developer_uid: azuruce
submission_id: chaiml-mistral-nemo-dpo-_4498_v1
model_name: chaiml-mistral-nemo-dpo-_4498_v1
model_group: ChaiML/mistral_nemo_dpo_
status: inactive
timestamp: 2024-12-19T08:44:58+00:00
num_battles: 10640
num_wins: 5309
celo_rating: 1261.66
family_friendly_score: 0.5718
family_friendly_standard_error: 0.006997781934298896
submission_type: basic
model_repo: ChaiML/mistral_nemo_dpo_241217_albert_v1-checkpoint-4056
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6346234357977257, 'latency_mean': 1.5756663262844086, 'latency_p50': 1.577821969985962, 'latency_p90': 1.7463350772857666}, {'batch_size': 3, 'throughput': 1.2732184545406342, 'latency_mean': 2.3548820877075194, 'latency_p50': 2.330470323562622, 'latency_p90': 2.6508167028427123}, {'batch_size': 5, 'throughput': 1.607861598880192, 'latency_mean': 3.0846236324310303, 'latency_p50': 3.0750732421875, 'latency_p90': 3.447977066040039}, {'batch_size': 6, 'throughput': 1.726568587279978, 'latency_mean': 3.4495246303081513, 'latency_p50': 3.4695394039154053, 'latency_p90': 3.8429577589035033}, {'batch_size': 8, 'throughput': 1.8676297867658, 'latency_mean': 4.254296656847, 'latency_p50': 4.26776647567749, 'latency_p90': 4.805405044555664}, {'batch_size': 10, 'throughput': 1.9599038026132451, 'latency_mean': 5.05894237279892, 'latency_p50': 5.064976215362549, 'latency_p90': 5.734017419815063}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-mistral-nemo-dpo-_4498_v1
is_internal_developer: True
language_model: ChaiML/mistral_nemo_dpo_241217_albert_v1-checkpoint-4056
model_size: 13B
ranking_group: single
throughput_3p7s: 1.79
us_pacific_date: 2024-12-19
win_ratio: 0.49896616541353384
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-dpo-4498-v1-mkmlizer
Waiting for job on chaiml-mistral-nemo-dpo-4498-v1-mkmlizer to finish
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ║ _____ __ __ ║
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ║ /___/ ║
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ║ Version: 0.11.12 ║
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ║ belonging to: ║
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: Downloaded to shared memory in 42.733s
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdka2zh36, device:0
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: quantized model in 35.322s
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: Processed model ChaiML/mistral_nemo_dpo_241217_albert_v1-checkpoint-4056 in 78.055s
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-4498-v1
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-4498-v1/config.json
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-4498-v1/special_tokens_map.json
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-4498-v1/tokenizer_config.json
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-4498-v1/tokenizer.json
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-4498-v1/flywheel_model.0.safetensors
chaiml-mistral-nemo-dpo-4498-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:12, 28.77it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:06, 50.67it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:07, 48.88it/s] Loading 0: 7%|▋ | 25/363 [00:00<00:06, 48.96it/s] Loading 0: 9%|▊ | 31/363 [00:00<00:06, 51.70it/s] Loading 0: 10%|█ | 37/363 [00:00<00:06, 49.47it/s] Loading 0: 12%|█▏ | 43/363 [00:00<00:06, 48.98it/s] Loading 0: 13%|█▎ | 49/363 [00:00<00:06, 51.18it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 47.29it/s] Loading 0: 17%|█▋ | 60/363 [00:01<00:06, 47.89it/s] Loading 0: 18%|█▊ | 65/363 [00:01<00:09, 30.58it/s] Loading 0: 20%|█▉ | 71/363 [00:01<00:08, 36.26it/s] Loading 0: 21%|██ | 76/363 [00:01<00:07, 37.98it/s] Loading 0: 22%|██▏ | 81/363 [00:01<00:06, 40.57it/s] Loading 0: 24%|██▍ | 87/363 [00:02<00:06, 41.63it/s] Loading 0: 25%|██▌ | 92/363 [00:02<00:06, 42.18it/s] Loading 0: 27%|██▋ | 99/363 [00:02<00:05, 46.71it/s] Loading 0: 29%|██▉ | 105/363 [00:02<00:05, 44.60it/s] Loading 0: 31%|███ | 112/363 [00:02<00:05, 48.48it/s] Loading 0: 32%|███▏ | 117/363 [00:02<00:05, 46.60it/s] Loading 0: 34%|███▍ | 123/363 [00:02<00:05, 45.38it/s] Loading 0: 35%|███▌ | 128/363 [00:02<00:05, 44.33it/s] Loading 0: 37%|███▋ | 135/363 [00:03<00:04, 49.08it/s] Loading 0: 39%|███▉ | 141/363 [00:03<00:04, 47.20it/s] Loading 0: 40%|████ | 146/363 [00:03<00:06, 32.60it/s] Loading 0: 41%|████▏ | 150/363 [00:03<00:06, 32.62it/s] Loading 0: 43%|████▎ | 157/363 [00:03<00:05, 39.57it/s] Loading 0: 45%|████▍ | 163/363 [00:03<00:04, 40.87it/s] Loading 0: 46%|████▋ | 168/363 [00:03<00:04, 41.62it/s] Loading 0: 48%|████▊ | 175/363 [00:04<00:03, 47.32it/s] Loading 0: 50%|████▉ | 181/363 [00:04<00:03, 46.51it/s] Loading 0: 51%|█████ | 186/363 [00:04<00:03, 45.26it/s] Loading 0: 53%|█████▎ | 192/363 [00:04<00:03, 47.81it/s] Loading 0: 54%|█████▍ | 197/363 [00:04<00:03, 47.58it/s] Loading 0: 56%|█████▌ | 202/363 [00:04<00:03, 46.90it/s] Loading 0: 57%|█████▋ | 207/363 [00:04<00:03, 47.41it/s] Loading 0: 58%|█████▊ | 212/363 [00:04<00:03, 38.68it/s] Loading 0: 60%|██████ | 218/363 [00:05<00:03, 43.47it/s] Loading 0: 61%|██████▏ | 223/363 [00:05<00:04, 33.15it/s] Loading 0: 63%|██████▎ | 227/363 [00:05<00:04, 33.85it/s] Loading 0: 64%|██████▎ | 231/363 [00:05<00:03, 33.69it/s] Loading 0: 66%|██████▌ | 238/363 [00:05<00:03, 41.23it/s] Loading 0: 67%|██████▋ | 244/363 [00:05<00:02, 42.10it/s] Loading 0: 69%|██████▊ | 249/363 [00:05<00:02, 40.32it/s] Loading 0: 71%|███████ | 256/363 [00:05<00:02, 45.99it/s] Loading 0: 72%|███████▏ | 262/363 [00:06<00:02, 45.42it/s] Loading 0: 74%|███████▎ | 267/363 [00:06<00:02, 44.32it/s] Loading 0: 75%|███████▌ | 274/363 [00:06<00:01, 48.61it/s] Loading 0: 77%|███████▋ | 280/363 [00:06<00:01, 47.51it/s] Loading 0: 79%|███████▊ | 285/363 [00:06<00:01, 46.88it/s] Loading 0: 80%|████████ | 292/363 [00:06<00:01, 50.57it/s] Loading 0: 82%|████████▏ | 298/363 [00:06<00:01, 48.65it/s] Loading 0: 84%|████████▎ | 304/363 [00:13<00:20, 2.84it/s] Loading 0: 85%|████████▍ | 308/363 [00:13<00:15, 3.56it/s] Loading 0: 86%|████████▌ | 312/363 [00:13<00:11, 4.53it/s] Loading 0: 88%|████████▊ | 320/363 [00:14<00:05, 7.34it/s] Loading 0: 90%|████████▉ | 326/363 [00:14<00:03, 9.88it/s] Loading 0: 91%|█████████ | 331/363 [00:14<00:02, 12.48it/s] Loading 0: 93%|█████████▎| 338/363 [00:14<00:01, 17.40it/s] Loading 0: 95%|█████████▍| 344/363 [00:14<00:00, 21.36it/s] Loading 0: 96%|█████████▋| 350/363 [00:14<00:00, 25.97it/s] Loading 0: 98%|█████████▊| 356/363 [00:14<00:00, 31.17it/s] Loading 0: 100%|█████████▉| 362/363 [00:14<00:00, 33.90it/s]
Job chaiml-mistral-nemo-dpo-4498-v1-mkmlizer completed after 104.55s with status: succeeded
Stopping job with name chaiml-mistral-nemo-dpo-4498-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.09s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral-nemo-dpo-4498-v1
Waiting for inference service chaiml-mistral-nemo-dpo-4498-v1 to be ready
Inference service chaiml-mistral-nemo-dpo-4498-v1 ready after 252.93610215187073s
Pipeline stage MKMLDeployer completed in 253.57s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.2143423557281494s
Received healthy response to inference request in 0.6489841938018799s
Received healthy response to inference request in 0.7410523891448975s
Received healthy response to inference request in 0.8830623626708984s
Received healthy response to inference request in 1.2920551300048828s
5 requests
0 failed requests
5th percentile: 0.6673978328704834
10th percentile: 0.6858114719390869
20th percentile: 0.722638750076294
30th percentile: 0.7694543838500977
40th percentile: 0.826258373260498
50th percentile: 0.8830623626708984
60th percentile: 1.0155743598937987
70th percentile: 1.1480863571166993
80th percentile: 1.2298849105834961
90th percentile: 1.2609700202941894
95th percentile: 1.276512575149536
99th percentile: 1.2889466190338135
mean time: 0.9558992862701416
Pipeline stage StressChecker completed in 6.25s
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 2.68s
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 2.36s
Shutdown handler de-registered
chaiml-mistral-nemo-dpo-_4498_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 2963.94s
Shutdown handler de-registered
chaiml-mistral-nemo-dpo-_4498_v1 status is now inactive due to auto deactivation removed underperforming models