submission_id: trace2333-mistral-align-_8132_v7
developer_uid: Trace2333
alignment_samples: 11222
alignment_score: -0.35354935061655823
best_of: 8
celo_rating: 1254.85
display_name: trace2333-mistral-align-_8132_v7
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_align_namo_1448
latencies: [{'batch_size': 1, 'throughput': 0.698919941263286, 'latency_mean': 1.4306890618801118, 'latency_p50': 1.431679129600525, 'latency_p90': 1.5973151922225952}, {'batch_size': 3, 'throughput': 1.3178610587131647, 'latency_mean': 2.2674101042747496, 'latency_p50': 2.264872670173645, 'latency_p90': 2.4825931072235106}, {'batch_size': 5, 'throughput': 1.566135235041807, 'latency_mean': 3.169746096134186, 'latency_p50': 3.1737024784088135, 'latency_p90': 3.5437446355819704}, {'batch_size': 6, 'throughput': 1.6275540781664124, 'latency_mean': 3.658710113763809, 'latency_p50': 3.7068052291870117, 'latency_p90': 4.099413537979126}, {'batch_size': 8, 'throughput': 1.6057175818618394, 'latency_mean': 4.9633654582500455, 'latency_p50': 4.984787106513977, 'latency_p90': 5.616945409774781}, {'batch_size': 10, 'throughput': 1.560080239369783, 'latency_mean': 6.388229593038559, 'latency_p50': 6.393986463546753, 'latency_p90': 7.240326738357544}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Trace2333/mistral_align_
model_name: trace2333-mistral-align-_8132_v7
model_num_parameters: 12772070400.0
model_repo: Trace2333/mistral_align_namo_1448
model_size: 13B
num_battles: 11222
num_wins: 5817
propriety_score: 0.7497393117831074
propriety_total_count: 959.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.64
timestamp: 2024-09-07T05:33:14+00:00
us_pacific_date: 2024-09-06
win_ratio: 0.5183567991445375
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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-align-8132-v7-mkmlizer
Waiting for job on trace2333-mistral-align-8132-v7-mkmlizer to finish
trace2333-mistral-align-8132-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-mistral-align-8132-v7-mkmlizer: ║ _____ __ __ ║
trace2333-mistral-align-8132-v7-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
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trace2333-mistral-align-8132-v7-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
trace2333-mistral-align-8132-v7-mkmlizer: ║ /___/ ║
trace2333-mistral-align-8132-v7-mkmlizer: ║ ║
trace2333-mistral-align-8132-v7-mkmlizer: ║ Version: 0.10.1 ║
trace2333-mistral-align-8132-v7-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
trace2333-mistral-align-8132-v7-mkmlizer: ║ https://mk1.ai ║
trace2333-mistral-align-8132-v7-mkmlizer: ║ ║
trace2333-mistral-align-8132-v7-mkmlizer: ║ The license key for the current software has been verified as ║
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trace2333-mistral-align-8132-v7-mkmlizer: ║ Chai Research Corp. ║
trace2333-mistral-align-8132-v7-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
trace2333-mistral-align-8132-v7-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
trace2333-mistral-align-8132-v7-mkmlizer: ║ ║
trace2333-mistral-align-8132-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-mistral-align-8132-v7-mkmlizer: Downloaded to shared memory in 32.259s
trace2333-mistral-align-8132-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7oxryjv3, device:0
trace2333-mistral-align-8132-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission neversleep-noromaid-v0_8068_v150: ('http://chaiml-llama-8b-pairwis-8189-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:42110->127.0.0.1:8080: read: connection reset by peer\n')
trace2333-mistral-align-8132-v7-mkmlizer: quantized model in 35.592s
trace2333-mistral-align-8132-v7-mkmlizer: Processed model Trace2333/mistral_align_namo_1448 in 67.851s
trace2333-mistral-align-8132-v7-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-align-8132-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-align-8132-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-mistral-align-8132-v7
trace2333-mistral-align-8132-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-mistral-align-8132-v7/config.json
trace2333-mistral-align-8132-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-mistral-align-8132-v7/special_tokens_map.json
trace2333-mistral-align-8132-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-mistral-align-8132-v7/tokenizer_config.json
trace2333-mistral-align-8132-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-mistral-align-8132-v7/tokenizer.json
trace2333-mistral-align-8132-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-align-8132-v7/flywheel_model.0.safetensors
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Job trace2333-mistral-align-8132-v7-mkmlizer completed after 95.37s with status: succeeded
Stopping job with name trace2333-mistral-align-8132-v7-mkmlizer
Pipeline stage MKMLizer completed in 96.72s
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Creating inference service trace2333-mistral-align-8132-v7
Waiting for inference service trace2333-mistral-align-8132-v7 to be ready
Inference service trace2333-mistral-align-8132-v7 ready after 150.40548014640808s
Pipeline stage MKMLDeployer completed in 150.73s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.667208194732666s
Received healthy response to inference request in 2.0761680603027344s
Received healthy response to inference request in 1.911440372467041s
Received healthy response to inference request in 2.264674425125122s
Received healthy response to inference request in 1.800309658050537s
5 requests
0 failed requests
5th percentile: 1.822535800933838
10th percentile: 1.8447619438171388
20th percentile: 1.8892142295837402
30th percentile: 1.9443859100341796
40th percentile: 2.010276985168457
50th percentile: 2.0761680603027344
60th percentile: 2.1515706062316893
70th percentile: 2.2269731521606446
80th percentile: 2.345181179046631
90th percentile: 2.5061946868896485
95th percentile: 2.586701440811157
99th percentile: 2.651106843948364
mean time: 2.14396014213562
Pipeline stage StressChecker completed in 11.41s
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starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 4.69s
Shutdown handler de-registered
trace2333-mistral-align-_8132_v7 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Skipping teardown as no inference service was successfully deployed
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Pipeline stage MKMLProfilerTemplater completed in 0.10s
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Creating inference service trace2333-mistral-align-8132-v7-profiler
Waiting for inference service trace2333-mistral-align-8132-v7-profiler to be ready
Inference service trace2333-mistral-align-8132-v7-profiler ready after 150.3884518146515s
Pipeline stage MKMLProfilerDeployer completed in 150.72s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-al6b634e043fdeb86aa7c23610d0a131ca-deplosz8w2:/code/chaiverse_profiler_1725687644 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-al6b634e043fdeb86aa7c23610d0a131ca-deplosz8w2 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725687644 && 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_1725687644/summary.json'
kubectl exec -it trace2333-mistral-al6b634e043fdeb86aa7c23610d0a131ca-deplosz8w2 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725687644/summary.json'
Pipeline stage MKMLProfilerRunner completed in 946.81s
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Running pipeline stage MKMLProfilerDeleter
Checking if service trace2333-mistral-align-8132-v7-profiler is running
Tearing down inference service trace2333-mistral-align-8132-v7-profiler
Service trace2333-mistral-align-8132-v7-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.80s
Shutdown handler de-registered
trace2333-mistral-align-_8132_v7 status is now inactive due to auto deactivation removed underperforming models

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