developer_uid: zonemercy
submission_id: mistralai-mistral-nemo-_9330_v35
model_name: 0801v1-0
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2024-08-01T23:28:12+00:00
num_battles: 11867
num_wins: 5245
celo_rating: 1157.85
family_friendly_score: 0.0
submission_type: basic
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_architecture: MistralForCausalLM
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
model_num_parameters: 12772070400.0
best_of: 1
max_input_tokens: 1024
max_output_tokens: 64
display_name: 0801v1-0
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
us_pacific_date: 2024-08-01
win_ratio: 0.44198196679868546
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 1, 'max_output_tokens': 64, 'reward_max_token_input': 256}
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}
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': '', 'prompt_template': '', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v35-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v35-mkmlizer to finish
mistralai-mistral-nemo-9330-v35-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v35-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nemo-9330-v35-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nemo-9330-v35-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nemo-9330-v35-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nemo-9330-v35-mkmlizer: ║ /___/ ║
mistralai-mistral-nemo-9330-v35-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v35-mkmlizer: ║ Version: 0.9.7 ║
mistralai-mistral-nemo-9330-v35-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nemo-9330-v35-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nemo-9330-v35-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v35-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nemo-9330-v35-mkmlizer: ║ belonging to: ║
mistralai-mistral-nemo-9330-v35-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v35-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nemo-9330-v35-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nemo-9330-v35-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
mistralai-mistral-nemo-9330-v35-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v35-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v35-mkmlizer: Downloaded to shared memory in 52.415s
mistralai-mistral-nemo-9330-v35-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmprl6hez50, device:0
mistralai-mistral-nemo-9330-v35-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission blend_mofos_2024-07-31: ('http://chaiml-elo-alignment-run-3-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:55374->127.0.0.1:8080: read: connection reset by peer\n')
mistralai-mistral-nemo-9330-v35-mkmlizer: quantized model in 37.133s
mistralai-mistral-nemo-9330-v35-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 89.548s
mistralai-mistral-nemo-9330-v35-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v35-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v35-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v35
mistralai-mistral-nemo-9330-v35-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v35/config.json
mistralai-mistral-nemo-9330-v35-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v35/special_tokens_map.json
mistralai-mistral-nemo-9330-v35-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v35/tokenizer_config.json
mistralai-mistral-nemo-9330-v35-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v35/tokenizer.json
mistralai-mistral-nemo-9330-v35-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v35/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v35-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
mistralai-mistral-nemo-9330-v35-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:10, 33.43it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:06, 53.50it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:07, 47.83it/s] Loading 0: 7%|▋ | 24/363 [00:00<00:07, 45.65it/s] Loading 0: 9%|▊ | 31/363 [00:00<00:06, 51.58it/s] Loading 0: 10%|█ | 37/363 [00:00<00:06, 47.31it/s] Loading 0: 12%|█▏ | 42/363 [00:00<00:06, 46.13it/s] Loading 0: 13%|█▎ | 49/363 [00:01<00:06, 51.37it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 46.88it/s] Loading 0: 17%|█▋ | 61/363 [00:01<00:08, 35.52it/s] Loading 0: 18%|█▊ | 66/363 [00:01<00:08, 36.82it/s] Loading 0: 20%|█▉ | 72/363 [00:01<00:07, 40.52it/s] Loading 0: 21%|██▏ | 78/363 [00:01<00:07, 40.14it/s] Loading 0: 23%|██▎ | 83/363 [00:01<00:06, 40.56it/s] Loading 0: 25%|██▍ | 89/363 [00:02<00:06, 44.60it/s] Loading 0: 26%|██▌ | 94/363 [00:02<00:06, 44.49it/s] Loading 0: 27%|██▋ | 99/363 [00:02<00:05, 44.99it/s] Loading 0: 29%|██▊ | 104/363 [00:02<00:05, 45.66it/s] Loading 0: 30%|███ | 110/363 [00:02<00:06, 41.54it/s] Loading 0: 32%|███▏ | 115/363 [00:02<00:06, 40.64it/s] Loading 0: 33%|███▎ | 120/363 [00:02<00:06, 37.88it/s] Loading 0: 34%|███▍ | 125/363 [00:02<00:06, 39.52it/s] Loading 0: 36%|███▌ | 130/363 [00:03<00:05, 39.05it/s] Loading 0: 37%|███▋ | 134/363 [00:03<00:06, 36.49it/s] Loading 0: 38%|███▊ | 138/363 [00:03<00:06, 35.35it/s] Loading 0: 39%|███▉ | 142/363 [00:03<00:08, 25.87it/s] Loading 0: 40%|███▉ | 145/363 [00:03<00:08, 25.74it/s] Loading 0: 41%|████ | 149/363 [00:03<00:08, 26.28it/s] Loading 0: 42%|████▏ | 154/363 [00:03<00:06, 31.48it/s] Loading 0: 44%|████▎ | 158/363 [00:04<00:06, 29.93it/s] Loading 0: 45%|████▌ | 165/363 [00:04<00:05, 37.22it/s] Loading 0: 47%|████▋ | 169/363 [00:04<00:05, 36.06it/s] Loading 0: 48%|████▊ | 174/363 [00:04<00:04, 37.90it/s] Loading 0: 49%|████▉ | 178/363 [00:04<00:05, 35.85it/s] Loading 0: 50%|█████ | 183/363 [00:04<00:04, 37.63it/s] Loading 0: 52%|█████▏ | 187/363 [00:04<00:04, 36.38it/s] Loading 0: 53%|█████▎ | 192/363 [00:04<00:04, 36.89it/s] Loading 0: 54%|█████▍ | 196/363 [00:05<00:04, 35.50it/s] Loading 0: 55%|█████▌ | 201/363 [00:05<00:04, 37.33it/s] Loading 0: 56%|█████▋ | 205/363 [00:05<00:04, 35.34it/s] Loading 0: 58%|█████▊ | 210/363 [00:05<00:04, 36.58it/s] Loading 0: 59%|█████▉ | 214/363 [00:05<00:04, 35.66it/s] Loading 0: 60%|██████ | 218/363 [00:05<00:04, 36.00it/s] Loading 0: 61%|██████▏ | 223/363 [00:05<00:04, 28.02it/s] Loading 0: 63%|██████▎ | 227/363 [00:06<00:04, 30.15it/s] Loading 0: 64%|██████▎ | 231/363 [00:06<00:04, 30.21it/s] Loading 0: 65%|██████▌ | 237/363 [00:06<00:03, 35.76it/s] Loading 0: 66%|██████▋ | 241/363 [00:06<00:03, 36.30it/s] Loading 0: 68%|██████▊ | 247/363 [00:06<00:02, 40.47it/s] Loading 0: 69%|██████▉ | 252/363 [00:06<00:02, 42.80it/s] Loading 0: 71%|███████ | 257/363 [00:06<00:02, 36.55it/s] Loading 0: 73%|███████▎ | 264/363 [00:06<00:02, 43.76it/s] Loading 0: 74%|███████▍ | 269/363 [00:07<00:02, 44.13it/s] Loading 0: 75%|███████▌ | 274/363 [00:07<00:02, 43.69it/s] Loading 0: 77%|███████▋ | 279/363 [00:07<00:01, 44.51it/s] Loading 0: 78%|███████▊ | 284/363 [00:07<00:02, 35.93it/s] Loading 0: 80%|████████ | 291/363 [00:07<00:01, 42.00it/s] Loading 0: 82%|████████▏ | 296/363 [00:07<00:01, 41.38it/s] Loading 0: 83%|████████▎ | 301/363 [00:07<00:01, 41.95it/s] Loading 0: 84%|████████▍ | 306/363 [00:14<00:23, 2.44it/s] Loading 0: 85%|████████▌ | 310/363 [00:14<00:16, 3.17it/s] Loading 0: 87%|████████▋ | 314/363 [00:14<00:11, 4.16it/s] Loading 0: 88%|████████▊ | 320/363 [00:15<00:06, 6.18it/s] Loading 0: 90%|████████▉ | 325/363 [00:15<00:04, 8.38it/s] Loading 0: 91%|█████████ | 330/363 [00:15<00:03, 10.48it/s] Loading 0: 93%|█████████▎| 337/363 [00:15<00:01, 15.33it/s] Loading 0: 94%|█████████▍| 342/363 [00:15<00:01, 18.59it/s] Loading 0: 96%|█████████▌| 347/363 [00:15<00:00, 22.15it/s] Loading 0: 97%|█████████▋| 353/363 [00:15<00:00, 25.42it/s] Loading 0: 99%|█████████▊| 358/363 [00:15<00:00, 28.03it/s] /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:957: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mistral-nemo-9330-v35-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v35-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:785: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mistral-nemo-9330-v35-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v35-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-v35-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v35-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.55s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.07s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.29s/it]
mistralai-mistral-nemo-9330-v35-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.28it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.77it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.43it/s]
mistralai-mistral-nemo-9330-v35-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mistral-nemo-9330-v35-mkmlizer: creating bucket guanaco-reward-models
mistralai-mistral-nemo-9330-v35-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mistral-nemo-9330-v35-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v35_reward
mistralai-mistral-nemo-9330-v35-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v35_reward/config.json
mistralai-mistral-nemo-9330-v35-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v35_reward/special_tokens_map.json
mistralai-mistral-nemo-9330-v35-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v35_reward/tokenizer_config.json
mistralai-mistral-nemo-9330-v35-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v35_reward/merges.txt
mistralai-mistral-nemo-9330-v35-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v35_reward/vocab.json
mistralai-mistral-nemo-9330-v35-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v35_reward/tokenizer.json
mistralai-mistral-nemo-9330-v35-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v35_reward/reward.tensors
Job mistralai-mistral-nemo-9330-v35-mkmlizer completed after 146.7s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v35-mkmlizer
Pipeline stage MKMLizer completed in 147.70s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mistral-nemo-9330-v35
Waiting for inference service mistralai-mistral-nemo-9330-v35 to be ready
Inference service mistralai-mistral-nemo-9330-v35 ready after 151.63133025169373s
Pipeline stage ISVCDeployer completed in 153.20s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.3813581466674805s
Received healthy response to inference request in 1.8719427585601807s
Received healthy response to inference request in 1.015296220779419s
Received healthy response to inference request in 0.6793043613433838s
Received healthy response to inference request in 0.6512129306793213s
5 requests
0 failed requests
5th percentile: 0.6568312168121337
10th percentile: 0.6624495029449463
20th percentile: 0.6736860752105713
30th percentile: 0.7465027332305908
40th percentile: 0.8808994770050049
50th percentile: 1.015296220779419
60th percentile: 1.1617209911346436
70th percentile: 1.3081457614898682
80th percentile: 1.4794750690460206
90th percentile: 1.6757089138031007
95th percentile: 1.7738258361816406
99th percentile: 1.8523193740844726
mean time: 1.119822883605957
Pipeline stage StressChecker completed in 6.27s
mistralai-mistral-nemo-_9330_v35 status is now deployed due to DeploymentManager action
mistralai-mistral-nemo-_9330_v35 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of mistralai-mistral-nemo-_9330_v35
Running pipeline stage ISVCDeleter
Checking if service mistralai-mistral-nemo-9330-v35 is running
Tearing down inference service mistralai-mistral-nemo-9330-v35
Service mistralai-mistral-nemo-9330-v35 has been torndown
Pipeline stage ISVCDeleter completed in 4.40s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key mistralai-mistral-nemo-9330-v35/config.json from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v35/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v35/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v35/tokenizer.json from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v35/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key mistralai-mistral-nemo-9330-v35_reward/config.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v35_reward/merges.txt from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v35_reward/reward.tensors from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v35_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v35_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v35_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v35_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.03s
mistralai-mistral-nemo-_9330_v35 status is now torndown due to DeploymentManager action