developer_uid: bogoconic1
submission_id: chaiml-gy-exp86-sftlora_69088_v1
model_name: chaiml-gy-exp86-sftlora_69088_v1
model_group: ChaiML/gy-exp86-sftlora-
status: torndown
timestamp: 2025-07-05T06:45:05+00:00
num_battles: 6675
num_wins: 3472
celo_rating: 1303.94
family_friendly_score: 0.5224
family_friendly_standard_error: 0.007063968289849552
submission_type: basic
model_repo: ChaiML/gy-exp86-sftlora-gy-datamix-v1-bo5-ep4
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': 0.5095423847734405, 'latency_mean': 1.9624231803417205, 'latency_p50': 1.9805543422698975, 'latency_p90': 2.1476832151412966}, {'batch_size': 3, 'throughput': 1.0540472032913544, 'latency_mean': 2.8358672785758974, 'latency_p50': 2.856155037879944, 'latency_p90': 3.1421530008316036}, {'batch_size': 5, 'throughput': 1.3422577059341272, 'latency_mean': 3.7018143689632415, 'latency_p50': 3.708618402481079, 'latency_p90': 4.1906431198120115}, {'batch_size': 6, 'throughput': 1.43986909936375, 'latency_mean': 4.1469078183174135, 'latency_p50': 4.0970271825790405, 'latency_p90': 4.66413643360138}, {'batch_size': 8, 'throughput': 1.5934830007670655, 'latency_mean': 4.976453076601029, 'latency_p50': 4.977320551872253, 'latency_p90': 5.692977976799011}, {'batch_size': 10, 'throughput': 1.653982299693211, 'latency_mean': 5.981487271785736, 'latency_p50': 5.964484930038452, 'latency_p90': 6.705961108207703}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-gy-exp86-sftlora_69088_v1
is_internal_developer: False
language_model: ChaiML/gy-exp86-sftlora-gy-datamix-v1-bo5-ep4
model_size: 24B
ranking_group: single
throughput_3p7s: 1.35
us_pacific_date: 2025-07-04
win_ratio: 0.5201498127340825
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': ['<|im_end|>', '\n', '<|im_start|>'], '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
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Running pipeline stage MKMLizer
Starting job with name chaiml-gy-exp86-sftlora-69088-v1-mkmlizer
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chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: ║ ║
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: ║ Version: 0.29.15 ║
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: ║ ║
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: ║ belonging to: ║
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: ║ ║
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
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chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: Downloaded to shared memory in 76.395s
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: Checking if ChaiML/gy-exp86-sftlora-gy-datamix-v1-bo5-ep4 already exists in ChaiML
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwzom_b4h, device:0
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: quantized model in 51.246s
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: Processed model ChaiML/gy-exp86-sftlora-gy-datamix-v1-bo5-ep4 in 127.642s
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp86-sftlora-69088-v1/nvidia
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp86-sftlora-69088-v1/nvidia/config.json
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp86-sftlora-69088-v1/nvidia/special_tokens_map.json
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp86-sftlora-69088-v1/nvidia/tokenizer_config.json
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp86-sftlora-69088-v1/nvidia/tokenizer.json
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp86-sftlora-69088-v1/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp86-sftlora-69088-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp86-sftlora-69088-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp86-sftlora-69088-v1-mkmlizer completed after 166.39s with status: succeeded
Stopping job with name chaiml-gy-exp86-sftlora-69088-v1-mkmlizer
Pipeline stage MKMLizer completed in 166.94s
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Inference service chaiml-gy-exp86-sftlora-69088-v1 ready after 222.00556325912476s
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Received healthy response to inference request in 2.6872732639312744s
Received healthy response to inference request in 1.844160556793213s
Received healthy response to inference request in 2.035010576248169s
Received healthy response to inference request in 1.9803171157836914s
Received healthy response to inference request in 2.230346918106079s
5 requests
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5th percentile: 1.8713918685913087
10th percentile: 1.8986231803894043
20th percentile: 1.9530858039855956
30th percentile: 1.991255807876587
40th percentile: 2.013133192062378
50th percentile: 2.035010576248169
60th percentile: 2.113145112991333
70th percentile: 2.191279649734497
80th percentile: 2.321732187271118
90th percentile: 2.5045027256011965
95th percentile: 2.5958879947662354
99th percentile: 2.6689962100982667
mean time: 2.1554216861724855
Pipeline stage StressChecker completed in 12.19s
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