developer_uid: azuruce
submission_id: chaiml-mistral-nemo-dpo-_8419_v1
model_name: chaiml-mistral-nemo-dpo-_8419_v1
model_group: ChaiML/mistral_nemo_dpo_
status: torndown
timestamp: 2024-12-21T21:38:29+00:00
num_battles: 16153
num_wins: 7599
celo_rating: 1239.05
family_friendly_score: 0.5816
family_friendly_standard_error: 0.006976266049972578
submission_type: basic
model_repo: ChaiML/mistral_nemo_dpo_round2_albert_20241220_v2-checkpoint-317
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6377568036194105, 'latency_mean': 1.5679291296005249, 'latency_p50': 1.5616832971572876, 'latency_p90': 1.722602868080139}, {'batch_size': 3, 'throughput': 1.2777814087448454, 'latency_mean': 2.3440507352352142, 'latency_p50': 2.3267873525619507, 'latency_p90': 2.6276233196258545}, {'batch_size': 5, 'throughput': 1.5927522705456003, 'latency_mean': 3.1150636506080627, 'latency_p50': 3.1152195930480957, 'latency_p90': 3.5206684827804566}, {'batch_size': 6, 'throughput': 1.7295509780592588, 'latency_mean': 3.452663575410843, 'latency_p50': 3.4575846195220947, 'latency_p90': 3.868199300765991}, {'batch_size': 8, 'throughput': 1.8732027946445862, 'latency_mean': 4.248809984922409, 'latency_p50': 4.233112692832947, 'latency_p90': 4.705279207229614}, {'batch_size': 10, 'throughput': 1.9801803833881546, 'latency_mean': 5.0114270627498625, 'latency_p50': 5.039220571517944, 'latency_p90': 5.655592751502991}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-mistral-nemo-dpo-_8419_v1
is_internal_developer: False
language_model: ChaiML/mistral_nemo_dpo_round2_albert_20241220_v2-checkpoint-317
model_size: 13B
ranking_group: single
throughput_3p7s: 1.79
us_pacific_date: 2024-12-21
win_ratio: 0.4704389277533585
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': ['You:', '</s>', 'User:', 'Bot:', '\n', '####', '<|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
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Starting job with name chaiml-mistral-nemo-dpo-8419-v1-mkmlizer
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chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: ║ _____ __ __ ║
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: ║ /___/ ║
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: ║ Version: 0.11.12 ║
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: ║ https://mk1.ai ║
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chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
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run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-mistral-nemo-dpo-8419-v2-mkmlizer
Waiting for job on chaiml-mistral-nemo-dpo-8419-v2-mkmlizer to finish
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ║ _____ __ __ ║
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ║ /___/ ║
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ║ Version: 0.11.12 ║
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ║ belonging to: ║
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: Downloaded to shared memory in 52.638s
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpyjugmp3v, device:0
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: quantized model in 39.067s
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: Processed model ChaiML/mistral_nemo_dpo_round2_albert_20241220_v2-checkpoint-317 in 91.705s
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-8419-v1
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-8419-v1/config.json
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-8419-v1/special_tokens_map.json
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: Downloaded to shared memory in 37.604s
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpfe_bvea2, device:0
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-nemo-dpo-8419-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-8419-v1/flywheel_model.0.safetensors
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Job chaiml-mistral-nemo-dpo-8419-v1-mkmlizer completed after 126.72s with status: succeeded
Stopping job with name chaiml-mistral-nemo-dpo-8419-v1-mkmlizer
Pipeline stage MKMLizer completed in 127.32s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.21s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral-nemo-dpo-8419-v1
Waiting for inference service chaiml-mistral-nemo-dpo-8419-v1 to be ready
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: quantized model in 37.868s
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: Processed model ChaiML/mistral_nemo_dpo_round2_albert_20241220_v2-checkpoint-317 in 75.472s
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-8419-v2
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-8419-v2/config.json
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-8419-v2/special_tokens_map.json
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-8419-v2/tokenizer_config.json
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-8419-v2/tokenizer.json
chaiml-mistral-nemo-dpo-8419-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-8419-v2/flywheel_model.0.safetensors
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Job chaiml-mistral-nemo-dpo-8419-v2-mkmlizer completed after 96.2s with status: succeeded
Stopping job with name chaiml-mistral-nemo-dpo-8419-v2-mkmlizer
Pipeline stage MKMLizer completed in 96.95s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.44s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral-nemo-dpo-8419-v2
Waiting for inference service chaiml-mistral-nemo-dpo-8419-v2 to be ready
Inference service chaiml-mistral-nemo-dpo-8419-v1 ready after 271.3223934173584s
Pipeline stage MKMLDeployer completed in 272.07s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8431901931762695s
Received healthy response to inference request in 1.3540518283843994s
Received healthy response to inference request in 1.1999526023864746s
Received healthy response to inference request in 1.4461376667022705s
Received healthy response to inference request in 1.3527355194091797s
5 requests
0 failed requests
5th percentile: 1.2305091857910155
10th percentile: 1.2610657691955567
20th percentile: 1.3221789360046388
30th percentile: 1.3529987812042237
40th percentile: 1.3535253047943114
50th percentile: 1.3540518283843994
60th percentile: 1.390886163711548
70th percentile: 1.4277204990386962
80th percentile: 1.5255481719970705
90th percentile: 1.68436918258667
95th percentile: 1.7637796878814695
99th percentile: 1.8273080921173095
mean time: 1.4392135620117188
Pipeline stage StressChecker completed in 10.30s
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 1.03s
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 0.94s
Shutdown handler de-registered
chaiml-mistral-nemo-dpo-_8419_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 2466.62s
Shutdown handler de-registered
chaiml-mistral-nemo-dpo-_8419_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-mistral-nemo-dpo-_8419_v1 status is now torndown due to DeploymentManager action
chaiml-mistral-nemo-dpo-_8419_v1 status is now torndown due to DeploymentManager action
chaiml-mistral-nemo-dpo-_8419_v1 status is now torndown due to DeploymentManager action