toppy-4295-v3_reward/config.json from bucket guanaco-reward-models
Deleting key sanjiwatsuki-loyal-toppy-4295-v3_reward/merges.txt from bucket guanaco-reward-models
Deleting key sanjiwatsuki-loyal-toppy-4295-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key sanjiwatsuki-loyal-toppy-4295-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key sanjiwatsuki-loyal-toppy-4295-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key sanjiwatsuki-loyal-toppy-4295-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key sanjiwatsuki-loyal-toppy-4295-v3_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.66s
sanjiwatsuki-loyal-toppy_4295_v3 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics