submission_id: cycy233-nemo-p-e-v0-c2_v1
developer_uid: shiroe40
best_of: 8
celo_rating: 1292.01
display_name: auto
family_friendly_score: 0.537655080488055
family_friendly_standard_error: 0.006158997643292797
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': 1.0, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: cycy233/nemo-p-e-v0-c2
latencies: [{'batch_size': 1, 'throughput': 0.6157816215269497, 'latency_mean': 1.6238820254802704, 'latency_p50': 1.6202558279037476, 'latency_p90': 1.7815179347991943}, {'batch_size': 3, 'throughput': 1.0944395495627404, 'latency_mean': 2.7313486909866334, 'latency_p50': 2.7383166551589966, 'latency_p90': 2.978446865081787}, {'batch_size': 5, 'throughput': 1.257432976844644, 'latency_mean': 3.962659744024277, 'latency_p50': 3.9637844562530518, 'latency_p90': 4.557652139663697}, {'batch_size': 6, 'throughput': 1.2744982538102192, 'latency_mean': 4.685538324117661, 'latency_p50': 4.653789162635803, 'latency_p90': 5.230097365379334}, {'batch_size': 8, 'throughput': 1.2513456603457869, 'latency_mean': 6.35750813126564, 'latency_p50': 6.35728907585144, 'latency_p90': 7.178662967681885}, {'batch_size': 10, 'throughput': 1.2033460781274343, 'latency_mean': 8.255521004199982, 'latency_p50': 8.26819109916687, 'latency_p90': 9.38638572692871}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: cycy233/nemo-p-e-v0-c2
model_name: auto
model_num_parameters: 12772070400.0
model_repo: cycy233/nemo-p-e-v0-c2
model_size: 13B
num_battles: 19308
num_wins: 10653
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.24
timestamp: 2024-09-20T03:30:18+00:00
us_pacific_date: 2024-09-19
win_ratio: 0.5517402113113735
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name cycy233-nemo-p-e-v0-c2-v1-mkmlizer
Waiting for job on cycy233-nemo-p-e-v0-c2-v1-mkmlizer to finish
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: ║ _____ __ __ ║
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cycy233-nemo-p-e-v0-c2-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: ║ /___/ ║
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: ║ ║
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: ║ Version: 0.10.1 ║
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: ║ ║
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: ║ belonging to: ║
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: ║ ║
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: ║ ║
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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Failed to get response for submission zonemercy-lexical-nemov8_5966_v2: ('http://zonemercy-lexical-nemov8-5966-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
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cycy233-nemo-p-e-v0-c2-v1-mkmlizer: Downloaded to shared memory in 54.808s
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpn94ova5i, device:0
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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cycy233-nemo-p-e-v0-c2-v1-mkmlizer: quantized model in 35.320s
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: Processed model cycy233/nemo-p-e-v0-c2 in 90.128s
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c2-v1
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c2-v1/config.json
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c2-v1/special_tokens_map.json
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c2-v1/tokenizer_config.json
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c2-v1/tokenizer.json
cycy233-nemo-p-e-v0-c2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c2-v1/flywheel_model.0.safetensors
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Job cycy233-nemo-p-e-v0-c2-v1-mkmlizer completed after 114.66s with status: succeeded
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Inference service cycy233-nemo-p-e-v0-c2-v1 ready after 211.21899390220642s
Pipeline stage MKMLDeployer completed in 211.56s
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Received healthy response to inference request in 2.3767194747924805s
Received healthy response to inference request in 1.753370761871338s
Received healthy response to inference request in 1.9026010036468506s
Received healthy response to inference request in 1.8739583492279053s
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Received healthy response to inference request in 1.738358497619629s
5 requests
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5th percentile: 1.7413609504699707
10th percentile: 1.7443634033203126
20th percentile: 1.750368309020996
30th percentile: 1.7774882793426514
40th percentile: 1.8257233142852782
50th percentile: 1.8739583492279053
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80th percentile: 1.9974246978759767
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mean time: 1.9290016174316407
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-nemo-p-e-v0-c2-v1-profiler-predictor-00001-deploymjtqgv:/code/chaiverse_profiler_1726803608 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-nemo-p-e-v0-c2-v1-profiler-predictor-00001-deploymjtqgv --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726803608 && 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_1726803608/summary.json'
kubectl exec -it cycy233-nemo-p-e-v0-c2-v1-profiler-predictor-00001-deploymjtqgv --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726803608/summary.json'
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