developer_uid: bogoconic1
submission_id: chaiml-gy-exp104-sft-gy-_9066_v1
model_name: chaiml-gy-exp104-sft-gy-_9066_v1
model_group: ChaiML/gy-exp104-sft-gy-
status: torndown
timestamp: 2025-07-07T08:29:47+00:00
num_battles: 9738
num_wins: 4989
celo_rating: 1295.89
family_friendly_score: 0.5244
family_friendly_standard_error: 0.007062643131292986
submission_type: basic
model_repo: ChaiML/gy-exp104-sft-gy-datamix-v1-bo8-reward-gt0.6-ep2
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5202409526363714, 'latency_mean': 1.9220862078666687, 'latency_p50': 1.9175233840942383, 'latency_p90': 2.1309318065643312}, {'batch_size': 3, 'throughput': 1.0636677582465368, 'latency_mean': 2.811854432821274, 'latency_p50': 2.818326950073242, 'latency_p90': 3.1168972730636595}, {'batch_size': 5, 'throughput': 1.3322010974108434, 'latency_mean': 3.724779443740845, 'latency_p50': 3.701743006706238, 'latency_p90': 4.187564325332642}, {'batch_size': 6, 'throughput': 1.4511985652485437, 'latency_mean': 4.116176391839981, 'latency_p50': 4.040714621543884, 'latency_p90': 4.64265193939209}, {'batch_size': 8, 'throughput': 1.5706286998855388, 'latency_mean': 5.053398512601852, 'latency_p50': 4.9908753633499146, 'latency_p90': 5.718850874900818}, {'batch_size': 10, 'throughput': 1.6506259478285343, 'latency_mean': 6.0110887742042545, 'latency_p50': 6.058436393737793, 'latency_p90': 6.721038246154785}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-gy-exp104-sft-gy-_9066_v1
is_internal_developer: False
language_model: ChaiML/gy-exp104-sft-gy-datamix-v1-bo8-reward-gt0.6-ep2
model_size: 24B
ranking_group: single
throughput_3p7s: 1.34
us_pacific_date: 2025-07-07
win_ratio: 0.5123228589032656
generation_params: {'temperature': 0.6, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['\n', '<|im_start|>', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|system|>Family Friendly{memory}\n', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\nYou:{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', '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-gy-exp104-sft-gy-9066-v1-mkmlizer
Waiting for job on chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer to finish
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chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: ║ ║
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: ║ Version: 0.29.15 ║
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: ║ ║
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: ║ belonging to: ║
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: ║ ║
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: ║ ║
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: Downloaded to shared memory in 79.248s
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: Checking if ChaiML/gy-exp104-sft-gy-datamix-v1-bo8-reward-gt0.6-ep2 already exists in ChaiML
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpjulncuvr, device:0
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: quantized model in 47.988s
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: Processed model ChaiML/gy-exp104-sft-gy-datamix-v1-bo8-reward-gt0.6-ep2 in 127.237s
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp104-sft-gy-9066-v1/nvidia
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp104-sft-gy-9066-v1/nvidia/config.json
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp104-sft-gy-9066-v1/nvidia/special_tokens_map.json
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp104-sft-gy-9066-v1/nvidia/tokenizer_config.json
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp104-sft-gy-9066-v1/nvidia/tokenizer.json
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp104-sft-gy-9066-v1/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp104-sft-gy-9066-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer completed after 157.37s with status: succeeded
Stopping job with name chaiml-gy-exp104-sft-gy-9066-v1-mkmlizer
Pipeline stage MKMLizer completed in 157.89s
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Creating inference service chaiml-gy-exp104-sft-gy-9066-v1
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Inference service chaiml-gy-exp104-sft-gy-9066-v1 ready after 180.7904245853424s
Pipeline stage MKMLDeployer completed in 181.65s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.745039939880371s
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Received healthy response to inference request in 2.095353126525879s
Received healthy response to inference request in 1.8516016006469727s
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5th percentile: 1.8410266876220702
10th percentile: 1.843670415878296
20th percentile: 1.8489578723907472
30th percentile: 1.9003519058227538
40th percentile: 1.9978525161743164
50th percentile: 2.095353126525879
60th percentile: 2.2852402687072755
70th percentile: 2.4751274108886716
80th percentile: 2.6050647735595702
90th percentile: 2.675052356719971
95th percentile: 2.710046148300171
99th percentile: 2.738041181564331
mean time: 2.2200897216796873
Pipeline stage StressChecker completed in 12.45s
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Evaluating %s Family Friendly Score with %s threads
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Pipeline stage OfflineFamilyFriendlyScorer completed in 6380.88s
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