submission_id: mistralai-mixtral-8x7b_3473_v136
developer_uid: robert_irvine
alignment_samples: 702577
alignment_score: 1.57366900120443
best_of: 4
celo_rating: 1196.15
display_name: mistralai-mixtral-8x7b_3473_v136
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': 0.4624811305676154, 'latency_mean': 2.1621945548057555, 'latency_p50': 2.1656301021575928, 'latency_p90': 2.4564981937408445}, {'batch_size': 5, 'throughput': 1.4116701729268397, 'latency_mean': 3.510221668481827, 'latency_p50': 3.495072364807129, 'latency_p90': 3.932521200180054}, {'batch_size': 10, 'throughput': 2.393171392665945, 'latency_mean': 4.114033534526825, 'latency_p50': 4.1033196449279785, 'latency_p90': 4.587590026855469}, {'batch_size': 15, 'throughput': 3.14897913595535, 'latency_mean': 4.647801167964936, 'latency_p50': 4.655139207839966, 'latency_p90': 5.325919723510742}, {'batch_size': 20, 'throughput': 3.6897456372206103, 'latency_mean': 5.262532913684845, 'latency_p50': 5.244645714759827, 'latency_p90': 6.007695555686951}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MixtralForCausalLM
model_group: mistralai/Mixtral-8x7B-I
model_name: mistralai-mixtral-8x7b_3473_v136
model_num_parameters: 46702792704.0
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
num_battles: 700659
num_wins: 317141
propriety_score: 0.7446678265352149
propriety_total_count: 62076.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.78
timestamp: 2024-09-13T06:02:30+00:00
us_pacific_date: 2024-09-12
win_ratio: 0.4526324503074962
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Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v136-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v136-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v136-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v136-mkmlizer: ║ _____ __ __ ║
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mistralai-mixtral-8x7b-3473-v136-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mixtral-8x7b-3473-v136-mkmlizer: ║ /___/ ║
mistralai-mixtral-8x7b-3473-v136-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v136-mkmlizer: ║ Version: 0.10.1 ║
mistralai-mixtral-8x7b-3473-v136-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mixtral-8x7b-3473-v136-mkmlizer: ║ https://mk1.ai ║
mistralai-mixtral-8x7b-3473-v136-mkmlizer: ║ ║
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mistralai-mixtral-8x7b-3473-v136-mkmlizer: ║ Chai Research Corp. ║
mistralai-mixtral-8x7b-3473-v136-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mixtral-8x7b-3473-v136-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
mistralai-mixtral-8x7b-3473-v136-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v136-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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mistralai-mixtral-8x7b-3473-v136-mkmlizer: Downloaded to shared memory in 189.975s
mistralai-mixtral-8x7b-3473-v136-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmprai1gvkb, device:0
mistralai-mixtral-8x7b-3473-v136-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-v136-mkmlizer: quantized model in 88.472s
mistralai-mixtral-8x7b-3473-v136-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 278.447s
mistralai-mixtral-8x7b-3473-v136-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v136-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v136-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v136
mistralai-mixtral-8x7b-3473-v136-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v136/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v136-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v136/config.json
mistralai-mixtral-8x7b-3473-v136-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v136/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v136-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v136/tokenizer.model
mistralai-mixtral-8x7b-3473-v136-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v136/tokenizer.json
mistralai-mixtral-8x7b-3473-v136-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v136/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v136-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v136/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v136-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v136/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v136-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v136/flywheel_model.1.safetensors
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Job mistralai-mixtral-8x7b-3473-v136-mkmlizer completed after 314.82s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v136-mkmlizer
Pipeline stage MKMLizer completed in 315.74s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.08s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v136
Waiting for inference service mistralai-mixtral-8x7b-3473-v136 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
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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-v136 ready after 182.05206179618835s
Pipeline stage MKMLDeployer completed in 183.11s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.7033610343933105s
Received healthy response to inference request in 1.8473949432373047s
Received healthy response to inference request in 3.830627918243408s
Received healthy response to inference request in 2.431652545928955s
Received healthy response to inference request in 3.0633749961853027s
5 requests
0 failed requests
5th percentile: 1.9642464637756347
10th percentile: 2.0810979843139648
20th percentile: 2.314801025390625
30th percentile: 2.5579970359802244
40th percentile: 2.8106860160827636
50th percentile: 3.0633749961853027
60th percentile: 3.319369411468506
70th percentile: 3.5753638267517087
80th percentile: 3.72881441116333
90th percentile: 3.779721164703369
95th percentile: 3.805174541473389
99th percentile: 3.8255372428894043
mean time: 2.9752822875976563
Pipeline stage StressChecker completed in 18.43s
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 4.41s
Shutdown handler de-registered
mistralai-mixtral-8x7b_3473_v136 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 0.15s
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-v136-profiler
Waiting for inference service mistralai-mixtral-8x7b-3473-v136-profiler to be ready
Inference service mistralai-mixtral-8x7b-3473-v136-profiler ready after 180.4299774169922s
Pipeline stage MKMLProfilerDeployer completed in 180.82s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/mistralai-mixtral-8x7a4644f4cc34ef2af403693fa91f3bcf-deplodw6ww:/code/chaiverse_profiler_1726208101 --namespace tenant-chaiml-guanaco
kubectl exec -it mistralai-mixtral-8x7a4644f4cc34ef2af403693fa91f3bcf-deplodw6ww --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726208101 && 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_1726208101/summary.json'
kubectl exec -it mistralai-mixtral-8x7a4644f4cc34ef2af403693fa91f3bcf-deplodw6ww --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726208101/summary.json'
Pipeline stage MKMLProfilerRunner completed in 782.99s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service mistralai-mixtral-8x7b-3473-v136-profiler is running
Tearing down inference service mistralai-mixtral-8x7b-3473-v136-profiler
Service mistralai-mixtral-8x7b-3473-v136-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.96s
Shutdown handler de-registered
mistralai-mixtral-8x7b_3473_v136 status is now inactive due to auto deactivation removed underperforming models