developer_uid: chai_backend_admin
submission_id: chaiml-1114-quang-ir-cl_10498_v1
model_name: training123
model_group: ChaiML/1114-quang-ir-cld
status: torndown
timestamp: 2025-11-18T05:51:25+00:00
num_battles: 5821
num_wins: 3089
celo_rating: 1301.39
family_friendly_score: 0.4306
family_friendly_standard_error: 0.00700262293715719
submission_type: basic
model_repo: ChaiML/1114-quang-ir-cld-freev2-rm-fs06-b002-dporm_freev22_005164642ep_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': 0.37345338737238376, 'latency_mean': 2.677589526176453, 'latency_p50': 2.696471691131592, 'latency_p90': 2.9370022058486938}, {'batch_size': 2, 'throughput': 0.5536048850588045, 'latency_mean': 3.603672308921814, 'latency_p50': 3.631190538406372, 'latency_p90': 3.878985643386841}, {'batch_size': 3, 'throughput': 0.6842230234751177, 'latency_mean': 4.371357148885727, 'latency_p50': 4.369791269302368, 'latency_p90': 4.758317542076111}, {'batch_size': 4, 'throughput': 0.7678068591312224, 'latency_mean': 5.1858964228630064, 'latency_p50': 5.206994891166687, 'latency_p90': 5.949267053604126}, {'batch_size': 5, 'throughput': 0.8309027689058053, 'latency_mean': 5.999773772954941, 'latency_p50': 6.006431460380554, 'latency_p90': 6.9139257907867435}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/1114-quang-ir-cld-freev2-rm-fs06-b002-dporm_freev22_005164642ep_2e5cs
model_size: 24B
ranking_group: single
throughput_3p7s: 0.57
us_pacific_date: 2025-11-14
win_ratio: 0.5306648342209243
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
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Starting job with name chaiml-1114-quang-ir-cl-10498-v1-mkmlizer
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chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ belonging to: ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ ║
chaiml-1114-quang-ir-cl-10498-v1-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', '')
Stopping job with name chaiml-1114-quang-ir-cl-10498-v1-mkmlizer
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Starting job with name chaiml-1114-quang-ir-cl-10498-v1-mkmlizer
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chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ belonging to: ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ║ ║
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: Downloaded to shared memory in 91.173s
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: Checking if ChaiML/1114-quang-ir-cld-freev2-rm-fs06-b002-dporm_freev22_005164642ep_2e5cs already exists in ChaiML
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmph1ova334, device:0
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: quantized model in 41.660s
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: Processed model ChaiML/1114-quang-ir-cld-freev2-rm-fs06-b002-dporm_freev22_005164642ep_2e5cs in 132.833s
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-10498-v1/nvidia
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-10498-v1/nvidia/config.json
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-10498-v1/nvidia/special_tokens_map.json
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-10498-v1/nvidia/tokenizer_config.json
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-10498-v1/nvidia/tokenizer.json
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-10498-v1/nvidia/flywheel_model.1.safetensors
chaiml-1114-quang-ir-cl-10498-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1114-quang-ir-cl-10498-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-1114-quang-ir-cl-10498-v1-mkmlizer completed after 206.46s with status: succeeded
Stopping job with name chaiml-1114-quang-ir-cl-10498-v1-mkmlizer
Pipeline stage MKMLizer completed in 280.06s
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Creating inference service chaiml-1114-quang-ir-cl-10498-v1
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Inference service chaiml-1114-quang-ir-cl-10498-v1 ready after 170.67877411842346s
Pipeline stage MKMLDeployer completed in 171.20s
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Received healthy response to inference request in 2.8170366287231445s
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5th percentile: 2.167404317855835
10th percentile: 2.2068498611450194
20th percentile: 2.2857409477233888
30th percentile: 2.3284685134887697
40th percentile: 2.335032558441162
50th percentile: 2.3415966033935547
60th percentile: 2.3898144721984864
70th percentile: 2.438032341003418
80th percentile: 2.533120346069336
90th percentile: 2.6750784873962403
95th percentile: 2.746057558059692
99th percentile: 2.802840814590454
mean time: 2.4147839546203613
Pipeline stage StressChecker completed in 13.86s
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