mistralai-mixtral-8x7b_3473

developer_uid: azuruce
submission_id: mistralai-mixtral-8x7b_3473_v132
model_name: mistralai-mixtral-8x7b_3473
model_group: mistralai/Mixtral-8x7B-I
status: torndown
timestamp: 2024-09-04T21:27:48+00:00
num_battles: 14498
num_wins: 6349
celo_rating: 1192.88
family_friendly_score: 0.0
submission_type: basic
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
model_architecture: MixtralForCausalLM
model_num_parameters: 46702792704.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.4702580905297367, 'latency_mean': 2.1264255917072297, 'latency_p50': 2.113202214241028, 'latency_p90': 2.4163472414016725}, {'batch_size': 5, 'throughput': 1.4082010569287053, 'latency_mean': 3.5171393167972567, 'latency_p50': 3.5151078701019287, 'latency_p90': 3.898052144050598}, {'batch_size': 10, 'throughput': 2.404288260674653, 'latency_mean': 4.083674390316009, 'latency_p50': 4.080729842185974, 'latency_p90': 4.617989253997803}, {'batch_size': 15, 'throughput': 3.1480554163953802, 'latency_mean': 4.650297858715057, 'latency_p50': 4.581766366958618, 'latency_p90': 5.3534832239151005}, {'batch_size': 20, 'throughput': 3.66409053355163, 'latency_mean': 5.306094616651535, 'latency_p50': 5.306654691696167, 'latency_p90': 6.088851881027222}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: mistralai-mixtral-8x7b_3473
is_internal_developer: True
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
ranking_group: single
throughput_3p7s: 1.79
us_pacific_date: 2024-09-04
win_ratio: 0.4379224720651124
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 50, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>', '<|user|>', '###'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '<s>[INST] This is an entertaining conversation. You are {bot_name} who has the persona: {memory}.\nEngage in a chat with {user_name} while staying in character. Try to flirt with {user_name}. Engage in *roleplay* actions. Describe the scene dramatically. \n', 'prompt_template': '{prompt}\n', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '[INST] {user_name}: {message} [/INST]', '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 mistralai-mixtral-8x7b-3473-v132-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v132-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ║     _____            __           __                                ║
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ║       /___/                                                         ║
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ║  Version: 0.10.1                                                    ║
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ║  belonging to:                                                      ║
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v132-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v132-mkmlizer: Downloaded to shared memory in 284.936s
mistralai-mixtral-8x7b-3473-v132-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4yvx27ps, device:0
mistralai-mixtral-8x7b-3473-v132-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v132-mkmlizer: quantized model in 88.202s
mistralai-mixtral-8x7b-3473-v132-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 373.138s
mistralai-mixtral-8x7b-3473-v132-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v132-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v132-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v132
mistralai-mixtral-8x7b-3473-v132-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v132/config.json
mistralai-mixtral-8x7b-3473-v132-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v132/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v132-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v132/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v132-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v132/tokenizer.model
mistralai-mixtral-8x7b-3473-v132-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v132/tokenizer.json
mistralai-mixtral-8x7b-3473-v132-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v132/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v132-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v132/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v132-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v132/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v132-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v132/flywheel_model.2.safetensors
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Job mistralai-mixtral-8x7b-3473-v132-mkmlizer completed after 408.07s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v132-mkmlizer
Pipeline stage MKMLizer completed in 408.94s
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 mistralai-mixtral-8x7b-3473-v132
Waiting for inference service mistralai-mixtral-8x7b-3473-v132 to be ready
Inference service mistralai-mixtral-8x7b-3473-v132 ready after 150.992844581604s
Pipeline stage MKMLDeployer completed in 151.37s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.09712553024292s
Received healthy response to inference request in 1.9839518070220947s
Received healthy response to inference request in 1.8471851348876953s
Received healthy response to inference request in 2.165442943572998s
Received healthy response to inference request in 1.9057672023773193s
5 requests
0 failed requests
5th percentile: 1.8589015483856202
10th percentile: 1.870617961883545
20th percentile: 1.8940507888793945
30th percentile: 1.9214041233062744
40th percentile: 1.9526779651641846
50th percentile: 1.9839518070220947
60th percentile: 2.056548261642456
70th percentile: 2.129144716262817
80th percentile: 2.3517794609069824
90th percentile: 2.724452495574951
95th percentile: 2.9107890129089355
99th percentile: 3.059858226776123
mean time: 2.1998945236206056
Pipeline stage StressChecker completed in 12.19s
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 6.51s
Shutdown handler de-registered
mistralai-mixtral-8x7b_3473_v132 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 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v132-profiler
Waiting for inference service mistralai-mixtral-8x7b-3473-v132-profiler to be ready
Inference service mistralai-mixtral-8x7b-3473-v132-profiler ready after 150.43557476997375s
Pipeline stage MKMLProfilerDeployer completed in 150.83s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/mistralai-mixtral-8xb46f8a2c67f58e4243738b739a8c58a2-deplof4pzv:/code/chaiverse_profiler_1725486038 --namespace tenant-chaiml-guanaco
kubectl exec -it mistralai-mixtral-8xb46f8a2c67f58e4243738b739a8c58a2-deplof4pzv --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725486038 && python profiles.py profile --best_of_n 4 --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_1725486038/summary.json'
kubectl exec -it mistralai-mixtral-8xb46f8a2c67f58e4243738b739a8c58a2-deplof4pzv --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725486038/summary.json'
Pipeline stage MKMLProfilerRunner completed in 775.59s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service mistralai-mixtral-8x7b-3473-v132-profiler is running
Tearing down inference service mistralai-mixtral-8x7b-3473-v132-profiler
Service mistralai-mixtral-8x7b-3473-v132-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.59s
Shutdown handler de-registered
mistralai-mixtral-8x7b_3473_v132 status is now inactive due to auto deactivation removed underperforming models
mistralai-mixtral-8x7b_3473_v132 status is now torndown due to DeploymentManager action