chaiml-1114-quang-ir-cl_84641

developer_uid: chai_backend_admin

submission_id: chaiml-1114-quang-ir-cl_84641_v1

model_name: training123

model_group: ChaiML/1114-quang-ir-cld

status: torndown

timestamp: 2025-11-18T09:16:41+00:00

num_battles: 6770

num_wins: 3499

celo_rating: 1297.99

family_friendly_score: 0.0

family_friendly_standard_error: 0.0

submission_type: basic

model_repo: ChaiML/1114-quang-ir-cld-multsth-rm-fs05-b002-dporm_multsth25k_0164642ep_2e5cs

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': 0.37564289007633395, 'latency_mean': 2.661977263689041, 'latency_p50': 2.6523414850234985, 'latency_p90': 2.9348325729370117}, {'batch_size': 2, 'throughput': 0.5505595764034389, 'latency_mean': 3.625780826807022, 'latency_p50': 3.6342653036117554, 'latency_p90': 3.925985598564148}, {'batch_size': 3, 'throughput': 0.6707061577408374, 'latency_mean': 4.454084671735764, 'latency_p50': 4.486243724822998, 'latency_p90': 4.940385389328003}, {'batch_size': 4, 'throughput': 0.7577105344327574, 'latency_mean': 5.27050472855568, 'latency_p50': 5.282625317573547, 'latency_p90': 5.976721668243409}, {'batch_size': 5, 'throughput': 0.8123341076972216, 'latency_mean': 6.118564323186875, 'latency_p50': 6.099763989448547, 'latency_p90': 7.0430532693862915}]

gpu_counts: {'NVIDIA L40S': 1}

display_name: training123

is_internal_developer: True

language_model: ChaiML/1114-quang-ir-cld-multsth-rm-fs05-b002-dporm_multsth25k_0164642ep_2e5cs

model_size: 24B

ranking_group: single

throughput_3p7s: 0.56

us_pacific_date: 2025-11-15

win_ratio: 0.5168389955686854

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': ['</s>', '####', 'You:', '\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-84641-v1-mkmlizer
Waiting for job on chaiml-1114-quang-ir-cl-84641-v1-mkmlizer to finish
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', '')
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-1114-quang-ir-cl-84641-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: ║                                                                     ║
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chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: ║                                                                     ║
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: ║                                                                     ║
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: ║                                                                     ║
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: ║                                                                     ║
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: Downloaded to shared memory in 64.632s
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: Checking if ChaiML/1114-quang-ir-cld-multsth-rm-fs05-b002-dporm_multsth25k_0164642ep_2e5cs already exists in ChaiML
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpvynw2ry1, device:0
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: quantized model in 41.825s
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: Processed model ChaiML/1114-quang-ir-cld-multsth-rm-fs05-b002-dporm_multsth25k_0164642ep_2e5cs in 106.458s
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-84641-v1/nvidia
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-84641-v1/nvidia/config.json
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-84641-v1/nvidia/special_tokens_map.json
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-84641-v1/nvidia/tokenizer_config.json
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-84641-v1/nvidia/tokenizer.json
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-84641-v1/nvidia/flywheel_model.0.safetensors
chaiml-1114-quang-ir-cl-84641-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-84641-v1/nvidia/flywheel_model.1.safetensors
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Job chaiml-1114-quang-ir-cl-84641-v1-mkmlizer completed after 174.82s with status: succeeded
Stopping job with name chaiml-1114-quang-ir-cl-84641-v1-mkmlizer
Pipeline stage MKMLizer completed in 175.62s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-1114-quang-ir-cl-84641-v1
Waiting for inference service chaiml-1114-quang-ir-cl-84641-v1 to be ready
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', '')
Inference service chaiml-1114-quang-ir-cl-84641-v1 ready after 161.10243463516235s
Pipeline stage MKMLDeployer completed in 162.36s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.474907159805298s
Received healthy response to inference request in 2.178462028503418s
Received healthy response to inference request in 2.6860814094543457s
Received healthy response to inference request in 2.380941152572632s
Received healthy response to inference request in 2.2551655769348145s
5 requests
0 failed requests
5th percentile: 2.193802738189697
10th percentile: 2.2091434478759764
20th percentile: 2.2398248672485352
30th percentile: 2.2803206920623778
40th percentile: 2.330630922317505
50th percentile: 2.380941152572632
60th percentile: 2.4185275554656984
70th percentile: 2.4561139583587646
80th percentile: 2.5171420097351076
90th percentile: 2.6016117095947267
95th percentile: 2.643846559524536
99th percentile: 2.6776344394683838
mean time: 2.3951114654541015
Pipeline stage StressChecker completed in 13.18s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.65s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.92s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
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Pipeline stage OfflineFamilyFriendlyScorer completed in 5002.20s
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