developer_uid: Nitral-AI
submission_id: nitral-ai-eris-primev4-4_7044_v2
model_name: nitral-ai-eris-primev4-4_7044_v2
model_group: Nitral-AI/Eris_PrimeV4.4
status: torndown
timestamp: 2024-04-11T01:42:17+00:00
num_battles: 5410
num_wins: 2613
celo_rating: 1151.1
family_friendly_score: 0.0
submission_type: basic
model_repo: Nitral-AI/Eris_PrimeV4.420-Remix-7B
model_architecture: MistralForCausalLM
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 7241732096.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: nitral-ai-eris-primev4-4_7044_v2
is_internal_developer: False
language_model: Nitral-AI/Eris_PrimeV4.420-Remix-7B
model_size: 7B
ranking_group: single
us_pacific_date: 2024-04-10
win_ratio: 0.4829944547134935
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, '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}:', 'truncate_by_message': False}
model_eval_status: success
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nitral-ai-eris-primev4-4-7044-v2-mkmlizer
Waiting for job on nitral-ai-eris-primev4-4-7044-v2-mkmlizer to finish
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: ║ _____ __ __ ║
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: ║ /___/ ║
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: ║ ║
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: ║ Version: 0.6.11 ║
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: ║ ║
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: ║ The license key for the current software has been verified as ║
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: ║ belonging to: ║
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: ║ ║
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: ║ Chai Research Corp. ║
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: ║ ║
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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nitral-ai-eris-primev4-4-7044-v2-mkmlizer: Downloaded to shared memory in 14.754s
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: quantizing model to /dev/shm/model_cache
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: Reading /tmp/tmpgw0jfk26/model.safetensors.index.json
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:00<01:49, 2.65it/s] Profiling: 7%|▋ | 19/291 [00:00<00:05, 49.84it/s] Profiling: 14%|█▎ | 40/291 [00:00<00:03, 78.39it/s] Profiling: 20%|██ | 59/291 [00:00<00:02, 104.06it/s] Profiling: 27%|██▋ | 79/291 [00:00<00:01, 128.68it/s] Profiling: 33%|███▎ | 95/291 [00:01<00:01, 106.46it/s] Profiling: 37%|███▋ | 109/291 [00:01<00:01, 113.19it/s] Profiling: 42%|████▏ | 123/291 [00:02<00:06, 27.92it/s] Profiling: 48%|████▊ | 141/291 [00:02<00:03, 39.34it/s] Profiling: 54%|█████▍ | 157/291 [00:02<00:02, 47.71it/s] Profiling: 60%|██████ | 175/291 [00:02<00:01, 62.66it/s] Profiling: 67%|██████▋ | 194/291 [00:03<00:01, 79.98it/s] Profiling: 72%|███████▏ | 209/291 [00:04<00:02, 30.16it/s] Profiling: 76%|███████▌ | 221/291 [00:04<00:01, 36.10it/s] Profiling: 80%|████████ | 234/291 [00:04<00:01, 43.65it/s] Profiling: 88%|████████▊ | 255/291 [00:04<00:00, 61.44it/s] Profiling: 93%|█████████▎| 272/291 [00:04<00:00, 71.25it/s] Profiling: 98%|█████████▊| 286/291 [00:05<00:00, 81.79it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 57.13it/s]
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: quantized model in 15.044s
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: Processed model Nitral-AI/Eris_PrimeV4.420-Remix-7B in 30.686s
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: creating bucket guanaco-mkml-models
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nitral-ai-eris-primev4-4-7044-v2
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nitral-ai-eris-primev4-4-7044-v2/config.json
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nitral-ai-eris-primev4-4-7044-v2/tokenizer_config.json
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nitral-ai-eris-primev4-4-7044-v2/special_tokens_map.json
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/nitral-ai-eris-primev4-4-7044-v2/tokenizer.model
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nitral-ai-eris-primev4-4-7044-v2/tokenizer.json
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/nitral-ai-eris-primev4-4-7044-v2/mkml_model.tensors
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
nitral-ai-eris-primev4-4-7044-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.
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: warnings.warn(
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nitral-ai-eris-primev4-4-7044-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.
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: warnings.warn(
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nitral-ai-eris-primev4-4-7044-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.
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: warnings.warn(
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:07, 183MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:00<00:13, 106MB/s] pytorch_model.bin: 8%|▊ | 115M/1.44G [00:00<00:04, 291MB/s] pytorch_model.bin: 11%|█ | 157M/1.44G [00:00<00:04, 316MB/s] pytorch_model.bin: 14%|█▍ | 199M/1.44G [00:00<00:04, 259MB/s] pytorch_model.bin: 20%|█▉ | 283M/1.44G [00:00<00:03, 386MB/s] pytorch_model.bin: 23%|██▎ | 336M/1.44G [00:01<00:02, 400MB/s] pytorch_model.bin: 30%|██▉ | 430M/1.44G [00:01<00:01, 529MB/s] pytorch_model.bin: 34%|███▍ | 493M/1.44G [00:01<00:01, 547MB/s] pytorch_model.bin: 60%|█████▉ | 860M/1.44G [00:01<00:00, 1.38GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 987MB/s]
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: Saving duration: 0.230s
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.776s
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: creating bucket guanaco-reward-models
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nitral-ai-eris-primev4-4-7044-v2_reward
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nitral-ai-eris-primev4-4-7044-v2_reward/config.json
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nitral-ai-eris-primev4-4-7044-v2_reward/tokenizer_config.json
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nitral-ai-eris-primev4-4-7044-v2_reward/merges.txt
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nitral-ai-eris-primev4-4-7044-v2_reward/vocab.json
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nitral-ai-eris-primev4-4-7044-v2_reward/special_tokens_map.json
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nitral-ai-eris-primev4-4-7044-v2_reward/tokenizer.json
nitral-ai-eris-primev4-4-7044-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nitral-ai-eris-primev4-4-7044-v2_reward/reward.tensors
Job nitral-ai-eris-primev4-4-7044-v2-mkmlizer completed after 67.62s with status: succeeded
Stopping job with name nitral-ai-eris-primev4-4-7044-v2-mkmlizer
Pipeline stage MKMLizer completed in 71.85s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service nitral-ai-eris-primev4-4-7044-v2
Waiting for inference service nitral-ai-eris-primev4-4-7044-v2 to be ready
Inference service nitral-ai-eris-primev4-4-7044-v2 ready after 40.28737807273865s
Pipeline stage ISVCDeployer completed in 49.22s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.575596570968628s
Received healthy response to inference request in 1.5514276027679443s
Received healthy response to inference request in 1.0471503734588623s
Received healthy response to inference request in 0.9460833072662354s
Received healthy response to inference request in 1.265174150466919s
5 requests
0 failed requests
5th percentile: 0.9662967205047608
10th percentile: 0.9865101337432861
20th percentile: 1.0269369602203369
30th percentile: 1.0907551288604735
40th percentile: 1.1779646396636962
50th percentile: 1.265174150466919
60th percentile: 1.379675531387329
70th percentile: 1.4941769123077393
80th percentile: 1.5562613964080811
90th percentile: 1.5659289836883545
95th percentile: 1.5707627773284911
99th percentile: 1.5746298122406006
mean time: 1.2770864009857177
Pipeline stage StressChecker completed in 7.20s
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 0.05s
M-Eval Dataset for topic stay_in_character is loaded
nitral-ai-eris-primev4-4_7044_v2 status is now deployed due to DeploymentManager action
nitral-ai-eris-primev4-4_7044_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of nitral-ai-eris-primev4-4_7044_v2
Cleaning model data from S3
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Checking if service nitral-ai-eris-primev4-4-7044-v2 is running
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Cleaning model data from model cache
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Cleaning model data from model cache
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Deleting key mistralai-mixtral-8x7b-3473-v15_reward/tokenizer.json from bucket guanaco-reward-models
Tearing down inference service nitral-ai-eris-primev4-4-7044-v2
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Toredown service nitral-ai-eris-primev4-4-7044-v2
Deleting key mlabonne-ultramerge-7b-v1_reward/tokenizer.json from bucket guanaco-reward-models
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Pipeline stage ISVCDeleter completed in 4.22s
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Deleting key mlabonne-ultramerge-7b-v1_reward/vocab.json from bucket guanaco-reward-models
Running pipeline stage MKMLModelDeleter
mistralai-mixtral-8x7b-_3473_v15 status is now torndown due to DeploymentManager action
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Cleaning model data from S3
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Cleaning model data from model cache
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