developer_uid: rirv938
submission_id: rirv938-v4-pref-plus-03-_9489_v1
model_name: rirv938-v4-pref-plus-03-_9489_v1
model_group: rirv938/v4_pref_plus_03_
status: torndown
timestamp: 2024-12-22T23:23:47+00:00
num_battles: 14481
num_wins: 6711
celo_rating: 1238.91
family_friendly_score: 0.6258
family_friendly_standard_error: 0.006843600806592974
submission_type: basic
model_repo: rirv938/v4_pref_plus_03_mistral_1116_v2
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6376930895903796, 'latency_mean': 1.5680592906475068, 'latency_p50': 1.5550262928009033, 'latency_p90': 1.7420429468154908}, {'batch_size': 3, 'throughput': 1.2738997548364144, 'latency_mean': 2.348273533582687, 'latency_p50': 2.3477636575698853, 'latency_p90': 2.5673720836639404}, {'batch_size': 5, 'throughput': 1.6039174385098505, 'latency_mean': 3.0998452210426333, 'latency_p50': 3.11017644405365, 'latency_p90': 3.453350234031677}, {'batch_size': 6, 'throughput': 1.7243609847342871, 'latency_mean': 3.4675189328193663, 'latency_p50': 3.4475042819976807, 'latency_p90': 3.9019187688827515}, {'batch_size': 8, 'throughput': 1.8641407491012434, 'latency_mean': 4.271126458644867, 'latency_p50': 4.2756781578063965, 'latency_p90': 4.942281270027161}, {'batch_size': 10, 'throughput': 1.9564655644360454, 'latency_mean': 5.0686124837398525, 'latency_p50': 5.055189490318298, 'latency_p90': 5.737487721443176}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: rirv938-v4-pref-plus-03-_9489_v1
is_internal_developer: True
language_model: rirv938/v4_pref_plus_03_mistral_1116_v2
model_size: 13B
ranking_group: single
throughput_3p7s: 1.78
us_pacific_date: 2024-12-22
win_ratio: 0.4634348456598301
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 rirv938-v4-pref-plus-03-9489-v1-mkmlizer
Waiting for job on rirv938-v4-pref-plus-03-9489-v1-mkmlizer to finish
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: ║ _____ __ __ ║
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rirv938-v4-pref-plus-03-9489-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: ║ /___/ ║
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: ║ ║
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: ║ Version: 0.11.12 ║
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: ║ https://mk1.ai ║
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: ║ ║
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: ║ The license key for the current software has been verified as ║
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: ║ belonging to: ║
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: ║ ║
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: ║ Chai Research Corp. ║
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: ║ ║
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: Downloaded to shared memory in 106.159s
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp33k1iaz1, device:0
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: quantized model in 40.849s
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: Processed model rirv938/v4_pref_plus_03_mistral_1116_v2 in 147.008s
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: creating bucket guanaco-mkml-models
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-v4-pref-plus-03-9489-v1
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-v4-pref-plus-03-9489-v1/config.json
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-v4-pref-plus-03-9489-v1/special_tokens_map.json
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-v4-pref-plus-03-9489-v1/tokenizer_config.json
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-v4-pref-plus-03-9489-v1/tokenizer.json
rirv938-v4-pref-plus-03-9489-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-v4-pref-plus-03-9489-v1/flywheel_model.0.safetensors
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Job rirv938-v4-pref-plus-03-9489-v1-mkmlizer completed after 176.16s with status: succeeded
Stopping job with name rirv938-v4-pref-plus-03-9489-v1-mkmlizer
Pipeline stage MKMLizer completed in 176.68s
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Pipeline stage MKMLTemplater completed in 0.18s
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Creating inference service rirv938-v4-pref-plus-03-9489-v1
Waiting for inference service rirv938-v4-pref-plus-03-9489-v1 to be ready
Inference service rirv938-v4-pref-plus-03-9489-v1 ready after 271.26472640037537s
Pipeline stage MKMLDeployer completed in 271.82s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.03143572807312s
Received healthy response to inference request in 1.040107250213623s
Received healthy response to inference request in 1.3779323101043701s
Received healthy response to inference request in 1.6776278018951416s
Received healthy response to inference request in 1.0762414932250977s
5 requests
0 failed requests
5th percentile: 1.0473340988159179
10th percentile: 1.054560947418213
20th percentile: 1.0690146446228028
30th percentile: 1.136579656600952
40th percentile: 1.257255983352661
50th percentile: 1.3779323101043701
60th percentile: 1.4978105068206786
70th percentile: 1.6176887035369873
80th percentile: 1.7483893871307374
90th percentile: 1.8899125576019287
95th percentile: 1.9606741428375243
99th percentile: 2.017283411026001
mean time: 1.4406689167022706
Pipeline stage StressChecker completed in 8.49s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.64s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.70s
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Pipeline stage MKMLProfilerTemplater completed in 0.09s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service rirv938-v4-pref-plus-03-9489-v1-profiler
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2456.45s
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rirv938-v4-pref-plus-03-_9489_v1 status is now inactive due to auto deactivation removed underperforming models
rirv938-v4-pref-plus-03-_9489_v1 status is now torndown due to DeploymentManager action
rirv938-v4-pref-plus-03-_9489_v1 status is now torndown due to DeploymentManager action
rirv938-v4-pref-plus-03-_9489_v1 status is now torndown due to DeploymentManager action
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