submission_id: inv-gamma-alpha-7b_v2
developer_uid: chai_backend_admin
status: inactive
model_repo: Inv/Gamma-Alpha-7B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'top_k': 50, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>', '<|user|>', '###'], 'max_input_tokens': 512, 'best_of': 1, '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: 2024-04-02T07:25:55+00:00
model_name: auto_submit_ricum_davavusena
model_eval_status: success
safety_score: 0.98
entertaining: 6.78
stay_in_character: 8.48
user_preference: 7.5
double_thumbs_up: 59
thumbs_up: 70
thumbs_down: 43
num_battles: 5632
num_wins: 2490
win_ratio: 0.4421164772727273
celo_rating: 1121.62
Resubmit model
Running pipeline stage MKMLizer
Starting job with name inv-gamma-alpha-7b-v2-mkmlizer
Waiting for job on inv-gamma-alpha-7b-v2-mkmlizer to finish
inv-gamma-alpha-7b-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
inv-gamma-alpha-7b-v2-mkmlizer: ║ _____ __ __ ║
inv-gamma-alpha-7b-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
inv-gamma-alpha-7b-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
inv-gamma-alpha-7b-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
inv-gamma-alpha-7b-v2-mkmlizer: ║ /___/ ║
inv-gamma-alpha-7b-v2-mkmlizer: ║ ║
inv-gamma-alpha-7b-v2-mkmlizer: ║ Version: 0.6.11 ║
inv-gamma-alpha-7b-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
inv-gamma-alpha-7b-v2-mkmlizer: ║ ║
inv-gamma-alpha-7b-v2-mkmlizer: ║ The license key for the current software has been verified as ║
inv-gamma-alpha-7b-v2-mkmlizer: ║ belonging to: ║
inv-gamma-alpha-7b-v2-mkmlizer: ║ ║
inv-gamma-alpha-7b-v2-mkmlizer: ║ Chai Research Corp. ║
inv-gamma-alpha-7b-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
inv-gamma-alpha-7b-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
inv-gamma-alpha-7b-v2-mkmlizer: ║ ║
inv-gamma-alpha-7b-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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Exception raised while processing tagging_function
Traceback (most recent call last): File "/code/guanaco/guanaco_services/src/guanaco_model_service/chat_api.py", line 274, in resolve_chat_api conversation_tag = self.tagging_function(conversation_state) File "/home/zongyi/gitlab/zztools/zztools/llm/guanaco/submit_routing_model.py", line 176, in last_user_message_length TypeError: 'ConversationState' object is not subscriptable
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inv-gamma-alpha-7b-v2-mkmlizer: Downloaded to shared memory in 39.320s
inv-gamma-alpha-7b-v2-mkmlizer: quantizing model to /dev/shm/model_cache
inv-gamma-alpha-7b-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
inv-gamma-alpha-7b-v2-mkmlizer: Reading /tmp/tmpxxf1n97s/model.safetensors.index.json
inv-gamma-alpha-7b-v2-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:00<00:51, 5.61it/s] Profiling: 7%|▋ | 19/291 [00:00<00:03, 82.45it/s] Profiling: 13%|█▎ | 39/291 [00:00<00:02, 97.92it/s] Profiling: 21%|██ | 61/291 [00:00<00:01, 133.93it/s] Profiling: 27%|██▋ | 80/291 [00:00<00:01, 127.96it/s] Profiling: 35%|███▌ | 102/291 [00:00<00:01, 152.23it/s] Profiling: 42%|████▏ | 122/291 [00:00<00:01, 140.44it/s] Profiling: 48%|████▊ | 140/291 [00:01<00:01, 149.76it/s] Profiling: 55%|█████▍ | 160/291 [00:02<00:03, 37.68it/s] Profiling: 62%|██████▏ | 181/291 [00:02<00:02, 51.01it/s] Profiling: 68%|██████▊ | 197/291 [00:03<00:03, 29.54it/s] Profiling: 73%|███████▎ | 213/291 [00:03<00:02, 37.96it/s] Profiling: 79%|███████▉ | 231/291 [00:04<00:01, 47.34it/s] Profiling: 86%|████████▋ | 251/291 [00:04<00:00, 62.44it/s] Profiling: 94%|█████████▍| 274/291 [00:04<00:00, 78.11it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 66.05it/s]
inv-gamma-alpha-7b-v2-mkmlizer: quantized model in 14.196s
inv-gamma-alpha-7b-v2-mkmlizer: Processed model Inv/Gamma-Alpha-7B in 54.340s
inv-gamma-alpha-7b-v2-mkmlizer: creating bucket guanaco-mkml-models
inv-gamma-alpha-7b-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
inv-gamma-alpha-7b-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/inv-gamma-alpha-7b-v2
inv-gamma-alpha-7b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/inv-gamma-alpha-7b-v2/tokenizer_config.json
inv-gamma-alpha-7b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/inv-gamma-alpha-7b-v2/tokenizer.model
inv-gamma-alpha-7b-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/inv-gamma-alpha-7b-v2/special_tokens_map.json
inv-gamma-alpha-7b-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/inv-gamma-alpha-7b-v2/config.json
inv-gamma-alpha-7b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/inv-gamma-alpha-7b-v2/tokenizer.json
inv-gamma-alpha-7b-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
inv-gamma-alpha-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.
inv-gamma-alpha-7b-v2-mkmlizer: warnings.warn(
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inv-gamma-alpha-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.
inv-gamma-alpha-7b-v2-mkmlizer: warnings.warn(
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inv-gamma-alpha-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.
inv-gamma-alpha-7b-v2-mkmlizer: warnings.warn(
inv-gamma-alpha-7b-v2-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:27, 52.2MB/s] pytorch_model.bin: 7%|▋ | 94.4M/1.44G [00:00<00:03, 364MB/s] pytorch_model.bin: 13%|█▎ | 189M/1.44G [00:00<00:02, 556MB/s] pytorch_model.bin: 23%|██▎ | 325M/1.44G [00:00<00:01, 821MB/s] pytorch_model.bin: 30%|██▉ | 430M/1.44G [00:00<00:01, 869MB/s] pytorch_model.bin: 36%|███▋ | 524M/1.44G [00:00<00:01, 716MB/s] pytorch_model.bin: 46%|████▋ | 671M/1.44G [00:00<00:00, 906MB/s] pytorch_model.bin: 70%|██████▉ | 1.00G/1.44G [00:01<00:00, 1.56GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.35GB/s]
inv-gamma-alpha-7b-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
inv-gamma-alpha-7b-v2-mkmlizer: Saving duration: 0.240s
inv-gamma-alpha-7b-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.121s
inv-gamma-alpha-7b-v2-mkmlizer: creating bucket guanaco-reward-models
inv-gamma-alpha-7b-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
inv-gamma-alpha-7b-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/inv-gamma-alpha-7b-v2_reward
inv-gamma-alpha-7b-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/inv-gamma-alpha-7b-v2_reward/tokenizer_config.json
inv-gamma-alpha-7b-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/inv-gamma-alpha-7b-v2_reward/special_tokens_map.json
inv-gamma-alpha-7b-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/inv-gamma-alpha-7b-v2_reward/config.json
inv-gamma-alpha-7b-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/inv-gamma-alpha-7b-v2_reward/vocab.json
inv-gamma-alpha-7b-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/inv-gamma-alpha-7b-v2_reward/merges.txt
inv-gamma-alpha-7b-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/inv-gamma-alpha-7b-v2_reward/tokenizer.json
inv-gamma-alpha-7b-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/inv-gamma-alpha-7b-v2_reward/reward.tensors
Job inv-gamma-alpha-7b-v2-mkmlizer completed after 75.9s with status: succeeded
Stopping job with name inv-gamma-alpha-7b-v2-mkmlizer
Pipeline stage MKMLizer completed in 79.68s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service inv-gamma-alpha-7b-v2
Waiting for inference service inv-gamma-alpha-7b-v2 to be ready
Inference service inv-gamma-alpha-7b-v2 ready after 40.2158899307251s
Pipeline stage ISVCDeployer completed in 47.38s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.178112268447876s
Received healthy response to inference request in 0.6869509220123291s
Received healthy response to inference request in 0.621955394744873s
Received healthy response to inference request in 0.6179182529449463s
Received healthy response to inference request in 0.5668678283691406s
5 requests
0 failed requests
5th percentile: 0.5770779132843018
10th percentile: 0.5872879981994629
20th percentile: 0.6077081680297851
30th percentile: 0.6187256813049317
40th percentile: 0.6203405380249023
50th percentile: 0.621955394744873
60th percentile: 0.6479536056518554
70th percentile: 0.6739518165588378
80th percentile: 0.7851831912994386
90th percentile: 0.9816477298736572
95th percentile: 1.0798799991607666
99th percentile: 1.158465814590454
mean time: 0.734360933303833
Pipeline stage StressChecker completed in 4.50s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
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
inv-gamma-alpha-7b_v2 status is now deployed due to DeploymentManager action
inv-gamma-alpha-7b_v2 status is now inactive due to auto deactivation removed underperforming models

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