developer_uid: chai_backend_admin
submission_id: chaiml-ca18-v1-9-dpo-b025_v1
model_name: training123
model_group: ChaiML/ca18-v1-9-dpo_b02
status: torndown
timestamp: 2025-11-20T09:41:13+00:00
num_battles: 5489
num_wins: 2910
celo_rating: 1307.91
family_friendly_score: 0.5126
family_friendly_standard_error: 0.007068822249851809
submission_type: basic
model_repo: ChaiML/ca18-v1-9-dpo_b025
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6859692087044681, 'latency_mean': 1.4576696252822876, 'latency_p50': 1.4526032209396362, 'latency_p90': 1.5990079164505004}, {'batch_size': 3, 'throughput': 1.275909446307938, 'latency_mean': 2.3497363340854647, 'latency_p50': 2.355987787246704, 'latency_p90': 2.536483645439148}, {'batch_size': 5, 'throughput': 1.5681927634480477, 'latency_mean': 3.1740712213516233, 'latency_p50': 3.150342345237732, 'latency_p90': 3.609530735015869}, {'batch_size': 6, 'throughput': 1.647872204381313, 'latency_mean': 3.6223039591312407, 'latency_p50': 3.6271920204162598, 'latency_p90': 4.041925978660584}, {'batch_size': 8, 'throughput': 1.7769541961842794, 'latency_mean': 4.4719878101348876, 'latency_p50': 4.449502348899841, 'latency_p90': 5.172615504264831}, {'batch_size': 10, 'throughput': 1.8370251954599974, 'latency_mean': 5.404082982540131, 'latency_p50': 5.362177729606628, 'latency_p90': 6.034288477897644}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/ca18-v1-9-dpo_b025
model_size: 13B
ranking_group: single
throughput_3p7s: 1.67
us_pacific_date: 2025-11-17
win_ratio: 0.530151211513937
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', 'User:', 'You:', '</s>'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': True}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer
Waiting for job on chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer to finish
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chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: ║ ║
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: ║ ║
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: ║ belonging to: ║
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chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
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chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: Downloaded to shared memory in 43.906s
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: Checking if ChaiML/ca18-v1-9-dpo_b025 already exists in ChaiML
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpoe9gly4m, device:0
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: quantized model in 26.022s
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: Processed model ChaiML/ca18-v1-9-dpo_b025 in 69.929s
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-ca18-v1-9-dpo-b025-v1/nvidia
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-ca18-v1-9-dpo-b025-v1/nvidia/config.json
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-ca18-v1-9-dpo-b025-v1/nvidia/special_tokens_map.json
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-ca18-v1-9-dpo-b025-v1/nvidia/tokenizer_config.json
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-ca18-v1-9-dpo-b025-v1/nvidia/tokenizer.json
chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-ca18-v1-9-dpo-b025-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer completed after 144.42s with status: succeeded
Stopping job with name chaiml-ca18-v1-9-dpo-b025-v1-mkmlizer
Pipeline stage MKMLizer completed in 144.90s
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Inference service chaiml-ca18-v1-9-dpo-b025-v1 ready after 160.90859699249268s
Pipeline stage MKMLDeployer completed in 161.45s
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Received healthy response to inference request in 1.738774061203003s
Received healthy response to inference request in 1.8408968448638916s
Received healthy response to inference request in 1.3421919345855713s
5 requests
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5th percentile: 1.3067436695098877
10th percentile: 1.3156057357788087
20th percentile: 1.3333298683166503
30th percentile: 1.4215083599090577
40th percentile: 1.5801412105560302
50th percentile: 1.738774061203003
60th percentile: 1.7796231746673583
70th percentile: 1.820472288131714
80th percentile: 1.8452698230743407
90th percentile: 1.8540157794952392
95th percentile: 1.8583887577056886
99th percentile: 1.8618871402740478
mean time: 1.616501235961914
Pipeline stage StressChecker completed in 9.77s
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