submission_id: sanjiwatsuki-kunoichi-7b_v2
developer_uid: zonemercy
status: inactive
model_repo: SanjiWatsuki/Kunoichi-7B
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, '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': 'Role-play as {bot_name} based on the Persona: {memory}. Engage user with detailed, creative messages that invite further discussion. Stay in character, keep responses moderately sized for an energetic exchange.', 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:'}
timestamp: 2024-03-22T06:21:28+00:00
model_name: sanjiwatsuki-kunoichi-7b_v2
model_eval_status: success
safety_score: 0.99
entertaining: 6.98
stay_in_character: 8.69
user_preference: 7.56
double_thumbs_up: 1091
thumbs_up: 1626
thumbs_down: 684
num_battles: 112242
num_wins: 58677
win_ratio: 0.5227722243010637
celo_rating: 1173.87
Resubmit model
Running pipeline stage MKMLizer
Starting job with name sanjiwatsuki-kunoichi-7b-v2-mkmlizer
Waiting for job on sanjiwatsuki-kunoichi-7b-v2-mkmlizer to finish
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: ║ _____ __ __ ║
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: ║ /___/ ║
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: ║ ║
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: ║ Version: 0.6.11 ║
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: ║ ║
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: ║ The license key for the current software has been verified as ║
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: ║ belonging to: ║
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: ║ ║
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: ║ Chai Research Corp. ║
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: ║ ║
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 19.1MB/s]
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: README.md: 0%| | 0.00/4.71k [00:00<?, ?B/s] README.md: 100%|██████████| 4.71k/4.71k [00:00<00:00, 55.4MB/s]
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: assets/asset: 0.00B [00:00, ?B/s] assets/asset: 0.00B [00:00, ?B/s]
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: assets/kunoichi.png: 0%| | 0.00/704k [00:00<?, ?B/s] assets/kunoichi.png: 100%|██████████| 704k/704k [00:00<00:00, 32.9MB/s]
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: config.json: 0%| | 0.00/674 [00:00<?, ?B/s] config.json: 100%|██████████| 674/674 [00:00<00:00, 6.13MB/s]
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: model-00001-of-00002.safetensors: 0%| | 0.00/9.86G [00:00<?, ?B/s] model-00001-of-00002.safetensors: 0%| | 10.5M/9.86G [00:00<05:07, 32.1MB/s] model-00001-of-00002.safetensors: 1%| | 73.4M/9.86G [00:00<00:46, 211MB/s] model-00001-of-00002.safetensors: 1%|▏ | 136M/9.86G [00:00<00:29, 334MB/s] model-00001-of-00002.safetensors: 3%|▎ | 252M/9.86G [00:00<00:16, 574MB/s] model-00001-of-00002.safetensors: 3%|▎ | 325M/9.86G [00:00<00:17, 554MB/s] model-00001-of-00002.safetensors: 4%|▍ | 398M/9.86G [00:00<00:16, 573MB/s] model-00001-of-00002.safetensors: 5%|▍ | 493M/9.86G [00:01<00:14, 648MB/s] model-00001-of-00002.safetensors: 6%|▌ | 566M/9.86G [00:01<00:15, 604MB/s] model-00001-of-00002.safetensors: 6%|▋ | 640M/9.86G [00:01<00:16, 556MB/s] model-00001-of-00002.safetensors: 7%|▋ | 703M/9.86G [00:01<00:16, 570MB/s] model-00001-of-00002.safetensors: 8%|▊ | 765M/9.86G [00:01<00:17, 523MB/s] model-00001-of-00002.safetensors: 8%|▊ | 828M/9.86G [00:01<00:17, 513MB/s] model-00001-of-00002.safetensors: 9%|▉ | 891M/9.86G [00:01<00:16, 538MB/s] model-00001-of-00002.safetensors: 10%|▉ | 986M/9.86G [00:01<00:15, 585MB/s] model-00001-of-00002.safetensors: 11%|█ | 1.09G/9.86G [00:02<00:12, 686MB/s] model-00001-of-00002.safetensors: 12%|█▏ | 1.22G/9.86G [00:02<00:10, 819MB/s] model-00001-of-00002.safetensors: 15%|█▍ | 1.46G/9.86G [00:02<00:07, 1.16GB/s] model-00001-of-00002.safetensors: 16%|█▌ | 1.58G/9.86G [00:02<00:08, 965MB/s] model-00001-of-00002.safetensors: 19%|█▉ | 1.90G/9.86G [00:02<00:05, 1.47GB/s] model-00001-of-00002.safetensors: 22%|██▏ | 2.16G/9.86G [00:02<00:04, 1.74GB/s] model-00001-of-00002.safetensors: 26%|██▌ | 2.54G/9.86G [00:02<00:03, 2.25GB/s] model-00001-of-00002.safetensors: 28%|██▊ | 2.79G/9.86G [00:02<00:03, 1.81GB/s] model-00001-of-00002.safetensors: 30%|███ | 3.00G/9.86G [00:03<00:03, 1.85GB/s] model-00001-of-00002.safetensors: 33%|███▎ | 3.21G/9.86G [00:03<00:03, 1.71GB/s] model-00001-of-00002.safetensors: 35%|███▍ | 3.42G/9.86G [00:03<00:03, 1.80GB/s] model-00001-of-00002.safetensors: 37%|███▋ | 3.64G/9.86G [00:03<00:03, 1.90GB/s] model-00001-of-00002.safetensors: 39%|███▉ | 3.85G/9.86G [00:03<00:03, 1.77GB/s] model-00001-of-00002.safetensors: 41%|████ | 4.04G/9.86G [00:03<00:03, 1.71GB/s] model-00001-of-00002.safetensors: 44%|████▍ | 4.34G/9.86G [00:03<00:02, 2.04GB/s] model-00001-of-00002.safetensors: 48%|████▊ | 4.73G/9.86G [00:03<00:02, 2.47GB/s] model-00001-of-00002.safetensors: 51%|█████ | 4.99G/9.86G [00:04<00:02, 2.33GB/s] model-00001-of-00002.safetensors: 53%|█████▎ | 5.23G/9.86G [00:04<00:02, 2.30GB/s] model-00001-of-00002.safetensors: 56%|█████▌ | 5.47G/9.86G [00:04<00:02, 2.07GB/s] model-00001-of-00002.safetensors: 58%|█████▊ | 5.71G/9.86G [00:04<00:02, 2.03GB/s] model-00001-of-00002.safetensors: 60%|██████ | 5.92G/9.86G [00:04<00:01, 2.01GB/s] model-00001-of-00002.safetensors: 63%|██████▎ | 6.20G/9.86G [00:04<00:01, 2.19GB/s] model-00001-of-00002.safetensors: 65%|██████▌ | 6.43G/9.86G [00:04<00:01, 2.11GB/s] model-00001-of-00002.safetensors: 67%|██████▋ | 6.65G/9.86G [00:04<00:01, 1.67GB/s] model-00001-of-00002.safetensors: 70%|██████▉ | 6.87G/9.86G [00:05<00:01, 1.74GB/s] model-00001-of-00002.safetensors: 72%|███████▏ | 7.13G/9.86G [00:05<00:01, 1.95GB/s] model-00001-of-00002.safetensors: 75%|███████▌ | 7.43G/9.86G [00:05<00:01, 2.22GB/s] model-00001-of-00002.safetensors: 79%|███████▉ | 7.77G/9.86G [00:05<00:00, 2.52GB/s] model-00001-of-00002.safetensors: 82%|████████▏ | 8.07G/9.86G [00:05<00:00, 2.65GB/s] model-00001-of-00002.safetensors: 85%|████████▍ | 8.36G/9.86G [00:05<00:00, 2.30GB/s] model-00001-of-00002.safetensors: 87%|████████▋ | 8.61G/9.86G [00:05<00:00, 2.20GB/s] model-00001-of-00002.safetensors: 90%|█████████ | 8.90G/9.86G [00:05<00:00, 2.33GB/s] model-00001-of-00002.safetensors: 93%|█████████▎| 9.16G/9.86G [00:05<00:00, 2.33GB/s] model-00001-of-00002.safetensors: 97%|█████████▋| 9.56G/9.86G [00:06<00:00, 2.77GB/s] model-00001-of-00002.safetensors: 100%|█████████▉| 9.85G/9.86G [00:06<00:00, 1.84GB/s] model-00001-of-00002.safetensors: 100%|█████████▉| 9.86G/9.86G [00:06<00:00, 1.44GB/s]
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: model-00002-of-00002.safetensors: 0%| | 0.00/4.62G [00:00<?, ?B/s] model-00002-of-00002.safetensors: 0%| | 10.5M/4.62G [00:00<02:26, 31.4MB/s] model-00002-of-00002.safetensors: 3%|▎ | 147M/4.62G [00:00<00:10, 428MB/s] model-00002-of-00002.safetensors: 5%|▍ | 231M/4.62G [00:00<00:08, 546MB/s] model-00002-of-00002.safetensors: 10%|▉ | 440M/4.62G [00:00<00:04, 977MB/s] model-00002-of-00002.safetensors: 12%|█▏ | 566M/4.62G [00:00<00:04, 851MB/s] model-00002-of-00002.safetensors: 15%|█▍ | 671M/4.62G [00:00<00:04, 808MB/s] model-00002-of-00002.safetensors: 17%|█▋ | 765M/4.62G [00:01<00:05, 694MB/s] model-00002-of-00002.safetensors: 18%|█▊ | 849M/4.62G [00:01<00:06, 601MB/s] model-00002-of-00002.safetensors: 20%|██ | 933M/4.62G [00:01<00:06, 587MB/s] model-00002-of-00002.safetensors: 22%|██▏ | 1.02G/4.62G [00:01<00:05, 611MB/s] model-00002-of-00002.safetensors: 24%|██▎ | 1.09G/4.62G [00:01<00:05, 627MB/s] model-00002-of-00002.safetensors: 25%|██▌ | 1.17G/4.62G [00:01<00:05, 644MB/s] model-00002-of-00002.safetensors: 27%|██▋ | 1.25G/4.62G [00:01<00:05, 648MB/s] model-00002-of-00002.safetensors: 29%|██▊ | 1.32G/4.62G [00:02<00:04, 670MB/s] model-00002-of-00002.safetensors: 31%|███▏ | 1.45G/4.62G [00:02<00:03, 825MB/s] model-00002-of-00002.safetensors: 35%|███▌ | 1.64G/4.62G [00:02<00:03, 842MB/s] model-00002-of-00002.safetensors: 37%|███▋ | 1.73G/4.62G [00:02<00:03, 773MB/s] model-00002-of-00002.safetensors: 43%|████▎ | 1.99G/4.62G [00:02<00:02, 1.18GB/s] model-00002-of-00002.safetensors: 49%|████▉ | 2.28G/4.62G [00:02<00:01, 1.55GB/s] model-00002-of-00002.safetensors: 59%|█████▉ | 2.75G/4.62G [00:02<00:00, 2.34GB/s] model-00002-of-00002.safetensors: 66%|██████▌ | 3.06G/4.62G [00:02<00:00, 2.54GB/s] model-00002-of-00002.safetensors: 72%|███████▏ | 3.33G/4.62G [00:03<00:00, 2.37GB/s] model-00002-of-00002.safetensors: 78%|███████▊ | 3.60G/4.62G [00:03<00:00, 2.10GB/s] model-00002-of-00002.safetensors: 84%|████████▍ | 3.88G/4.62G [00:03<00:00, 2.28GB/s] model-00002-of-00002.safetensors: 89%|████████▉ | 4.13G/4.62G [00:03<00:00, 2.06GB/s] model-00002-of-00002.safetensors: 94%|█████████▍| 4.35G/4.62G [00:03<00:00, 2.03GB/s] model-00002-of-00002.safetensors: 99%|█████████▉| 4.57G/4.62G [00:03<00:00, 1.91GB/s] model-00002-of-00002.safetensors: 100%|█████████▉| 4.62G/4.62G [00:03<00:00, 1.21GB/s]
sanjiwatsuki-kunoichi-7b-v2-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, 154MB/s]
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: special_tokens_map.json: 0%| | 0.00/414 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 414/414 [00:00<00:00, 3.42MB/s]
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 15.7MB/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 15.6MB/s]
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 24.8MB/s]
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: tokenizer_config.json: 0%| | 0.00/967 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 967/967 [00:00<00:00, 13.2MB/s]
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: Downloaded to shared memory in 12.986s
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: quantizing model to /dev/shm/model_cache
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: Reading /tmp/tmpe2rmti76/model.safetensors.index.json
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:14, 1.29s/it] Profiling: 7%|▋ | 21/291 [00:01<00:13, 20.43it/s] Profiling: 14%|█▎ | 40/291 [00:01<00:06, 41.24it/s] Profiling: 21%|██ | 60/291 [00:01<00:03, 64.84it/s] Profiling: 29%|██▉ | 84/291 [00:01<00:02, 94.08it/s] Profiling: 36%|███▌ | 104/291 [00:01<00:01, 112.82it/s] Profiling: 44%|████▍ | 129/291 [00:01<00:01, 140.69it/s] Profiling: 52%|█████▏ | 150/291 [00:02<00:00, 153.44it/s] Profiling: 60%|█████▉ | 174/291 [00:02<00:00, 172.34it/s] Profiling: 67%|██████▋ | 195/291 [00:02<00:00, 176.33it/s] Profiling: 74%|███████▍ | 216/291 [00:03<00:02, 35.45it/s] Profiling: 82%|████████▏ | 239/291 [00:04<00:01, 48.18it/s] Profiling: 89%|████████▉ | 259/291 [00:04<00:00, 61.36it/s] Profiling: 97%|█████████▋| 283/291 [00:04<00:00, 80.43it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 64.59it/s]
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: quantized model in 14.185s
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: Processed model SanjiWatsuki/Kunoichi-7B in 28.048s
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: creating bucket guanaco-mkml-models
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v2
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v2/tokenizer.model
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v2/special_tokens_map.json
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v2/tokenizer_config.json
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v2/config.json
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v2/tokenizer.json
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v2/mkml_model.tensors
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
sanjiwatsuki-kunoichi-7b-v2-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-kunoichi-7b-v2-mkmlizer: warnings.warn(
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 12.2MB/s]
sanjiwatsuki-kunoichi-7b-v2-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-kunoichi-7b-v2-mkmlizer: warnings.warn(
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 3.09MB/s]
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 31.6MB/s]
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 35.9MB/s]
sanjiwatsuki-kunoichi-7b-v2-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-kunoichi-7b-v2-mkmlizer: warnings.warn(
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:07, 191MB/s] pytorch_model.bin: 7%|▋ | 94.4M/1.44G [00:00<00:02, 469MB/s] pytorch_model.bin: 10%|█ | 147M/1.44G [00:00<00:02, 465MB/s] pytorch_model.bin: 14%|█▍ | 199M/1.44G [00:00<00:02, 480MB/s] pytorch_model.bin: 19%|█▉ | 273M/1.44G [00:00<00:02, 524MB/s] pytorch_model.bin: 24%|██▍ | 346M/1.44G [00:00<00:02, 521MB/s] pytorch_model.bin: 33%|███▎ | 472M/1.44G [00:00<00:01, 702MB/s] pytorch_model.bin: 50%|█████ | 724M/1.44G [00:00<00:00, 1.21GB/s] pytorch_model.bin: 81%|████████▏ | 1.17G/1.44G [00:01<00:00, 2.14GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:05<00:00, 282MB/s]
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: Saving duration: 0.237s
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 8.571s
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: creating bucket guanaco-reward-models
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v2_reward
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v2_reward/special_tokens_map.json
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v2_reward/tokenizer_config.json
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v2_reward/config.json
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v2_reward/merges.txt
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v2_reward/vocab.json
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v2_reward/tokenizer.json
sanjiwatsuki-kunoichi-7b-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v2_reward/reward.tensors
Job sanjiwatsuki-kunoichi-7b-v2-mkmlizer completed after 64.58s with status: succeeded
Stopping job with name sanjiwatsuki-kunoichi-7b-v2-mkmlizer
Pipeline stage MKMLizer completed in 67.76s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service sanjiwatsuki-kunoichi-7b-v2
Waiting for inference service sanjiwatsuki-kunoichi-7b-v2 to be ready
Inference service sanjiwatsuki-kunoichi-7b-v2 ready after 40.25785851478577s
Pipeline stage ISVCDeployer completed in 47.00s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.6924479007720947s
Received healthy response to inference request in 1.1720852851867676s
Received healthy response to inference request in 1.1880462169647217s
Received healthy response to inference request in 1.1966803073883057s
Received healthy response to inference request in 1.1939160823822021s
5 requests
0 failed requests
5th percentile: 1.1752774715423584
10th percentile: 1.1784696578979492
20th percentile: 1.1848540306091309
30th percentile: 1.1892201900482178
40th percentile: 1.19156813621521
50th percentile: 1.1939160823822021
60th percentile: 1.1950217723846435
70th percentile: 1.196127462387085
80th percentile: 1.2958338260650635
90th percentile: 1.494140863418579
95th percentile: 1.593294382095337
99th percentile: 1.6726171970367432
mean time: 1.2886351585388183
Pipeline stage StressChecker completed in 7.36s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.06s
Running M-Eval for topic stay_in_character
M-Eval Dataset for topic stay_in_character is loaded
sanjiwatsuki-kunoichi-7b_v2 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics