chaiml-mistral-nemo-dpo-_2408

developer_uid: azuruce

submission_id: chaiml-mistral-nemo-dpo-_2408_v3

model_name: chaiml-mistral-nemo-dpo-_2408_v3

model_group: ChaiML/mistral_nemo_dpo_

status: inactive

timestamp: 2024-12-19T18:08:11+00:00

num_battles: 13456

num_wins: 6940

celo_rating: 1273.91

family_friendly_score: 0.5758

family_friendly_standard_error: 0.006989339882993243

submission_type: basic

model_repo: ChaiML/mistral_nemo_dpo_241217_albert_v1-checkpoint-6240

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6127301916011676, 'latency_mean': 1.6319731879234314, 'latency_p50': 1.64129638671875, 'latency_p90': 1.810764694213867}, {'batch_size': 3, 'throughput': 1.1398424791808723, 'latency_mean': 2.6287617075443266, 'latency_p50': 2.6395598649978638, 'latency_p90': 2.900882029533386}, {'batch_size': 5, 'throughput': 1.374472533191753, 'latency_mean': 3.621492269039154, 'latency_p50': 3.626503586769104, 'latency_p90': 4.1176760435104365}, {'batch_size': 6, 'throughput': 1.4564794675691473, 'latency_mean': 4.089146325588226, 'latency_p50': 4.094209551811218, 'latency_p90': 4.580611324310302}, {'batch_size': 8, 'throughput': 1.5196746713073506, 'latency_mean': 5.232714169025421, 'latency_p50': 5.254907608032227, 'latency_p90': 5.854014563560486}, {'batch_size': 10, 'throughput': 1.556330910946018, 'latency_mean': 6.384509189128876, 'latency_p50': 6.348823189735413, 'latency_p90': 7.2416942596435545}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: chaiml-mistral-nemo-dpo-_2408_v3

is_internal_developer: True

language_model: ChaiML/mistral_nemo_dpo_241217_albert_v1-checkpoint-6240

model_size: 13B

ranking_group: single

throughput_3p7s: 1.4

us_pacific_date: 2024-12-19

win_ratio: 0.5157550535077289

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': 8, '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-dpo-2408-v3-mkmlizer
Waiting for job on chaiml-mistral-nemo-dpo-2408-v3-mkmlizer to finish
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ║     _____            __           __                                ║
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ║       /___/                                                         ║
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ║  Version: 0.11.12                                                   ║
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: Downloaded to shared memory in 30.686s
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4yl0k86h, device:0
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: quantized model in 35.881s
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: Processed model ChaiML/mistral_nemo_dpo_241217_albert_v1-checkpoint-6240 in 66.567s
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-2408-v3
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-2408-v3/config.json
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-2408-v3/special_tokens_map.json
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-2408-v3/tokenizer_config.json
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-2408-v3/tokenizer.json
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-2408-v3/flywheel_model.0.safetensors
chaiml-mistral-nemo-dpo-2408-v3-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:12, 28.53it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:06, 50.39it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 48.65it/s]
Loading 0:   7%|▋         | 25/363 [00:00<00:06, 50.11it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 52.60it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:06, 50.35it/s]
Loading 0:  12%|█▏        | 43/363 [00:00<00:06, 50.92it/s]
Loading 0:  13%|█▎        | 49/363 [00:00<00:05, 52.93it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 50.01it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:08, 36.36it/s]
Loading 0:  18%|█▊        | 66/363 [00:01<00:08, 36.51it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:07, 40.37it/s]
Loading 0:  21%|██▏       | 78/363 [00:01<00:07, 40.63it/s]
Loading 0:  23%|██▎       | 83/363 [00:01<00:06, 40.92it/s]
Loading 0:  25%|██▍       | 90/363 [00:02<00:05, 46.39it/s]
Loading 0:  26%|██▋       | 96/363 [00:02<00:05, 44.57it/s]
Loading 0:  28%|██▊       | 101/363 [00:02<00:05, 43.78it/s]
Loading 0:  29%|██▉       | 106/363 [00:02<00:05, 44.78it/s]
Loading 0:  31%|███       | 112/363 [00:02<00:05, 47.85it/s]
Loading 0:  32%|███▏      | 117/363 [00:02<00:05, 45.59it/s]
Loading 0:  34%|███▍      | 123/363 [00:02<00:05, 45.24it/s]
Loading 0:  35%|███▌      | 128/363 [00:02<00:05, 45.07it/s]
Loading 0:  37%|███▋      | 135/363 [00:02<00:04, 50.54it/s]
Loading 0:  39%|███▉      | 141/363 [00:03<00:04, 49.72it/s]
Loading 0:  40%|████      | 147/363 [00:03<00:06, 34.10it/s]
Loading 0:  42%|████▏     | 152/363 [00:03<00:05, 36.53it/s]
Loading 0:  43%|████▎     | 157/363 [00:03<00:05, 37.98it/s]
Loading 0:  45%|████▍     | 162/363 [00:03<00:04, 40.62it/s]
Loading 0:  46%|████▌     | 167/363 [00:03<00:05, 35.01it/s]
Loading 0:  48%|████▊     | 175/363 [00:04<00:04, 43.88it/s]
Loading 0:  50%|████▉     | 181/363 [00:04<00:04, 43.18it/s]
Loading 0:  51%|█████     | 186/363 [00:04<00:04, 41.90it/s]
Loading 0:  53%|█████▎    | 193/363 [00:04<00:03, 47.60it/s]
Loading 0:  55%|█████▍    | 199/363 [00:04<00:03, 45.38it/s]
Loading 0:  56%|█████▌    | 204/363 [00:04<00:03, 44.61it/s]
Loading 0:  58%|█████▊    | 211/363 [00:04<00:03, 49.37it/s]
Loading 0:  60%|█████▉    | 217/363 [00:04<00:03, 44.92it/s]
Loading 0:  61%|██████▏   | 223/363 [00:05<00:04, 34.65it/s]
Loading 0:  63%|██████▎   | 227/363 [00:05<00:03, 34.37it/s]
Loading 0:  64%|██████▎   | 231/363 [00:05<00:04, 32.29it/s]
Loading 0:  65%|██████▌   | 237/363 [00:05<00:03, 36.87it/s]
Loading 0:  66%|██████▋   | 241/363 [00:05<00:03, 35.02it/s]
Loading 0:  68%|██████▊   | 246/363 [00:05<00:03, 37.46it/s]
Loading 0:  69%|██████▉   | 250/363 [00:05<00:03, 37.22it/s]
Loading 0:  70%|███████   | 255/363 [00:06<00:02, 40.43it/s]
Loading 0:  72%|███████▏  | 260/363 [00:06<00:02, 41.29it/s]
Loading 0:  73%|███████▎  | 265/363 [00:06<00:02, 43.11it/s]
Loading 0:  75%|███████▍  | 271/363 [00:06<00:02, 41.80it/s]
Loading 0:  76%|███████▌  | 276/363 [00:06<00:02, 40.72it/s]
Loading 0:  77%|███████▋  | 281/363 [00:06<00:01, 42.77it/s]
Loading 0:  79%|███████▉  | 286/363 [00:06<00:01, 41.40it/s]
Loading 0:  80%|████████  | 292/363 [00:06<00:01, 44.30it/s]
Loading 0:  82%|████████▏ | 298/363 [00:07<00:01, 42.57it/s]
Loading 0:  84%|████████▎ | 304/363 [00:13<00:22,  2.67it/s]
Loading 0:  85%|████████▍ | 308/363 [00:13<00:16,  3.38it/s]
Loading 0:  86%|████████▌ | 312/363 [00:14<00:11,  4.37it/s]
Loading 0:  88%|████████▊ | 320/363 [00:14<00:05,  7.20it/s]
Loading 0:  90%|████████▉ | 326/363 [00:14<00:03,  9.75it/s]
Loading 0:  91%|█████████ | 331/363 [00:14<00:02, 12.40it/s]
Loading 0:  93%|█████████▎| 338/363 [00:14<00:01, 17.34it/s]
Loading 0:  95%|█████████▍| 344/363 [00:14<00:00, 20.65it/s]
Loading 0:  96%|█████████▌| 349/363 [00:14<00:00, 24.06it/s]
Loading 0:  98%|█████████▊| 356/363 [00:14<00:00, 30.88it/s]
Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 33.72it/s]
                                                            
Job chaiml-mistral-nemo-dpo-2408-v3-mkmlizer completed after 94.34s with status: succeeded
Stopping job with name chaiml-mistral-nemo-dpo-2408-v3-mkmlizer
Pipeline stage MKMLizer completed in 94.88s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral-nemo-dpo-2408-v3
Waiting for inference service chaiml-mistral-nemo-dpo-2408-v3 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service chaiml-mistral-nemo-dpo-2408-v3 ready after 250.95909214019775s
Pipeline stage MKMLDeployer completed in 251.53s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.033587694168091s
Received healthy response to inference request in 0.8283205032348633s
Received healthy response to inference request in 1.5991244316101074s
Received healthy response to inference request in 1.4964568614959717s
Received healthy response to inference request in 1.6823854446411133s
5 requests
0 failed requests
5th percentile: 0.9619477748870849
10th percentile: 1.0955750465393066
20th percentile: 1.36282958984375
30th percentile: 1.5169903755187988
40th percentile: 1.5580574035644532
50th percentile: 1.5991244316101074
60th percentile: 1.6324288368225097
70th percentile: 1.665733242034912
80th percentile: 1.752625894546509
90th percentile: 1.8931067943573
95th percentile: 1.9633472442626951
99th percentile: 2.0195396041870115
mean time: 1.5279749870300292
Pipeline stage StressChecker completed in 8.90s
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 2.21s
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 2.23s
Shutdown handler de-registered
chaiml-mistral-nemo-dpo-_2408_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.08s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-mistral-nemo-dpo-2408-v3-profiler
Waiting for inference service chaiml-mistral-nemo-dpo-2408-v3-profiler to be ready
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 3100.99s
Shutdown handler de-registered
chaiml-mistral-nemo-dpo-_2408_v3 status is now inactive due to auto deactivation removed underperforming models