submission_id: inv-konstanta-v4-alpha-7b_v7
developer_uid: zonemercy
status: torndown
model_repo: Inv/Konstanta-V4-Alpha-7B
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, '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 Persona: {memory}. Avoid repetition, don't loop. Develop the plot slowly, always stay in character. Describe all actions in full, elaborate, explicit, graphic, and vivid detail. Mention all relevant sensory perceptions.", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-03-27T18:49:38+00:00
model_name: inv-konstanta-v4-alpha-7b_v7
model_eval_status: success
model_group: Inv/Konstanta-V4-Alpha-7
num_battles: 111959
num_wins: 60180
celo_rating: 1184.16
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: inv-konstanta-v4-alpha-7b_v7
ineligible_reason: propriety_total_count < 5000
language_model: Inv/Konstanta-V4-Alpha-7B
model_size: 7B
reward_model: rirv938/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-03-27
win_ratio: 0.5375181986262828
Resubmit model
Running pipeline stage MKMLizer
Starting job with name inv-konstanta-v4-alpha-7b-v7-mkmlizer
Waiting for job on inv-konstanta-v4-alpha-7b-v7-mkmlizer to finish
Stopping job with name inv-konstanta-v4-alpha-7b-v7-mkmlizer
%s, retrying in %s seconds...
Starting job with name inv-konstanta-v4-alpha-7b-v7-mkmlizer
Waiting for job on inv-konstanta-v4-alpha-7b-v7-mkmlizer to finish
inv-konstanta-v4-alpha-7b-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
inv-konstanta-v4-alpha-7b-v7-mkmlizer: ║ _____ __ __ ║
inv-konstanta-v4-alpha-7b-v7-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
inv-konstanta-v4-alpha-7b-v7-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
inv-konstanta-v4-alpha-7b-v7-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
inv-konstanta-v4-alpha-7b-v7-mkmlizer: ║ /___/ ║
inv-konstanta-v4-alpha-7b-v7-mkmlizer: ║ ║
inv-konstanta-v4-alpha-7b-v7-mkmlizer: ║ Version: 0.6.11 ║
inv-konstanta-v4-alpha-7b-v7-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
inv-konstanta-v4-alpha-7b-v7-mkmlizer: ║ ║
inv-konstanta-v4-alpha-7b-v7-mkmlizer: ║ The license key for the current software has been verified as ║
inv-konstanta-v4-alpha-7b-v7-mkmlizer: ║ belonging to: ║
inv-konstanta-v4-alpha-7b-v7-mkmlizer: ║ ║
inv-konstanta-v4-alpha-7b-v7-mkmlizer: ║ Chai Research Corp. ║
inv-konstanta-v4-alpha-7b-v7-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
inv-konstanta-v4-alpha-7b-v7-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
inv-konstanta-v4-alpha-7b-v7-mkmlizer: ║ ║
inv-konstanta-v4-alpha-7b-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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inv-konstanta-v4-alpha-7b-v7-mkmlizer: Downloaded to shared memory in 15.257s
inv-konstanta-v4-alpha-7b-v7-mkmlizer: quantizing model to /dev/shm/model_cache
inv-konstanta-v4-alpha-7b-v7-mkmlizer: Saving mkml model at /dev/shm/model_cache
inv-konstanta-v4-alpha-7b-v7-mkmlizer: Reading /tmp/tmpn3bl4psk/model.safetensors.index.json
inv-konstanta-v4-alpha-7b-v7-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:00<00:33, 8.63it/s] Profiling: 4%|▍ | 11/291 [00:00<00:05, 54.71it/s] Profiling: 8%|▊ | 24/291 [00:00<00:03, 85.89it/s] Profiling: 12%|█▏ | 36/291 [00:00<00:02, 98.20it/s] Profiling: 16%|█▌ | 47/291 [00:00<00:03, 72.95it/s] Profiling: 20%|█▉ | 58/291 [00:00<00:02, 79.31it/s] Profiling: 25%|██▌ | 74/291 [00:00<00:02, 96.64it/s] Profiling: 29%|██▉ | 85/291 [00:01<00:02, 80.52it/s] Profiling: 33%|███▎ | 95/291 [00:01<00:02, 83.75it/s] Profiling: 37%|███▋ | 109/291 [00:01<00:01, 96.51it/s] Profiling: 41%|████ | 120/291 [00:01<00:02, 78.05it/s] Profiling: 47%|████▋ | 136/291 [00:01<00:01, 95.45it/s] Profiling: 51%|█████ | 147/291 [00:01<00:01, 96.60it/s] Profiling: 55%|█████▍ | 160/291 [00:03<00:05, 22.17it/s] Profiling: 59%|█████▉ | 172/291 [00:03<00:04, 28.79it/s] Profiling: 64%|██████▎ | 185/291 [00:03<00:02, 37.82it/s] Profiling: 68%|██████▊ | 197/291 [00:04<00:04, 19.73it/s] Profiling: 71%|███████ | 207/291 [00:04<00:03, 24.62it/s] Profiling: 76%|███████▌ | 220/291 [00:05<00:02, 33.25it/s] Profiling: 79%|███████▉ | 231/291 [00:05<00:01, 38.30it/s] Profiling: 83%|████████▎ | 242/291 [00:05<00:01, 46.65it/s] Profiling: 88%|████████▊ | 256/291 [00:05<00:00, 60.11it/s] Profiling: 93%|█████████▎| 272/291 [00:05<00:00, 76.85it/s] Profiling: 98%|█████████▊| 284/291 [00:05<00:00, 71.71it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 49.80it/s]
inv-konstanta-v4-alpha-7b-v7-mkmlizer: quantized model in 16.631s
inv-konstanta-v4-alpha-7b-v7-mkmlizer: Processed model Inv/Konstanta-V4-Alpha-7B in 32.977s
inv-konstanta-v4-alpha-7b-v7-mkmlizer: creating bucket guanaco-mkml-models
inv-konstanta-v4-alpha-7b-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
inv-konstanta-v4-alpha-7b-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/inv-konstanta-v4-alpha-7b-v7
inv-konstanta-v4-alpha-7b-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/inv-konstanta-v4-alpha-7b-v7/config.json
inv-konstanta-v4-alpha-7b-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/inv-konstanta-v4-alpha-7b-v7/special_tokens_map.json
inv-konstanta-v4-alpha-7b-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/inv-konstanta-v4-alpha-7b-v7/tokenizer_config.json
inv-konstanta-v4-alpha-7b-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/inv-konstanta-v4-alpha-7b-v7/tokenizer.model
inv-konstanta-v4-alpha-7b-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/inv-konstanta-v4-alpha-7b-v7/tokenizer.json
inv-konstanta-v4-alpha-7b-v7-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/inv-konstanta-v4-alpha-7b-v7/mkml_model.tensors
inv-konstanta-v4-alpha-7b-v7-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 24.3MB/s]
inv-konstanta-v4-alpha-7b-v7-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-konstanta-v4-alpha-7b-v7-mkmlizer: warnings.warn(
inv-konstanta-v4-alpha-7b-v7-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:13, 105MB/s] pytorch_model.bin: 2%|▏ | 31.5M/1.44G [00:00<00:09, 152MB/s] pytorch_model.bin: 14%|█▍ | 199M/1.44G [00:00<00:01, 674MB/s] pytorch_model.bin: 19%|█▉ | 273M/1.44G [00:00<00:01, 639MB/s] pytorch_model.bin: 23%|██▎ | 336M/1.44G [00:00<00:02, 437MB/s] pytorch_model.bin: 31%|███ | 451M/1.44G [00:00<00:01, 592MB/s] pytorch_model.bin: 40%|███▉ | 577M/1.44G [00:00<00:01, 728MB/s] pytorch_model.bin: 58%|█████▊ | 839M/1.44G [00:01<00:00, 1.20GB/s] pytorch_model.bin: 85%|████████▍ | 1.22G/1.44G [00:01<00:00, 1.89GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.18GB/s]
inv-konstanta-v4-alpha-7b-v7-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
inv-konstanta-v4-alpha-7b-v7-mkmlizer: Saving duration: 0.269s
inv-konstanta-v4-alpha-7b-v7-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 4.817s
inv-konstanta-v4-alpha-7b-v7-mkmlizer: creating bucket guanaco-reward-models
inv-konstanta-v4-alpha-7b-v7-mkmlizer: Bucket 's3://guanaco-reward-models/' created
inv-konstanta-v4-alpha-7b-v7-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/inv-konstanta-v4-alpha-7b-v7_reward
inv-konstanta-v4-alpha-7b-v7-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/inv-konstanta-v4-alpha-7b-v7_reward/config.json
inv-konstanta-v4-alpha-7b-v7-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/inv-konstanta-v4-alpha-7b-v7_reward/special_tokens_map.json
inv-konstanta-v4-alpha-7b-v7-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/inv-konstanta-v4-alpha-7b-v7_reward/tokenizer_config.json
inv-konstanta-v4-alpha-7b-v7-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/inv-konstanta-v4-alpha-7b-v7_reward/vocab.json
inv-konstanta-v4-alpha-7b-v7-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/inv-konstanta-v4-alpha-7b-v7_reward/merges.txt
inv-konstanta-v4-alpha-7b-v7-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/inv-konstanta-v4-alpha-7b-v7_reward/tokenizer.json
inv-konstanta-v4-alpha-7b-v7-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/inv-konstanta-v4-alpha-7b-v7_reward/reward.tensors
Job inv-konstanta-v4-alpha-7b-v7-mkmlizer completed after 65.08s with status: succeeded
Stopping job with name inv-konstanta-v4-alpha-7b-v7-mkmlizer
Pipeline stage MKMLizer completed in 68.75s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service inv-konstanta-v4-alpha-7b-v7
Waiting for inference service inv-konstanta-v4-alpha-7b-v7 to be ready
Inference service inv-konstanta-v4-alpha-7b-v7 ready after 50.40666198730469s
Pipeline stage ISVCDeployer completed in 57.65s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.6952126026153564s
Received healthy response to inference request in 1.17195725440979s
Received healthy response to inference request in 1.1878485679626465s
Received healthy response to inference request in 1.188281536102295s
Received healthy response to inference request in 1.1742889881134033s
5 requests
0 failed requests
5th percentile: 1.1724236011505127
10th percentile: 1.1728899478912354
20th percentile: 1.1738226413726807
30th percentile: 1.1770009040832519
40th percentile: 1.1824247360229492
50th percentile: 1.1878485679626465
60th percentile: 1.188021755218506
70th percentile: 1.1881949424743652
80th percentile: 1.2896677494049074
90th percentile: 1.4924401760101318
95th percentile: 1.593826389312744
99th percentile: 1.674935359954834
mean time: 1.2835177898406982
Pipeline stage StressChecker completed in 7.28s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.04s
M-Eval Dataset for topic stay_in_character is loaded
inv-konstanta-v4-alpha-7b_v7 status is now deployed due to DeploymentManager action
inv-konstanta-v4-alpha-7b_v7 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of inv-konstanta-v4-alpha-7b_v7
Running pipeline stage ISVCDeleter
Checking if service inv-konstanta-v4-alpha-7b-v7 is running
Tearing down inference service inv-konstanta-v4-alpha-7b-v7
Toredown service inv-konstanta-v4-alpha-7b-v7
Pipeline stage ISVCDeleter completed in 3.74s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key inv-konstanta-v4-alpha-7b-v7/config.json from bucket guanaco-mkml-models
Deleting key inv-konstanta-v4-alpha-7b-v7/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key inv-konstanta-v4-alpha-7b-v7/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key inv-konstanta-v4-alpha-7b-v7/tokenizer.json from bucket guanaco-mkml-models
Deleting key inv-konstanta-v4-alpha-7b-v7/tokenizer.model from bucket guanaco-mkml-models
Deleting key inv-konstanta-v4-alpha-7b-v7/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key inv-konstanta-v4-alpha-7b-v7_reward/config.json from bucket guanaco-reward-models
Deleting key inv-konstanta-v4-alpha-7b-v7_reward/merges.txt from bucket guanaco-reward-models
Deleting key inv-konstanta-v4-alpha-7b-v7_reward/reward.tensors from bucket guanaco-reward-models
Deleting key inv-konstanta-v4-alpha-7b-v7_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key inv-konstanta-v4-alpha-7b-v7_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key inv-konstanta-v4-alpha-7b-v7_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key inv-konstanta-v4-alpha-7b-v7_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.03s
inv-konstanta-v4-alpha-7b_v7 status is now torndown due to DeploymentManager action

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