chaiml-cs-feed-score-v1-_5629

developer_uid: chai_backend_admin

submission_id: chaiml-cs-feed-score-v1-_5629_v1

model_name: chaiml-cs-feed-score-v1-_5629_v1

model_group: ChaiML/cs-feed-score-v1_

status: inactive

timestamp: 2025-10-03T12:49:59+00:00

num_battles: 6824

num_wins: 3474

celo_rating: 1293.81

family_friendly_score: 0.0

family_friendly_standard_error: 0.0

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': 0.3788861948355363, 'latency_mean': 2.639217840433121, 'latency_p50': 2.6410984992980957, 'latency_p90': 2.900377798080444}, {'batch_size': 2, 'throughput': 0.5660716646597356, 'latency_mean': 3.5320999586582182, 'latency_p50': 3.5261964797973633, 'latency_p90': 3.8227781295776366}, {'batch_size': 3, 'throughput': 0.6956294733831927, 'latency_mean': 4.284952328205109, 'latency_p50': 4.3030208349227905, 'latency_p90': 4.678608179092407}, {'batch_size': 4, 'throughput': 0.7883299388171371, 'latency_mean': 5.0580178952217105, 'latency_p50': 5.076890587806702, 'latency_p90': 5.669803738594055}, {'batch_size': 5, 'throughput': 0.8481812766005008, 'latency_mean': 5.859878658056259, 'latency_p50': 5.860162973403931, 'latency_p90': 6.666353249549865}]

gpu_counts: {'NVIDIA L40S': 1}

display_name: chaiml-cs-feed-score-v1-_5629_v1

is_internal_developer: True

language_model: ChaiML/cs-feed-score-v1_1_sft_full-lr2e6

model_size: 24B

ranking_group: single

throughput_3p7s: 0.6

us_pacific_date: 2025-10-03

win_ratio: 0.5090855803048066

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:', '####', '</s>', '####\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-v1-mkmlizer
Waiting for job on chaiml-cs-feed-score-v1-5629-v1-mkmlizer to finish
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ║                                                                     ║
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chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: Downloaded to shared memory in 51.560s
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: Checking if ChaiML/cs-feed-score-v1_1_sft_full-lr2e6 already exists in ChaiML
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpd43cdpwm, device:0
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: quantized model in 42.150s
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: Processed model ChaiML/cs-feed-score-v1_1_sft_full-lr2e6 in 93.710s
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-cs-feed-score-v1-5629-v1/nvidia
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-cs-feed-score-v1-5629-v1/nvidia/config.json
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-cs-feed-score-v1-5629-v1/nvidia/special_tokens_map.json
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-cs-feed-score-v1-5629-v1/nvidia/tokenizer_config.json
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-cs-feed-score-v1-5629-v1/nvidia/tokenizer.json
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-cs-feed-score-v1-5629-v1/nvidia/flywheel_model.1.safetensors
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-cs-feed-score-v1-5629-v1/nvidia/flywheel_model.0.safetensors
chaiml-cs-feed-score-v1-5629-v1-mkmlizer: 
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Job chaiml-cs-feed-score-v1-5629-v1-mkmlizer completed after 165.69s with status: succeeded
Stopping job with name chaiml-cs-feed-score-v1-5629-v1-mkmlizer
Pipeline stage MKMLizer completed in 167.17s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-cs-feed-score-v1-5629-v1
Waiting for inference service chaiml-cs-feed-score-v1-5629-v1 to be ready
Inference service chaiml-cs-feed-score-v1-5629-v1 ready after 60.414923667907715s
Pipeline stage MKMLDeployer completed in 60.99s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.428718328475952s
Received healthy response to inference request in 2.1270084381103516s
Received healthy response to inference request in 2.3950912952423096s
Received healthy response to inference request in 2.41941499710083s
Received healthy response to inference request in 2.132244348526001s
5 requests
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5th percentile: 2.1280556201934813
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60th percentile: 2.404820775985718
70th percentile: 2.414550256729126
80th percentile: 2.4212756633758543
90th percentile: 2.4249969959259032
95th percentile: 2.426857662200928
99th percentile: 2.4283461952209473
mean time: 2.300495481491089
Pipeline stage StressChecker completed in 14.04s
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