cycy233-nemo-p-v1-c3

submission_id: cycy233-nemo-p-v1-c3_v2
developer_uid: shiroe40
best_of: 8
celo_rating: 1237.66
display_name: auto
family_friendly_score: 0.0
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': 512, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: cycy233/nemo-p-v1-c3
latencies: [{'batch_size': 1, 'throughput': 0.6900915178810475, 'latency_mean': 1.4489826571941375, 'latency_p50': 1.4640653133392334, 'latency_p90': 1.6039154767990111}, {'batch_size': 3, 'throughput': 1.3364205086023262, 'latency_mean': 2.2355977022647857, 'latency_p50': 2.2298977375030518, 'latency_p90': 2.510143852233887}, {'batch_size': 5, 'throughput': 1.584973586519538, 'latency_mean': 3.1323372709751127, 'latency_p50': 3.1379454135894775, 'latency_p90': 3.583340072631836}, {'batch_size': 6, 'throughput': 1.620786238508134, 'latency_mean': 3.6812869477272034, 'latency_p50': 3.7041287422180176, 'latency_p90': 4.200353288650513}, {'batch_size': 8, 'throughput': 1.6064855179114987, 'latency_mean': 4.955461260080337, 'latency_p50': 4.949576377868652, 'latency_p90': 5.627552580833435}, {'batch_size': 10, 'throughput': 1.5453473385987049, 'latency_mean': 6.436946734189987, 'latency_p50': 6.486705660820007, 'latency_p90': 7.369244313240051}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: cycy233/nemo-p-v1-c3
model_name: auto
model_num_parameters: 12772070400.0
model_repo: cycy233/nemo-p-v1-c3
model_size: 13B
num_battles: 10260
num_wins: 4920
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.63
timestamp: 2024-09-18T01:47:13+00:00
us_pacific_date: 2024-09-17
win_ratio: 0.47953216374269003
Download Preference Data
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name cycy233-nemo-p-v1-c3-v2-mkmlizer
Waiting for job on cycy233-nemo-p-v1-c3-v2-mkmlizer to finish
Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
cycy233-nemo-p-v1-c3-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-nemo-p-v1-c3-v2-mkmlizer: ║     _____            __           __                                ║
cycy233-nemo-p-v1-c3-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-nemo-p-v1-c3-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-nemo-p-v1-c3-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-nemo-p-v1-c3-v2-mkmlizer: ║       /___/                                                         ║
cycy233-nemo-p-v1-c3-v2-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v1-c3-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-nemo-p-v1-c3-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-nemo-p-v1-c3-v2-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-nemo-p-v1-c3-v2-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v1-c3-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-nemo-p-v1-c3-v2-mkmlizer: ║  belonging to:                                                      ║
cycy233-nemo-p-v1-c3-v2-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v1-c3-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-nemo-p-v1-c3-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-nemo-p-v1-c3-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-nemo-p-v1-c3-v2-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v1-c3-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cycy233-nemo-p-v1-c3-v2-mkmlizer: Downloaded to shared memory in 31.504s
cycy233-nemo-p-v1-c3-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpgqldsxc_, device:0
cycy233-nemo-p-v1-c3-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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cycy233-nemo-p-v1-c3-v2-mkmlizer: quantized model in 36.036s
cycy233-nemo-p-v1-c3-v2-mkmlizer: Processed model cycy233/nemo-p-v1-c3 in 67.540s
cycy233-nemo-p-v1-c3-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-nemo-p-v1-c3-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-nemo-p-v1-c3-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-nemo-p-v1-c3-v2
cycy233-nemo-p-v1-c3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-nemo-p-v1-c3-v2/tokenizer.json
cycy233-nemo-p-v1-c3-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-nemo-p-v1-c3-v2/flywheel_model.0.safetensors
cycy233-nemo-p-v1-c3-v2-mkmlizer: 
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Job cycy233-nemo-p-v1-c3-v2-mkmlizer completed after 105.29s with status: succeeded
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Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
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Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
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Inference service cycy233-nemo-p-v1-c3-v2 ready after 181.75446105003357s
Pipeline stage MKMLDeployer completed in 182.29s
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Received healthy response to inference request in 2.9584782123565674s
Received healthy response to inference request in 1.7904918193817139s
Received healthy response to inference request in 1.4200291633605957s
Received healthy response to inference request in 2.303882122039795s
Received healthy response to inference request in 2.033413887023926s
5 requests
0 failed requests
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-nemo-p-v1-c3-v2-profiler-predictor-00001-deploymengc26g:/code/chaiverse_profiler_1726624564 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-nemo-p-v1-c3-v2-profiler-predictor-00001-deploymengc26g --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726624564 && 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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1726624564/summary.json'
kubectl exec -it cycy233-nemo-p-v1-c3-v2-profiler-predictor-00001-deploymengc26g --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726624564/summary.json'
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