chaiml-elite-feed-convo-_7085

submission_id: chaiml-elite-feed-convo-_7085_v2

developer_uid: zonemercy

alignment_samples: 10872

alignment_score: 0.4214492313020658

best_of: 8

celo_rating: 1256.49

display_name: chaiml-elite-feed-convo-_7085_v2

formatter: {'memory_template': "Bot's name: {bot_name}\nBot never initiate sex act unless User started first in the conversation\n####\n", 'prompt_template': '', 'bot_template': 'Bot: {message}</s>', 'user_template': 'User: {message}</s>', 'response_template': 'Bot:', 'truncate_by_message': True}

generation_params: {'temperature': 0.9, '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: ChaiML/Elite-Feed-Convo-v2-1e5ep2

latencies: [{'batch_size': 1, 'throughput': 0.6136136289667327, 'latency_mean': 1.6295950305461884, 'latency_p50': 1.627041220664978, 'latency_p90': 1.7920935869216919}, {'batch_size': 3, 'throughput': 1.083715594656152, 'latency_mean': 2.7596682691574097, 'latency_p50': 2.787343382835388, 'latency_p90': 3.0381842136383055}, {'batch_size': 5, 'throughput': 1.2236901775336786, 'latency_mean': 4.07181068778038, 'latency_p50': 4.063044428825378, 'latency_p90': 4.580924224853516}, {'batch_size': 6, 'throughput': 1.2513496251392788, 'latency_mean': 4.778708422183991, 'latency_p50': 4.797297120094299, 'latency_p90': 5.465224170684815}, {'batch_size': 8, 'throughput': 1.231450418626903, 'latency_mean': 6.4618465769290925, 'latency_p50': 6.475474238395691, 'latency_p90': 7.283308315277099}, {'batch_size': 10, 'throughput': 1.20351007742247, 'latency_mean': 8.261807507276535, 'latency_p50': 8.329431891441345, 'latency_p90': 9.321661853790284}]

max_input_tokens: 1024

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: ChaiML/Elite-Feed-Convo-

model_name: chaiml-elite-feed-convo-_7085_v2

model_num_parameters: 12772070400.0

model_repo: ChaiML/Elite-Feed-Convo-v2-1e5ep2

model_size: 13B

num_battles: 10869

num_wins: 5618

propriety_score: 0.7714884696016772

propriety_total_count: 954.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 1.2

timestamp: 2024-09-12T16:35:59+00:00

us_pacific_date: 2024-09-12

win_ratio: 0.5168828779096513

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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 chaiml-elite-feed-convo-7085-v2-mkmlizer
Waiting for job on chaiml-elite-feed-convo-7085-v2-mkmlizer to finish
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chaiml-elite-feed-convo-7085-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-elite-feed-convo-7085-v2-mkmlizer: ║     _____            __           __                                ║
chaiml-elite-feed-convo-7085-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-elite-feed-convo-7085-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-elite-feed-convo-7085-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-elite-feed-convo-7085-v2-mkmlizer: ║       /___/                                                         ║
chaiml-elite-feed-convo-7085-v2-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-7085-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
chaiml-elite-feed-convo-7085-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-elite-feed-convo-7085-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-elite-feed-convo-7085-v2-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-7085-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-elite-feed-convo-7085-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-elite-feed-convo-7085-v2-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-7085-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-elite-feed-convo-7085-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-elite-feed-convo-7085-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
chaiml-elite-feed-convo-7085-v2-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-7085-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-elite-feed-convo-7085-v2-mkmlizer: Downloaded to shared memory in 69.547s
chaiml-elite-feed-convo-7085-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpen8fjpyr, device:0
chaiml-elite-feed-convo-7085-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-elite-feed-convo-7085-v2-mkmlizer: quantized model in 40.699s
chaiml-elite-feed-convo-7085-v2-mkmlizer: Processed model ChaiML/Elite-Feed-Convo-v2-1e5ep2 in 110.246s
chaiml-elite-feed-convo-7085-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-elite-feed-convo-7085-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-elite-feed-convo-7085-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-elite-feed-convo-7085-v2
chaiml-elite-feed-convo-7085-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-7085-v2/tokenizer_config.json
chaiml-elite-feed-convo-7085-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-7085-v2/tokenizer.json
chaiml-elite-feed-convo-7085-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-elite-feed-convo-7085-v2/flywheel_model.0.safetensors
chaiml-elite-feed-convo-7085-v2-mkmlizer: 
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Job chaiml-elite-feed-convo-7085-v2-mkmlizer completed after 127.03s with status: succeeded
Stopping job with name chaiml-elite-feed-convo-7085-v2-mkmlizer
Pipeline stage MKMLizer completed in 129.57s
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Pipeline stage MKMLTemplater completed in 0.09s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-elite-feed-convo-7085-v2
Waiting for inference service chaiml-elite-feed-convo-7085-v2 to be ready
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Inference service chaiml-elite-feed-convo-7085-v2 ready after 171.17728853225708s
Pipeline stage MKMLDeployer completed in 172.96s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.4553475379943848s
Received healthy response to inference request in 2.513639211654663s
Received healthy response to inference request in 1.618938684463501s
Received healthy response to inference request in 2.108443021774292s
Received healthy response to inference request in 1.7369091510772705s
LLM-Router throws exception AssertionError('LLM-Router predict returns error 504') for ising
5 requests
0 failed requests
5th percentile: 1.6425327777862548
10th percentile: 1.6661268711090087
20th percentile: 1.7133150577545166
30th percentile: 1.8112159252166748
40th percentile: 1.9598294734954833
50th percentile: 2.108443021774292
60th percentile: 2.247204828262329
70th percentile: 2.3859666347503663
80th percentile: 2.4670058727264403
90th percentile: 2.490322542190552
95th percentile: 2.5019808769226075
99th percentile: 2.511307544708252
mean time: 2.086655521392822
Pipeline stage StressChecker completed in 12.54s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 6.48s
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chaiml-elite-feed-convo-_7085_v2 status is now deployed due to DeploymentManager action
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Creating inference service chaiml-elite-feed-convo-7085-v2-profiler
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Inference service chaiml-elite-feed-convo-7085-v2-profiler ready after 170.40781497955322s
Pipeline stage MKMLProfilerDeployer completed in 170.78s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-elite-feed-co7e1b7d0baecf50c85378c2633376b409-deplov84c7:/code/chaiverse_profiler_1726159492 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-elite-feed-co7e1b7d0baecf50c85378c2633376b409-deplov84c7 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726159492 && 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_1726159492/summary.json'
kubectl exec -it chaiml-elite-feed-co7e1b7d0baecf50c85378c2633376b409-deplov84c7 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726159492/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1188.69s
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Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-elite-feed-convo-7085-v2-profiler is running
Tearing down inference service chaiml-elite-feed-convo-7085-v2-profiler
Service chaiml-elite-feed-convo-7085-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.90s
Shutdown handler de-registered
chaiml-elite-feed-convo-_7085_v2 status is now inactive due to auto deactivation removed underperforming models