zonemercy-cogent-nemo-v_3266

submission_id: zonemercy-cogent-nemo-v_3266_v10

developer_uid: zonemercy

alignment_samples: 10832

alignment_score: 2.402311967466694

best_of: 8

celo_rating: 1256.57

display_name: zonemercy-cogent-nemo-v_3266_v10

formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': True}

generation_params: {'temperature': 0.75, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['</s>', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: True

language_model: zonemercy/Cogent-Nemo-v1-1k1e5

latencies: [{'batch_size': 1, 'throughput': 0.6123225677231501, 'latency_mean': 1.6330477106571197, 'latency_p50': 1.6367497444152832, 'latency_p90': 1.8135210037231446}, {'batch_size': 3, 'throughput': 1.0686809994615807, 'latency_mean': 2.797850525379181, 'latency_p50': 2.8209041357040405, 'latency_p90': 3.04150185585022}, {'batch_size': 5, 'throughput': 1.2212176314599943, 'latency_mean': 4.077080441713333, 'latency_p50': 4.076776623725891, 'latency_p90': 4.556342911720276}, {'batch_size': 6, 'throughput': 1.2490494890755772, 'latency_mean': 4.776584668159485, 'latency_p50': 4.816433787345886, 'latency_p90': 5.409080576896668}, {'batch_size': 8, 'throughput': 1.2354064948797623, 'latency_mean': 6.4551832497119905, 'latency_p50': 6.4772937297821045, 'latency_p90': 7.170817112922668}, {'batch_size': 10, 'throughput': 1.2090573881022462, 'latency_mean': 8.2354004073143, 'latency_p50': 8.236159205436707, 'latency_p90': 9.416901063919067}]

max_input_tokens: 1024

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: zonemercy/Cogent-Nemo-v1

model_name: zonemercy-cogent-nemo-v_3266_v10

model_num_parameters: 12772070400.0

model_repo: zonemercy/Cogent-Nemo-v1-1k1e5

model_size: 13B

num_battles: 10832

num_wins: 5582

propriety_score: 0.7401015228426396

propriety_total_count: 985.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 1.19

timestamp: 2024-09-13T20:57:33+00:00

us_pacific_date: 2024-09-13

win_ratio: 0.5153249630723782

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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 zonemercy-cogent-nemo-v-3266-v10-mkmlizer
Waiting for job on zonemercy-cogent-nemo-v-3266-v10-mkmlizer to finish
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ║     _____            __           __                                ║
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ║       /___/                                                         ║
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ║                                                                     ║
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ║  Version: 0.10.1                                                    ║
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ║  https://mk1.ai                                                     ║
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ║                                                                     ║
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ║  The license key for the current software has been verified as      ║
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ║  belonging to:                                                      ║
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ║                                                                     ║
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ║  Chai Research Corp.                                                ║
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ║                                                                     ║
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: Downloaded to shared memory in 67.713s
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpbt4pp9ga, device:0
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: quantized model in 40.239s
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: Processed model zonemercy/Cogent-Nemo-v1-1k1e5 in 107.952s
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-cogent-nemo-v-3266-v10
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-cogent-nemo-v-3266-v10/config.json
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-cogent-nemo-v-3266-v10/special_tokens_map.json
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-cogent-nemo-v-3266-v10/tokenizer_config.json
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-cogent-nemo-v-3266-v10/tokenizer.json
zonemercy-cogent-nemo-v-3266-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-cogent-nemo-v-3266-v10/flywheel_model.0.safetensors
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Job zonemercy-cogent-nemo-v-3266-v10-mkmlizer completed after 135.75s with status: succeeded
Stopping job with name zonemercy-cogent-nemo-v-3266-v10-mkmlizer
Pipeline stage MKMLizer completed in 137.15s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.09s
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Running pipeline stage MKMLDeployer
Creating inference service zonemercy-cogent-nemo-v-3266-v10
Waiting for inference service zonemercy-cogent-nemo-v-3266-v10 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
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Inference service zonemercy-cogent-nemo-v-3266-v10 ready after 190.7578957080841s
Pipeline stage MKMLDeployer completed in 191.96s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.1110002994537354s
Received healthy response to inference request in 2.7500946521759033s
Received healthy response to inference request in 2.114225387573242s
Received healthy response to inference request in 1.7329697608947754s
Received healthy response to inference request in 1.8707563877105713s
5 requests
0 failed requests
5th percentile: 1.7605270862579345
10th percentile: 1.7880844116210937
20th percentile: 1.8431990623474122
30th percentile: 1.9188051700592041
40th percentile: 2.0149027347564696
50th percentile: 2.1110002994537354
60th percentile: 2.1122903347015383
70th percentile: 2.1135803699493407
80th percentile: 2.2413992404937746
90th percentile: 2.495746946334839
95th percentile: 2.622920799255371
99th percentile: 2.724659881591797
mean time: 2.1158092975616456
Pipeline stage StressChecker completed in 11.48s
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zonemercy-cogent-nemo-v_3266_v10 status is now deployed due to DeploymentManager action
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Skipping teardown as no inference service was successfully deployed
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Creating inference service zonemercy-cogent-nemo-v-3266-v10-profiler
Waiting for inference service zonemercy-cogent-nemo-v-3266-v10-profiler to be ready
Inference service zonemercy-cogent-nemo-v-3266-v10-profiler ready after 190.44001698493958s
Pipeline stage MKMLProfilerDeployer completed in 190.81s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-cogent-nemd7f7a81b69cd64c6b72e5064d24bf99e-deplovvgs5:/code/chaiverse_profiler_1726261626 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-cogent-nemd7f7a81b69cd64c6b72e5064d24bf99e-deplovvgs5 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726261626 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726261626/summary.json'
kubectl exec -it zonemercy-cogent-nemd7f7a81b69cd64c6b72e5064d24bf99e-deplovvgs5 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726261626/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1172.46s
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Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-cogent-nemo-v-3266-v10-profiler is running
Tearing down inference service zonemercy-cogent-nemo-v-3266-v10-profiler
Service zonemercy-cogent-nemo-v-3266-v10-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.19s
Shutdown handler de-registered
zonemercy-cogent-nemo-v_3266_v10 status is now inactive due to auto deactivation removed underperforming models