submission_id: sanjiwatsuki-kunoichi-7b_v1
developer_uid: chaiwill
status: inactive
model_repo: SanjiWatsuki/Kunoichi-7B
reward_repo: ChaiML/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'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
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}:'}
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}:'}
timestamp: 2024-03-16T15:20:04+00:00
model_name: sanjiwatsuki-kunoichi-7b_v1
model_eval_status: success
safety_score: 0.99
entertaining: 6.98
stay_in_character: 8.58
user_preference: 7.64
double_thumbs_up: 1390
thumbs_up: 2279
thumbs_down: 934
num_battles: 112287
num_wins: 59236
win_ratio: 0.5275410332451664
celo_rating: 1177.15
Resubmit model
Running pipeline stage MKMLizer
Starting job with name sanjiwatsuki-kunoichi-7b-v1-mkmlizer
Waiting for job on sanjiwatsuki-kunoichi-7b-v1-mkmlizer to finish
Stopping job with name sanjiwatsuki-kunoichi-7b-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name sanjiwatsuki-kunoichi-7b-v1-mkmlizer
Waiting for job on sanjiwatsuki-kunoichi-7b-v1-mkmlizer to finish
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: ║ _____ __ __ ║
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: ║ /___/ ║
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: ║ ║
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: ║ Version: 0.6.11 ║
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: ║ ║
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: ║ The license key for the current software has been verified as ║
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: ║ belonging to: ║
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: ║ ║
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: ║ Chai Research Corp. ║
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: ║ ║
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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sanjiwatsuki-kunoichi-7b-v1-mkmlizer: Downloaded to shared memory in 25.891s
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: quantizing model to /dev/shm/model_cache
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: Reading /tmp/tmpu3v5mutv/model.safetensors.index.json
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:03, 1.25s/it] Profiling: 5%|▍ | 14/291 [00:01<00:19, 13.85it/s] Profiling: 11%|█ | 31/291 [00:01<00:07, 33.16it/s] Profiling: 16%|█▋ | 48/291 [00:01<00:04, 52.85it/s] Profiling: 21%|██▏ | 62/291 [00:01<00:03, 67.68it/s] Profiling: 26%|██▋ | 77/291 [00:01<00:02, 81.77it/s] Profiling: 32%|███▏ | 94/291 [00:01<00:01, 99.85it/s] Profiling: 38%|███▊ | 111/291 [00:02<00:01, 114.78it/s] Profiling: 43%|████▎ | 126/291 [00:02<00:01, 122.01it/s] Profiling: 48%|████▊ | 141/291 [00:02<00:01, 125.24it/s] Profiling: 54%|█████▍ | 157/291 [00:02<00:01, 133.21it/s] Profiling: 60%|█████▉ | 174/291 [00:02<00:00, 141.52it/s] Profiling: 65%|██████▌ | 190/291 [00:02<00:00, 144.05it/s] Profiling: 71%|███████ | 206/291 [00:04<00:03, 26.44it/s] Profiling: 76%|███████▌ | 221/291 [00:04<00:02, 34.62it/s] Profiling: 82%|████████▏ | 238/291 [00:04<00:01, 46.18it/s] Profiling: 87%|████████▋ | 253/291 [00:04<00:00, 57.34it/s] Profiling: 92%|█████████▏| 267/291 [00:04<00:00, 67.98it/s] Profiling: 98%|█████████▊| 284/291 [00:04<00:00, 83.85it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 57.83it/s]
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: quantized model in 16.774s
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: Processed model SanjiWatsuki/Kunoichi-7B in 43.499s
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: creating bucket guanaco-mkml-models
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v1
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v1/config.json
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v1/tokenizer_config.json
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v1/special_tokens_map.json
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v1/tokenizer.model
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v1/tokenizer.json
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v1/mkml_model.tensors
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
sanjiwatsuki-kunoichi-7b-v1-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-v1-mkmlizer: warnings.warn(
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 12.6MB/s]
sanjiwatsuki-kunoichi-7b-v1-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-v1-mkmlizer: warnings.warn(
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sanjiwatsuki-kunoichi-7b-v1-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 4.37MB/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 4.37MB/s]
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 17.6MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 17.5MB/s]
sanjiwatsuki-kunoichi-7b-v1-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-v1-mkmlizer: warnings.warn(
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<02:01, 11.8MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:01<00:59, 24.1MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:01<00:29, 46.9MB/s] pytorch_model.bin: 4%|▍ | 62.9M/1.44G [00:01<00:20, 68.4MB/s] pytorch_model.bin: 7%|▋ | 105M/1.44G [00:01<00:17, 76.6MB/s] pytorch_model.bin: 10%|█ | 147M/1.44G [00:01<00:11, 116MB/s] pytorch_model.bin: 12%|█▏ | 168M/1.44G [00:02<00:10, 123MB/s] pytorch_model.bin: 23%|██▎ | 336M/1.44G [00:02<00:02, 386MB/s] pytorch_model.bin: 67%|██████▋ | 965M/1.44G [00:02<00:00, 1.53GB/s] pytorch_model.bin: 83%|████████▎ | 1.21G/1.44G [00:02<00:00, 1.71GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:02<00:00, 1.59GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:02<00:00, 552MB/s]
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: Saving duration: 0.280s
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.842s
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: creating bucket guanaco-reward-models
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v1_reward
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v1_reward/config.json
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v1_reward/special_tokens_map.json
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v1_reward/tokenizer_config.json
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v1_reward/merges.txt
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v1_reward/vocab.json
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v1_reward/tokenizer.json
sanjiwatsuki-kunoichi-7b-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v1_reward/reward.tensors
Job sanjiwatsuki-kunoichi-7b-v1-mkmlizer completed after 128.22s with status: succeeded
Stopping job with name sanjiwatsuki-kunoichi-7b-v1-mkmlizer
Pipeline stage MKMLizer completed in 132.73s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service sanjiwatsuki-kunoichi-7b-v1
Waiting for inference service sanjiwatsuki-kunoichi-7b-v1 to be ready
Inference service sanjiwatsuki-kunoichi-7b-v1 ready after 40.266287088394165s
Pipeline stage ISVCDeployer completed in 47.60s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.655611515045166s
Received healthy response to inference request in 1.1781351566314697s
Received healthy response to inference request in 1.127593755722046s
Received healthy response to inference request in 1.0117881298065186s
Received healthy response to inference request in 1.1911861896514893s
5 requests
0 failed requests
5th percentile: 1.034949254989624
10th percentile: 1.0581103801727294
20th percentile: 1.1044326305389405
30th percentile: 1.1377020359039307
40th percentile: 1.1579185962677
50th percentile: 1.1781351566314697
60th percentile: 1.1833555698394775
70th percentile: 1.1885759830474854
80th percentile: 1.2840712547302247
90th percentile: 1.4698413848876954
95th percentile: 1.5627264499664306
99th percentile: 1.637034502029419
mean time: 1.232862949371338
Pipeline stage StressChecker completed in 7.01s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.05s
Running M-Eval for topic stay_in_character
M-Eval Dataset for topic stay_in_character is loaded
sanjiwatsuki-kunoichi-7b_v1 status is now inactive due to auto deactivation removed underperforming models

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