developer_uid: zonemercy
submission_id: chaiml-elite-feed-convo-_1831_v1
model_name: chaiml-elite-feed-convo-_1831_v1
model_group: ChaiML/Elite-Feed-Convo-
status: torndown
timestamp: 2024-09-12T19:52:50+00:00
num_battles: 10827
num_wins: 5586
celo_rating: 1253.12
family_friendly_score: 0.0
submission_type: basic
model_repo: ChaiML/Elite-Feed-Convo-v2-1e5ep1
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6125299876702663, 'latency_mean': 1.6324709224700928, 'latency_p50': 1.6429740190505981, 'latency_p90': 1.7875160694122314}, {'batch_size': 3, 'throughput': 1.091343530720679, 'latency_mean': 2.7425295996665953, 'latency_p50': 2.7402766942977905, 'latency_p90': 3.0012779235839844}, {'batch_size': 5, 'throughput': 1.2399254215560975, 'latency_mean': 4.0164690482616425, 'latency_p50': 4.028828263282776, 'latency_p90': 4.503456401824951}, {'batch_size': 6, 'throughput': 1.2711678718592725, 'latency_mean': 4.716579804420471, 'latency_p50': 4.6999441385269165, 'latency_p90': 5.332068371772766}, {'batch_size': 8, 'throughput': 1.2567427948508059, 'latency_mean': 6.33377210855484, 'latency_p50': 6.392281532287598, 'latency_p90': 7.1344249725341795}, {'batch_size': 10, 'throughput': 1.206994040195272, 'latency_mean': 8.241184388399125, 'latency_p50': 8.276776671409607, 'latency_p90': 9.402438402175903}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-elite-feed-convo-_1831_v1
is_internal_developer: True
language_model: ChaiML/Elite-Feed-Convo-v2-1e5ep1
model_size: 13B
ranking_group: single
throughput_3p7s: 1.22
us_pacific_date: 2024-09-12
win_ratio: 0.5159323912441119
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}
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}
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name chaiml-elite-feed-convo-1831-v1-mkmlizer
Waiting for job on chaiml-elite-feed-convo-1831-v1-mkmlizer to finish
chaiml-elite-feed-convo-1831-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-elite-feed-convo-1831-v1-mkmlizer: ║ _____ __ __ ║
chaiml-elite-feed-convo-1831-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-elite-feed-convo-1831-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-elite-feed-convo-1831-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-elite-feed-convo-1831-v1-mkmlizer: ║ /___/ ║
chaiml-elite-feed-convo-1831-v1-mkmlizer: ║ ║
chaiml-elite-feed-convo-1831-v1-mkmlizer: ║ Version: 0.10.1 ║
chaiml-elite-feed-convo-1831-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-elite-feed-convo-1831-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-elite-feed-convo-1831-v1-mkmlizer: ║ ║
chaiml-elite-feed-convo-1831-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-elite-feed-convo-1831-v1-mkmlizer: ║ belonging to: ║
chaiml-elite-feed-convo-1831-v1-mkmlizer: ║ ║
chaiml-elite-feed-convo-1831-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-elite-feed-convo-1831-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-elite-feed-convo-1831-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
chaiml-elite-feed-convo-1831-v1-mkmlizer: ║ ║
chaiml-elite-feed-convo-1831-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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chaiml-elite-feed-convo-1831-v1-mkmlizer: Downloaded to shared memory in 97.434s
chaiml-elite-feed-convo-1831-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmps0zo6jid, device:0
chaiml-elite-feed-convo-1831-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-elite-feed-convo-1831-v1-mkmlizer: quantized model in 40.397s
chaiml-elite-feed-convo-1831-v1-mkmlizer: Processed model ChaiML/Elite-Feed-Convo-v2-1e5ep1 in 137.831s
chaiml-elite-feed-convo-1831-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-elite-feed-convo-1831-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-elite-feed-convo-1831-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-elite-feed-convo-1831-v1
chaiml-elite-feed-convo-1831-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-1831-v1/config.json
chaiml-elite-feed-convo-1831-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-1831-v1/special_tokens_map.json
chaiml-elite-feed-convo-1831-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-1831-v1/tokenizer_config.json
chaiml-elite-feed-convo-1831-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-1831-v1/tokenizer.json
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Job chaiml-elite-feed-convo-1831-v1-mkmlizer completed after 168.24s with status: succeeded
Stopping job with name chaiml-elite-feed-convo-1831-v1-mkmlizer
Pipeline stage MKMLizer completed in 169.22s
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Inference service chaiml-elite-feed-convo-1831-v1 ready after 181.48449516296387s
Pipeline stage MKMLDeployer completed in 183.36s
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Received healthy response to inference request in 2.9150631427764893s
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Received healthy response to inference request in 1.8569133281707764s
Received healthy response to inference request in 1.7013885974884033s
Received healthy response to inference request in 1.739922285079956s
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5th percentile: 1.709095335006714
10th percentile: 1.7168020725250244
20th percentile: 1.7322155475616454
30th percentile: 1.7633204936981202
40th percentile: 1.8101169109344482
50th percentile: 1.8569133281707764
60th percentile: 1.8803314685821533
70th percentile: 1.9037496089935302
80th percentile: 2.115379571914673
90th percentile: 2.515221357345581
95th percentile: 2.715142250061035
99th percentile: 2.8750789642333983
mean time: 2.0257492065429688
Pipeline stage StressChecker completed in 11.13s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-elite-feed-co8e80779bfd2c3394b59373af0d1636a6-deplocgh4v:/code/chaiverse_profiler_1726171358 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-elite-feed-co8e80779bfd2c3394b59373af0d1636a6-deplocgh4v --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726171358 && 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_1726171358/summary.json'
kubectl exec -it chaiml-elite-feed-co8e80779bfd2c3394b59373af0d1636a6-deplocgh4v --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726171358/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1159.60s
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admin requested tearing down of chaiml-elo-alignment-run-3_v45
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