submission_id: sao10k-fimbulvetr-11b-v2_v2
developer_uid: sao10k
status: inactive
model_repo: Sao10K/Fimbulvetr-11B-v2
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.12, 'top_p': 0.88, 'top_k': 30, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 4, '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: 2024-03-27T16:14:25+00:00
model_name: sao10k-fimbulvetr-11b-v2_v2
model_eval_status: success
safety_score: 0.81
entertaining: 6.72
stay_in_character: 8.71
user_preference: 7.32
double_thumbs_up: 285
thumbs_up: 428
thumbs_down: 212
num_battles: 67397
num_wins: 33218
win_ratio: 0.4928706025490749
celo_rating: 1152.43
Resubmit model
Running pipeline stage MKMLizer
Starting job with name sao10k-fimbulvetr-11b-v2-v2-mkmlizer
Waiting for job on sao10k-fimbulvetr-11b-v2-v2-mkmlizer to finish
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: ║ _____ __ __ ║
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: ║ /___/ ║
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: ║ ║
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: ║ Version: 0.6.11 ║
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: ║ ║
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: ║ The license key for the current software has been verified as ║
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: ║ belonging to: ║
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: ║ ║
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: ║ Chai Research Corp. ║
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: ║ ║
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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sao10k-fimbulvetr-11b-v2-v2-mkmlizer: Downloaded to shared memory in 37.219s
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sao10k-fimbulvetr-11b-v2-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: Reading /tmp/tmpv4qku9_p/model.safetensors.index.json
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: Profiling: 0%| | 0/435 [00:00<?, ?it/s] Profiling: 0%| | 1/435 [00:01<13:14, 1.83s/it] Profiling: 3%|▎ | 13/435 [00:01<00:46, 9.12it/s] Profiling: 6%|▋ | 28/435 [00:02<00:18, 21.92it/s] Profiling: 10%|█ | 45/435 [00:02<00:10, 38.58it/s] Profiling: 14%|█▎ | 59/435 [00:02<00:07, 52.54it/s] Profiling: 17%|█▋ | 73/435 [00:02<00:05, 66.96it/s] Profiling: 21%|██ | 90/435 [00:02<00:04, 84.87it/s] Profiling: 24%|██▍ | 104/435 [00:02<00:05, 57.26it/s] Profiling: 28%|██▊ | 120/435 [00:03<00:04, 71.87it/s] Profiling: 30%|███ | 132/435 [00:03<00:03, 78.43it/s] Profiling: 34%|███▍ | 148/435 [00:03<00:03, 92.25it/s] Profiling: 38%|███▊ | 165/435 [00:03<00:02, 104.50it/s] Profiling: 41%|████ | 178/435 [00:03<00:02, 103.33it/s] Profiling: 44%|████▍ | 192/435 [00:03<00:02, 108.10it/s] Profiling: 47%|████▋ | 205/435 [00:04<00:03, 62.23it/s] Profiling: 49%|████▉ | 215/435 [00:04<00:03, 67.34it/s] Profiling: 52%|█████▏ | 228/435 [00:04<00:02, 78.49it/s] Profiling: 55%|█████▍ | 239/435 [00:04<00:02, 83.44it/s] Profiling: 59%|█████▉ | 256/435 [00:04<00:01, 99.33it/s] Profiling: 63%|██████▎ | 273/435 [00:04<00:01, 113.12it/s] Profiling: 66%|██████▌ | 286/435 [00:04<00:01, 116.58it/s] Profiling: 69%|██████▊ | 299/435 [00:04<00:01, 117.44it/s] Profiling: 72%|███████▏ | 312/435 [00:05<00:01, 63.85it/s] Profiling: 75%|███████▌ | 327/435 [00:05<00:01, 77.03it/s] Profiling: 78%|███████▊ | 338/435 [00:05<00:01, 81.23it/s] Profiling: 81%|████████▏ | 354/435 [00:05<00:00, 97.34it/s] Profiling: 84%|████████▍ | 367/435 [00:05<00:00, 104.61it/s] Profiling: 88%|████████▊ | 381/435 [00:05<00:00, 112.47it/s] Profiling: 91%|█████████ | 394/435 [00:05<00:00, 111.52it/s] Profiling: 94%|█████████▎| 407/435 [00:07<00:01, 21.29it/s] Profiling: 96%|█████████▋| 419/435 [00:07<00:00, 27.57it/s] Profiling: 99%|█████████▉| 432/435 [00:07<00:00, 36.08it/s] Profiling: 100%|██████████| 435/435 [00:08<00:00, 54.30it/s]
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: quantized model in 24.955s
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: Processed model Sao10K/Fimbulvetr-11B-v2 in 63.921s
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: creating bucket guanaco-mkml-models
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-fimbulvetr-11b-v2-v2
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-fimbulvetr-11b-v2-v2/config.json
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-fimbulvetr-11b-v2-v2/tokenizer_config.json
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-fimbulvetr-11b-v2-v2/special_tokens_map.json
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/sao10k-fimbulvetr-11b-v2-v2/tokenizer.model
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-fimbulvetr-11b-v2-v2/tokenizer.json
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/sao10k-fimbulvetr-11b-v2-v2/mkml_model.tensors
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
sao10k-fimbulvetr-11b-v2-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.
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: warnings.warn(
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 10.5MB/s]
sao10k-fimbulvetr-11b-v2-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.
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: warnings.warn(
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.11MB/s]
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 12.4MB/s]
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sao10k-fimbulvetr-11b-v2-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.
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: warnings.warn(
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:06, 209MB/s] pytorch_model.bin: 7%|▋ | 105M/1.44G [00:00<00:02, 513MB/s] pytorch_model.bin: 13%|█▎ | 189M/1.44G [00:00<00:02, 577MB/s] pytorch_model.bin: 20%|█▉ | 283M/1.44G [00:00<00:01, 705MB/s] pytorch_model.bin: 25%|██▍ | 357M/1.44G [00:00<00:01, 691MB/s] pytorch_model.bin: 36%|███▋ | 524M/1.44G [00:00<00:00, 936MB/s] pytorch_model.bin: 43%|████▎ | 619M/1.44G [00:00<00:01, 663MB/s] pytorch_model.bin: 51%|█████ | 732M/1.44G [00:01<00:00, 770MB/s] pytorch_model.bin: 66%|██████▌ | 952M/1.44G [00:01<00:00, 1.11GB/s] pytorch_model.bin: 94%|█████████▍| 1.36G/1.44G [00:01<00:00, 1.88GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.12GB/s]
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: Saving duration: 0.315s
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.307s
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: creating bucket guanaco-reward-models
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/sao10k-fimbulvetr-11b-v2-v2_reward
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/sao10k-fimbulvetr-11b-v2-v2_reward/config.json
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/sao10k-fimbulvetr-11b-v2-v2_reward/special_tokens_map.json
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/sao10k-fimbulvetr-11b-v2-v2_reward/tokenizer_config.json
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/sao10k-fimbulvetr-11b-v2-v2_reward/tokenizer.json
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/sao10k-fimbulvetr-11b-v2-v2_reward/merges.txt
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/sao10k-fimbulvetr-11b-v2-v2_reward/vocab.json
sao10k-fimbulvetr-11b-v2-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/sao10k-fimbulvetr-11b-v2-v2_reward/reward.tensors
Job sao10k-fimbulvetr-11b-v2-v2-mkmlizer completed after 96.58s with status: succeeded
Stopping job with name sao10k-fimbulvetr-11b-v2-v2-mkmlizer
Pipeline stage MKMLizer completed in 101.44s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service sao10k-fimbulvetr-11b-v2-v2
Waiting for inference service sao10k-fimbulvetr-11b-v2-v2 to be ready
Inference service sao10k-fimbulvetr-11b-v2-v2 ready after 50.633686780929565s
Pipeline stage ISVCDeployer completed in 58.16s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1760058403015137s
Received healthy response to inference request in 1.6332004070281982s
Received healthy response to inference request in 1.6539850234985352s
Received healthy response to inference request in 1.6365559101104736s
Received healthy response to inference request in 1.6343140602111816s
5 requests
0 failed requests
5th percentile: 1.633423137664795
10th percentile: 1.6336458683013917
20th percentile: 1.634091329574585
30th percentile: 1.63476243019104
40th percentile: 1.6356591701507568
50th percentile: 1.6365559101104736
60th percentile: 1.6435275554656983
70th percentile: 1.650499200820923
80th percentile: 1.758389186859131
90th percentile: 1.9671975135803224
95th percentile: 2.071601676940918
99th percentile: 2.1551250076293944
mean time: 1.7468122482299804
Pipeline stage StressChecker completed in 9.63s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
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
sao10k-fimbulvetr-11b-v2_v2 status is now deployed due to DeploymentManager action
sao10k-fimbulvetr-11b-v2_v2 status is now inactive due to auto deactivation removed underperforming models

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