chaiml-1114-quang-ir-cl_76815

developer_uid: chai_backend_admin

submission_id: chaiml-1114-quang-ir-cl_76815_v1

model_name: training123

model_group: ChaiML/1114-quang-ir-cld

status: torndown

timestamp: 2025-11-18T07:46:23+00:00

num_battles: 6298

num_wins: 3334

celo_rating: 1306.79

family_friendly_score: 0.0

family_friendly_standard_error: 0.0

submission_type: basic

model_repo: ChaiML/1114-quang-ir-cld-multsth-rm-fs06-b002-dporm_multsth25k_0164642ep_3e5cs

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': 0.30324105926413353, 'latency_mean': 3.2975843942165373, 'latency_p50': 2.833958148956299, 'latency_p90': 5.8181583166122435}, {'batch_size': 2, 'throughput': 0.5461953496192506, 'latency_mean': 3.655875613689423, 'latency_p50': 3.6602834463119507, 'latency_p90': 3.9960859298706053}, {'batch_size': 3, 'throughput': 0.6758432257488962, 'latency_mean': 4.427413114309311, 'latency_p50': 4.425235629081726, 'latency_p90': 4.926152682304382}, {'batch_size': 4, 'throughput': 0.7649616311365828, 'latency_mean': 5.207728488445282, 'latency_p50': 5.212032675743103, 'latency_p90': 5.922164726257324}, {'batch_size': 5, 'throughput': 0.8224330832385597, 'latency_mean': 6.06179050207138, 'latency_p50': 6.082474231719971, 'latency_p90': 6.944404411315918}]

gpu_counts: {'NVIDIA L40S': 1}

display_name: training123

is_internal_developer: True

language_model: ChaiML/1114-quang-ir-cld-multsth-rm-fs06-b002-dporm_multsth25k_0164642ep_3e5cs

model_size: 24B

ranking_group: single

throughput_3p7s: 0.56

us_pacific_date: 2025-11-14

win_ratio: 0.5293744045728803

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'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "{bot_name}'s persona: {memory}", '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-1114-quang-ir-cl-76815-v1-mkmlizer
Waiting for job on chaiml-1114-quang-ir-cl-76815-v1-mkmlizer to finish
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ║                                                                     ║
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chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
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chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ║                                                                     ║
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ║                                                                     ║
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ║                                                                     ║
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ║                                                                     ║
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission chaiml-mistral32-deeps_89261_v28: ('http://chaiml-mistral32-deeps-89261-v28-predictor.tenant-chaiml-guanaco.kchai-coreweave-us-east-04a.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:47314->127.0.0.1:8080: read: connection reset by peer\n')
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: Downloaded to shared memory in 67.696s
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: Checking if ChaiML/1114-quang-ir-cld-multsth-rm-fs06-b002-dporm_multsth25k_0164642ep_3e5cs already exists in ChaiML
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4rpkphdp, device:0
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: quantized model in 41.947s
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: Processed model ChaiML/1114-quang-ir-cld-multsth-rm-fs06-b002-dporm_multsth25k_0164642ep_3e5cs in 109.643s
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-76815-v1/nvidia
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-76815-v1/nvidia/special_tokens_map.json
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-76815-v1/nvidia/config.json
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-76815-v1/nvidia/tokenizer_config.json
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-76815-v1/nvidia/tokenizer.json
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-76815-v1/nvidia/flywheel_model.1.safetensors
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-76815-v1/nvidia/flywheel_model.0.safetensors
chaiml-1114-quang-ir-cl-76815-v1-mkmlizer: 
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Job chaiml-1114-quang-ir-cl-76815-v1-mkmlizer completed after 184.74s with status: succeeded
Stopping job with name chaiml-1114-quang-ir-cl-76815-v1-mkmlizer
Pipeline stage MKMLizer completed in 185.29s
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Running pipeline stage MKMLTemplater
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-1114-quang-ir-cl-76815-v1
Waiting for inference service chaiml-1114-quang-ir-cl-76815-v1 to be ready
Inference service chaiml-1114-quang-ir-cl-76815-v1 ready after 160.60132575035095s
Pipeline stage MKMLDeployer completed in 161.47s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.3855085372924805s
Received healthy response to inference request in 2.3373372554779053s
Received healthy response to inference request in 2.5116615295410156s
Received healthy response to inference request in 2.3540844917297363s
Received healthy response to inference request in 2.6351161003112793s
5 requests
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mean time: 2.4447415828704835
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