developer_uid: chai_backend_admin
submission_id: chaiml-1106-quang-ir-mix_7883_v1
model_name: training123
model_group: ChaiML/1106-quang-ir-mix
status: torndown
timestamp: 2025-11-10T06:01:33+00:00
num_battles: 5732
num_wins: 2920
celo_rating: 1303.85
family_friendly_score: 0.5422
family_friendly_standard_error: 0.007045837920361212
submission_type: basic
model_repo: ChaiML/1106-quang-ir-mixall-cld-i8a8-hl-mult-f5000-dpo_0164641ep_5e6ct
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': 0.38448488785734525, 'latency_mean': 2.6007624208927154, 'latency_p50': 2.6015816926956177, 'latency_p90': 2.8628631353378298}, {'batch_size': 2, 'throughput': 0.574063016857289, 'latency_mean': 3.4772146356105806, 'latency_p50': 3.4944595098495483, 'latency_p90': 3.7929267406463625}, {'batch_size': 3, 'throughput': 0.7092247024718509, 'latency_mean': 4.215970219373703, 'latency_p50': 4.204941153526306, 'latency_p90': 4.712328910827637}, {'batch_size': 4, 'throughput': 0.8120558113231409, 'latency_mean': 4.902352598905563, 'latency_p50': 4.86875319480896, 'latency_p90': 5.71987202167511}, {'batch_size': 5, 'throughput': 0.8617222516983332, 'latency_mean': 5.779668477773666, 'latency_p50': 5.780004143714905, 'latency_p90': 6.63025426864624}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/1106-quang-ir-mixall-cld-i8a8-hl-mult-f5000-dpo_0164641ep_5e6ct
model_size: 24B
ranking_group: single
throughput_3p7s: 0.62
us_pacific_date: 2025-11-06
win_ratio: 0.5094207955338451
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:', '####', '\n', '</s>'], '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-1106-quang-ir-mix-7883-v1-mkmlizer
Waiting for job on chaiml-1106-quang-ir-mix-7883-v1-mkmlizer to finish
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chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: ║ ║
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: ║ ║
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: ║ belonging to: ║
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: ║ ║
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: ║ ║
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: Downloaded to shared memory in 63.445s
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: Checking if ChaiML/1106-quang-ir-mixall-cld-i8a8-hl-mult-f5000-dpo_0164641ep_5e6ct already exists in ChaiML
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptft696n7, device:0
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: quantized model in 42.883s
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: Processed model ChaiML/1106-quang-ir-mixall-cld-i8a8-hl-mult-f5000-dpo_0164641ep_5e6ct in 106.328s
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1106-quang-ir-mix-7883-v1/nvidia
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1106-quang-ir-mix-7883-v1/nvidia/config.json
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1106-quang-ir-mix-7883-v1/nvidia/special_tokens_map.json
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1106-quang-ir-mix-7883-v1/nvidia/tokenizer_config.json
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1106-quang-ir-mix-7883-v1/nvidia/tokenizer.json
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1106-quang-ir-mix-7883-v1/nvidia/flywheel_model.0.safetensors
chaiml-1106-quang-ir-mix-7883-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1106-quang-ir-mix-7883-v1/nvidia/flywheel_model.1.safetensors
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Job chaiml-1106-quang-ir-mix-7883-v1-mkmlizer completed after 165.22s with status: succeeded
Stopping job with name chaiml-1106-quang-ir-mix-7883-v1-mkmlizer
Pipeline stage MKMLizer completed in 165.80s
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Creating inference service chaiml-1106-quang-ir-mix-7883-v1
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Inference service chaiml-1106-quang-ir-mix-7883-v1 ready after 171.1417577266693s
Pipeline stage MKMLDeployer completed in 171.67s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.426417350769043s
Received healthy response to inference request in 2.1705565452575684s
Received healthy response to inference request in 2.1215288639068604s
Received healthy response to inference request in 2.365934133529663s
Received healthy response to inference request in 2.0832202434539795s
5 requests
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5th percentile: 2.0908819675445556
10th percentile: 2.0985436916351317
20th percentile: 2.1138671398162843
30th percentile: 2.131334400177002
40th percentile: 2.150945472717285
50th percentile: 2.1705565452575684
60th percentile: 2.248707580566406
70th percentile: 2.3268586158752442
80th percentile: 2.378030776977539
90th percentile: 2.402224063873291
95th percentile: 2.414320707321167
99th percentile: 2.4239980220794677
mean time: 2.233531427383423
Pipeline stage StressChecker completed in 12.47s
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