submission_id: chaiml-elite-feed-convo-_6421_v3
developer_uid: zonemercy
alignment_samples: 9619
alignment_score: 0.1729097872067082
best_of: 8
celo_rating: 1248.59
display_name: chaiml-elite-feed-convo-_6421_v3
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '{user_name}: {message}</s>', 'response_template': '{bot_name}:', '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': 0.6111517454823557, 'latency_mean': 1.6361552441120149, 'latency_p50': 1.6371209621429443, 'latency_p90': 1.8051183223724365}, {'batch_size': 3, 'throughput': 1.074672195058923, 'latency_mean': 2.7807774639129637, 'latency_p50': 2.804813265800476, 'latency_p90': 3.055549168586731}, {'batch_size': 5, 'throughput': 1.2281019062196155, 'latency_mean': 4.05527534365654, 'latency_p50': 4.083346724510193, 'latency_p90': 4.4319652080535885}, {'batch_size': 6, 'throughput': 1.2454499903652392, 'latency_mean': 4.8008143579959865, 'latency_p50': 4.8062169551849365, 'latency_p90': 5.439336085319519}, {'batch_size': 8, 'throughput': 1.238599178001544, 'latency_mean': 6.429672298431396, 'latency_p50': 6.453313231468201, 'latency_p90': 7.1483069896698}, {'batch_size': 10, 'throughput': 1.199156580000576, 'latency_mean': 8.293767740726471, 'latency_p50': 8.301735639572144, 'latency_p90': 9.408788967132567}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: ChaiML/Elite-Feed-Convo-
model_name: chaiml-elite-feed-convo-_6421_v3
model_num_parameters: 12772070400.0
model_repo: ChaiML/Elite-Feed-Convo-v3-1e5
model_size: 13B
num_battles: 9619
num_wins: 4897
propriety_score: 0.7369033760186263
propriety_total_count: 859.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.2
timestamp: 2024-09-13T08:53:24+00:00
us_pacific_date: 2024-09-13
win_ratio: 0.509096579686038
Download Preference Data
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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-v3-mkmlizer
Waiting for job on chaiml-elite-feed-convo-6421-v3-mkmlizer to finish
chaiml-elite-feed-convo-6421-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-elite-feed-convo-6421-v3-mkmlizer: ║     _____            __           __                                ║
chaiml-elite-feed-convo-6421-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-elite-feed-convo-6421-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-elite-feed-convo-6421-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-elite-feed-convo-6421-v3-mkmlizer: ║       /___/                                                         ║
chaiml-elite-feed-convo-6421-v3-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-6421-v3-mkmlizer: ║  Version: 0.10.1                                                    ║
chaiml-elite-feed-convo-6421-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-elite-feed-convo-6421-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-elite-feed-convo-6421-v3-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-6421-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-elite-feed-convo-6421-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-elite-feed-convo-6421-v3-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-6421-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-elite-feed-convo-6421-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-elite-feed-convo-6421-v3-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
chaiml-elite-feed-convo-6421-v3-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-6421-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-elite-feed-convo-6421-v3-mkmlizer: Downloaded to shared memory in 28.722s
chaiml-elite-feed-convo-6421-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2h7ric_9, device:0
chaiml-elite-feed-convo-6421-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-elite-feed-convo-6421-v3-mkmlizer: quantized model in 35.069s
chaiml-elite-feed-convo-6421-v3-mkmlizer: Processed model ChaiML/Elite-Feed-Convo-v3-1e5 in 63.791s
chaiml-elite-feed-convo-6421-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-elite-feed-convo-6421-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-elite-feed-convo-6421-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-elite-feed-convo-6421-v3
chaiml-elite-feed-convo-6421-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-6421-v3/config.json
chaiml-elite-feed-convo-6421-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-6421-v3/special_tokens_map.json
chaiml-elite-feed-convo-6421-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-6421-v3/tokenizer_config.json
chaiml-elite-feed-convo-6421-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-6421-v3/tokenizer.json
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chaiml-elite-feed-convo-6421-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-elite-feed-convo-6421-v3/flywheel_model.0.safetensors
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Job chaiml-elite-feed-convo-6421-v3-mkmlizer completed after 84.76s with status: succeeded
Stopping job with name chaiml-elite-feed-convo-6421-v3-mkmlizer
Pipeline stage MKMLizer completed in 85.99s
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Pipeline stage MKMLTemplater completed in 0.10s
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Creating inference service chaiml-elite-feed-convo-6421-v3
Waiting for inference service chaiml-elite-feed-convo-6421-v3 to be ready
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Inference service chaiml-elite-feed-convo-6421-v3 ready after 181.4813928604126s
Pipeline stage MKMLDeployer completed in 181.83s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.2576801776885986s
Received healthy response to inference request in 2.2648684978485107s
Received healthy response to inference request in 2.031376600265503s
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Received healthy response to inference request in 1.7967901229858398s
Received healthy response to inference request in 1.5308163166046143s
5 requests
0 failed requests
5th percentile: 1.5840110778808594
10th percentile: 1.6372058391571045
20th percentile: 1.7435953617095947
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95th percentile: 3.059117841720581
99th percentile: 3.217967710494995
mean time: 2.1763063430786134
Pipeline stage StressChecker completed in 11.62s
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chaiml-elite-feed-convo-_6421_v3 status is now deployed due to DeploymentManager action
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Creating inference service chaiml-elite-feed-convo-6421-v3-profiler
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Inference service chaiml-elite-feed-convo-6421-v3-profiler ready after 180.42064905166626s
Pipeline stage MKMLProfilerDeployer completed in 180.81s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-elite-feed-co932f48dc9dd3dbf654bba8fc8e792fa4-deplobn4pq:/code/chaiverse_profiler_1726218118 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-elite-feed-co932f48dc9dd3dbf654bba8fc8e792fa4-deplobn4pq --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726218118 && 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_1726218118/summary.json'
kubectl exec -it chaiml-elite-feed-co932f48dc9dd3dbf654bba8fc8e792fa4-deplobn4pq --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726218118/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1172.03s
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Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-elite-feed-convo-6421-v3-profiler is running
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Service chaiml-elite-feed-convo-6421-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.29s
Shutdown handler de-registered
chaiml-elite-feed-convo-_6421_v3 status is now inactive due to auto deactivation removed underperforming models