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
Download Preference Data
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: ║ 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: ║ ║
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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 ║
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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
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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
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50th percentile: 1.8739583492279053
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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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