mistralai-mistral-nemo-_9330

submission_id: mistralai-mistral-nemo-_9330_v21
developer_uid: Azazelle
best_of: 4
celo_rating: 1195.98
display_name: Mistral-Nemo-Instruct-2407
family_friendly_score: 0.0
formatter: {'memory_template': "<s>{bot_name}'s Persona: {memory}\\\n\\\n", 'prompt_template': '{prompt} [/INST]', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '[INST] {user_name}: {message} [/INST]', 'response_template': '{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.7, 'top_p': 1.0, 'min_p': 0.07, 'top_k': 1024, 'presence_penalty': 0.03, 'frequency_penalty': 0.01, 'stopping_words': ['\n', '\n\n', 'You:'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64, 'reward_max_token_input': 1024}
is_internal_developer: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: mistralai/Mistral-Nemo-I
model_name: Mistral-Nemo-Instruct-2407
model_num_parameters: 12772070400.0
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
num_battles: 10161
num_wins: 5118
ranking_group: single
reward_formatter: {'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-07-28T18:14:43+00:00
us_pacific_date: 2024-07-28
win_ratio: 0.5036905816356658
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v21-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v21-mkmlizer to finish
Failed to get response for submission sao10k-hydrochoerus-12b-v1-s1_v3: ('http://sao10k-hydrochoerus-12b-v1-s1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Failed to get response for submission sao10k-hydrochoerus-12b-v1-s1_v3: ('http://sao10k-hydrochoerus-12b-v1-s1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Failed to get response for submission sao10k-hydrochoerus-12b-v1-s1_v3: ('http://sao10k-hydrochoerus-12b-v1-s1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
mistralai-mistral-nemo-9330-v21-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v21-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nemo-9330-v21-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nemo-9330-v21-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v21-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v21-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v21-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v21-mkmlizer: ║  Version: 0.9.7                                                     ║
mistralai-mistral-nemo-9330-v21-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v21-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v21-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v21-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v21-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v21-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v21-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v21-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v21-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v21-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v21-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission sao10k-hydrochoerus-12b-v1-s1_v3: ('http://sao10k-hydrochoerus-12b-v1-s1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Failed to get response for submission sao10k-hydrochoerus-12b-v1-s1_v3: ('http://sao10k-hydrochoerus-12b-v1-s1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Failed to get response for submission sao10k-hydrochoerus-12b-v1-s1_v3: ('http://sao10k-hydrochoerus-12b-v1-s1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
mistralai-mistral-nemo-9330-v21-mkmlizer: Downloaded to shared memory in 53.729s
mistralai-mistral-nemo-9330-v21-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp59sneq1e, device:0
mistralai-mistral-nemo-9330-v21-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission sao10k-hydrochoerus-12b-v1-s1_v3: ('http://sao10k-hydrochoerus-12b-v1-s1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
mistralai-mistral-nemo-9330-v21-mkmlizer: quantized model in 35.766s
mistralai-mistral-nemo-9330-v21-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 89.495s
mistralai-mistral-nemo-9330-v21-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v21-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v21-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v21
mistralai-mistral-nemo-9330-v21-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v21/config.json
mistralai-mistral-nemo-9330-v21-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v21/special_tokens_map.json
mistralai-mistral-nemo-9330-v21-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v21/tokenizer_config.json
mistralai-mistral-nemo-9330-v21-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v21/tokenizer.json
mistralai-mistral-nemo-9330-v21-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v21/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v21-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
mistralai-mistral-nemo-9330-v21-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:10, 33.90it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:06, 54.09it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 48.13it/s]
Loading 0:   7%|▋         | 25/363 [00:00<00:06, 49.08it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 51.50it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:06, 47.78it/s]
Loading 0:  12%|█▏        | 42/363 [00:00<00:06, 46.07it/s]
Loading 0:  13%|█▎        | 49/363 [00:00<00:06, 50.73it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 47.19it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:08, 35.47it/s]
Loading 0:  18%|█▊        | 66/363 [00:01<00:08, 36.75it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:07, 40.55it/s]
Loading 0:  21%|██        | 77/363 [00:01<00:06, 42.58it/s]
Loading 0:  23%|██▎       | 82/363 [00:01<00:07, 37.35it/s]
Loading 0:  25%|██▍       | 90/363 [00:02<00:06, 45.09it/s]
Loading 0:  26%|██▋       | 96/363 [00:02<00:06, 43.06it/s]
Loading 0:  28%|██▊       | 101/363 [00:02<00:06, 42.47it/s]
Loading 0:  29%|██▉       | 106/363 [00:02<00:05, 44.24it/s]
Loading 0:  31%|███       | 112/363 [00:02<00:05, 48.04it/s]
Loading 0:  32%|███▏      | 117/363 [00:02<00:05, 45.36it/s]
Loading 0:  34%|███▎      | 122/363 [00:02<00:05, 46.41it/s]
Loading 0:  35%|███▍      | 127/363 [00:02<00:06, 38.17it/s]
Loading 0:  37%|███▋      | 134/363 [00:03<00:05, 44.74it/s]
Loading 0:  38%|███▊      | 139/363 [00:03<00:05, 43.95it/s]
Loading 0:  40%|███▉      | 144/363 [00:03<00:07, 27.53it/s]
Loading 0:  41%|████      | 149/363 [00:03<00:07, 30.10it/s]
Loading 0:  43%|████▎     | 156/363 [00:03<00:05, 37.51it/s]
Loading 0:  44%|████▍     | 161/363 [00:03<00:05, 39.28it/s]
Loading 0:  46%|████▌     | 166/363 [00:03<00:04, 40.80it/s]
Loading 0:  47%|████▋     | 172/363 [00:04<00:04, 40.27it/s]
Loading 0:  49%|████▉     | 177/363 [00:04<00:04, 39.93it/s]
Loading 0:  50%|█████     | 183/363 [00:04<00:04, 44.23it/s]
Loading 0:  52%|█████▏    | 188/363 [00:04<00:03, 44.42it/s]
Loading 0:  53%|█████▎    | 193/363 [00:04<00:03, 44.40it/s]
Loading 0:  55%|█████▍    | 199/363 [00:04<00:03, 42.67it/s]
Loading 0:  56%|█████▌    | 204/363 [00:04<00:03, 42.22it/s]
Loading 0:  58%|█████▊    | 210/363 [00:04<00:03, 45.64it/s]
Loading 0:  59%|█████▉    | 215/363 [00:05<00:03, 44.78it/s]
Loading 0:  61%|██████    | 221/363 [00:05<00:02, 48.64it/s]
Loading 0:  62%|██████▏   | 226/363 [00:05<00:04, 30.59it/s]
Loading 0:  63%|██████▎   | 230/363 [00:05<00:04, 30.84it/s]
Loading 0:  65%|██████▌   | 237/363 [00:05<00:03, 38.76it/s]
Loading 0:  67%|██████▋   | 242/363 [00:05<00:02, 40.45it/s]
Loading 0:  68%|██████▊   | 247/363 [00:05<00:02, 41.84it/s]
Loading 0:  70%|██████▉   | 253/363 [00:06<00:02, 41.50it/s]
Loading 0:  71%|███████   | 258/363 [00:06<00:02, 40.91it/s]
Loading 0:  73%|███████▎  | 264/363 [00:06<00:02, 44.78it/s]
Loading 0:  74%|███████▍  | 269/363 [00:06<00:02, 44.36it/s]
Loading 0:  75%|███████▌  | 274/363 [00:06<00:01, 44.72it/s]
Loading 0:  77%|███████▋  | 279/363 [00:06<00:01, 45.17it/s]
Loading 0:  78%|███████▊  | 284/363 [00:06<00:02, 37.77it/s]
Loading 0:  80%|████████  | 291/363 [00:06<00:01, 45.18it/s]
Loading 0:  82%|████████▏ | 296/363 [00:07<00:01, 45.22it/s]
Loading 0:  83%|████████▎ | 302/363 [00:07<00:01, 48.71it/s]
Loading 0:  85%|████████▍ | 308/363 [00:13<00:20,  2.71it/s]
Loading 0:  86%|████████▌ | 312/363 [00:14<00:14,  3.44it/s]
Loading 0:  88%|████████▊ | 320/363 [00:14<00:07,  5.53it/s]
Loading 0:  90%|████████▉ | 326/363 [00:14<00:04,  7.46it/s]
Loading 0:  91%|█████████ | 331/363 [00:14<00:03,  9.51it/s]
Loading 0:  93%|█████████▎| 338/363 [00:14<00:01, 13.45it/s]
Loading 0:  95%|█████████▍| 344/363 [00:14<00:01, 16.84it/s]
Loading 0:  96%|█████████▌| 349/363 [00:14<00:00, 19.96it/s]
Loading 0:  98%|█████████▊| 356/363 [00:14<00:00, 26.11it/s]
Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 29.31it/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-v21-mkmlizer:   warnings.warn(
mistralai-mistral-nemo-9330-v21-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-v21-mkmlizer:   warnings.warn(
mistralai-mistral-nemo-9330-v21-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-v21-mkmlizer:   warnings.warn(
mistralai-mistral-nemo-9330-v21-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mistral-nemo-9330-v21-mkmlizer: Saving duration: 0.344s
mistralai-mistral-nemo-9330-v21-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.534s
mistralai-mistral-nemo-9330-v21-mkmlizer: creating bucket guanaco-reward-models
mistralai-mistral-nemo-9330-v21-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v21_reward/tokenizer_config.json
mistralai-mistral-nemo-9330-v21-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v21_reward/special_tokens_map.json
mistralai-mistral-nemo-9330-v21-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v21_reward/config.json
mistralai-mistral-nemo-9330-v21-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v21_reward/merges.txt
mistralai-mistral-nemo-9330-v21-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v21_reward/vocab.json
mistralai-mistral-nemo-9330-v21-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v21_reward/tokenizer.json
mistralai-mistral-nemo-9330-v21-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v21_reward/reward.tensors
Job mistralai-mistral-nemo-9330-v21-mkmlizer completed after 125.88s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v21-mkmlizer
Pipeline stage MKMLizer completed in 127.79s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mistral-nemo-9330-v21
Waiting for inference service mistralai-mistral-nemo-9330-v21 to be ready
Failed to get response for submission sao10k-hydrochoerus-12b-v1-s1_v3: ('http://sao10k-hydrochoerus-12b-v1-s1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Failed to get response for submission sao10k-hydrochoerus-12b-v1-s1_v3: ('http://sao10k-hydrochoerus-12b-v1-s1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Failed to get response for submission sao10k-hydrochoerus-12b-v1-s1_v3: ('http://sao10k-hydrochoerus-12b-v1-s1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Inference service mistralai-mistral-nemo-9330-v21 ready after 151.09137725830078s
Pipeline stage ISVCDeployer completed in 152.85s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.427715301513672s
Received healthy response to inference request in 1.5736939907073975s
Received healthy response to inference request in 1.6209368705749512s
Received healthy response to inference request in 1.6911630630493164s
Received healthy response to inference request in 1.630368947982788s
5 requests
0 failed requests
5th percentile: 1.5831425666809082
10th percentile: 1.592591142654419
20th percentile: 1.6114882946014404
30th percentile: 1.6228232860565186
40th percentile: 1.6265961170196532
50th percentile: 1.630368947982788
60th percentile: 1.6546865940093993
70th percentile: 1.6790042400360108
80th percentile: 1.8384735107421877
90th percentile: 2.1330944061279298
95th percentile: 2.2804048538208006
99th percentile: 2.3982532119750974
mean time: 1.788775634765625
Pipeline stage StressChecker completed in 9.67s
mistralai-mistral-nemo-_9330_v21 status is now deployed due to DeploymentManager action
mistralai-mistral-nemo-_9330_v21 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of mistralai-mistral-nemo-_9330_v21
Running pipeline stage ISVCDeleter
Checking if service mistralai-mistral-nemo-9330-v21 is running
Tearing down inference service mistralai-mistral-nemo-9330-v21
Service mistralai-mistral-nemo-9330-v21 has been torndown
Pipeline stage ISVCDeleter completed in 5.00s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key mistralai-mistral-nemo-9330-v21/config.json from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v21/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v21/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v21/tokenizer.json from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v21/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key mistralai-mistral-nemo-9330-v21_reward/config.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v21_reward/merges.txt from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v21_reward/reward.tensors from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v21_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v21_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v21_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v21_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.66s
mistralai-mistral-nemo-_9330_v21 status is now torndown due to DeploymentManager action