albertwang8192-2025-07-13-1

developer_uid: RandomForest1024

submission_id: albertwang8192-2025-07-13-1_v1

model_name: 2025-07-13_1

model_group: AlbertWang8192/2025-07-1

status: torndown

timestamp: 2025-07-13T16:58:59+00:00

num_battles: 6901

num_wins: 3154

celo_rating: 1253.63

family_friendly_score: 0.5082

family_friendly_standard_error: 0.007070116830717863

submission_type: basic

model_repo: AlbertWang8192/2025-07-13_1

model_architecture: MistralForCausalLM

model_num_parameters: 12772090880.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.5956059536795577, 'latency_mean': 1.678767751455307, 'latency_p50': 1.6742620468139648, 'latency_p90': 1.8614470481872558}, {'batch_size': 3, 'throughput': 1.0668379845965534, 'latency_mean': 2.802497469186783, 'latency_p50': 2.7966452836990356, 'latency_p90': 3.0682208299636837}, {'batch_size': 5, 'throughput': 1.2813261440138857, 'latency_mean': 3.887798216342926, 'latency_p50': 3.8807965517044067, 'latency_p90': 4.288612008094788}, {'batch_size': 6, 'throughput': 1.3381152950693032, 'latency_mean': 4.454362316131592, 'latency_p50': 4.469316840171814, 'latency_p90': 4.887287378311157}, {'batch_size': 8, 'throughput': 1.40313909143169, 'latency_mean': 5.653844034671783, 'latency_p50': 5.706745028495789, 'latency_p90': 6.241920018196105}, {'batch_size': 10, 'throughput': 1.4497523864827475, 'latency_mean': 6.844354724884033, 'latency_p50': 6.899248719215393, 'latency_p90': 7.665013408660888}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: 2025-07-13_1

is_internal_developer: False

language_model: AlbertWang8192/2025-07-13_1

model_size: 13B

ranking_group: single

throughput_3p7s: 1.26

us_pacific_date: 2025-07-13

win_ratio: 0.4570352122880742

generation_params: {'temperature': 0.6, 'top_p': 0.98, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['<|im_start|>', '\n', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

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': True}

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 albertwang8192-2025-07-13-1-v1-mkmlizer
Waiting for job on albertwang8192-2025-07-13-1-v1-mkmlizer to finish
albertwang8192-2025-07-13-1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
albertwang8192-2025-07-13-1-v1-mkmlizer: ║                                                                     ║
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albertwang8192-2025-07-13-1-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
albertwang8192-2025-07-13-1-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-13-1-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
albertwang8192-2025-07-13-1-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
albertwang8192-2025-07-13-1-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
albertwang8192-2025-07-13-1-v1-mkmlizer: ║  https://mk1.ai                                                     ║
albertwang8192-2025-07-13-1-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-13-1-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
albertwang8192-2025-07-13-1-v1-mkmlizer: ║  belonging to:                                                      ║
albertwang8192-2025-07-13-1-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-13-1-v1-mkmlizer: ║  Chai Research Corp.                                                ║
albertwang8192-2025-07-13-1-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
albertwang8192-2025-07-13-1-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
albertwang8192-2025-07-13-1-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-13-1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
albertwang8192-2025-07-13-1-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
Failed to get response for submission albertwang8192-2025-07-13-0_v1: HTTPConnectionPool(host='albertwang8192-2025-07-13-0-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission albertwang8192-2025-07-13-0_v1: HTTPConnectionPool(host='albertwang8192-2025-07-13-0-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
albertwang8192-2025-07-13-1-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
albertwang8192-2025-07-13-1-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
albertwang8192-2025-07-13-1-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
albertwang8192-2025-07-13-1-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
albertwang8192-2025-07-13-1-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
albertwang8192-2025-07-13-1-v1-mkmlizer: Downloaded to shared memory in 54.439s
albertwang8192-2025-07-13-1-v1-mkmlizer: Checking if AlbertWang8192/2025-07-13_1 already exists in ChaiML
albertwang8192-2025-07-13-1-v1-mkmlizer: Creating repo ChaiML/2025-07-13_1 and uploading /tmp/tmpwgtyi31e to it
albertwang8192-2025-07-13-1-v1-mkmlizer: 
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albertwang8192-2025-07-13-1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwgtyi31e, device:0
albertwang8192-2025-07-13-1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
albertwang8192-2025-07-13-1-v1-mkmlizer: quantized model in 37.173s
albertwang8192-2025-07-13-1-v1-mkmlizer: Processed model AlbertWang8192/2025-07-13_1 in 150.672s
albertwang8192-2025-07-13-1-v1-mkmlizer: creating bucket guanaco-mkml-models
albertwang8192-2025-07-13-1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
albertwang8192-2025-07-13-1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/albertwang8192-2025-07-13-1-v1/nvidia
albertwang8192-2025-07-13-1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/albertwang8192-2025-07-13-1-v1/nvidia/config.json
albertwang8192-2025-07-13-1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/albertwang8192-2025-07-13-1-v1/nvidia/special_tokens_map.json
albertwang8192-2025-07-13-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/albertwang8192-2025-07-13-1-v1/nvidia/tokenizer_config.json
albertwang8192-2025-07-13-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/albertwang8192-2025-07-13-1-v1/nvidia/tokenizer.json
albertwang8192-2025-07-13-1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/albertwang8192-2025-07-13-1-v1/nvidia/flywheel_model.0.safetensors
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Job albertwang8192-2025-07-13-1-v1-mkmlizer completed after 178.28s with status: succeeded
Stopping job with name albertwang8192-2025-07-13-1-v1-mkmlizer
Pipeline stage MKMLizer completed in 178.79s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service albertwang8192-2025-07-13-1-v1
Waiting for inference service albertwang8192-2025-07-13-1-v1 to be ready
Failed to get response for submission albertwang8192-2025-07-13-0_v1: HTTPConnectionPool(host='albertwang8192-2025-07-13-0-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitanito-32_v3: HTTPConnectionPool(host='zmeeks-capitanito-32-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission albertwang8192-2025-07-13-0_v1: HTTPConnectionPool(host='albertwang8192-2025-07-13-0-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitanito-32_v3: HTTPConnectionPool(host='zmeeks-capitanito-32-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service albertwang8192-2025-07-13-1-v1 ready after 210.72472190856934s
Pipeline stage MKMLDeployer completed in 211.22s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.5017178058624268s
Received healthy response to inference request in 1.7749361991882324s
Received healthy response to inference request in 1.6324117183685303s
Received healthy response to inference request in 1.646761178970337s
5 requests
1 failed requests
5th percentile: 1.6352816104888916
10th percentile: 1.638151502609253
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95th percentile: 16.6135618686676
99th percentile: 19.435930681228637
mean time: 5.539469957351685
%s, retrying in %s seconds...
Received healthy response to inference request in 1.5765442848205566s
Received healthy response to inference request in 1.9953131675720215s
Received healthy response to inference request in 1.698455572128296s
Received healthy response to inference request in 1.6076383590698242s
Received healthy response to inference request in 1.5951199531555176s
5 requests
0 failed requests
5th percentile: 1.580259418487549
10th percentile: 1.583974552154541
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90th percentile: 1.8765701293945312
95th percentile: 1.9359416484832763
99th percentile: 1.9834388637542724
mean time: 1.6946142673492433
Pipeline stage StressChecker completed in 39.76s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.77s
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Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.82s
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albertwang8192-2025-07-13-1_v1 status is now deployed due to DeploymentManager action
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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 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service albertwang8192-2025-07-13-1-v1-profiler
Waiting for inference service albertwang8192-2025-07-13-1-v1-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2887.07s
Shutdown handler de-registered
albertwang8192-2025-07-13-1_v1 status is now inactive due to auto deactivation removed underperforming models
albertwang8192-2025-07-13-1_v1 status is now torndown due to DeploymentManager action