submission_id: trace2333-mistral-dpo-trail2_v2
developer_uid: Trace2333
alignment_samples: 11365
alignment_score: -0.26591570207541504
best_of: 8
celo_rating: 1256.73
display_name: trace2333-mistral-dpo-trail2_v2
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': 1.0, 'top_p': 1.0, 'min_p': 0.06, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: Trace2333/mistral_dpo_trail2
latencies: [{'batch_size': 1, 'throughput': 0.6984314751525014, 'latency_mean': 1.4317188358306885, 'latency_p50': 1.4228030443191528, 'latency_p90': 1.5890683650970459}, {'batch_size': 3, 'throughput': 1.3405893508414568, 'latency_mean': 2.236640381813049, 'latency_p50': 2.232417941093445, 'latency_p90': 2.489452362060547}, {'batch_size': 5, 'throughput': 1.5780122066349465, 'latency_mean': 3.1569312870502473, 'latency_p50': 3.16033935546875, 'latency_p90': 3.5947197675704956}, {'batch_size': 6, 'throughput': 1.6224591236275074, 'latency_mean': 3.6621021270751952, 'latency_p50': 3.709444284439087, 'latency_p90': 4.188963484764099}, {'batch_size': 8, 'throughput': 1.6150945359930682, 'latency_mean': 4.9280078411102295, 'latency_p50': 4.956084370613098, 'latency_p90': 5.624430179595947}, {'batch_size': 10, 'throughput': 1.553349684406683, 'latency_mean': 6.387930343151092, 'latency_p50': 6.4569796323776245, 'latency_p90': 7.308911848068237}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Trace2333/mistral_dpo_tr
model_name: trace2333-mistral-dpo-trail2_v2
model_num_parameters: 12772070400.0
model_repo: Trace2333/mistral_dpo_trail2
model_size: 13B
num_battles: 11365
num_wins: 5936
propriety_score: 0.7318087318087318
propriety_total_count: 962.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.64
timestamp: 2024-09-11T04:25:50+00:00
us_pacific_date: 2024-09-10
win_ratio: 0.5223053233611966
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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 trace2333-mistral-dpo-trail2-v2-mkmlizer
Waiting for job on trace2333-mistral-dpo-trail2-v2-mkmlizer to finish
trace2333-mistral-dpo-trail2-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-mistral-dpo-trail2-v2-mkmlizer: ║     _____            __           __                                ║
trace2333-mistral-dpo-trail2-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-mistral-dpo-trail2-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-mistral-dpo-trail2-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-mistral-dpo-trail2-v2-mkmlizer: ║       /___/                                                         ║
trace2333-mistral-dpo-trail2-v2-mkmlizer: ║                                                                     ║
trace2333-mistral-dpo-trail2-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
trace2333-mistral-dpo-trail2-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-mistral-dpo-trail2-v2-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-mistral-dpo-trail2-v2-mkmlizer: ║                                                                     ║
trace2333-mistral-dpo-trail2-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-mistral-dpo-trail2-v2-mkmlizer: ║  belonging to:                                                      ║
trace2333-mistral-dpo-trail2-v2-mkmlizer: ║                                                                     ║
trace2333-mistral-dpo-trail2-v2-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-mistral-dpo-trail2-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-mistral-dpo-trail2-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-mistral-dpo-trail2-v2-mkmlizer: ║                                                                     ║
trace2333-mistral-dpo-trail2-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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trace2333-mistral-dpo-trail2-v2-mkmlizer: Downloaded to shared memory in 29.191s
trace2333-mistral-dpo-trail2-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdmc797u4, device:0
trace2333-mistral-dpo-trail2-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-mistral-dpo-trail2-v2-mkmlizer: quantized model in 34.494s
trace2333-mistral-dpo-trail2-v2-mkmlizer: Processed model Trace2333/mistral_dpo_trail2 in 63.685s
trace2333-mistral-dpo-trail2-v2-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-dpo-trail2-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-dpo-trail2-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-mistral-dpo-trail2-v2
trace2333-mistral-dpo-trail2-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-mistral-dpo-trail2-v2/config.json
trace2333-mistral-dpo-trail2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-mistral-dpo-trail2-v2/tokenizer.json
trace2333-mistral-dpo-trail2-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-dpo-trail2-v2/flywheel_model.0.safetensors
trace2333-mistral-dpo-trail2-v2-mkmlizer: 
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Job trace2333-mistral-dpo-trail2-v2-mkmlizer completed after 84.72s with status: succeeded
Stopping job with name trace2333-mistral-dpo-trail2-v2-mkmlizer
Pipeline stage MKMLizer completed in 85.61s
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Creating inference service trace2333-mistral-dpo-trail2-v2
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Inference service trace2333-mistral-dpo-trail2-v2 ready after 171.70197105407715s
Pipeline stage MKMLDeployer completed in 172.52s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.389510154724121s
Received healthy response to inference request in 2.000657558441162s
Received healthy response to inference request in 2.0514185428619385s
Received healthy response to inference request in 3.0342679023742676s
Received healthy response to inference request in 1.9494690895080566s
5 requests
0 failed requests
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mean time: 2.2850646495819094
Pipeline stage StressChecker completed in 13.42s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 8.86s
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Inference service trace2333-mistral-dpo-trail2-v2-profiler ready after 160.3755795955658s
Pipeline stage MKMLProfilerDeployer completed in 160.73s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-dp24be3044b00bbd44188ef567de61e945-deplo9k84h:/code/chaiverse_profiler_1726029234 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-dp24be3044b00bbd44188ef567de61e945-deplo9k84h --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726029234 && 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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1726029234/summary.json'
kubectl exec -it trace2333-mistral-dp24be3044b00bbd44188ef567de61e945-deplo9k84h --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726029234/summary.json'
Pipeline stage MKMLProfilerRunner completed in 943.95s
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Tearing down inference service trace2333-mistral-dpo-trail2-v2-profiler
Service trace2333-mistral-dpo-trail2-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.84s
Shutdown handler de-registered
trace2333-mistral-dpo-trail2_v2 status is now inactive due to auto deactivation removed underperforming models