jic062-dpo-v1-4-nemo-c1000

developer_uid: chace9580

submission_id: jic062-dpo-v1-4-nemo-c1000_v2

model_name: jic062-dpo-v1-4-nemo-c1000_v2

model_group: jic062/dpo-v1.4-Nemo-c10

status: torndown

timestamp: 2024-09-13T04:11:57+00:00

num_battles: 12065

num_wins: 6237

celo_rating: 1256.77

family_friendly_score: 0.0

submission_type: basic

model_repo: jic062/dpo-v1.4-Nemo-c1000

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 512

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.698830034959821, 'latency_mean': 1.4308720886707307, 'latency_p50': 1.4335582256317139, 'latency_p90': 1.5987879991531373}, {'batch_size': 3, 'throughput': 1.3473500716661029, 'latency_mean': 2.222927585840225, 'latency_p50': 2.2189888954162598, 'latency_p90': 2.515632939338684}, {'batch_size': 5, 'throughput': 1.5758910503240149, 'latency_mean': 3.1568307888507845, 'latency_p50': 3.1903942823410034, 'latency_p90': 3.558679485321045}, {'batch_size': 6, 'throughput': 1.6419792710796557, 'latency_mean': 3.628674541711807, 'latency_p50': 3.6411460638046265, 'latency_p90': 4.125023198127747}, {'batch_size': 8, 'throughput': 1.6063265745441317, 'latency_mean': 4.945366599559784, 'latency_p50': 4.978110909461975, 'latency_p90': 5.5822220087051395}, {'batch_size': 10, 'throughput': 1.5551052577938866, 'latency_mean': 6.374917727708817, 'latency_p50': 6.3816728591918945, 'latency_p90': 7.306980586051941}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: jic062-dpo-v1-4-nemo-c1000_v2

is_internal_developer: False

language_model: jic062/dpo-v1.4-Nemo-c1000

model_size: 13B

ranking_group: single

throughput_3p7s: 1.65

us_pacific_date: 2024-09-12

win_ratio: 0.5169498549523415

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', '[/INST]'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': '[INST]system\n{memory}[/INST]\n', 'prompt_template': '[INST]user\n{prompt}[/INST]\n', 'bot_template': '[INST]assistant\n{bot_name}: {message}[/INST]\n', 'user_template': '[INST]user\n{user_name}: {message}[/INST]\n', 'response_template': '[INST]assistant\n{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 jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer
Waiting for job on jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer to finish
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ║     _____            __           __                                ║
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ║       /___/                                                         ║
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ║                                                                     ║
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ║  https://mk1.ai                                                     ║
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ║                                                                     ║
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ║  belonging to:                                                      ║
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ║                                                                     ║
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ║  Chai Research Corp.                                                ║
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ║                                                                     ║
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: Downloaded to shared memory in 34.827s
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpl2rjq8aw, device:0
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: quantized model in 36.806s
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: Processed model jic062/dpo-v1.4-Nemo-c1000 in 71.633s
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: creating bucket guanaco-mkml-models
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-c1000-v2
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-c1000-v2/config.json
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-c1000-v2/special_tokens_map.json
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-c1000-v2/tokenizer_config.json
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-c1000-v2/tokenizer.json
jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-c1000-v2/flywheel_model.0.safetensors
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Job jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer completed after 93.93s with status: succeeded
Stopping job with name jic062-dpo-v1-4-nemo-c1000-v2-mkmlizer
Pipeline stage MKMLizer completed in 95.29s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.08s
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Running pipeline stage MKMLDeployer
Creating inference service jic062-dpo-v1-4-nemo-c1000-v2
Waiting for inference service jic062-dpo-v1-4-nemo-c1000-v2 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
Inference service jic062-dpo-v1-4-nemo-c1000-v2 ready after 181.60020351409912s
Pipeline stage MKMLDeployer completed in 181.94s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.8354203701019287s
Received healthy response to inference request in 1.9880354404449463s
Received healthy response to inference request in 2.5826878547668457s
Received healthy response to inference request in 1.8155813217163086s
Received healthy response to inference request in 2.22796630859375s
5 requests
0 failed requests
5th percentile: 1.8500721454620361
10th percentile: 1.8845629692077637
20th percentile: 1.9535446166992188
30th percentile: 2.036021614074707
40th percentile: 2.1319939613342287
50th percentile: 2.22796630859375
60th percentile: 2.3698549270629883
70th percentile: 2.5117435455322266
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90th percentile: 3.334327363967896
95th percentile: 3.584873867034912
99th percentile: 3.7853110694885252
mean time: 2.489938259124756
Pipeline stage StressChecker completed in 13.23s
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jic062-dpo-v1-4-nemo-c1000_v2 status is now deployed due to DeploymentManager action
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Creating inference service jic062-dpo-v1-4-nemo-c1000-v2-profiler
Waiting for inference service jic062-dpo-v1-4-nemo-c1000-v2-profiler to be ready
Inference service jic062-dpo-v1-4-nemo-c1000-v2-profiler ready after 180.43208241462708s
Pipeline stage MKMLProfilerDeployer completed in 182.05s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jic062-dpo-v1-4-nemo11bc1fd75fab72ad1ab765f44f829a69-deplombgjk:/code/chaiverse_profiler_1726201234 --namespace tenant-chaiml-guanaco
kubectl exec -it jic062-dpo-v1-4-nemo11bc1fd75fab72ad1ab765f44f829a69-deplombgjk --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726201234 && 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_1726201234/summary.json'
kubectl exec -it jic062-dpo-v1-4-nemo11bc1fd75fab72ad1ab765f44f829a69-deplombgjk --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726201234/summary.json'
Pipeline stage MKMLProfilerRunner completed in 943.45s
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Running pipeline stage MKMLProfilerDeleter
Checking if service jic062-dpo-v1-4-nemo-c1000-v2-profiler is running
Tearing down inference service jic062-dpo-v1-4-nemo-c1000-v2-profiler
Service jic062-dpo-v1-4-nemo-c1000-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.07s
Shutdown handler de-registered
jic062-dpo-v1-4-nemo-c1000_v2 status is now inactive due to auto deactivation removed underperforming models
jic062-dpo-v1-4-nemo-c1000_v2 status is now torndown due to DeploymentManager action