chaiml-cs-feed-score-sf_63890

developer_uid: zonemercy
submission_id: chaiml-cs-feed-score-sf_63890_v3
model_name: chaiml-cs-feed-score-sf_63890_v3
model_group: ChaiML/cs-feed-score_sft
status: torndown
timestamp: 2025-10-02T17:13:38+00:00
num_battles: 5999
num_wins: 3070
celo_rating: 1292.6
family_friendly_score: 0.4968
family_friendly_standard_error: 0.007070922994913747
submission_type: basic
model_repo: ChaiML/cs-feed-score_sft_full-lr2e6
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.4600768451549354, 'latency_mean': 2.1734446120262145, 'latency_p50': 2.1838029623031616, 'latency_p90': 2.358338713645935}, {'batch_size': 2, 'throughput': 0.6755975956486576, 'latency_mean': 2.956105773448944, 'latency_p50': 2.953352928161621, 'latency_p90': 3.2045798778533934}, {'batch_size': 3, 'throughput': 0.816690014896055, 'latency_mean': 3.6622392785549165, 'latency_p50': 3.6511088609695435, 'latency_p90': 4.073401236534118}, {'batch_size': 4, 'throughput': 0.916111548093357, 'latency_mean': 4.351820989847183, 'latency_p50': 4.35274863243103, 'latency_p90': 5.035424470901489}, {'batch_size': 5, 'throughput': 0.9669432853089442, 'latency_mean': 5.146801116466523, 'latency_p50': 5.1673747301101685, 'latency_p90': 6.013404440879822}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-cs-feed-score-sf_63890_v3
ineligible_reason: num_battles<10000
is_internal_developer: True
language_model: ChaiML/cs-feed-score_sft_full-lr2e6
model_size: 24B
ranking_group: single
throughput_3p7s: 0.83
us_pacific_date: 2025-10-02
win_ratio: 0.5117519586597766
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', 'You:', '####', '####\n', '</s>'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': 'You: {message}\n', 'response_template': '####\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 chaiml-cs-feed-score-sf-63890-v3-mkmlizer
Waiting for job on chaiml-cs-feed-score-sf-63890-v3-mkmlizer to finish
Stopping job with name chaiml-cs-feed-score-sf-63890-v3-mkmlizer
%s, retrying in %s seconds...
Starting job with name chaiml-cs-feed-score-sf-63890-v3-mkmlizer
Waiting for job on chaiml-cs-feed-score-sf-63890-v3-mkmlizer to finish
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: ║                                                                     ║
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chaiml-cs-feed-score-sf-63890-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission mistralai-mistral-nem_93303_v569: ('http://mistralai-mistral-nem-93303-v569-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: Downloaded to shared memory in 56.289s
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: Checking if ChaiML/cs-feed-score_sft_full-lr2e6 already exists in ChaiML
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpuszpz75x, device:0
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: quantized model in 284.754s
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: Processed model ChaiML/cs-feed-score_sft_full-lr2e6 in 341.044s
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-cs-feed-score-sf-63890-v3/nvidia
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-cs-feed-score-sf-63890-v3/nvidia/config.json
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-cs-feed-score-sf-63890-v3/nvidia/special_tokens_map.json
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-cs-feed-score-sf-63890-v3/nvidia/tokenizer_config.json
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-cs-feed-score-sf-63890-v3/nvidia/tokenizer.json
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-cs-feed-score-sf-63890-v3/nvidia/flywheel_model.1.safetensors
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-cs-feed-score-sf-63890-v3/nvidia/flywheel_model.0.safetensors
chaiml-cs-feed-score-sf-63890-v3-mkmlizer: 
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Job chaiml-cs-feed-score-sf-63890-v3-mkmlizer completed after 401.97s with status: succeeded
Stopping job with name chaiml-cs-feed-score-sf-63890-v3-mkmlizer
Pipeline stage MKMLizer completed in 424.90s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-cs-feed-score-sf-63890-v3
Waiting for inference service chaiml-cs-feed-score-sf-63890-v3 to be ready
Inference service chaiml-cs-feed-score-sf-63890-v3 ready after 60.88320589065552s
Pipeline stage MKMLDeployer completed in 61.53s
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 2.3599491119384766s
Received healthy response to inference request in 1.761685848236084s
Received healthy response to inference request in 1.9124484062194824s
Received healthy response to inference request in 2.3535609245300293s
5 requests
1 failed requests
5th percentile: 1.7918383598327636
10th percentile: 1.8219908714294433
20th percentile: 1.8822958946228028
30th percentile: 2.000670909881592
40th percentile: 2.1771159172058105
50th percentile: 2.3535609245300293
60th percentile: 2.356116199493408
70th percentile: 2.358671474456787
80th percentile: 5.942375183105472
90th percentile: 13.107227325439455
95th percentile: 16.68965339660644
99th percentile: 19.55559425354004
mean time: 5.731944751739502
%s, retrying in %s seconds...
Received healthy response to inference request in 1.8495409488677979s
Received healthy response to inference request in 2.1756033897399902s
Received healthy response to inference request in 1.8557946681976318s
Received healthy response to inference request in 2.4733331203460693s
Received healthy response to inference request in 1.8197169303894043s
5 requests
0 failed requests
5th percentile: 1.825681734085083
10th percentile: 1.8316465377807618
20th percentile: 1.843576145172119
30th percentile: 1.8507916927337646
40th percentile: 1.8532931804656982
50th percentile: 1.8557946681976318
60th percentile: 1.9837181568145752
70th percentile: 2.1116416454315186
80th percentile: 2.2351493358612062
90th percentile: 2.354241228103638
95th percentile: 2.4137871742248533
99th percentile: 2.4614239311218262
mean time: 2.0347978115081786
Pipeline stage StressChecker completed in 42.16s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.70s
run pipeline stage %s
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 0.75s
Shutdown handler de-registered
chaiml-cs-feed-score-sf_63890_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
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 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-cs-feed-score-sf-63890-v3-profiler
Waiting for inference service chaiml-cs-feed-score-sf-63890-v3-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 2891.48s
Shutdown handler de-registered
chaiml-cs-feed-score-sf_63890_v3 status is now inactive due to auto deactivation removed underperforming models
chaiml-cs-feed-score-sf_63890_v3 status is now torndown due to DeploymentManager action