cycy233-nemo-p-v2-c4

developer_uid: shiroe40

submission_id: cycy233-nemo-p-v2-c4_v1

model_name: auto

model_group: cycy233/nemo-p-v2-c4

status: torndown

timestamp: 2024-09-18T02:37:59+00:00

num_battles: 10930

num_wins: 5327

celo_rating: 1242.61

family_friendly_score: 0.0

submission_type: basic

model_repo: cycy233/nemo-p-v2-c4

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 512

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6963484401215456, 'latency_mean': 1.4360005056858063, 'latency_p50': 1.438572883605957, 'latency_p90': 1.5981045961380005}, {'batch_size': 3, 'throughput': 1.3387734047067654, 'latency_mean': 2.2328175950050353, 'latency_p50': 2.2119230031967163, 'latency_p90': 2.5063180208206175}, {'batch_size': 5, 'throughput': 1.5808286176872057, 'latency_mean': 3.1405912268161775, 'latency_p50': 3.136347770690918, 'latency_p90': 3.598155069351196}, {'batch_size': 6, 'throughput': 1.6208971536423114, 'latency_mean': 3.6818117117881775, 'latency_p50': 3.7038419246673584, 'latency_p90': 4.118337225914001}, {'batch_size': 8, 'throughput': 1.632216148283133, 'latency_mean': 4.878930468559265, 'latency_p50': 4.921693801879883, 'latency_p90': 5.611328291893005}, {'batch_size': 10, 'throughput': 1.5577498387247826, 'latency_mean': 6.3678972780704495, 'latency_p50': 6.404324173927307, 'latency_p90': 7.2225262165069575}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: auto

is_internal_developer: False

language_model: cycy233/nemo-p-v2-c4

model_size: 13B

ranking_group: single

throughput_3p7s: 1.63

us_pacific_date: 2024-09-17

win_ratio: 0.48737419945105215

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}

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}

Resubmit model

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Running pipeline stage MKMLizer
Starting job with name cycy233-nemo-p-v2-c4-v1-mkmlizer
Waiting for job on cycy233-nemo-p-v2-c4-v1-mkmlizer to finish
cycy233-nemo-p-v2-c4-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║     _____            __           __                                ║
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cycy233-nemo-p-v2-c4-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║       /___/                                                         ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cycy233-nemo-p-v2-c4-v1-mkmlizer: Downloaded to shared memory in 45.471s
cycy233-nemo-p-v2-c4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptmds2mzy, device:0
cycy233-nemo-p-v2-c4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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cycy233-nemo-p-v2-c4-v1-mkmlizer: quantized model in 35.034s
cycy233-nemo-p-v2-c4-v1-mkmlizer: Processed model cycy233/nemo-p-v2-c4 in 80.506s
cycy233-nemo-p-v2-c4-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-nemo-p-v2-c4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-nemo-p-v2-c4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-nemo-p-v2-c4-v1
cycy233-nemo-p-v2-c4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-nemo-p-v2-c4-v1/config.json
cycy233-nemo-p-v2-c4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-nemo-p-v2-c4-v1/special_tokens_map.json
cycy233-nemo-p-v2-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-nemo-p-v2-c4-v1/tokenizer_config.json
cycy233-nemo-p-v2-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-nemo-p-v2-c4-v1/tokenizer.json
cycy233-nemo-p-v2-c4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-nemo-p-v2-c4-v1/flywheel_model.0.safetensors
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Job cycy233-nemo-p-v2-c4-v1-mkmlizer completed after 117.15s 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', '')
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', '')
Inference service cycy233-nemo-p-v2-c4-v1 ready after 190.87677192687988s
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Received healthy response to inference request in 2.2723281383514404s
Received healthy response to inference request in 2.138577938079834s
Received healthy response to inference request in 1.7740201950073242s
Received healthy response to inference request in 1.7054202556610107s
Received healthy response to inference request in 1.8484582901000977s
5 requests
0 failed requests
5th percentile: 1.7191402435302734
10th percentile: 1.732860231399536
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90th percentile: 2.218828058242798
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mean time: 1.9477609634399413
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-nemo-p-v2-c4-v1-profiler-predictor-00001-deploymenmmddq:/code/chaiverse_profiler_1726627638 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-nemo-p-v2-c4-v1-profiler-predictor-00001-deploymenmmddq --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726627638 && 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_1726627638/summary.json'
kubectl exec -it cycy233-nemo-p-v2-c4-v1-profiler-predictor-00001-deploymenmmddq --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726627638/summary.json'
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