sao10k-mn-12b-lyra-v4a1

submission_id: sao10k-mn-12b-lyra-v4a1_v3

developer_uid: sao10k

best_of: 8

celo_rating: 1260.68

display_name: lyra41

family_friendly_score: 0.0

family_friendly_standard_error: 0.0

formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': False}

generation_params: {'temperature': 0.75, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '\n\n', '\nYou:', '[/INST]', '<|im_end|>', '</s>'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: False

language_model: Sao10K/MN-12B-Lyra-v4a1

latencies: [{'batch_size': 1, 'throughput': 0.6926061585594797, 'latency_mean': 1.443722903728485, 'latency_p50': 1.4491052627563477, 'latency_p90': 1.5991499423980713}, {'batch_size': 3, 'throughput': 1.3266055396022032, 'latency_mean': 2.259152697324753, 'latency_p50': 2.2799019813537598, 'latency_p90': 2.501718282699585}, {'batch_size': 5, 'throughput': 1.5670494297909603, 'latency_mean': 3.176794725656509, 'latency_p50': 3.1908438205718994, 'latency_p90': 3.5684115648269654}, {'batch_size': 6, 'throughput': 1.6107447985176984, 'latency_mean': 3.7004927265644074, 'latency_p50': 3.6850993633270264, 'latency_p90': 4.2070800304412845}, {'batch_size': 8, 'throughput': 1.5834694838118468, 'latency_mean': 5.0247733175754545, 'latency_p50': 5.0697479248046875, 'latency_p90': 5.690066027641296}, {'batch_size': 10, 'throughput': 1.533016294988604, 'latency_mean': 6.485439442396164, 'latency_p50': 6.527211427688599, 'latency_p90': 7.2984956979751585}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: Sao10K/MN-12B-Lyra-v4a1

model_name: lyra41

model_num_parameters: 12772070400.0

model_repo: Sao10K/MN-12B-Lyra-v4a1

model_size: 13B

num_battles: 30328526

num_wins: 15985647

ranking_group: single

status: deployed

submission_type: basic

throughput_3p7s: 1.62

timestamp: 2024-09-06T03:03:46+00:00

us_pacific_date: 2024-09-05

win_ratio: 0.5270828855975395

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 sao10k-mn-12b-lyra-v4a1-v3-mkmlizer
Waiting for job on sao10k-mn-12b-lyra-v4a1-v3-mkmlizer to finish
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ║     _____            __           __                                ║
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ║       /___/                                                         ║
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ║                                                                     ║
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ║  Version: 0.10.1                                                    ║
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ║  https://mk1.ai                                                     ║
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ║                                                                     ║
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ║  belonging to:                                                      ║
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ║                                                                     ║
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ║  Chai Research Corp.                                                ║
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ║                                                                     ║
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: Downloaded to shared memory in 33.326s
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpnynanxbm, device:0
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: quantized model in 35.288s
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: Processed model Sao10K/MN-12B-Lyra-v4a1 in 68.614s
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: creating bucket guanaco-mkml-models
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a1-v3
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a1-v3/config.json
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a1-v3/special_tokens_map.json
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a1-v3/tokenizer_config.json
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a1-v3/tokenizer.json
sao10k-mn-12b-lyra-v4a1-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a1-v3/flywheel_model.0.safetensors
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Job sao10k-mn-12b-lyra-v4a1-v3-mkmlizer completed after 95.12s with status: succeeded
Stopping job with name sao10k-mn-12b-lyra-v4a1-v3-mkmlizer
Pipeline stage MKMLizer completed in 96.61s
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Pipeline stage MKMLTemplater completed in 0.09s
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Running pipeline stage MKMLDeployer
Creating inference service sao10k-mn-12b-lyra-v4a1-v3
Waiting for inference service sao10k-mn-12b-lyra-v4a1-v3 to be ready
Failed to get response for submission mistralai-mixtral-8x7b_3473_v131: ('http://mistralai-mixtral-8x7b-3473-v131-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
Failed to get response for submission blend_jidor_2024-08-22: ('http://mistralai-mixtral-8x7b-3473-v130-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service sao10k-mn-12b-lyra-v4a1-v3 ready after 150.62052536010742s
Pipeline stage MKMLDeployer completed in 151.87s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.704251289367676s
Received healthy response to inference request in 2.3711483478546143s
Received healthy response to inference request in 2.185274362564087s
Received healthy response to inference request in 2.82092022895813s
Received healthy response to inference request in 2.136176586151123s
5 requests
0 failed requests
5th percentile: 2.1459961414337156
10th percentile: 2.1558156967163087
20th percentile: 2.1754548072814943
30th percentile: 2.2224491596221925
40th percentile: 2.296798753738403
50th percentile: 2.3711483478546143
60th percentile: 2.504389524459839
70th percentile: 2.6376307010650635
80th percentile: 2.7275850772857666
90th percentile: 2.7742526531219482
95th percentile: 2.797586441040039
99th percentile: 2.8162534713745115
mean time: 2.443554162979126
Pipeline stage StressChecker completed in 12.97s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 7.64s
Shutdown handler de-registered
sao10k-mn-12b-lyra-v4a1_v3 status is now deployed due to DeploymentManager action
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Skipping teardown as no inference service was successfully deployed
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Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Creating inference service sao10k-mn-12b-lyra-v4a1-v3-profiler
Waiting for inference service sao10k-mn-12b-lyra-v4a1-v3-profiler to be ready
Inference service sao10k-mn-12b-lyra-v4a1-v3-profiler ready after 150.3465611934662s
Pipeline stage MKMLProfilerDeployer completed in 150.74s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/sao10k-mn-12b-lyra-v4a1-v3-profiler-predictor-00001-deployqksrs:/code/chaiverse_profiler_1725592288 --namespace tenant-chaiml-guanaco
kubectl exec -it sao10k-mn-12b-lyra-v4a1-v3-profiler-predictor-00001-deployqksrs --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725592288 && 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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1725592288/summary.json'
kubectl exec -it sao10k-mn-12b-lyra-v4a1-v3-profiler-predictor-00001-deployqksrs --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725592288/summary.json'
Pipeline stage MKMLProfilerRunner completed in 952.76s
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Running pipeline stage MKMLProfilerDeleter
Checking if service sao10k-mn-12b-lyra-v4a1-v3-profiler is running
Tearing down inference service sao10k-mn-12b-lyra-v4a1-v3-profiler
Service sao10k-mn-12b-lyra-v4a1-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.04s
Shutdown handler de-registered
sao10k-mn-12b-lyra-v4a1_v3 status is now inactive due to auto deactivation removed underperforming models
sao10k-mn-12b-lyra-v4a1_v3 status is now deployed due to admin request