developer_uid: chai_backend_admin
submission_id: chaiml-1101-quang-ir-mi_72415_v1
model_name: training123
model_group: ChaiML/1101-quang-ir-mix
status: inactive
timestamp: 2025-11-01T20:17:23+00:00
num_battles: 7118
num_wins: 3749
celo_rating: 1306.66
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/1101-quang-ir-mixo31n1-cld-iq8-adh8-onlyh3
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': 0.37964259402443534, 'latency_mean': 2.633956116437912, 'latency_p50': 2.623189091682434, 'latency_p90': 2.895867133140564}, {'batch_size': 2, 'throughput': 0.5616803461918862, 'latency_mean': 3.554025483131409, 'latency_p50': 3.582480788230896, 'latency_p90': 3.8868835687637326}, {'batch_size': 3, 'throughput': 0.6965282372515563, 'latency_mean': 4.3004101109504695, 'latency_p50': 4.29729425907135, 'latency_p90': 4.733361053466797}, {'batch_size': 4, 'throughput': 0.7872671179514434, 'latency_mean': 5.058022314310074, 'latency_p50': 5.05719268321991, 'latency_p90': 5.865097451210022}, {'batch_size': 5, 'throughput': 0.8489971398602423, 'latency_mean': 5.866652020215988, 'latency_p50': 5.880082845687866, 'latency_p90': 6.584936356544494}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/1101-quang-ir-mixo31n1-cld-iq8-adh8-onlyh3
model_size: 24B
ranking_group: single
throughput_3p7s: 0.59
us_pacific_date: 2025-11-01
win_ratio: 0.5266928912615904
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', '####', '####\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-1101-quang-ir-mi-72415-v1-mkmlizer
Waiting for job on chaiml-1101-quang-ir-mi-72415-v1-mkmlizer to finish
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chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: ║ ║
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: ║ ║
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: ║ The license key for the current software has been verified as ║
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chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
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chaiml-1101-quang-ir-mi-72415-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-1101-quang-ir-mi-72415-v1-mkmlizer: Downloaded to shared memory in 78.858s
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: Checking if ChaiML/1101-quang-ir-mixo31n1-cld-iq8-adh8-onlyh3 already exists in ChaiML
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmphvjcgifj, device:0
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: quantized model in 42.103s
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: Processed model ChaiML/1101-quang-ir-mixo31n1-cld-iq8-adh8-onlyh3 in 120.962s
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-72415-v1/nvidia
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-72415-v1/nvidia/config.json
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-72415-v1/nvidia/special_tokens_map.json
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-72415-v1/nvidia/tokenizer_config.json
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-72415-v1/nvidia/tokenizer.json
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-72415-v1/nvidia/flywheel_model.1.safetensors
chaiml-1101-quang-ir-mi-72415-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-72415-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-1101-quang-ir-mi-72415-v1-mkmlizer completed after 195.32s with status: succeeded
Stopping job with name chaiml-1101-quang-ir-mi-72415-v1-mkmlizer
Pipeline stage MKMLizer completed in 195.77s
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Pipeline stage MKMLTemplater completed in 0.14s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-1101-quang-ir-mi-72415-v1
Waiting for inference service chaiml-1101-quang-ir-mi-72415-v1 to be ready
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', '')
Inference service chaiml-1101-quang-ir-mi-72415-v1 ready after 131.03871250152588s
Pipeline stage MKMLDeployer completed in 131.88s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.4684391021728516s
Received healthy response to inference request in 2.229584217071533s
Received healthy response to inference request in 2.6893489360809326s
Received healthy response to inference request in 2.235530376434326s
Received healthy response to inference request in 2.2972288131713867s
5 requests
0 failed requests
5th percentile: 2.230773448944092
10th percentile: 2.2319626808166504
20th percentile: 2.2343411445617676
30th percentile: 2.2478700637817384
40th percentile: 2.2725494384765623
50th percentile: 2.2972288131713867
60th percentile: 2.3657129287719725
70th percentile: 2.4341970443725587
80th percentile: 2.5126210689544677
90th percentile: 2.6009850025177004
95th percentile: 2.6451669692993165
99th percentile: 2.6805125427246095
mean time: 2.384026288986206
Pipeline stage StressChecker completed in 13.48s
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