chaiml-elite-feed-convo-_6421

submission_id: chaiml-elite-feed-convo-_6421_v1

developer_uid: zonemercy

alignment_samples: 11671

alignment_score: 0.5729865097679862

best_of: 8

celo_rating: 1255.26

display_name: chaiml-elite-feed-convo-_6421_v1

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-v3-1e5

latencies: [{'batch_size': 1, 'throughput': 0.6149755835146925, 'latency_mean': 1.626019080877304, 'latency_p50': 1.625543475151062, 'latency_p90': 1.7887792110443115}, {'batch_size': 3, 'throughput': 1.0646980275151998, 'latency_mean': 2.8069038689136505, 'latency_p50': 2.7943729162216187, 'latency_p90': 3.1033013343811033}, {'batch_size': 5, 'throughput': 1.2141791686671983, 'latency_mean': 4.095050222873688, 'latency_p50': 4.09239137172699, 'latency_p90': 4.5702873229980465}, {'batch_size': 6, 'throughput': 1.2498808430484287, 'latency_mean': 4.783984555006027, 'latency_p50': 4.81391453742981, 'latency_p90': 5.414914298057556}, {'batch_size': 8, 'throughput': 1.2354716057905155, 'latency_mean': 6.436947849988937, 'latency_p50': 6.438076019287109, 'latency_p90': 7.292008757591248}, {'batch_size': 10, 'throughput': 1.1972774508210435, 'latency_mean': 8.30946983218193, 'latency_p50': 8.284468293190002, 'latency_p90': 9.439508223533629}]

max_input_tokens: 1024

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: ChaiML/Elite-Feed-Convo-

model_name: chaiml-elite-feed-convo-_6421_v1

model_num_parameters: 12772070400.0

model_repo: ChaiML/Elite-Feed-Convo-v3-1e5

model_size: 13B

num_battles: 11670

num_wins: 6062

propriety_score: 0.7386253630203291

propriety_total_count: 1033.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 1.19

timestamp: 2024-09-12T19:48:10+00:00

us_pacific_date: 2024-09-12

win_ratio: 0.5194515852613539

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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-6421-v1-mkmlizer
Waiting for job on chaiml-elite-feed-convo-6421-v1-mkmlizer to finish
chaiml-elite-feed-convo-6421-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-elite-feed-convo-6421-v1-mkmlizer: ║     _____            __           __                                ║
chaiml-elite-feed-convo-6421-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-elite-feed-convo-6421-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-elite-feed-convo-6421-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-elite-feed-convo-6421-v1-mkmlizer: ║       /___/                                                         ║
chaiml-elite-feed-convo-6421-v1-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-6421-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
chaiml-elite-feed-convo-6421-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-elite-feed-convo-6421-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-elite-feed-convo-6421-v1-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-6421-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-elite-feed-convo-6421-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-elite-feed-convo-6421-v1-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-6421-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-elite-feed-convo-6421-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-elite-feed-convo-6421-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
chaiml-elite-feed-convo-6421-v1-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-6421-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-elite-feed-convo-6421-v1-mkmlizer: Downloaded to shared memory in 47.388s
chaiml-elite-feed-convo-6421-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpvrkvjdvu, device:0
chaiml-elite-feed-convo-6421-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-elite-feed-convo-6421-v1-mkmlizer: quantized model in 36.823s
chaiml-elite-feed-convo-6421-v1-mkmlizer: Processed model ChaiML/Elite-Feed-Convo-v3-1e5 in 84.211s
chaiml-elite-feed-convo-6421-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-elite-feed-convo-6421-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-elite-feed-convo-6421-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-elite-feed-convo-6421-v1
chaiml-elite-feed-convo-6421-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-6421-v1/special_tokens_map.json
chaiml-elite-feed-convo-6421-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-6421-v1/tokenizer_config.json
chaiml-elite-feed-convo-6421-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-6421-v1/tokenizer.json
chaiml-elite-feed-convo-6421-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-elite-feed-convo-6421-v1/flywheel_model.0.safetensors
chaiml-elite-feed-convo-6421-v1-mkmlizer: 
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Job chaiml-elite-feed-convo-6421-v1-mkmlizer completed after 116.24s with status: succeeded
Stopping job with name chaiml-elite-feed-convo-6421-v1-mkmlizer
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Creating inference service chaiml-elite-feed-convo-6421-v1
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Inference service chaiml-elite-feed-convo-6421-v1 ready after 170.8880636692047s
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Received healthy response to inference request in 2.30863356590271s
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Inference service chaiml-elite-feed-convo-6421-v1-profiler ready after 172.6002070903778s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-elite-feed-co4d58863bf35391da20103a6b3341a4a8-deplozprrx:/code/chaiverse_profiler_1726171014 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-elite-feed-co4d58863bf35391da20103a6b3341a4a8-deplozprrx --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726171014 && 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_1726171014/summary.json'
kubectl exec -it chaiml-elite-feed-co4d58863bf35391da20103a6b3341a4a8-deplozprrx --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726171014/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1173.36s
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Pipeline stage MKMLProfilerDeleter completed in 2.20s
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chaiml-elite-feed-convo-_6421_v1 status is now inactive due to auto deactivation removed underperforming models