submission_id: rica40325-alignment-first_v5
developer_uid: rica40325
best_of: 16
celo_rating: 1256.51
display_name: rica40325-alignment-first_v1
family_friendly_score: 0.0
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}
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.1, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: rica40325/alignment-first
latencies: [{'batch_size': 1, 'throughput': 0.8974703958808795, 'latency_mean': 1.1141666388511657, 'latency_p50': 1.111735463142395, 'latency_p90': 1.2480170249938964}, {'batch_size': 4, 'throughput': 1.7930073464155671, 'latency_mean': 2.219855959415436, 'latency_p50': 2.2177915573120117, 'latency_p90': 2.520109939575195}, {'batch_size': 5, 'throughput': 1.887649204895307, 'latency_mean': 2.637069123983383, 'latency_p50': 2.649609923362732, 'latency_p90': 2.9727932929992678}, {'batch_size': 8, 'throughput': 1.9964281044612457, 'latency_mean': 3.9748472952842713, 'latency_p50': 3.981834650039673, 'latency_p90': 4.3863986253738405}, {'batch_size': 10, 'throughput': 2.008956172217504, 'latency_mean': 4.932135363817215, 'latency_p50': 4.942706227302551, 'latency_p90': 5.586367106437683}, {'batch_size': 12, 'throughput': 2.018426022898057, 'latency_mean': 5.868745644092559, 'latency_p50': 5.800716161727905, 'latency_p90': 6.869357275962829}, {'batch_size': 15, 'throughput': 2.0318099815022537, 'latency_mean': 7.229569239616394, 'latency_p50': 7.373707890510559, 'latency_p90': 8.045705938339234}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: rica40325/alignment-firs
model_name: rica40325-alignment-first_v1
model_num_parameters: 8030261248.0
model_repo: rica40325/alignment-first
model_size: 8B
num_battles: 17812
num_wins: 9295
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 2.0
timestamp: 2024-09-08T12:04:01+00:00
us_pacific_date: 2024-09-08
win_ratio: 0.5218392095216707
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Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name rica40325-alignment-first-v5-mkmlizer
Waiting for job on rica40325-alignment-first-v5-mkmlizer to finish
rica40325-alignment-first-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-alignment-first-v5-mkmlizer: ║ _____ __ __ ║
rica40325-alignment-first-v5-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rica40325-alignment-first-v5-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rica40325-alignment-first-v5-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rica40325-alignment-first-v5-mkmlizer: ║ /___/ ║
rica40325-alignment-first-v5-mkmlizer: ║ ║
rica40325-alignment-first-v5-mkmlizer: ║ Version: 0.10.1 ║
rica40325-alignment-first-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rica40325-alignment-first-v5-mkmlizer: ║ https://mk1.ai ║
rica40325-alignment-first-v5-mkmlizer: ║ ║
rica40325-alignment-first-v5-mkmlizer: ║ The license key for the current software has been verified as ║
rica40325-alignment-first-v5-mkmlizer: ║ belonging to: ║
rica40325-alignment-first-v5-mkmlizer: ║ ║
rica40325-alignment-first-v5-mkmlizer: ║ Chai Research Corp. ║
rica40325-alignment-first-v5-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rica40325-alignment-first-v5-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
rica40325-alignment-first-v5-mkmlizer: ║ ║
rica40325-alignment-first-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-alignment-first-v5-mkmlizer: Downloaded to shared memory in 20.910s
rica40325-alignment-first-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpydlxbxe_, device:0
rica40325-alignment-first-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-alignment-first-v5-mkmlizer: creating bucket guanaco-mkml-models
rica40325-alignment-first-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-alignment-first-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-alignment-first-v5
rica40325-alignment-first-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-alignment-first-v5/config.json
rica40325-alignment-first-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-alignment-first-v5/special_tokens_map.json
rica40325-alignment-first-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-alignment-first-v5/tokenizer_config.json
rica40325-alignment-first-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-alignment-first-v5/tokenizer.json
rica40325-alignment-first-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-alignment-first-v5/flywheel_model.0.safetensors
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Job rica40325-alignment-first-v5-mkmlizer completed after 63.88s with status: succeeded
Stopping job with name rica40325-alignment-first-v5-mkmlizer
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Inference service rica40325-alignment-first-v5 ready after 141.06997346878052s
Pipeline stage MKMLDeployer completed in 141.47s
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Received healthy response to inference request in 2.037132501602173s
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Inference service rica40325-alignment-first-v5-profiler ready after 150.35165977478027s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-alignment-6886a598393435557e8ab9e6cd0ba782-deplodt8bs:/code/chaiverse_profiler_1725797458 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-alignment-6886a598393435557e8ab9e6cd0ba782-deplodt8bs --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725797458 && python profiles.py profile --best_of_n 16 --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_1725797458/summary.json'
kubectl exec -it rica40325-alignment-6886a598393435557e8ab9e6cd0ba782-deplodt8bs --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725797458/summary.json'
Pipeline stage MKMLProfilerRunner completed in 846.12s
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