zonemercy-cogent-nemo-v_3266

submission_id: zonemercy-cogent-nemo-v_3266_v11

developer_uid: zonemercy

alignment_samples: 12048

alignment_score: 2.235870890199183

best_of: 8

celo_rating: 1256.29

display_name: zonemercy-cogent-nemo-v_3266_v11

formatter: {'memory_template': "Bot's name: {bot_name}\n####\n", 'prompt_template': '', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', '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': 0.6061792421937418, 'latency_mean': 1.6496174669265746, 'latency_p50': 1.6541407108306885, 'latency_p90': 1.8099216222763062}, {'batch_size': 3, 'throughput': 1.0734082190302443, 'latency_mean': 2.783310436010361, 'latency_p50': 2.7849220037460327, 'latency_p90': 3.075207161903381}, {'batch_size': 5, 'throughput': 1.2209013175235297, 'latency_mean': 4.0827189528942105, 'latency_p50': 4.103784918785095, 'latency_p90': 4.574526357650757}, {'batch_size': 6, 'throughput': 1.2344278802694861, 'latency_mean': 4.843380031585693, 'latency_p50': 4.841668486595154, 'latency_p90': 5.511460328102112}, {'batch_size': 8, 'throughput': 1.2257150290846661, 'latency_mean': 6.479584794044495, 'latency_p50': 6.5534491539001465, 'latency_p90': 7.307582259178162}, {'batch_size': 10, 'throughput': 1.1965070391877177, 'latency_mean': 8.304144871234893, 'latency_p50': 8.359461188316345, 'latency_p90': 9.350934934616088}]

max_input_tokens: 1024

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: zonemercy/Cogent-Nemo-v1

model_name: zonemercy-cogent-nemo-v_3266_v11

model_num_parameters: 12772070400.0

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

model_size: 13B

num_battles: 12046

num_wins: 6179

propriety_score: 0.727355901189387

propriety_total_count: 1093.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 1.19

timestamp: 2024-09-13T21:27:47+00:00

us_pacific_date: 2024-09-13

win_ratio: 0.5129503569649676

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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-v11-mkmlizer
Waiting for job on zonemercy-cogent-nemo-v-3266-v11-mkmlizer to finish
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ║     _____            __           __                                ║
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ║       /___/                                                         ║
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ║                                                                     ║
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ║  Version: 0.10.1                                                    ║
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ║  https://mk1.ai                                                     ║
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ║                                                                     ║
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ║  The license key for the current software has been verified as      ║
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ║  belonging to:                                                      ║
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ║                                                                     ║
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ║  Chai Research Corp.                                                ║
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ║                                                                     ║
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
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-v11-mkmlizer: Downloaded to shared memory in 70.189s
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpal4x8e0o, device:0
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission blend_sofob_2024-09-09: ('http://zonemercy-lexical-nemo-1518-v18-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:40684->127.0.0.1:8080: read: connection reset by peer\n')
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-v11-mkmlizer: quantized model in 42.075s
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: Processed model zonemercy/Cogent-Nemo-v1-1k1e5 in 112.264s
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-cogent-nemo-v-3266-v11
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-cogent-nemo-v-3266-v11/config.json
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-cogent-nemo-v-3266-v11/special_tokens_map.json
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-cogent-nemo-v-3266-v11/tokenizer_config.json
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-cogent-nemo-v-3266-v11/tokenizer.json
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-cogent-nemo-v-3266-v11/flywheel_model.0.safetensors
zonemercy-cogent-nemo-v-3266-v11-mkmlizer: 
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Job zonemercy-cogent-nemo-v-3266-v11-mkmlizer completed after 137.29s with status: succeeded
Stopping job with name zonemercy-cogent-nemo-v-3266-v11-mkmlizer
Pipeline stage MKMLizer completed in 138.55s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.65s
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Running pipeline stage MKMLDeployer
Creating inference service zonemercy-cogent-nemo-v-3266-v11
Waiting for inference service zonemercy-cogent-nemo-v-3266-v11 to be ready
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Inference service zonemercy-cogent-nemo-v-3266-v11 ready after 191.00872564315796s
Pipeline stage MKMLDeployer completed in 191.47s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.556899309158325s
Received healthy response to inference request in 2.154330015182495s
Received healthy response to inference request in 1.912628173828125s
Received healthy response to inference request in 1.7960333824157715s
Received healthy response to inference request in 2.042423725128174s
5 requests
0 failed requests
5th percentile: 1.8193523406982421
10th percentile: 1.8426712989807128
20th percentile: 1.8893092155456543
30th percentile: 1.9385872840881349
40th percentile: 1.9905055046081543
50th percentile: 2.042423725128174
60th percentile: 2.0871862411499023
70th percentile: 2.1319487571716307
80th percentile: 2.234843873977661
90th percentile: 2.3958715915679933
95th percentile: 2.4763854503631593
99th percentile: 2.540796537399292
mean time: 2.092462921142578
Pipeline stage StressChecker completed in 12.65s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 5.97s
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zonemercy-cogent-nemo-v_3266_v11 status is now deployed due to DeploymentManager action
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Pipeline stage MKMLProfilerTemplater completed in 0.10s
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Creating inference service zonemercy-cogent-nemo-v-3266-v11-profiler
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Inference service zonemercy-cogent-nemo-v-3266-v11-profiler ready after 190.53853487968445s
Pipeline stage MKMLProfilerDeployer completed in 190.90s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-cogent-nemb6c91dc402fa290bb2aae58bb120d1aa-deploqmrj9:/code/chaiverse_profiler_1726263448 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-cogent-nemb6c91dc402fa290bb2aae58bb120d1aa-deploqmrj9 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726263448 && 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_1726263448/summary.json'
kubectl exec -it zonemercy-cogent-nemb6c91dc402fa290bb2aae58bb120d1aa-deploqmrj9 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726263448/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1178.78s
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Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-cogent-nemo-v-3266-v11-profiler is running
Tearing down inference service zonemercy-cogent-nemo-v-3266-v11-profiler
Service zonemercy-cogent-nemo-v-3266-v11-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.88s
Shutdown handler de-registered
zonemercy-cogent-nemo-v_3266_v11 status is now inactive due to auto deactivation removed underperforming models