submission_id: mistralai-mistral-nemo-_9330_v37
developer_uid: zonemercy
alignment_samples: 0
best_of: 1
celo_rating: 1161.5
display_name: mistralai-mistral-nemo-_9330_v37
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': 0.3, '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}
is_internal_developer: True
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: mistralai-mistral-nemo-_9330_v37
model_num_parameters: 12772070400.0
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
num_battles: 12194
num_wins: 5447
propriety_score: 0.7397129186602871
propriety_total_count: 1045.0
ranking_group: single
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'}
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-02T03:22:03+00:00
us_pacific_date: 2024-08-01
win_ratio: 0.4466950959488273
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v37-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v37-mkmlizer to finish
mistralai-mistral-nemo-9330-v37-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v37-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nemo-9330-v37-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nemo-9330-v37-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nemo-9330-v37-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nemo-9330-v37-mkmlizer: ║ /___/ ║
mistralai-mistral-nemo-9330-v37-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v37-mkmlizer: ║ Version: 0.9.9 ║
mistralai-mistral-nemo-9330-v37-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nemo-9330-v37-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nemo-9330-v37-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v37-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nemo-9330-v37-mkmlizer: ║ belonging to: ║
mistralai-mistral-nemo-9330-v37-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v37-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nemo-9330-v37-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nemo-9330-v37-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
mistralai-mistral-nemo-9330-v37-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v37-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v37-mkmlizer: Downloaded to shared memory in 50.573s
mistralai-mistral-nemo-9330-v37-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8kduvbyk, device:0
mistralai-mistral-nemo-9330-v37-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v37-mkmlizer: quantized model in 35.596s
mistralai-mistral-nemo-9330-v37-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 86.169s
mistralai-mistral-nemo-9330-v37-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v37-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v37-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v37
mistralai-mistral-nemo-9330-v37-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v37/config.json
mistralai-mistral-nemo-9330-v37-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v37/special_tokens_map.json
mistralai-mistral-nemo-9330-v37-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v37/tokenizer_config.json
mistralai-mistral-nemo-9330-v37-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v37/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v37-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
mistralai-mistral-nemo-9330-v37-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:10, 33.95it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:06, 54.00it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:07, 48.03it/s] Loading 0: 7%|▋ | 24/363 [00:00<00:07, 46.04it/s] Loading 0: 9%|▊ | 31/363 [00:00<00:06, 52.14it/s] Loading 0: 10%|█ | 37/363 [00:00<00:06, 48.30it/s] Loading 0: 12%|█▏ | 42/363 [00:00<00:06, 46.55it/s] Loading 0: 13%|█▎ | 49/363 [00:00<00:06, 51.56it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 47.38it/s] Loading 0: 17%|█▋ | 61/363 [00:01<00:08, 35.65it/s] Loading 0: 18%|█▊ | 66/363 [00:01<00:08, 37.11it/s] Loading 0: 20%|█▉ | 72/363 [00:01<00:07, 41.18it/s] Loading 0: 21%|██▏ | 78/363 [00:01<00:07, 40.57it/s] Loading 0: 23%|██▎ | 83/363 [00:01<00:07, 39.73it/s] Loading 0: 25%|██▍ | 90/363 [00:02<00:06, 45.11it/s] Loading 0: 26%|██▋ | 96/363 [00:02<00:06, 43.53it/s] Loading 0: 28%|██▊ | 101/363 [00:02<00:06, 42.89it/s] Loading 0: 30%|██▉ | 108/363 [00:02<00:05, 49.03it/s] Loading 0: 31%|███▏ | 114/363 [00:02<00:05, 42.37it/s] Loading 0: 33%|███▎ | 119/363 [00:02<00:05, 41.68it/s] Loading 0: 35%|███▍ | 126/363 [00:02<00:05, 46.17it/s] Loading 0: 36%|███▋ | 132/363 [00:03<00:05, 43.83it/s] Loading 0: 38%|███▊ | 137/363 [00:03<00:05, 42.34it/s] Loading 0: 39%|███▉ | 142/363 [00:03<00:06, 32.25it/s] Loading 0: 40%|████ | 146/363 [00:03<00:06, 33.38it/s] Loading 0: 41%|████▏ | 150/363 [00:03<00:06, 32.48it/s] Loading 0: 43%|████▎ | 156/363 [00:03<00:05, 38.14it/s] Loading 0: 44%|████▍ | 161/363 [00:03<00:05, 39.95it/s] Loading 0: 46%|████▌ | 166/363 [00:03<00:04, 41.27it/s] Loading 0: 47%|████▋ | 172/363 [00:04<00:04, 40.70it/s] Loading 0: 49%|████▉ | 177/363 [00:04<00:04, 40.55it/s] Loading 0: 51%|█████ | 184/363 [00:04<00:03, 45.58it/s] Loading 0: 52%|█████▏ | 189/363 [00:04<00:03, 46.46it/s] Loading 0: 53%|█████▎ | 194/363 [00:04<00:04, 39.16it/s] Loading 0: 55%|█████▌ | 201/363 [00:04<00:03, 45.52it/s] Loading 0: 57%|█████▋ | 206/363 [00:04<00:03, 45.45it/s] Loading 0: 58%|█████▊ | 211/363 [00:04<00:03, 44.42it/s] Loading 0: 60%|█████▉ | 216/363 [00:05<00:03, 45.29it/s] Loading 0: 61%|██████ | 222/363 [00:05<00:03, 43.49it/s] Loading 0: 63%|██████▎ | 227/363 [00:05<00:04, 31.78it/s] Loading 0: 64%|██████▎ | 231/363 [00:05<00:04, 31.85it/s] Loading 0: 65%|██████▌ | 237/363 [00:05<00:03, 37.10it/s] Loading 0: 67%|██████▋ | 242/363 [00:05<00:03, 38.62it/s] Loading 0: 68%|██████▊ | 247/363 [00:05<00:02, 40.16it/s] Loading 0: 70%|██████▉ | 253/363 [00:06<00:02, 39.78it/s] Loading 0: 71%|███████ | 258/363 [00:06<00:02, 39.63it/s] Loading 0: 73%|███████▎ | 264/363 [00:06<00:02, 44.16it/s] Loading 0: 74%|███████▍ | 269/363 [00:06<00:02, 44.39it/s] Loading 0: 75%|███████▌ | 274/363 [00:06<00:01, 44.63it/s] Loading 0: 77%|███████▋ | 279/363 [00:06<00:01, 45.44it/s] Loading 0: 78%|███████▊ | 284/363 [00:06<00:02, 38.43it/s] Loading 0: 80%|████████ | 291/363 [00:06<00:01, 45.96it/s] Loading 0: 82%|████████▏ | 296/363 [00:07<00:01, 46.11it/s] Loading 0: 83%|████████▎ | 301/363 [00:07<00:01, 46.94it/s] Loading 0: 84%|████████▍ | 306/363 [00:13<00:22, 2.50it/s] Loading 0: 86%|████████▌ | 311/363 [00:13<00:15, 3.44it/s] Loading 0: 87%|████████▋ | 315/363 [00:14<00:10, 4.44it/s] Loading 0: 88%|████████▊ | 320/363 [00:14<00:06, 6.16it/s] Loading 0: 90%|████████▉ | 326/363 [00:14<00:04, 8.74it/s] Loading 0: 91%|█████████ | 331/363 [00:14<00:02, 11.35it/s] Loading 0: 93%|█████████▎| 338/363 [00:14<00:01, 16.30it/s] Loading 0: 95%|█████████▍| 344/363 [00:14<00:00, 20.01it/s] Loading 0: 96%|█████████▌| 349/363 [00:14<00:00, 23.25it/s] Loading 0: 98%|█████████▊| 356/363 [00:14<00:00, 29.57it/s] Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 32.44it/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-v37-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v37-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-v37-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v37-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.28s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 3.93s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.13s/it]
mistralai-mistral-nemo-9330-v37-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.30it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.86it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.50it/s]
mistralai-mistral-nemo-9330-v37-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mistral-nemo-9330-v37-mkmlizer: creating bucket guanaco-reward-models
mistralai-mistral-nemo-9330-v37-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mistral-nemo-9330-v37-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v37_reward
mistralai-mistral-nemo-9330-v37-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v37_reward/config.json
mistralai-mistral-nemo-9330-v37-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v37_reward/special_tokens_map.json
mistralai-mistral-nemo-9330-v37-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v37_reward/tokenizer_config.json
mistralai-mistral-nemo-9330-v37-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v37_reward/merges.txt
mistralai-mistral-nemo-9330-v37-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v37_reward/vocab.json
mistralai-mistral-nemo-9330-v37-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v37_reward/tokenizer.json
mistralai-mistral-nemo-9330-v37-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v37_reward/reward.tensors
Job mistralai-mistral-nemo-9330-v37-mkmlizer completed after 127.35s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v37-mkmlizer
Pipeline stage MKMLizer completed in 128.76s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mistral-nemo-9330-v37
Waiting for inference service mistralai-mistral-nemo-9330-v37 to be ready
Inference service mistralai-mistral-nemo-9330-v37 ready after 141.02973008155823s
Pipeline stage ISVCDeployer completed in 142.83s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8267459869384766s
Received healthy response to inference request in 0.8315975666046143s
Received healthy response to inference request in 0.844022274017334s
Received healthy response to inference request in 0.8337693214416504s
Received healthy response to inference request in 0.8480672836303711s
5 requests
0 failed requests
5th percentile: 0.8320319175720214
10th percentile: 0.8324662685394287
20th percentile: 0.8333349704742432
30th percentile: 0.8358199119567871
40th percentile: 0.8399210929870605
50th percentile: 0.844022274017334
60th percentile: 0.8456402778625488
70th percentile: 0.8472582817077636
80th percentile: 1.0438030242919925
90th percentile: 1.4352745056152345
95th percentile: 1.6310102462768552
99th percentile: 1.7875988388061523
mean time: 1.0368404865264893
Pipeline stage StressChecker completed in 5.89s
mistralai-mistral-nemo-_9330_v37 status is now deployed due to DeploymentManager action
mistralai-mistral-nemo-_9330_v37 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of mistralai-mistral-nemo-_9330_v37
Running pipeline stage ISVCDeleter
Checking if service mistralai-mistral-nemo-9330-v37 is running
Tearing down inference service mistralai-mistral-nemo-9330-v37
Service mistralai-mistral-nemo-9330-v37 has been torndown
Pipeline stage ISVCDeleter completed in 4.49s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key mistralai-mistral-nemo-9330-v37/config.json from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v37/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v37/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v37/tokenizer.json from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v37/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key mistralai-mistral-nemo-9330-v37_reward/config.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v37_reward/merges.txt from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v37_reward/reward.tensors from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v37_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v37_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v37_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v37_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.86s
mistralai-mistral-nemo-_9330_v37 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics