riverise-mistral-0920-7872

developer_uid: Riverise

submission_id: riverise-mistral-0920-7872_v1

model_name: riverise-mistral-0920-7872_v1

model_group: Riverise/mistral_0920_78

status: torndown

timestamp: 2024-09-22T08:59:27+00:00

num_battles: 202099

num_wins: 103295

celo_rating: 1254.42

family_friendly_score: 0.0

submission_type: basic

model_repo: Riverise/mistral_0920_7872

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6143746031998439, 'latency_mean': 1.6276122760772704, 'latency_p50': 1.6350226402282715, 'latency_p90': 1.7838253021240233}, {'batch_size': 3, 'throughput': 1.088176573651834, 'latency_mean': 2.7455074799060823, 'latency_p50': 2.746282935142517, 'latency_p90': 2.9900617361068726}, {'batch_size': 5, 'throughput': 1.2428674977269973, 'latency_mean': 3.9968495774269104, 'latency_p50': 3.9980242252349854, 'latency_p90': 4.462361359596253}, {'batch_size': 6, 'throughput': 1.2635848858972984, 'latency_mean': 4.722403242588043, 'latency_p50': 4.749128937721252, 'latency_p90': 5.2368889331817625}, {'batch_size': 8, 'throughput': 1.2519797677958089, 'latency_mean': 6.354529765844345, 'latency_p50': 6.315898418426514, 'latency_p90': 7.13444972038269}, {'batch_size': 10, 'throughput': 1.2088969484888212, 'latency_mean': 8.216945519447327, 'latency_p50': 8.344471454620361, 'latency_p90': 9.184024429321289}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: riverise-mistral-0920-7872_v1

is_internal_developer: False

language_model: Riverise/mistral_0920_7872

model_size: 13B

ranking_group: single

throughput_3p7s: 1.22

us_pacific_date: 2024-09-22

win_ratio: 0.5111108911968887

generation_params: {'temperature': 1.15, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, '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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name riverise-mistral-0920-7872-v1-mkmlizer
Waiting for job on riverise-mistral-0920-7872-v1-mkmlizer to finish
riverise-mistral-0920-7872-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
riverise-mistral-0920-7872-v1-mkmlizer: ║     _____            __           __                                ║
riverise-mistral-0920-7872-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
riverise-mistral-0920-7872-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
riverise-mistral-0920-7872-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
riverise-mistral-0920-7872-v1-mkmlizer: ║       /___/                                                         ║
riverise-mistral-0920-7872-v1-mkmlizer: ║                                                                     ║
riverise-mistral-0920-7872-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
riverise-mistral-0920-7872-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
riverise-mistral-0920-7872-v1-mkmlizer: ║  https://mk1.ai                                                     ║
riverise-mistral-0920-7872-v1-mkmlizer: ║                                                                     ║
riverise-mistral-0920-7872-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
riverise-mistral-0920-7872-v1-mkmlizer: ║  belonging to:                                                      ║
riverise-mistral-0920-7872-v1-mkmlizer: ║                                                                     ║
riverise-mistral-0920-7872-v1-mkmlizer: ║  Chai Research Corp.                                                ║
riverise-mistral-0920-7872-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
riverise-mistral-0920-7872-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
riverise-mistral-0920-7872-v1-mkmlizer: ║                                                                     ║
riverise-mistral-0920-7872-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
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riverise-mistral-0920-7872-v1-mkmlizer: Downloaded to shared memory in 44.724s
riverise-mistral-0920-7872-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmphrsvd1zh, device:0
riverise-mistral-0920-7872-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
riverise-mistral-0920-7872-v1-mkmlizer: quantized model in 35.221s
riverise-mistral-0920-7872-v1-mkmlizer: Processed model Riverise/mistral_0920_7872 in 79.945s
riverise-mistral-0920-7872-v1-mkmlizer: creating bucket guanaco-mkml-models
riverise-mistral-0920-7872-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
riverise-mistral-0920-7872-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/riverise-mistral-0920-7872-v1
riverise-mistral-0920-7872-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/riverise-mistral-0920-7872-v1/config.json
riverise-mistral-0920-7872-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/riverise-mistral-0920-7872-v1/special_tokens_map.json
riverise-mistral-0920-7872-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-mistral-0920-7872-v1/tokenizer.json
riverise-mistral-0920-7872-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/riverise-mistral-0920-7872-v1/flywheel_model.0.safetensors
riverise-mistral-0920-7872-v1-mkmlizer: 
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Job riverise-mistral-0920-7872-v1-mkmlizer completed after 103.68s with status: succeeded
Stopping job with name riverise-mistral-0920-7872-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.00s
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Inference service riverise-mistral-0920-7872-v1 ready after 190.96464562416077s
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Received healthy response to inference request in 2.757932424545288s
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Received healthy response to inference request in 1.8983352184295654s
Received healthy response to inference request in 2.2660253047943115s
Received healthy response to inference request in 2.8235976696014404s
5 requests
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mean time: 2.400744676589966
Pipeline stage StressChecker completed in 12.95s
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Inference service riverise-mistral-0920-7872-v1-profiler ready after 190.43330645561218s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/riverise-mistral-0925e22b1ed560322ef79983bb028274bb5-deplo46gdg:/code/chaiverse_profiler_1726996116 --namespace tenant-chaiml-guanaco
kubectl exec -it riverise-mistral-0925e22b1ed560322ef79983bb028274bb5-deplo46gdg --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726996116 && 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 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726996116/summary.json'
kubectl exec -it riverise-mistral-0925e22b1ed560322ef79983bb028274bb5-deplo46gdg --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726996116/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1159.79s
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Pipeline stage MKMLModelDeleter completed in 6.12s
riverise-mistral-0920-7872_v1 status is now torndown due to DeploymentManager action