riverise-feedback-dpo-merged

developer_uid: Riverise
submission_id: riverise-feedback-dpo-merged_v1
model_name: riverise-feedback-dpo-merged_v1
model_group: Riverise/feedback_dpo_me
status: torndown
timestamp: 2024-09-06T12:20:56+00:00
num_battles: 10963
num_wins: 3048
celo_rating: 1061.38
family_friendly_score: 0.0
submission_type: basic
model_repo: Riverise/feedback_dpo_merged
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.8981030187545916, 'latency_mean': 1.1133566474914551, 'latency_p50': 1.1194324493408203, 'latency_p90': 1.2448061943054198}, {'batch_size': 4, 'throughput': 1.7981744673093818, 'latency_mean': 2.2189607203006743, 'latency_p50': 2.243447184562683, 'latency_p90': 2.4765761613845827}, {'batch_size': 5, 'throughput': 1.8745378882816082, 'latency_mean': 2.647966785430908, 'latency_p50': 2.6424962282180786, 'latency_p90': 2.9734248399734495}, {'batch_size': 8, 'throughput': 1.9949388872484262, 'latency_mean': 3.977656475305557, 'latency_p50': 4.017573356628418, 'latency_p90': 4.475029420852661}, {'batch_size': 10, 'throughput': 2.0183863060903953, 'latency_mean': 4.911407153606415, 'latency_p50': 4.921507835388184, 'latency_p90': 5.59112331867218}, {'batch_size': 12, 'throughput': 2.0178312599972137, 'latency_mean': 5.872041561603546, 'latency_p50': 5.8955196142196655, 'latency_p90': 6.800777244567871}, {'batch_size': 15, 'throughput': 2.0149311913159895, 'latency_mean': 7.289120084047317, 'latency_p50': 7.386255979537964, 'latency_p90': 8.09388837814331}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: riverise-feedback-dpo-merged_v1
is_internal_developer: False
language_model: Riverise/feedback_dpo_merged
model_size: 8B
ranking_group: single
throughput_3p7s: 1.99
us_pacific_date: 2024-09-06
win_ratio: 0.27802608774970355
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
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}
Resubmit model
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 riverise-feedback-dpo-merged-v1-mkmlizer
Waiting for job on riverise-feedback-dpo-merged-v1-mkmlizer to finish
riverise-feedback-dpo-merged-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
riverise-feedback-dpo-merged-v1-mkmlizer: ║     _____            __           __                                ║
riverise-feedback-dpo-merged-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
riverise-feedback-dpo-merged-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
riverise-feedback-dpo-merged-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
riverise-feedback-dpo-merged-v1-mkmlizer: ║       /___/                                                         ║
riverise-feedback-dpo-merged-v1-mkmlizer: ║                                                                     ║
riverise-feedback-dpo-merged-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
riverise-feedback-dpo-merged-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
riverise-feedback-dpo-merged-v1-mkmlizer: ║  https://mk1.ai                                                     ║
riverise-feedback-dpo-merged-v1-mkmlizer: ║                                                                     ║
riverise-feedback-dpo-merged-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
riverise-feedback-dpo-merged-v1-mkmlizer: ║  belonging to:                                                      ║
riverise-feedback-dpo-merged-v1-mkmlizer: ║                                                                     ║
riverise-feedback-dpo-merged-v1-mkmlizer: ║  Chai Research Corp.                                                ║
riverise-feedback-dpo-merged-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
riverise-feedback-dpo-merged-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
riverise-feedback-dpo-merged-v1-mkmlizer: ║                                                                     ║
riverise-feedback-dpo-merged-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission zonemercy-base-story-v1_v3: ('http://zonemercy-base-story-v1-v3-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\')]"}')
Failed to get response for submission zonemercy-base-story-v1_v3: ('http://zonemercy-base-story-v1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'upstream connect error or disconnect/reset before headers. reset reason: connection timeout')
riverise-feedback-dpo-merged-v1-mkmlizer: Downloaded to shared memory in 68.009s
riverise-feedback-dpo-merged-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpkx6k086c, device:0
riverise-feedback-dpo-merged-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
riverise-feedback-dpo-merged-v1-mkmlizer: quantized model in 28.783s
riverise-feedback-dpo-merged-v1-mkmlizer: Processed model Riverise/feedback_dpo_merged in 96.792s
riverise-feedback-dpo-merged-v1-mkmlizer: creating bucket guanaco-mkml-models
riverise-feedback-dpo-merged-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
riverise-feedback-dpo-merged-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/riverise-feedback-dpo-merged-v1
Failed to get response for submission zonemercy-base-story-v1_v3: ('http://zonemercy-base-story-v1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'upstream connect error or disconnect/reset before headers. reset reason: connection timeout')
Failed to get response for submission zonemercy-base-story-v1_v2: ('http://zonemercy-base-story-v1-v2-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\')]"}')
Failed to get response for submission zonemercy-base-story-v1_v3: ('http://zonemercy-base-story-v1-v3-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\')]"}')
riverise-feedback-dpo-merged-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-feedback-dpo-merged-v1/tokenizer.json
riverise-feedback-dpo-merged-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/riverise-feedback-dpo-merged-v1/flywheel_model.0.safetensors
riverise-feedback-dpo-merged-v1-mkmlizer: 
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Job riverise-feedback-dpo-merged-v1-mkmlizer completed after 115.66s with status: succeeded
Stopping job with name riverise-feedback-dpo-merged-v1-mkmlizer
Pipeline stage MKMLizer completed in 117.62s
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Creating inference service riverise-feedback-dpo-merged-v1
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Failed to get response for submission zonemercy-lexical-nemo-_1518_v23: ('http://zonemercy-lexical-nemo-1518-v23-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\')]"}')
Failed to get response for submission zonemercy-lexical-nemo-_1518_v23: ('http://zonemercy-lexical-nemo-1518-v23-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\')]"}')
Inference service riverise-feedback-dpo-merged-v1 ready after 150.6088285446167s
Pipeline stage MKMLDeployer completed in 151.14s
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Received healthy response to inference request in 2.017017126083374s
Received healthy response to inference request in 0.8930490016937256s
Received healthy response to inference request in 1.2840838432312012s
Received healthy response to inference request in 1.800973653793335s
Received healthy response to inference request in 1.7653710842132568s
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5th percentile: 0.9712559700012207
10th percentile: 1.0494629383087157
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90th percentile: 1.9305997371673584
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mean time: 1.5520989418029785
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/riverise-feedback-dp64040ed02d9d1301c21b96cb41269068-deploc8pl5:/code/chaiverse_profiler_1725625720 --namespace tenant-chaiml-guanaco
kubectl exec -it riverise-feedback-dp64040ed02d9d1301c21b96cb41269068-deploc8pl5 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725625720 && 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_1725625720/summary.json'
kubectl exec -it riverise-feedback-dp64040ed02d9d1301c21b96cb41269068-deploc8pl5 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725625720/summary.json'
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