submission_id: trace2333-mistral-dpo-trail1_v1
developer_uid: Trace2333
best_of: 8
celo_rating: 1251.31
display_name: trace2333-mistral-dpo-trail1_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': 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_trail1
latencies: [{'batch_size': 1, 'throughput': 0.6926560498524543, 'latency_mean': 1.4436184895038604, 'latency_p50': 1.4449089765548706, 'latency_p90': 1.6152265787124633}, {'batch_size': 3, 'throughput': 1.3211229285979316, 'latency_mean': 2.259089765548706, 'latency_p50': 2.2683931589126587, 'latency_p90': 2.50491316318512}, {'batch_size': 5, 'throughput': 1.5531223386389754, 'latency_mean': 3.194834121465683, 'latency_p50': 3.200039029121399, 'latency_p90': 3.5695685148239136}, {'batch_size': 6, 'throughput': 1.598950392978291, 'latency_mean': 3.730621120929718, 'latency_p50': 3.7412561178207397, 'latency_p90': 4.209634065628052}, {'batch_size': 8, 'throughput': 1.5763131386602682, 'latency_mean': 5.0475011312961575, 'latency_p50': 5.065623998641968, 'latency_p90': 5.682017755508423}, {'batch_size': 10, 'throughput': 1.5451023702651931, 'latency_mean': 6.432719234228134, 'latency_p50': 6.4113689661026, 'latency_p90': 7.2425237655639645}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Trace2333/mistral_dpo_tr
model_name: trace2333-mistral-dpo-trail1_v1
model_num_parameters: 12772070400.0
model_repo: Trace2333/mistral_dpo_trail1
model_size: 13B
num_battles: 11389
num_wins: 5817
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.61
timestamp: 2024-09-10T16:59:23+00:00
us_pacific_date: 2024-09-10
win_ratio: 0.5107559926244623
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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 trace2333-mistral-dpo-trail1-v1-mkmlizer
Waiting for job on trace2333-mistral-dpo-trail1-v1-mkmlizer to finish
Failed to get response for submission blend_gamub_2024-09-09: ('http://chaiml-llama-8b-pairwis-8189-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
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trace2333-mistral-dpo-trail1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-mistral-dpo-trail1-v1-mkmlizer: ║ _____ __ __ ║
trace2333-mistral-dpo-trail1-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
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trace2333-mistral-dpo-trail1-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
trace2333-mistral-dpo-trail1-v1-mkmlizer: ║ /___/ ║
trace2333-mistral-dpo-trail1-v1-mkmlizer: ║ ║
trace2333-mistral-dpo-trail1-v1-mkmlizer: ║ Version: 0.10.1 ║
trace2333-mistral-dpo-trail1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
trace2333-mistral-dpo-trail1-v1-mkmlizer: ║ https://mk1.ai ║
trace2333-mistral-dpo-trail1-v1-mkmlizer: ║ ║
trace2333-mistral-dpo-trail1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
trace2333-mistral-dpo-trail1-v1-mkmlizer: ║ belonging to: ║
trace2333-mistral-dpo-trail1-v1-mkmlizer: ║ ║
trace2333-mistral-dpo-trail1-v1-mkmlizer: ║ Chai Research Corp. ║
trace2333-mistral-dpo-trail1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
trace2333-mistral-dpo-trail1-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
trace2333-mistral-dpo-trail1-v1-mkmlizer: ║ ║
trace2333-mistral-dpo-trail1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Retrying (%r) after connection broken by '%r': %s
trace2333-mistral-dpo-trail1-v1-mkmlizer: Downloaded to shared memory in 48.867s
trace2333-mistral-dpo-trail1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpinxyh3v7, device:0
trace2333-mistral-dpo-trail1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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trace2333-mistral-dpo-trail1-v1-mkmlizer: quantized model in 36.271s
trace2333-mistral-dpo-trail1-v1-mkmlizer: Processed model Trace2333/mistral_dpo_trail1 in 85.139s
trace2333-mistral-dpo-trail1-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-dpo-trail1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-dpo-trail1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-mistral-dpo-trail1-v1
trace2333-mistral-dpo-trail1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-mistral-dpo-trail1-v1/config.json
trace2333-mistral-dpo-trail1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-mistral-dpo-trail1-v1/special_tokens_map.json
trace2333-mistral-dpo-trail1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-mistral-dpo-trail1-v1/tokenizer_config.json
trace2333-mistral-dpo-trail1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-mistral-dpo-trail1-v1/tokenizer.json
trace2333-mistral-dpo-trail1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-dpo-trail1-v1/flywheel_model.0.safetensors
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Job trace2333-mistral-dpo-trail1-v1-mkmlizer completed after 106.95s with status: succeeded
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Failed to get response for submission chaiml-elo-alignment-run-3_v36: ('http://chaiml-elo-alignment-run-3-v36-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:47296->127.0.0.1:8080: read: connection reset by peer\n')
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Inference service trace2333-mistral-dpo-trail1-v1 ready after 334.4732391834259s
Pipeline stage MKMLDeployer completed in 336.71s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.522244453430176s
Received healthy response to inference request in 2.3154265880584717s
Received healthy response to inference request in 1.7571938037872314s
Received healthy response to inference request in 1.6804587841033936s
Received healthy response to inference request in 2.2833642959594727s
5 requests
0 failed requests
5th percentile: 1.6958057880401611
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90th percentile: 2.439517307281494
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99th percentile: 2.5139717388153078
mean time: 2.111737585067749
Pipeline stage StressChecker completed in 11.48s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 6.88s
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Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Creating inference service trace2333-mistral-dpo-trail1-v1-profiler
Waiting for inference service trace2333-mistral-dpo-trail1-v1-profiler to be ready
Inference service trace2333-mistral-dpo-trail1-v1-profiler ready after 160.3967523574829s
Pipeline stage MKMLProfilerDeployer completed in 160.77s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-dp4fce5e8703d5372a25e725a2ec7974bd-deplotkm9t:/code/chaiverse_profiler_1725988234 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-dp4fce5e8703d5372a25e725a2ec7974bd-deplotkm9t --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725988234 && 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_1725988234/summary.json'
kubectl exec -it trace2333-mistral-dp4fce5e8703d5372a25e725a2ec7974bd-deplotkm9t --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725988234/summary.json'
Pipeline stage MKMLProfilerRunner completed in 960.23s
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Running pipeline stage MKMLProfilerDeleter
Checking if service trace2333-mistral-dpo-trail1-v1-profiler is running
Tearing down inference service trace2333-mistral-dpo-trail1-v1-profiler
Service trace2333-mistral-dpo-trail1-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.27s
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trace2333-mistral-dpo-trail1_v1 status is now inactive due to auto deactivation removed underperforming models
trace2333-mistral-dpo-trail1_v1 status is now torndown due to DeploymentManager action