submission_id: cycy233-l3-p-v5-c3_v3
developer_uid: shiroe40
alignment_samples: 12633
alignment_score: -0.13736727499172552
best_of: 16
celo_rating: 1247.93
display_name: auto
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: cycy233/L3-p-v5-c3
latencies: [{'batch_size': 1, 'throughput': 0.9129794856515353, 'latency_mean': 1.0952570140361786, 'latency_p50': 1.0992326736450195, 'latency_p90': 1.2311362504959107}, {'batch_size': 4, 'throughput': 1.8021214179468612, 'latency_mean': 2.209778550863266, 'latency_p50': 2.2078542709350586, 'latency_p90': 2.5028607130050657}, {'batch_size': 5, 'throughput': 1.9039369122619472, 'latency_mean': 2.6148872101306915, 'latency_p50': 2.6438101530075073, 'latency_p90': 2.9168606996536255}, {'batch_size': 8, 'throughput': 2.0178919583004804, 'latency_mean': 3.9314133846759796, 'latency_p50': 3.9438639879226685, 'latency_p90': 4.4095299243927}, {'batch_size': 10, 'throughput': 2.0519721692507575, 'latency_mean': 4.821046723127365, 'latency_p50': 4.873395919799805, 'latency_p90': 5.475319576263428}, {'batch_size': 12, 'throughput': 2.057281655220838, 'latency_mean': 5.758089973926544, 'latency_p50': 5.777101993560791, 'latency_p90': 6.7012334823608395}, {'batch_size': 15, 'throughput': 2.0544535421577916, 'latency_mean': 7.163832091093063, 'latency_p50': 7.237919926643372, 'latency_p90': 7.948050785064697}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-p-v5-c3
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-p-v5-c3
model_size: 8B
num_battles: 12632
num_wins: 6245
propriety_score: 0.7323704333050127
propriety_total_count: 1177.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 2.02
timestamp: 2024-09-14T10:28:10+00:00
us_pacific_date: 2024-09-14
win_ratio: 0.4943793540215326
Download Preference Data
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 cycy233-l3-p-v5-c3-v3-mkmlizer
Waiting for job on cycy233-l3-p-v5-c3-v3-mkmlizer to finish
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', '')
cycy233-l3-p-v5-c3-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v5-c3-v3-mkmlizer: ║ _____ __ __ ║
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cycy233-l3-p-v5-c3-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║ /___/ ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║ ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║ Version: 0.10.1 ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║ ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║ belonging to: ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║ ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║ ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v5-c3-v3-mkmlizer: Downloaded to shared memory in 31.715s
cycy233-l3-p-v5-c3-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7vcd34xk, device:0
cycy233-l3-p-v5-c3-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v5-c3-v3-mkmlizer: quantized model in 25.303s
cycy233-l3-p-v5-c3-v3-mkmlizer: Processed model cycy233/L3-p-v5-c3 in 57.018s
cycy233-l3-p-v5-c3-v3-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v5-c3-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v5-c3-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v5-c3-v3
cycy233-l3-p-v5-c3-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v5-c3-v3/config.json
cycy233-l3-p-v5-c3-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v5-c3-v3/special_tokens_map.json
cycy233-l3-p-v5-c3-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v5-c3-v3/tokenizer_config.json
cycy233-l3-p-v5-c3-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v5-c3-v3/tokenizer.json
cycy233-l3-p-v5-c3-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v5-c3-v3/flywheel_model.0.safetensors
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Job cycy233-l3-p-v5-c3-v3-mkmlizer completed after 83.34s with status: succeeded
Stopping job with name cycy233-l3-p-v5-c3-v3-mkmlizer
Pipeline stage MKMLizer completed in 84.19s
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Creating inference service cycy233-l3-p-v5-c3-v3
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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', '')
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Inference service cycy233-l3-p-v5-c3-v3 ready after 170.77230048179626s
Pipeline stage MKMLDeployer completed in 171.14s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8151326179504395s
Received healthy response to inference request in 2.2663278579711914s
Received healthy response to inference request in 2.2457239627838135s
Received healthy response to inference request in 2.4386770725250244s
Received healthy response to inference request in 1.679473638534546s
5 requests
0 failed requests
5th percentile: 1.7066054344177246
10th percentile: 1.7337372303009033
20th percentile: 1.7880008220672607
30th percentile: 1.9012508869171143
40th percentile: 2.073487424850464
50th percentile: 2.2457239627838135
60th percentile: 2.2539655208587646
70th percentile: 2.2622070789337156
80th percentile: 2.300797700881958
90th percentile: 2.369737386703491
95th percentile: 2.404207229614258
99th percentile: 2.431783103942871
mean time: 2.0890670299530028
Pipeline stage StressChecker completed in 11.64s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 6.12s
Shutdown handler de-registered
cycy233-l3-p-v5-c3_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Skipping teardown as no inference service was successfully deployed
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Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service cycy233-l3-p-v5-c3-v3-profiler
Waiting for inference service cycy233-l3-p-v5-c3-v3-profiler to be ready
Inference service cycy233-l3-p-v5-c3-v3-profiler ready after 170.40439891815186s
Pipeline stage MKMLProfilerDeployer completed in 172.33s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v5-c3-v3-profiler-predictor-00001-deployment-5p8qc:/code/chaiverse_profiler_1726310174 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v5-c3-v3-profiler-predictor-00001-deployment-5p8qc --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726310174 && python profiles.py profile --best_of_n 16 --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_1726310174/summary.json'
kubectl exec -it cycy233-l3-p-v5-c3-v3-profiler-predictor-00001-deployment-5p8qc --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726310174/summary.json'
Pipeline stage MKMLProfilerRunner completed in 834.46s
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Running pipeline stage MKMLProfilerDeleter
Checking if service cycy233-l3-p-v5-c3-v3-profiler is running
Tearing down inference service cycy233-l3-p-v5-c3-v3-profiler
Service cycy233-l3-p-v5-c3-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.75s
Shutdown handler de-registered
cycy233-l3-p-v5-c3_v3 status is now inactive due to auto deactivation removed underperforming models