chaiml-1102-quang-ir-mi_41843

developer_uid: chai_backend_admin

submission_id: chaiml-1102-quang-ir-mi_41843_v1

model_name: training123

model_group: ChaiML/1102-quang-ir-mix

status: inactive

timestamp: 2025-11-03T02:46:57+00:00

num_battles: 6725

num_wins: 3490

celo_rating: 1302.98

family_friendly_score: 0.0

family_friendly_standard_error: 0.0

submission_type: basic

model_repo: ChaiML/1102-quang-ir-mixo31n1-cld-iq7-adh8-onlyh2

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': 0.3771679704286781, 'latency_mean': 2.6512414717674258, 'latency_p50': 2.6518760919570923, 'latency_p90': 2.928433918952942}, {'batch_size': 2, 'throughput': 0.564430638242002, 'latency_mean': 3.5428384828567503, 'latency_p50': 3.555893301963806, 'latency_p90': 3.8435837268829345}, {'batch_size': 3, 'throughput': 0.7018475930762318, 'latency_mean': 4.266167651414872, 'latency_p50': 4.237348198890686, 'latency_p90': 4.659343552589417}, {'batch_size': 4, 'throughput': 0.791285404417976, 'latency_mean': 5.03587877035141, 'latency_p50': 5.115123987197876, 'latency_p90': 5.795958995819092}, {'batch_size': 5, 'throughput': 0.8529057568862103, 'latency_mean': 5.8476007008552555, 'latency_p50': 5.90125048160553, 'latency_p90': 6.458750581741333}]

gpu_counts: {'NVIDIA L40S': 1}

display_name: training123

is_internal_developer: True

language_model: ChaiML/1102-quang-ir-mixo31n1-cld-iq7-adh8-onlyh2

model_size: 24B

ranking_group: single

throughput_3p7s: 0.6

us_pacific_date: 2025-11-02

win_ratio: 0.5189591078066914

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}", '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-1102-quang-ir-mi-41843-v1-mkmlizer
Waiting for job on chaiml-1102-quang-ir-mi-41843-v1-mkmlizer to finish
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: ║                                                                     ║
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chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: ║                                                                     ║
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: ║                                                                     ║
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: ║                                                                     ║
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: ║                                                                     ║
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: Downloaded to shared memory in 61.404s
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: Checking if ChaiML/1102-quang-ir-mixo31n1-cld-iq7-adh8-onlyh2 already exists in ChaiML
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpssilm_vc, device:0
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: quantized model in 42.937s
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: Processed model ChaiML/1102-quang-ir-mixo31n1-cld-iq7-adh8-onlyh2 in 104.341s
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-41843-v1/nvidia
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-41843-v1/nvidia/config.json
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-41843-v1/nvidia/special_tokens_map.json
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-41843-v1/nvidia/tokenizer_config.json
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-41843-v1/nvidia/tokenizer.json
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-41843-v1/nvidia/flywheel_model.1.safetensors
chaiml-1102-quang-ir-mi-41843-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-41843-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-1102-quang-ir-mi-41843-v1-mkmlizer completed after 165.95s with status: succeeded
Stopping job with name chaiml-1102-quang-ir-mi-41843-v1-mkmlizer
Pipeline stage MKMLizer completed in 166.78s
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Creating inference service chaiml-1102-quang-ir-mi-41843-v1
Waiting for inference service chaiml-1102-quang-ir-mi-41843-v1 to be ready
Inference service chaiml-1102-quang-ir-mi-41843-v1 ready after 130.6315722465515s
Pipeline stage MKMLDeployer completed in 131.19s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.580798864364624s
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Received healthy response to inference request in 2.3761982917785645s
Received healthy response to inference request in 2.076903820037842s
Received healthy response to inference request in 2.08174204826355s
5 requests
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5th percentile: 2.0778714656829833
10th percentile: 2.078839111328125
20th percentile: 2.0807744026184083
30th percentile: 2.140633296966553
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50th percentile: 2.3761982917785645
60th percentile: 2.435775566101074
70th percentile: 2.495352840423584
80th percentile: 2.536272954940796
90th percentile: 2.55853590965271
95th percentile: 2.569667387008667
99th percentile: 2.5785725688934327
mean time: 2.328156900405884
Pipeline stage StressChecker completed in 13.19s
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