submission_id: jic062-dpo-v1-5-nemo-c500_v1
developer_uid: chace9580
alignment_samples: 10098
alignment_score: -0.08172125247132356
best_of: 8
celo_rating: 1240.54
display_name: jic062-dpo-v1-5-nemo-c500_v1
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}
generation_params: {'temperature': 0.75, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, '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: jic062/dpo-v1.5-Nemo-c500
latencies: [{'batch_size': 1, 'throughput': 0.7008830494705103, 'latency_mean': 1.4266752088069916, 'latency_p50': 1.4362400770187378, 'latency_p90': 1.5783403873443604}, {'batch_size': 3, 'throughput': 1.325439571827967, 'latency_mean': 2.2617265677452085, 'latency_p50': 2.2787580490112305, 'latency_p90': 2.479091191291809}, {'batch_size': 5, 'throughput': 1.5728334811323406, 'latency_mean': 3.169850291013718, 'latency_p50': 3.176653265953064, 'latency_p90': 3.499379110336304}, {'batch_size': 6, 'throughput': 1.6042207914090985, 'latency_mean': 3.7194345355033875, 'latency_p50': 3.7271474599838257, 'latency_p90': 4.213351416587829}, {'batch_size': 8, 'throughput': 1.5871593868736065, 'latency_mean': 5.016155124902725, 'latency_p50': 5.028848886489868, 'latency_p90': 5.668827390670776}, {'batch_size': 10, 'throughput': 1.5239310585117556, 'latency_mean': 6.52420462012291, 'latency_p50': 6.6006598472595215, 'latency_p90': 7.351833200454712}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: jic062/dpo-v1.5-Nemo-c50
model_name: jic062-dpo-v1-5-nemo-c500_v1
model_num_parameters: 12772070400.0
model_repo: jic062/dpo-v1.5-Nemo-c500
model_size: 13B
num_battles: 10097
num_wins: 4865
propriety_score: 0.74235807860262
propriety_total_count: 916.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.61
timestamp: 2024-09-15T18:06:42+00:00
us_pacific_date: 2024-09-15
win_ratio: 0.48182628503515895
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Running pipeline stage MKMLizer
Starting job with name jic062-dpo-v1-5-nemo-c500-v1-mkmlizer
Waiting for job on jic062-dpo-v1-5-nemo-c500-v1-mkmlizer to finish
jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: ║ /___/ ║
jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: ║ ║
jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: ║ Version: 0.10.1 ║
jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: ║ https://mk1.ai ║
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jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: ║ Chai Research Corp. ║
jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: Downloaded to shared memory in 51.586s
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jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpo7mr7xb6, device:0
jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: quantized model in 35.876s
jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: Processed model jic062/dpo-v1.5-Nemo-c500 in 87.463s
jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: creating bucket guanaco-mkml-models
jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-dpo-v1-5-nemo-c500-v1
jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-dpo-v1-5-nemo-c500-v1/config.json
jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-dpo-v1-5-nemo-c500-v1/special_tokens_map.json
jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-dpo-v1-5-nemo-c500-v1/tokenizer_config.json
jic062-dpo-v1-5-nemo-c500-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-dpo-v1-5-nemo-c500-v1/tokenizer.json
Job jic062-dpo-v1-5-nemo-c500-v1-mkmlizer completed after 116.7s with status: succeeded
Stopping job with name jic062-dpo-v1-5-nemo-c500-v1-mkmlizer
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Creating inference service jic062-dpo-v1-5-nemo-c500-v1
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Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service jic062-dpo-v1-5-nemo-c500-v1 ready after 181.1396095752716s
Pipeline stage MKMLDeployer completed in 187.38s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.4673280715942383s
Received healthy response to inference request in 2.167800188064575s
Received healthy response to inference request in 2.0284295082092285s
Received healthy response to inference request in 2.622598886489868s
Received healthy response to inference request in 2.3382294178009033s
5 requests
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5th percentile: 2.0563036441802978
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40th percentile: 2.270057725906372
50th percentile: 2.3382294178009033
60th percentile: 2.4519772052764894
70th percentile: 2.565724992752075
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90th percentile: 3.12943639755249
95th percentile: 3.298382234573364
99th percentile: 3.4335389041900632
mean time: 2.5248772144317626
Pipeline stage StressChecker completed in 18.05s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.81s
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Creating inference service jic062-dpo-v1-5-nemo-c500-v1-profiler
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Inference service jic062-dpo-v1-5-nemo-c500-v1-profiler ready after 170.37543272972107s
Pipeline stage MKMLProfilerDeployer completed in 170.73s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jic062-dpo-v1-5-nemo3ce566ff9c2d9467dc6da217865591df-deplonn5l6:/code/chaiverse_profiler_1726424160 --namespace tenant-chaiml-guanaco
kubectl exec -it jic062-dpo-v1-5-nemo3ce566ff9c2d9467dc6da217865591df-deplonn5l6 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726424160 && 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_1726424160/summary.json'
kubectl exec -it jic062-dpo-v1-5-nemo3ce566ff9c2d9467dc6da217865591df-deplonn5l6 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726424160/summary.json'
Pipeline stage MKMLProfilerRunner completed in 950.82s
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Checking if service jic062-dpo-v1-5-nemo-c500-v1-profiler is running
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Service jic062-dpo-v1-5-nemo-c500-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 7.28s
Shutdown handler de-registered
jic062-dpo-v1-5-nemo-c500_v1 status is now inactive due to auto deactivation removed underperforming models