rirv938-mistral-22b-14k-_7315

developer_uid: robert_irvine
submission_id: rirv938-mistral-22b-14k-_7315_v1
model_name: rirv938-mistral-22b-14k-_7315_v1
model_group: rirv938/mistral_22b_14k_
status: torndown
timestamp: 2024-09-23T19:59:52+00:00
num_battles: 12544
num_wins: 6286
celo_rating: 1238.44
family_friendly_score: 0.0
submission_type: basic
model_repo: rirv938/mistral_22b_14k_virgo_edit_step_218
model_architecture: MistralForCausalLM
model_num_parameters: 22247282688.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.38333705834425547, 'latency_mean': 2.608588706254959, 'latency_p50': 2.5921443700790405, 'latency_p90': 2.889624834060669}, {'batch_size': 2, 'throughput': 0.6061158602794144, 'latency_mean': 3.2881222665309906, 'latency_p50': 3.2695276737213135, 'latency_p90': 3.636232042312622}, {'batch_size': 3, 'throughput': 0.7629446870131456, 'latency_mean': 3.9230464255809783, 'latency_p50': 3.9496201276779175, 'latency_p90': 4.233423018455506}, {'batch_size': 4, 'throughput': 0.8847099052739901, 'latency_mean': 4.494706175327301, 'latency_p50': 4.526328921318054, 'latency_p90': 5.007025408744812}, {'batch_size': 5, 'throughput': 0.9786732684477518, 'latency_mean': 5.073812328577041, 'latency_p50': 5.078592658042908, 'latency_p90': 5.608071422576904}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: rirv938-mistral-22b-14k-_7315_v1
is_internal_developer: True
language_model: rirv938/mistral_22b_14k_virgo_edit_step_218
model_size: 22B
ranking_group: single
throughput_3p7s: 0.72
us_pacific_date: 2024-09-23
win_ratio: 0.5011160714285714
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', '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 rirv938-mistral-22b-14k-7315-v1-mkmlizer
Waiting for job on rirv938-mistral-22b-14k-7315-v1-mkmlizer to finish
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ║     _____            __           __                                ║
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ║       /___/                                                         ║
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ║                                                                     ║
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ║                                                                     ║
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ║  belonging to:                                                      ║
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ║                                                                     ║
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ║                                                                     ║
rirv938-mistral-22b-14k-7315-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
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Retrying (%r) after connection broken by '%r': %s
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rirv938-mistral-22b-14k-7315-v1-mkmlizer: Downloaded to shared memory in 170.019s
rirv938-mistral-22b-14k-7315-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpk8l6o3kd, device:0
rirv938-mistral-22b-14k-7315-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rirv938-mistral-22b-14k-7315-v1-mkmlizer: quantized model in 50.669s
rirv938-mistral-22b-14k-7315-v1-mkmlizer: Processed model rirv938/mistral_22b_14k_virgo_edit_step_218 in 220.688s
rirv938-mistral-22b-14k-7315-v1-mkmlizer: creating bucket guanaco-mkml-models
rirv938-mistral-22b-14k-7315-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-mistral-22b-14k-7315-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-mistral-22b-14k-7315-v1
rirv938-mistral-22b-14k-7315-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-mistral-22b-14k-7315-v1/config.json
rirv938-mistral-22b-14k-7315-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-mistral-22b-14k-7315-v1/special_tokens_map.json
rirv938-mistral-22b-14k-7315-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-mistral-22b-14k-7315-v1/tokenizer_config.json
rirv938-mistral-22b-14k-7315-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-mistral-22b-14k-7315-v1/tokenizer.json
rirv938-mistral-22b-14k-7315-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/rirv938-mistral-22b-14k-7315-v1/flywheel_model.1.safetensors
rirv938-mistral-22b-14k-7315-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-mistral-22b-14k-7315-v1/flywheel_model.0.safetensors
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Job rirv938-mistral-22b-14k-7315-v1-mkmlizer completed after 251.42s with status: succeeded
Stopping job with name rirv938-mistral-22b-14k-7315-v1-mkmlizer
Pipeline stage MKMLizer completed in 252.58s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service rirv938-mistral-22b-14k-7315-v1
Waiting for inference service rirv938-mistral-22b-14k-7315-v1 to be ready
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Inference service rirv938-mistral-22b-14k-7315-v1 ready after 192.60436606407166s
Pipeline stage MKMLDeployer completed in 193.50s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1247758865356445s
Received healthy response to inference request in 1.6475920677185059s
Received healthy response to inference request in 3.875976085662842s
Received healthy response to inference request in 2.922929525375366s
Received healthy response to inference request in 2.92987060546875s
5 requests
0 failed requests
5th percentile: 1.7430288314819335
10th percentile: 1.8384655952453612
20th percentile: 2.0293391227722166
30th percentile: 2.284406614303589
40th percentile: 2.6036680698394776
50th percentile: 2.922929525375366
60th percentile: 2.9257059574127195
70th percentile: 2.9284823894500733
80th percentile: 3.1190917015075685
90th percentile: 3.497533893585205
95th percentile: 3.6867549896240233
99th percentile: 3.838131866455078
mean time: 2.7002288341522216
Pipeline stage StressChecker completed in 14.25s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 5.42s
Shutdown handler de-registered
rirv938-mistral-22b-14k-_7315_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service rirv938-mistral-22b-14k-7315-v1-profiler
Waiting for inference service rirv938-mistral-22b-14k-7315-v1-profiler to be ready
Inference service rirv938-mistral-22b-14k-7315-v1-profiler ready after 190.42374300956726s
Pipeline stage MKMLProfilerDeployer completed in 190.79s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rirv938-mistral-22b-66166843cbf82bef4d6335f7fb8f9559-deplog9hvt:/code/chaiverse_profiler_1727122296 --namespace tenant-chaiml-guanaco
kubectl exec -it rirv938-mistral-22b-66166843cbf82bef4d6335f7fb8f9559-deplog9hvt --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727122296 && 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_1727122296/summary.json'
kubectl exec -it rirv938-mistral-22b-66166843cbf82bef4d6335f7fb8f9559-deplog9hvt --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727122296/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1549.53s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-mistral-22b-14k-7315-v1-profiler is running
Tearing down inference service rirv938-mistral-22b-14k-7315-v1-profiler
Service rirv938-mistral-22b-14k-7315-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.91s
Shutdown handler de-registered
rirv938-mistral-22b-14k-_7315_v1 status is now inactive due to auto deactivation removed underperforming models
rirv938-mistral-22b-14k-_7315_v1 status is now torndown due to DeploymentManager action
Shutdown handler not registered because Python interpreter is not running in the main thread