developer_uid: zonemercy
submission_id: chaiml-cs-feed-score-v1-_5629_v5
model_name: chaiml-cs-feed-score-v1-_5629_v5
model_group: ChaiML/cs-feed-score-v1_
status: torndown
timestamp: 2025-10-16T00:15:09+00:00
num_battles: 12320
num_wins: 6303
celo_rating: 1305.28
family_friendly_score: 0.488
family_friendly_standard_error: 0.007069031050999847
submission_type: basic
model_repo: ChaiML/cs-feed-score-v1_1_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': 0.4570234544953026, 'latency_mean': 2.187952276468277, 'latency_p50': 2.2012600898742676, 'latency_p90': 2.3695615768432616}, {'batch_size': 2, 'throughput': 0.6685450917394599, 'latency_mean': 2.9910847425460814, 'latency_p50': 3.0087462663650513, 'latency_p90': 3.239884805679321}, {'batch_size': 3, 'throughput': 0.8034497924712122, 'latency_mean': 3.726759090423584, 'latency_p50': 3.7239160537719727, 'latency_p90': 4.325258445739746}, {'batch_size': 4, 'throughput': 0.8911098687089181, 'latency_mean': 4.472837888002395, 'latency_p50': 4.448936223983765, 'latency_p90': 5.099937915802002}, {'batch_size': 5, 'throughput': 0.9461733944750149, 'latency_mean': 5.260824872255325, 'latency_p50': 5.255027174949646, 'latency_p90': 6.021729946136475}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-cs-feed-score-v1-_5629_v5
is_internal_developer: True
language_model: ChaiML/cs-feed-score-v1_1_sft_full-lr2e6
model_size: 24B
ranking_group: single
throughput_3p7s: 0.8
us_pacific_date: 2025-10-15
win_ratio: 0.5116071428571428
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': ['You:', '</s>', '\n', '####\n', '####'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", '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-v1-5629-v5-mkmlizer
Waiting for job on chaiml-cs-feed-score-v1-5629-v5-mkmlizer to finish
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
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chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║  belonging to:                                                      ║
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: Downloaded to shared memory in 49.068s
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: Checking if ChaiML/cs-feed-score-v1_1_sft_full-lr2e6 already exists in ChaiML
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpwcafldmk, device:0
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: quantized model in 288.799s
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: Processed model ChaiML/cs-feed-score-v1_1_sft_full-lr2e6 in 337.868s
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: creating bucket guanaco-mkml-models
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-cs-feed-score-v1-5629-v5/nvidia
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-cs-feed-score-v1-5629-v5/nvidia/config.json
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-cs-feed-score-v1-5629-v5/nvidia/special_tokens_map.json
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-cs-feed-score-v1-5629-v5/nvidia/tokenizer_config.json
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-cs-feed-score-v1-5629-v5/nvidia/tokenizer.json
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-cs-feed-score-v1-5629-v5/nvidia/flywheel_model.1.safetensors
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-cs-feed-score-v1-5629-v5/nvidia/flywheel_model.0.safetensors
chaiml-cs-feed-score-v1-5629-v5-mkmlizer: 
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Job chaiml-cs-feed-score-v1-5629-v5-mkmlizer completed after 419.63s with status: succeeded
Stopping job with name chaiml-cs-feed-score-v1-5629-v5-mkmlizer
Pipeline stage MKMLizer completed in 420.23s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-cs-feed-score-v1-5629-v5
Waiting for inference service chaiml-cs-feed-score-v1-5629-v5 to be ready
Inference service chaiml-cs-feed-score-v1-5629-v5 ready after 60.36552691459656s
Pipeline stage MKMLDeployer completed in 60.92s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4957425594329834s
Received healthy response to inference request in 1.7050604820251465s
Received healthy response to inference request in 1.7297263145446777s
Received healthy response to inference request in 1.8187010288238525s
Received healthy response to inference request in 1.690359354019165s
5 requests
0 failed requests
5th percentile: 1.6932995796203614
10th percentile: 1.6962398052215577
20th percentile: 1.7021202564239502
30th percentile: 1.7099936485290528
40th percentile: 1.7198599815368651
50th percentile: 1.7297263145446777
60th percentile: 1.7653162002563476
70th percentile: 1.8009060859680175
80th percentile: 1.9541093349456788
90th percentile: 2.2249259471893312
95th percentile: 2.360334253311157
99th percentile: 2.468660898208618
mean time: 1.887917947769165
Pipeline stage StressChecker completed in 10.70s
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 0.63s
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 0.63s
Shutdown handler de-registered
chaiml-cs-feed-score-v1-_5629_v5 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 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-cs-feed-score-v1-5629-v5-profiler
Waiting for inference service chaiml-cs-feed-score-v1-5629-v5-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 2822.22s
Shutdown handler de-registered
chaiml-cs-feed-score-v1-_5629_v5 status is now inactive due to auto deactivation removed underperforming models
chaiml-cs-feed-score-v1-_5629_v5 status is now torndown due to DeploymentManager action