developer_uid: chai_backend_admin
submission_id: chaiml-1103-quang-ir-mi_67995_v1
model_name: training123
model_group: ChaiML/1103-quang-ir-mix
status: torndown
timestamp: 2025-11-07T03:01:25+00:00
num_battles: 6376
num_wins: 3283
celo_rating: 1295.89
family_friendly_score: 0.4858
family_friendly_standard_error: 0.0070682156164056
submission_type: basic
model_repo: ChaiML/1103-quang-ir-mixallnov3-cld-i8a8-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': 0.38351220122473106, 'latency_mean': 2.6073574805259705, 'latency_p50': 2.602987051010132, 'latency_p90': 2.8746681451797484}, {'batch_size': 2, 'throughput': 0.5724235987884134, 'latency_mean': 3.4879675233364105, 'latency_p50': 3.463676929473877, 'latency_p90': 3.794664740562439}, {'batch_size': 3, 'throughput': 0.7039412887980898, 'latency_mean': 4.241698235273361, 'latency_p50': 4.2523581981658936, 'latency_p90': 4.818654656410217}, {'batch_size': 4, 'throughput': 0.8012709322040713, 'latency_mean': 4.985166153907776, 'latency_p50': 4.975075364112854, 'latency_p90': 5.72104742527008}, {'batch_size': 5, 'throughput': 0.8584566175167309, 'latency_mean': 5.785171277523041, 'latency_p50': 5.769072413444519, 'latency_p90': 6.708379507064819}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/1103-quang-ir-mixallnov3-cld-i8a8-onlyh2
model_size: 24B
ranking_group: single
throughput_3p7s: 0.62
us_pacific_date: 2025-11-03
win_ratio: 0.5148996235884568
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', '</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-1103-quang-ir-mi-67995-v1-mkmlizer
Waiting for job on chaiml-1103-quang-ir-mi-67995-v1-mkmlizer to finish
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chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: ║ ║
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: ║ ║
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: ║ The license key for the current software has been verified as ║
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chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
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chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: Downloaded to shared memory in 65.852s
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: Checking if ChaiML/1103-quang-ir-mixallnov3-cld-i8a8-onlyh2 already exists in ChaiML
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpvlp6hpn4, device:0
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: quantized model in 42.011s
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: Processed model ChaiML/1103-quang-ir-mixallnov3-cld-i8a8-onlyh2 in 107.864s
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1103-quang-ir-mi-67995-v1/nvidia
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1103-quang-ir-mi-67995-v1/nvidia/config.json
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1103-quang-ir-mi-67995-v1/nvidia/special_tokens_map.json
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1103-quang-ir-mi-67995-v1/nvidia/tokenizer_config.json
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1103-quang-ir-mi-67995-v1/nvidia/tokenizer.json
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1103-quang-ir-mi-67995-v1/nvidia/flywheel_model.1.safetensors
chaiml-1103-quang-ir-mi-67995-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1103-quang-ir-mi-67995-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-1103-quang-ir-mi-67995-v1-mkmlizer completed after 185.38s with status: succeeded
Stopping job with name chaiml-1103-quang-ir-mi-67995-v1-mkmlizer
Pipeline stage MKMLizer completed in 185.95s
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Creating inference service chaiml-1103-quang-ir-mi-67995-v1
Waiting for inference service chaiml-1103-quang-ir-mi-67995-v1 to be ready
Inference service chaiml-1103-quang-ir-mi-67995-v1 ready after 140.91390895843506s
Pipeline stage MKMLDeployer completed in 141.46s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.3150346279144287s
Received healthy response to inference request in 2.1731033325195312s
Received healthy response to inference request in 2.1326863765716553s
Received healthy response to inference request in 2.1832563877105713s
Received healthy response to inference request in 2.4717657566070557s
5 requests
0 failed requests
5th percentile: 2.1407697677612303
10th percentile: 2.1488531589508058
20th percentile: 2.1650199413299562
30th percentile: 2.1751339435577393
40th percentile: 2.1791951656341553
50th percentile: 2.1832563877105713
60th percentile: 2.235967683792114
70th percentile: 2.2886789798736573
80th percentile: 2.346380853652954
90th percentile: 2.409073305130005
95th percentile: 2.4404195308685304
99th percentile: 2.465496511459351
mean time: 2.2551692962646483
Pipeline stage StressChecker completed in 13.01s
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