developer_uid: azuruce
submission_id: chaiml-mistral-nemo-simp_5576_v1
model_name: chaiml-mistral-nemo-simp_5576_v1
model_group: ChaiML/mistral_nemo_simp
status: inactive
timestamp: 2024-12-13T22:47:20+00:00
num_battles: 16237
num_wins: 7299
celo_rating: 1223.76
family_friendly_score: 0.573
family_friendly_standard_error: 0.006995298421082549
submission_type: basic
model_repo: ChaiML/mistral_nemo_simpo_baseline_albert_241212_5k_v5_rerun
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.635572653035772, 'latency_mean': 1.5732862555980682, 'latency_p50': 1.5633106231689453, 'latency_p90': 1.749773097038269}, {'batch_size': 3, 'throughput': 1.248946941800535, 'latency_mean': 2.3900359094142916, 'latency_p50': 2.418117046356201, 'latency_p90': 2.648065519332886}, {'batch_size': 5, 'throughput': 1.5881563505512741, 'latency_mean': 3.141504776477814, 'latency_p50': 3.1329761743545532, 'latency_p90': 3.5511101484298706}, {'batch_size': 6, 'throughput': 1.6958794765243974, 'latency_mean': 3.522489755153656, 'latency_p50': 3.520755648612976, 'latency_p90': 3.8676453828811646}, {'batch_size': 8, 'throughput': 1.8488979609096758, 'latency_mean': 4.295433653593063, 'latency_p50': 4.319511890411377, 'latency_p90': 4.843371868133545}, {'batch_size': 10, 'throughput': 1.9405942485066465, 'latency_mean': 5.1153655588626865, 'latency_p50': 5.156702280044556, 'latency_p90': 5.761199712753296}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-mistral-nemo-simp_5576_v1
is_internal_developer: True
language_model: ChaiML/mistral_nemo_simpo_baseline_albert_241212_5k_v5_rerun
model_size: 13B
ranking_group: single
throughput_3p7s: 1.75
us_pacific_date: 2024-12-13
win_ratio: 0.4495288538523126
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '####', 'Bot:', 'User:', 'You:', '<|im_end|>', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-mistral-nemo-simp-5576-v1-mkmlizer
Waiting for job on chaiml-mistral-nemo-simp-5576-v1-mkmlizer to finish
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ║ _____ __ __ ║
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ║ /___/ ║
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ║ Version: 0.11.12 ║
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ║ belonging to: ║
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: Downloaded to shared memory in 40.689s
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdhc7ejhy, device:0
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission function_lijit_2024-11-26: ('http://chaiml-elo-alignment-run-3-v44-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:42798->127.0.0.1:8080: read: connection reset by peer\n')
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: quantized model in 35.800s
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: Processed model ChaiML/mistral_nemo_simpo_baseline_albert_241212_5k_v5_rerun in 76.489s
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-5576-v1
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-5576-v1/config.json
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-5576-v1/special_tokens_map.json
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-5576-v1/tokenizer_config.json
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-5576-v1/tokenizer.json
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-5576-v1/flywheel_model.0.safetensors
chaiml-mistral-nemo-simp-5576-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:12, 29.20it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:07, 49.22it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:07, 44.93it/s] Loading 0: 7%|▋ | 24/363 [00:00<00:07, 43.93it/s] Loading 0: 9%|▊ | 31/363 [00:00<00:06, 49.93it/s] Loading 0: 10%|█ | 37/363 [00:00<00:07, 45.41it/s] Loading 0: 12%|█▏ | 42/363 [00:00<00:07, 43.39it/s] Loading 0: 13%|█▎ | 49/363 [00:01<00:06, 48.02it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:07, 43.68it/s] Loading 0: 17%|█▋ | 61/363 [00:01<00:09, 33.54it/s] Loading 0: 18%|█▊ | 65/363 [00:01<00:08, 33.19it/s] Loading 0: 20%|█▉ | 72/363 [00:01<00:07, 39.49it/s] Loading 0: 21%|██▏ | 78/363 [00:01<00:07, 39.77it/s] Loading 0: 23%|██▎ | 83/363 [00:02<00:07, 39.98it/s] Loading 0: 25%|██▍ | 89/363 [00:02<00:06, 44.12it/s] Loading 0: 26%|██▌ | 94/363 [00:02<00:06, 42.98it/s] Loading 0: 27%|██▋ | 99/363 [00:02<00:06, 43.02it/s] Loading 0: 29%|██▊ | 104/363 [00:02<00:05, 43.67it/s] Loading 0: 30%|███ | 109/363 [00:02<00:05, 44.31it/s] Loading 0: 31%|███▏ | 114/363 [00:02<00:06, 36.89it/s] Loading 0: 33%|███▎ | 118/363 [00:02<00:06, 35.09it/s] Loading 0: 35%|███▍ | 126/363 [00:03<00:05, 43.71it/s] Loading 0: 36%|███▌ | 131/363 [00:03<00:05, 44.94it/s] Loading 0: 37%|███▋ | 136/363 [00:03<00:06, 37.25it/s] Loading 0: 39%|███▉ | 142/363 [00:03<00:07, 31.30it/s] Loading 0: 40%|████ | 146/363 [00:03<00:06, 32.25it/s] Loading 0: 41%|████▏ | 150/363 [00:03<00:06, 30.61it/s] Loading 0: 43%|████▎ | 156/363 [00:03<00:05, 36.27it/s] Loading 0: 44%|████▍ | 160/363 [00:04<00:05, 36.34it/s] Loading 0: 46%|████▌ | 166/363 [00:04<00:04, 40.47it/s] Loading 0: 47%|████▋ | 171/363 [00:04<00:04, 42.55it/s] Loading 0: 48%|████▊ | 176/363 [00:04<00:05, 36.24it/s] Loading 0: 50%|█████ | 183/363 [00:04<00:04, 43.42it/s] Loading 0: 52%|█████▏ | 188/363 [00:04<00:04, 43.39it/s] Loading 0: 53%|█████▎ | 193/363 [00:04<00:03, 44.55it/s] Loading 0: 55%|█████▍ | 199/363 [00:04<00:03, 41.87it/s] Loading 0: 56%|█████▌ | 204/363 [00:05<00:03, 39.82it/s] Loading 0: 58%|█████▊ | 210/363 [00:05<00:03, 44.67it/s] Loading 0: 59%|█████▉ | 215/363 [00:05<00:03, 43.82it/s] Loading 0: 61%|██████ | 220/363 [00:05<00:03, 45.35it/s] Loading 0: 62%|██████▏ | 225/363 [00:05<00:04, 28.20it/s] Loading 0: 63%|██████▎ | 230/363 [00:05<00:04, 30.67it/s] Loading 0: 66%|██████▌ | 238/363 [00:06<00:03, 39.19it/s] Loading 0: 67%|██████▋ | 244/363 [00:06<00:03, 38.80it/s] Loading 0: 69%|██████▊ | 249/363 [00:06<00:02, 38.75it/s] Loading 0: 70%|███████ | 255/363 [00:06<00:02, 42.74it/s] Loading 0: 72%|███████▏ | 260/363 [00:06<00:02, 42.60it/s] Loading 0: 73%|███████▎ | 265/363 [00:06<00:02, 43.47it/s] Loading 0: 75%|███████▍ | 271/363 [00:06<00:02, 41.59it/s] Loading 0: 76%|███████▌ | 276/363 [00:06<00:02, 41.14it/s] Loading 0: 78%|███████▊ | 283/363 [00:07<00:01, 46.18it/s] Loading 0: 80%|███████▉ | 289/363 [00:07<00:01, 43.59it/s] Loading 0: 81%|████████ | 294/363 [00:07<00:01, 42.49it/s] Loading 0: 83%|████████▎ | 300/363 [00:07<00:01, 46.57it/s] Loading 0: 84%|████████▍ | 305/363 [00:14<00:22, 2.62it/s] Loading 0: 85%|████████▌ | 309/363 [00:14<00:16, 3.34it/s] Loading 0: 86%|████████▌ | 313/363 [00:14<00:11, 4.33it/s] Loading 0: 88%|████████▊ | 320/363 [00:14<00:06, 6.75it/s] Loading 0: 90%|████████▉ | 326/363 [00:14<00:04, 9.16it/s] Loading 0: 91%|█████████ | 330/363 [00:14<00:02, 11.07it/s] Loading 0: 93%|█████████▎| 338/363 [00:14<00:01, 16.77it/s] Loading 0: 95%|█████████▍| 344/363 [00:15<00:00, 20.29it/s] Loading 0: 96%|█████████▌| 349/363 [00:15<00:00, 23.55it/s] Loading 0: 98%|█████████▊| 356/363 [00:15<00:00, 29.92it/s] Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 32.35it/s]
Job chaiml-mistral-nemo-simp-5576-v1-mkmlizer completed after 104.99s with status: succeeded
Stopping job with name chaiml-mistral-nemo-simp-5576-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.57s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral-nemo-simp-5576-v1
Waiting for inference service chaiml-mistral-nemo-simp-5576-v1 to be ready
Inference service chaiml-mistral-nemo-simp-5576-v1 ready after 201.17040586471558s
Pipeline stage MKMLDeployer completed in 201.78s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7643969058990479s
Received healthy response to inference request in 1.366365909576416s
Received healthy response to inference request in 1.4005086421966553s
Received healthy response to inference request in 1.2931060791015625s
Received healthy response to inference request in 1.805861234664917s
5 requests
0 failed requests
5th percentile: 1.3077580451965332
10th percentile: 1.3224100112915038
20th percentile: 1.3517139434814454
30th percentile: 1.3731944561004639
40th percentile: 1.3868515491485596
50th percentile: 1.4005086421966553
60th percentile: 1.5460639476776123
70th percentile: 1.6916192531585692
80th percentile: 1.7726897716522216
90th percentile: 1.7892755031585694
95th percentile: 1.7975683689117432
99th percentile: 1.8042026615142823
mean time: 1.5260477542877198
Pipeline stage StressChecker completed in 9.03s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 2.54s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 2.34s
Shutdown handler de-registered
chaiml-mistral-nemo-simp_5576_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2416.05s
Shutdown handler de-registered
chaiml-mistral-nemo-simp_5576_v1 status is now inactive due to auto deactivation removed underperforming models