developer_uid: chai_backend_admin
submission_id: chaiml-1104-quang-ir-mi_16588_v1
model_name: training123
model_group: ChaiML/1104-quang-ir-mix
status: torndown
timestamp: 2025-11-08T01:31:20+00:00
num_battles: 6418
num_wins: 3298
celo_rating: 1293.38
family_friendly_score: 0.508
family_friendly_standard_error: 0.007070162657251953
submission_type: basic
model_repo: ChaiML/1104-quang-ir-mixall-cld-i8a8-hl-f100002
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': 0.37968600381252704, 'latency_mean': 2.633659089803696, 'latency_p50': 2.625765323638916, 'latency_p90': 2.8678951025009156}, {'batch_size': 2, 'throughput': 0.5718746823787824, 'latency_mean': 3.495326451063156, 'latency_p50': 3.487301230430603, 'latency_p90': 3.820107936859131}, {'batch_size': 3, 'throughput': 0.7084400668281149, 'latency_mean': 4.2221706771850585, 'latency_p50': 4.188825845718384, 'latency_p90': 4.600949287414551}, {'batch_size': 4, 'throughput': 0.8030436771866979, 'latency_mean': 4.955413988828659, 'latency_p50': 4.953057289123535, 'latency_p90': 5.596755003929138}, {'batch_size': 5, 'throughput': 0.8601142568307437, 'latency_mean': 5.79499981880188, 'latency_p50': 5.778881549835205, 'latency_p90': 6.713057637214661}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/1104-quang-ir-mixall-cld-i8a8-hl-f100002
model_size: 24B
ranking_group: single
throughput_3p7s: 0.62
us_pacific_date: 2025-11-04
win_ratio: 0.5138672483639763
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>', '\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-1104-quang-ir-mi-16588-v1-mkmlizer
Waiting for job on chaiml-1104-quang-ir-mi-16588-v1-mkmlizer to finish
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chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: ║ ║
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: ║ ║
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chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
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chaiml-1104-quang-ir-mi-16588-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', '')
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: Downloaded to shared memory in 65.287s
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: Checking if ChaiML/1104-quang-ir-mixall-cld-i8a8-hl-f100002 already exists in ChaiML
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_x2_xjr6, device:0
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: quantized model in 42.140s
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: Processed model ChaiML/1104-quang-ir-mixall-cld-i8a8-hl-f100002 in 107.427s
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1104-quang-ir-mi-16588-v1/nvidia
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1104-quang-ir-mi-16588-v1/nvidia/config.json
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1104-quang-ir-mi-16588-v1/nvidia/special_tokens_map.json
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1104-quang-ir-mi-16588-v1/nvidia/tokenizer_config.json
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1104-quang-ir-mi-16588-v1/nvidia/tokenizer.json
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1104-quang-ir-mi-16588-v1/nvidia/flywheel_model.1.safetensors
chaiml-1104-quang-ir-mi-16588-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1104-quang-ir-mi-16588-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-1104-quang-ir-mi-16588-v1-mkmlizer completed after 186.0s with status: succeeded
Stopping job with name chaiml-1104-quang-ir-mi-16588-v1-mkmlizer
Pipeline stage MKMLizer completed in 186.55s
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Creating inference service chaiml-1104-quang-ir-mi-16588-v1
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Inference service chaiml-1104-quang-ir-mi-16588-v1 ready after 140.97105503082275s
Pipeline stage MKMLDeployer completed in 141.55s
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Received healthy response to inference request in 2.5025079250335693s
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Received healthy response to inference request in 2.141810894012451s
Received healthy response to inference request in 2.469419002532959s
Received healthy response to inference request in 2.279741048812866s
5 requests
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5th percentile: 2.1595340251922606
10th percentile: 2.1772571563720704
20th percentile: 2.2127034187316896
30th percentile: 2.2402894496917725
40th percentile: 2.2600152492523193
50th percentile: 2.279741048812866
60th percentile: 2.3556122303009035
70th percentile: 2.4314834117889403
80th percentile: 2.476036787033081
90th percentile: 2.489272356033325
95th percentile: 2.4958901405334473
99th percentile: 2.501184368133545
mean time: 2.324781084060669
Pipeline stage StressChecker completed in 13.07s
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