developer_uid: chai_backend_admin
submission_id: chaiml-1107-quang-ir-mi_50050_v1
model_name: training123
model_group: ChaiML/1107-quang-ir-mix
status: torndown
timestamp: 2025-11-10T16:01:40+00:00
num_battles: 7717
num_wins: 3888
celo_rating: 1290.99
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/1107-quang-ir-mixall-cld-i8a8-hl-mul-f10000-dpo_00564641ep_2e6ct
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': 0.3786696719291311, 'latency_mean': 2.640723547935486, 'latency_p50': 2.6502891778945923, 'latency_p90': 2.8729109525680543}, {'batch_size': 2, 'throughput': 0.5701054920603429, 'latency_mean': 3.5069621312618255, 'latency_p50': 3.498044729232788, 'latency_p90': 3.8264758586883545}, {'batch_size': 3, 'throughput': 0.697369211285427, 'latency_mean': 4.278199194669724, 'latency_p50': 4.298765301704407, 'latency_p90': 4.976526880264283}, {'batch_size': 4, 'throughput': 0.7930765899745715, 'latency_mean': 5.024922021627426, 'latency_p50': 5.050516128540039, 'latency_p90': 5.720809984207153}, {'batch_size': 5, 'throughput': 0.8475235543676987, 'latency_mean': 5.8646558570861815, 'latency_p50': 5.883434891700745, 'latency_p90': 6.71370632648468}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/1107-quang-ir-mixall-cld-i8a8-hl-mul-f10000-dpo_00564641ep_2e6ct
model_size: 24B
ranking_group: single
throughput_3p7s: 0.61
us_pacific_date: 2025-11-07
win_ratio: 0.5038227290397823
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
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Running pipeline stage MKMLizer
Starting job with name chaiml-1107-quang-ir-mi-50050-v1-mkmlizer
Waiting for job on chaiml-1107-quang-ir-mi-50050-v1-mkmlizer to finish
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ║                                                                     ║
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chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ║                                                                     ║
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ║                                                                     ║
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ║                                                                     ║
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ║                                                                     ║
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: Downloaded to shared memory in 65.777s
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: Checking if ChaiML/1107-quang-ir-mixall-cld-i8a8-hl-mul-f10000-dpo_00564641ep_2e6ct already exists in ChaiML
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpjfla_3vr, device:0
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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-1107-quang-ir-mi-50050-v1-mkmlizer: quantized model in 44.341s
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: Processed model ChaiML/1107-quang-ir-mixall-cld-i8a8-hl-mul-f10000-dpo_00564641ep_2e6ct in 110.118s
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-50050-v1/nvidia
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-50050-v1/nvidia/config.json
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-50050-v1/nvidia/special_tokens_map.json
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-50050-v1/nvidia/tokenizer_config.json
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-50050-v1/nvidia/tokenizer.json
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-50050-v1/nvidia/flywheel_model.1.safetensors
chaiml-1107-quang-ir-mi-50050-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-50050-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-1107-quang-ir-mi-50050-v1-mkmlizer completed after 185.28s with status: succeeded
Stopping job with name chaiml-1107-quang-ir-mi-50050-v1-mkmlizer
Pipeline stage MKMLizer completed in 185.79s
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Creating inference service chaiml-1107-quang-ir-mi-50050-v1
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Inference service chaiml-1107-quang-ir-mi-50050-v1 ready after 170.89867162704468s
Pipeline stage MKMLDeployer completed in 171.48s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.489856719970703s
Received healthy response to inference request in 2.3750689029693604s
Received healthy response to inference request in 2.215101718902588s
Received healthy response to inference request in 2.319669485092163s
Received healthy response to inference request in 2.3013875484466553s
5 requests
0 failed requests
5th percentile: 2.2323588848114015
10th percentile: 2.2496160507202148
20th percentile: 2.2841303825378416
30th percentile: 2.305043935775757
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50th percentile: 2.319669485092163
60th percentile: 2.341829252243042
70th percentile: 2.363989019393921
80th percentile: 2.398026466369629
90th percentile: 2.443941593170166
95th percentile: 2.4668991565704346
99th percentile: 2.4852652072906496
mean time: 2.340216875076294
Pipeline stage StressChecker completed in 13.22s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 5377.06s
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