submission_id: sao10k-fimbulvetr-11b-v2_v3
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': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 2, 'max_output_tokens': 64}
formatter: {'memory_template': "This is {bot_name}'s persona: {memory}\n", 'prompt_template': "Below is an instruction that describes a task. Write a response that appropriately completes the request. \n### Instruction\nUsing the skill of an author, you're {bot_name} in a roleplaying session that leaves a lasting impression on {user_name}. Reply as {bot_name}. Stay true to the persona given, reply with natural and descriptive sentences. Progress and advance the scene at a natural pace, while allowing for {user_name} to input their responses. Follow the following prompt too. {prompt}.", 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '### Response:\n{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': '### Response:\n{bot_name}:'}
timestamp: 2024-03-27T16:20:54+00:00
model_name: sao10k-fimbulvetr-11b-v2_v3
model_eval_status: success
safety_score: 0.8
entertaining: 7.16
stay_in_character: 8.81
user_preference: 7.88
double_thumbs_up: 285
thumbs_up: 416
thumbs_down: 213
num_battles: 67410
num_wins: 31859
win_ratio: 0.47261533897047914
celo_rating: 1138.49
Resubmit model
Running pipeline stage MKMLizer
Starting job with name sao10k-fimbulvetr-11b-v2-v3-mkmlizer
Waiting for job on sao10k-fimbulvetr-11b-v2-v3-mkmlizer to finish
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: ║ _____ __ __ ║
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: ║ /___/ ║
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: ║ ║
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: ║ Version: 0.6.11 ║
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: ║ ║
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: ║ The license key for the current software has been verified as ║
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: ║ belonging to: ║
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: ║ ║
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: ║ Chai Research Corp. ║
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: ║ ║
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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sao10k-fimbulvetr-11b-v2-v3-mkmlizer: Downloaded to shared memory in 28.200s
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: quantizing model to /dev/shm/model_cache
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: Saving mkml model at /dev/shm/model_cache
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: Reading /tmp/tmp3abzwcuc/model.safetensors.index.json
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: Profiling: 0%| | 0/435 [00:00<?, ?it/s] Profiling: 0%| | 1/435 [00:01<09:22, 1.30s/it] Profiling: 3%|▎ | 13/435 [00:01<00:33, 12.48it/s] Profiling: 6%|▋ | 28/435 [00:01<00:14, 28.92it/s] Profiling: 10%|█ | 45/435 [00:01<00:08, 48.64it/s] Profiling: 13%|█▎ | 57/435 [00:01<00:06, 60.57it/s] Profiling: 17%|█▋ | 73/435 [00:01<00:04, 78.46it/s] Profiling: 21%|██ | 90/435 [00:01<00:03, 95.92it/s] Profiling: 24%|██▍ | 104/435 [00:02<00:05, 61.78it/s] Profiling: 28%|██▊ | 121/435 [00:02<00:04, 77.27it/s] Profiling: 31%|███▏ | 136/435 [00:02<00:03, 90.51it/s] Profiling: 34%|███▍ | 149/435 [00:02<00:03, 94.61it/s] Profiling: 38%|███▊ | 166/435 [00:02<00:02, 108.65it/s] Profiling: 42%|████▏ | 183/435 [00:02<00:02, 120.83it/s] Profiling: 45%|████▌ | 197/435 [00:03<00:01, 124.87it/s] Profiling: 49%|████▊ | 211/435 [00:03<00:02, 75.16it/s] Profiling: 52%|█████▏ | 228/435 [00:03<00:02, 90.57it/s] Profiling: 55%|█████▌ | 241/435 [00:03<00:01, 98.11it/s] Profiling: 59%|█████▉ | 256/435 [00:03<00:01, 107.70it/s] Profiling: 63%|██████▎ | 273/435 [00:03<00:01, 118.88it/s] Profiling: 66%|██████▌ | 287/435 [00:03<00:01, 122.18it/s] Profiling: 70%|██████▉ | 303/435 [00:04<00:01, 131.14it/s] Profiling: 73%|███████▎ | 318/435 [00:04<00:01, 81.00it/s] Profiling: 76%|███████▌ | 331/435 [00:04<00:01, 89.93it/s] Profiling: 80%|███████▉ | 346/435 [00:04<00:00, 100.75it/s] Profiling: 83%|████████▎ | 363/435 [00:04<00:00, 112.99it/s] Profiling: 87%|████████▋ | 377/435 [00:04<00:00, 117.04it/s] Profiling: 90%|████████▉ | 391/435 [00:04<00:00, 121.30it/s] Profiling: 93%|█████████▎| 405/435 [00:06<00:01, 24.94it/s] Profiling: 96%|█████████▋| 419/435 [00:06<00:00, 32.58it/s] Profiling: 100%|██████████| 435/435 [00:06<00:00, 63.31it/s]
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: quantized model in 25.336s
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: Processed model Sao10K/Fimbulvetr-11B-v2 in 54.982s
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: creating bucket guanaco-mkml-models
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-fimbulvetr-11b-v2-v3
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-fimbulvetr-11b-v2-v3/config.json
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-fimbulvetr-11b-v2-v3/tokenizer_config.json
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-fimbulvetr-11b-v2-v3/special_tokens_map.json
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/sao10k-fimbulvetr-11b-v2-v3/tokenizer.model
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-fimbulvetr-11b-v2-v3/tokenizer.json
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/sao10k-fimbulvetr-11b-v2-v3/mkml_model.tensors
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
sao10k-fimbulvetr-11b-v2-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.
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: warnings.warn(
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sao10k-fimbulvetr-11b-v2-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.
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: warnings.warn(
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 1.40MB/s]
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sao10k-fimbulvetr-11b-v2-v3-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<02:00, 11.9MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:57, 24.9MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:01<00:28, 49.3MB/s] pytorch_model.bin: 4%|▎ | 52.4M/1.44G [00:01<00:26, 53.1MB/s] pytorch_model.bin: 8%|▊ | 115M/1.44G [00:01<00:17, 77.4MB/s] pytorch_model.bin: 12%|█▏ | 168M/1.44G [00:02<00:10, 126MB/s] pytorch_model.bin: 34%|███▍ | 493M/1.44G [00:02<00:01, 555MB/s] pytorch_model.bin: 62%|██████▏ | 891M/1.44G [00:02<00:00, 1.10GB/s] pytorch_model.bin: 80%|████████ | 1.16G/1.44G [00:02<00:00, 1.29GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:02<00:00, 567MB/s]
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: Saving duration: 0.303s
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.574s
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: creating bucket guanaco-reward-models
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/sao10k-fimbulvetr-11b-v2-v3_reward
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/sao10k-fimbulvetr-11b-v2-v3_reward/special_tokens_map.json
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/sao10k-fimbulvetr-11b-v2-v3_reward/config.json
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/sao10k-fimbulvetr-11b-v2-v3_reward/tokenizer_config.json
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/sao10k-fimbulvetr-11b-v2-v3_reward/merges.txt
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/sao10k-fimbulvetr-11b-v2-v3_reward/vocab.json
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/sao10k-fimbulvetr-11b-v2-v3_reward/tokenizer.json
sao10k-fimbulvetr-11b-v2-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/sao10k-fimbulvetr-11b-v2-v3_reward/reward.tensors
Job sao10k-fimbulvetr-11b-v2-v3-mkmlizer completed after 95.82s with status: succeeded
Stopping job with name sao10k-fimbulvetr-11b-v2-v3-mkmlizer
Pipeline stage MKMLizer completed in 101.27s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service sao10k-fimbulvetr-11b-v2-v3
Waiting for inference service sao10k-fimbulvetr-11b-v2-v3 to be ready
Retrying (%r) after connection broken by '%r': %s
Retrying (%r) after connection broken by '%r': %s
Retrying (%r) after connection broken by '%r': %s
Inference service sao10k-fimbulvetr-11b-v2-v3 ready after 50.410319805145264s
Pipeline stage ISVCDeployer completed in 58.85s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.179511070251465s
Received healthy response to inference request in 1.620211124420166s
Received healthy response to inference request in 1.6295115947723389s
Received healthy response to inference request in 1.6199207305908203s
Received healthy response to inference request in 1.6328041553497314s
5 requests
0 failed requests
5th percentile: 1.6199788093566894
10th percentile: 1.6200368881225586
20th percentile: 1.620153045654297
30th percentile: 1.6220712184906005
40th percentile: 1.6257914066314698
50th percentile: 1.6295115947723389
60th percentile: 1.630828619003296
70th percentile: 1.632145643234253
80th percentile: 1.7421455383300781
90th percentile: 1.9608283042907715
95th percentile: 2.070169687271118
99th percentile: 2.1576427936553957
mean time: 1.7363917350769043
Pipeline stage StressChecker completed in 9.67s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Retrying (%r) after connection broken by '%r': %s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.09s
sao10k-fimbulvetr-11b-v2_v3 status is now deployed due to DeploymentManager action
sao10k-fimbulvetr-11b-v2_v3 status is now inactive due to auto deactivation removed underperforming models

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