mistralai-mixtral-8x7b_3473

submission_id: mistralai-mixtral-8x7b_3473_v137
developer_uid: robert_irvine
alignment_samples: 355929
alignment_score: 0.6698735023791854
best_of: 4
celo_rating: 1196.26
display_name: mistralai-mixtral-8x7b_3473_v137
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}
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}
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
is_internal_developer: True
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
latencies: [{'batch_size': 1, 'throughput': 0.4674356307380572, 'latency_mean': 2.1392672657966614, 'latency_p50': 2.1391583681106567, 'latency_p90': 2.415291595458984}, {'batch_size': 5, 'throughput': 1.4048765495175597, 'latency_mean': 3.525962886810303, 'latency_p50': 3.515183210372925, 'latency_p90': 3.9609410524368287}, {'batch_size': 10, 'throughput': 2.432585798626601, 'latency_mean': 4.056670552492141, 'latency_p50': 4.025849938392639, 'latency_p90': 4.5698141098022464}, {'batch_size': 15, 'throughput': 3.1551916898424928, 'latency_mean': 4.651231727600098, 'latency_p50': 4.658242702484131, 'latency_p90': 5.250260686874389}, {'batch_size': 20, 'throughput': 3.720470050069471, 'latency_mean': 5.246658401489258, 'latency_p50': 5.240115165710449, 'latency_p90': 5.961264967918396}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MixtralForCausalLM
model_group: mistralai/Mixtral-8x7B-I
model_name: mistralai-mixtral-8x7b_3473_v137
model_num_parameters: 46702792704.0
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
num_battles: 351848
num_wins: 175820
propriety_score: 0.7491404517849684
propriety_total_count: 31121.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.79
timestamp: 2024-09-13T06:10:11+00:00
us_pacific_date: 2024-09-12
win_ratio: 0.49970441781678454
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run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v137-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v137-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ║     _____            __           __                                ║
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ║       /___/                                                         ║
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ║  Version: 0.10.1                                                    ║
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ║  belonging to:                                                      ║
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v137-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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mistralai-mixtral-8x7b-3473-v137-mkmlizer: Downloaded to shared memory in 247.876s
mistralai-mixtral-8x7b-3473-v137-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpx63h7mv1, device:0
mistralai-mixtral-8x7b-3473-v137-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
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mistralai-mixtral-8x7b-3473-v137-mkmlizer: quantized model in 89.615s
mistralai-mixtral-8x7b-3473-v137-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 337.491s
mistralai-mixtral-8x7b-3473-v137-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v137-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v137-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v137
mistralai-mixtral-8x7b-3473-v137-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v137/config.json
mistralai-mixtral-8x7b-3473-v137-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v137/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v137-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v137/tokenizer.model
mistralai-mixtral-8x7b-3473-v137-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v137/tokenizer.json
mistralai-mixtral-8x7b-3473-v137-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v137/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v137-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v137/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v137-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v137/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v137-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v137/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v137-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v137/flywheel_model.1.safetensors
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Job mistralai-mixtral-8x7b-3473-v137-mkmlizer completed after 377.15s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v137-mkmlizer
Pipeline stage MKMLizer completed in 378.19s
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-v137
Waiting for inference service mistralai-mixtral-8x7b-3473-v137 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service mistralai-mixtral-8x7b-3473-v137 ready after 181.17247343063354s
Pipeline stage MKMLDeployer completed in 181.65s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.2066876888275146s
Received healthy response to inference request in 1.511746883392334s
Received healthy response to inference request in 1.6978569030761719s
Received healthy response to inference request in 2.1518242359161377s
Received healthy response to inference request in 2.0034451484680176s
5 requests
0 failed requests
5th percentile: 1.5489688873291017
10th percentile: 1.586190891265869
20th percentile: 1.6606348991394042
30th percentile: 1.758974552154541
40th percentile: 1.8812098503112793
50th percentile: 2.0034451484680176
60th percentile: 2.062796783447266
70th percentile: 2.1221484184265136
80th percentile: 2.3627969264984134
90th percentile: 2.784742307662964
95th percentile: 2.995714998245239
99th percentile: 3.1644931507110594
mean time: 2.114312171936035
Pipeline stage StressChecker completed in 12.00s
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 5.59s
Shutdown handler de-registered
mistralai-mixtral-8x7b_3473_v137 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 0.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v137-profiler
Waiting for inference service mistralai-mixtral-8x7b-3473-v137-profiler to be ready
Inference service mistralai-mixtral-8x7b-3473-v137-profiler ready after 170.40806889533997s
Pipeline stage MKMLProfilerDeployer completed in 174.23s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/mistralai-mixtral-8xf9ff85302a0229c8baff0724351f89f5-deplocnjzw:/code/chaiverse_profiler_1726208609 --namespace tenant-chaiml-guanaco
kubectl exec -it mistralai-mixtral-8xf9ff85302a0229c8baff0724351f89f5-deplocnjzw --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726208609 && 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_1726208609/summary.json'
kubectl exec -it mistralai-mixtral-8xf9ff85302a0229c8baff0724351f89f5-deplocnjzw --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726208609/summary.json'
Pipeline stage MKMLProfilerRunner completed in 774.94s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service mistralai-mixtral-8x7b-3473-v137-profiler is running
Tearing down inference service mistralai-mixtral-8x7b-3473-v137-profiler
Service mistralai-mixtral-8x7b-3473-v137-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.10s
Shutdown handler de-registered
mistralai-mixtral-8x7b_3473_v137 status is now inactive due to auto deactivation removed underperforming models