developer_uid: chai_backend_admin
submission_id: chaiml-1102-quang-ir-mi_89348_v1
model_name: training123
model_group: ChaiML/1102-quang-ir-mix
status: inactive
timestamp: 2025-11-03T02:06:10+00:00
num_battles: 5984
num_wins: 3132
celo_rating: 1301.32
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/1102-quang-ir-mixo31n1-cld-iq8-adh8-onlyh-dpo_2e60052e
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': 0.3799831460155144, 'latency_mean': 2.6315747237205507, 'latency_p50': 2.6325701475143433, 'latency_p90': 2.9068097352981566}, {'batch_size': 2, 'throughput': 0.5756992692084454, 'latency_mean': 3.4731794428825378, 'latency_p50': 3.480196714401245, 'latency_p90': 3.8145306825637815}, {'batch_size': 3, 'throughput': 0.7011878984833858, 'latency_mean': 4.260785489082337, 'latency_p50': 4.281713843345642, 'latency_p90': 4.904262280464172}, {'batch_size': 4, 'throughput': 0.797809221732625, 'latency_mean': 4.994331374168396, 'latency_p50': 4.98131000995636, 'latency_p90': 5.775452089309693}, {'batch_size': 5, 'throughput': 0.8637055856961546, 'latency_mean': 5.753523218631744, 'latency_p50': 5.739375710487366, 'latency_p90': 6.585671544075012}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/1102-quang-ir-mixo31n1-cld-iq8-adh8-onlyh-dpo_2e60052e
model_size: 24B
ranking_group: single
throughput_3p7s: 0.62
us_pacific_date: 2025-11-02
win_ratio: 0.5233957219251337
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:', '</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-89348-v1-mkmlizer
Waiting for job on chaiml-1102-quang-ir-mi-89348-v1-mkmlizer to finish
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chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: ║ ║
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: ║ ║
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: ║ The license key for the current software has been verified as ║
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chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
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chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: Downloaded to shared memory in 58.551s
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: Checking if ChaiML/1102-quang-ir-mixo31n1-cld-iq8-adh8-onlyh-dpo_2e60052e already exists in ChaiML
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpvld82n6r, device:0
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: quantized model in 43.014s
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: Processed model ChaiML/1102-quang-ir-mixo31n1-cld-iq8-adh8-onlyh-dpo_2e60052e in 101.565s
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-89348-v1/nvidia
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-89348-v1/nvidia/config.json
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-89348-v1/nvidia/special_tokens_map.json
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-89348-v1/nvidia/tokenizer_config.json
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-89348-v1/nvidia/tokenizer.json
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-89348-v1/nvidia/flywheel_model.1.safetensors
chaiml-1102-quang-ir-mi-89348-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-89348-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-1102-quang-ir-mi-89348-v1-mkmlizer completed after 155.1s with status: succeeded
Stopping job with name chaiml-1102-quang-ir-mi-89348-v1-mkmlizer
Pipeline stage MKMLizer completed in 156.30s
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Creating inference service chaiml-1102-quang-ir-mi-89348-v1
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Inference service chaiml-1102-quang-ir-mi-89348-v1 ready after 130.6457552909851s
Pipeline stage MKMLDeployer completed in 131.50s
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Received healthy response to inference request in 2.161587715148926s
Received healthy response to inference request in 2.6046552658081055s
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5th percentile: 2.12607421875
10th percentile: 2.1349525928497313
20th percentile: 2.1527093410491944
30th percentile: 2.214401435852051
40th percentile: 2.320028877258301
50th percentile: 2.425656318664551
60th percentile: 2.4972558975219727
70th percentile: 2.5688554763793947
80th percentile: 2.6213372230529783
90th percentile: 2.6547011375427245
95th percentile: 2.671383094787598
99th percentile: 2.684728660583496
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Pipeline stage StressChecker completed in 13.63s
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