submission_id: mistralai-mistral-nemo-_9330_v10
developer_uid: zonemercy
alignment_samples: 0
best_of: 4
celo_rating: 1200.13
display_name: mistralai-mistral-nemo-_9330_v10
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}
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64, 'reward_max_token_input': 256}
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: mistralai/Mistral-Nemo-I
model_name: mistralai-mistral-nemo-_9330_v10
model_num_parameters: 12772070400.0
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
num_battles: 18362
num_wins: 9296
propriety_score: 0.7457044673539519
propriety_total_count: 873.0
ranking_group: single
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'}
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-07-24T16:52:15+00:00
us_pacific_date: 2024-07-24
win_ratio: 0.5062629343208801
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Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v10-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v10-mkmlizer to finish
mistralai-mistral-nemo-9330-v10-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v10-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nemo-9330-v10-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
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mistralai-mistral-nemo-9330-v10-mkmlizer: ║ /___/ ║
mistralai-mistral-nemo-9330-v10-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v10-mkmlizer: ║ Version: 0.9.6 ║
mistralai-mistral-nemo-9330-v10-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nemo-9330-v10-mkmlizer: ║ https://mk1.ai ║
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mistralai-mistral-nemo-9330-v10-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nemo-9330-v10-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nemo-9330-v10-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
mistralai-mistral-nemo-9330-v10-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v10-mkmlizer: Downloaded to shared memory in 51.115s
mistralai-mistral-nemo-9330-v10-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8oh1pr8n, device:0
mistralai-mistral-nemo-9330-v10-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v10-mkmlizer: quantized model in 35.718s
mistralai-mistral-nemo-9330-v10-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 86.833s
mistralai-mistral-nemo-9330-v10-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v10-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v10-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v10
mistralai-mistral-nemo-9330-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v10/tokenizer.json
mistralai-mistral-nemo-9330-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v10/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v10-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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mistralai-mistral-nemo-9330-v10-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v10-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:778: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mistral-nemo-9330-v10-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v10-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:469: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mistral-nemo-9330-v10-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v10-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.44s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 3.95s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.17s/it]
mistralai-mistral-nemo-9330-v10-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.40it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.91it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.57it/s]
mistralai-mistral-nemo-9330-v10-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mistral-nemo-9330-v10-mkmlizer: Saving duration: 1.422s
mistralai-mistral-nemo-9330-v10-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.360s
mistralai-mistral-nemo-9330-v10-mkmlizer: creating bucket guanaco-reward-models
mistralai-mistral-nemo-9330-v10-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mistral-nemo-9330-v10-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v10_reward
mistralai-mistral-nemo-9330-v10-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v10_reward/special_tokens_map.json
mistralai-mistral-nemo-9330-v10-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v10_reward/config.json
mistralai-mistral-nemo-9330-v10-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v10_reward/tokenizer_config.json
mistralai-mistral-nemo-9330-v10-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v10_reward/merges.txt
mistralai-mistral-nemo-9330-v10-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v10_reward/vocab.json
mistralai-mistral-nemo-9330-v10-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v10_reward/tokenizer.json
mistralai-mistral-nemo-9330-v10-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v10_reward/reward.tensors
Job mistralai-mistral-nemo-9330-v10-mkmlizer completed after 137.63s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v10-mkmlizer
Pipeline stage MKMLizer completed in 138.70s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mistral-nemo-9330-v10
Waiting for inference service mistralai-mistral-nemo-9330-v10 to be ready
Inference service mistralai-mistral-nemo-9330-v10 ready after 60.69508743286133s
Pipeline stage ISVCDeployer completed in 62.35s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3651034832000732s
Received healthy response to inference request in 1.518876552581787s
Received healthy response to inference request in 1.5309126377105713s
Received healthy response to inference request in 1.5033690929412842s
Received healthy response to inference request in 1.3582162857055664s
5 requests
0 failed requests
5th percentile: 1.38724684715271
10th percentile: 1.4162774085998535
20th percentile: 1.4743385314941406
30th percentile: 1.5064705848693847
40th percentile: 1.512673568725586
50th percentile: 1.518876552581787
60th percentile: 1.5236909866333008
70th percentile: 1.5285054206848145
80th percentile: 1.697750806808472
90th percentile: 2.0314271450042725
95th percentile: 2.198265314102173
99th percentile: 2.331735849380493
mean time: 1.6552956104278564
Pipeline stage StressChecker completed in 8.96s
mistralai-mistral-nemo-_9330_v10 status is now deployed due to DeploymentManager action
mistralai-mistral-nemo-_9330_v10 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of mistralai-mistral-nemo-_9330_v10
Running pipeline stage ISVCDeleter
Checking if service mistralai-mistral-nemo-9330-v10 is running
Tearing down inference service mistralai-mistral-nemo-9330-v10
Service mistralai-mistral-nemo-9330-v10 has been torndown
Pipeline stage ISVCDeleter completed in 4.82s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key mistralai-mistral-nemo-9330-v10/config.json from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v10/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v10/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v10/tokenizer.json from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v10/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key mistralai-mistral-nemo-9330-v10_reward/config.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v10_reward/merges.txt from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v10_reward/reward.tensors from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v10_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v10_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v10_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v10_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.59s
mistralai-mistral-nemo-_9330_v10 status is now torndown due to DeploymentManager action

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