submission_id: chaiml-lexical-nemo-v4-1k1e5_v23
developer_uid: chai_backend_admin
best_of: 4
celo_rating: 1246.65
display_name: tempv1-2
family_friendly_score: 0.5716
family_friendly_standard_error: 0.006998191766449387
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': 0.9, '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|>', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: True
language_model: ChaiML/Lexical-Nemo-v4-1k1e5
latencies: [{'batch_size': 1, 'throughput': 0.6287727655732099, 'latency_mean': 1.5903328275680542, 'latency_p50': 1.5764508247375488, 'latency_p90': 1.7565932035446168}, {'batch_size': 3, 'throughput': 1.2371425730816656, 'latency_mean': 2.4162151336669924, 'latency_p50': 2.433984160423279, 'latency_p90': 2.6651466131210326}, {'batch_size': 5, 'throughput': 1.5586418837826765, 'latency_mean': 3.1957640790939332, 'latency_p50': 3.1771374940872192, 'latency_p90': 3.5932025432586667}, {'batch_size': 6, 'throughput': 1.6560413590081606, 'latency_mean': 3.604764484167099, 'latency_p50': 3.6095694303512573, 'latency_p90': 4.0164319515228275}, {'batch_size': 8, 'throughput': 1.8154337880931555, 'latency_mean': 4.379310420751572, 'latency_p50': 4.397125005722046, 'latency_p90': 4.848595499992371}, {'batch_size': 10, 'throughput': 1.9069475281607808, 'latency_mean': 5.203000062704087, 'latency_p50': 5.185610413551331, 'latency_p90': 5.831982350349426}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: ChaiML/Lexical-Nemo-v4-1
model_name: tempv1-2
model_num_parameters: 12772070400.0
model_repo: ChaiML/Lexical-Nemo-v4-1k1e5
model_size: 13B
num_battles: 10933
num_wins: 5400
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.69
timestamp: 2024-11-12T12:29:15+00:00
us_pacific_date: 2024-11-12
win_ratio: 0.4939174974846794
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-lexical-nemo-v4-1k1e5-v23-mkmlizer
Waiting for job on chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer to finish
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ║     _____            __           __                                ║
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ║       /___/                                                         ║
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ║                                                                     ║
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ║  Version: 0.11.33                                                   ║
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ║                                                                     ║
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ║  belonging to:                                                      ║
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ║                                                                     ║
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ║                                                                     ║
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
Failed to get response for submission bbchicago-nana-nemo-12b-v1-0_v8: ('http://bbchicago-nana-nemo-12b-v1-0-v8-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: Downloaded to shared memory in 82.668s
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6cgm8ds6, device:0
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: quantized model in 41.426s
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: Processed model ChaiML/Lexical-Nemo-v4-1k1e5 in 124.094s
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: creating bucket guanaco-mkml-models
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-lexical-nemo-v4-1k1e5-v23
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-lexical-nemo-v4-1k1e5-v23/tokenizer_config.json
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-lexical-nemo-v4-1k1e5-v23/tokenizer.json
chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-lexical-nemo-v4-1k1e5-v23/flywheel_model.0.safetensors
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Job chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer completed after 155.97s with status: succeeded
Stopping job with name chaiml-lexical-nemo-v4-1k1e5-v23-mkmlizer
Pipeline stage MKMLizer completed in 156.64s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-lexical-nemo-v4-1k1e5-v23
Waiting for inference service chaiml-lexical-nemo-v4-1k1e5-v23 to be ready
Failed to get response for submission rica40325-10-14dpo_v2: ('http://rica40325-10-14dpo-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service chaiml-lexical-nemo-v4-1k1e5-v23 ready after 190.8966929912567s
Pipeline stage MKMLDeployer completed in 191.52s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.2989306449890137s
Received healthy response to inference request in 1.4027750492095947s
Received healthy response to inference request in 1.5339405536651611s
Received healthy response to inference request in 1.517005443572998s
Received healthy response to inference request in 1.4070038795471191s
5 requests
0 failed requests
5th percentile: 1.4036208152770997
10th percentile: 1.4044665813446044
20th percentile: 1.4061581134796142
30th percentile: 1.429004192352295
40th percentile: 1.4730048179626465
50th percentile: 1.517005443572998
60th percentile: 1.5237794876098634
70th percentile: 1.5305535316467285
80th percentile: 1.6869385719299317
90th percentile: 1.9929346084594728
95th percentile: 2.145932626724243
99th percentile: 2.2683310413360593
mean time: 1.6319311141967774
Pipeline stage StressChecker completed in 9.86s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 2.41s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2524.36s
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chaiml-lexical-nemo-v4-1k1e5_v23 status is now inactive due to auto deactivation removed underperforming models