developer_uid: bogoconic1
submission_id: chaiml-gy-exp133-dpo-ex_75916_v1
model_name: chaiml-gy-exp133-dpo-ex_75916_v1
model_group: ChaiML/gy-exp133-dpo-exp
status: torndown
timestamp: 2025-07-09T10:25:34+00:00
num_battles: 10209
num_wins: 5504
celo_rating: 1318.34
family_friendly_score: 0.5134000000000001
family_friendly_standard_error: 0.00706852799386124
submission_type: basic
model_repo: ChaiML/gy-exp133-dpo-exp78ep2s2-maxlen1280-exp122data-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': 0.5218956109483275, 'latency_mean': 1.915962723493576, 'latency_p50': 1.9221478700637817, 'latency_p90': 2.1327739477157595}, {'batch_size': 3, 'throughput': 1.0610473824925455, 'latency_mean': 2.811993316411972, 'latency_p50': 2.7970248460769653, 'latency_p90': 3.1274612188339233}, {'batch_size': 5, 'throughput': 1.3314775836575594, 'latency_mean': 3.7288362169265747, 'latency_p50': 3.7539501190185547, 'latency_p90': 4.106433773040771}, {'batch_size': 6, 'throughput': 1.4363792065022536, 'latency_mean': 4.160502803325653, 'latency_p50': 4.193446397781372, 'latency_p90': 4.62895016670227}, {'batch_size': 8, 'throughput': 1.5700391404398952, 'latency_mean': 5.05073312163353, 'latency_p50': 5.0460487604141235, 'latency_p90': 5.641620755195618}, {'batch_size': 10, 'throughput': 1.6560880620265765, 'latency_mean': 5.994999870061874, 'latency_p50': 6.036322593688965, 'latency_p90': 6.645000052452088}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-gy-exp133-dpo-ex_75916_v1
is_internal_developer: False
language_model: ChaiML/gy-exp133-dpo-exp78ep2s2-maxlen1280-exp122data-ep2
model_size: 24B
ranking_group: single
throughput_3p7s: 1.33
us_pacific_date: 2025-07-09
win_ratio: 0.5391321383093349
generation_params: {'temperature': 0.7, '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
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Running pipeline stage MKMLizer
Starting job with name chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer
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chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: ║ ║
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: ║ Version: 0.29.15 ║
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: ║ ║
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: ║ belonging to: ║
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: ║ ║
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: ║ ║
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: Downloaded to shared memory in 81.890s
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: Checking if ChaiML/gy-exp133-dpo-exp78ep2s2-maxlen1280-exp122data-ep2 already exists in ChaiML
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp1_4sbr6d, device:0
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: quantized model in 48.371s
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: Processed model ChaiML/gy-exp133-dpo-exp78ep2s2-maxlen1280-exp122data-ep2 in 130.261s
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp133-dpo-ex-75916-v1/nvidia
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp133-dpo-ex-75916-v1/nvidia/config.json
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp133-dpo-ex-75916-v1/nvidia/special_tokens_map.json
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp133-dpo-ex-75916-v1/nvidia/tokenizer_config.json
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp133-dpo-ex-75916-v1/nvidia/tokenizer.json
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp133-dpo-ex-75916-v1/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp133-dpo-ex-75916-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer completed after 156.52s with status: succeeded
Stopping job with name chaiml-gy-exp133-dpo-ex-75916-v1-mkmlizer
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Failed to get response for submission blend_hunen_2025-06-23: HTTPConnectionPool(host='guanaco-model-mesh.k2.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service chaiml-gy-exp133-dpo-ex-75916-v1 ready after 200.99471497535706s
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5th percentile: 1.9055359840393067
10th percentile: 1.9138046264648438
20th percentile: 1.930341911315918
30th percentile: 1.9487863540649415
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50th percentile: 1.9894895553588867
60th percentile: 2.094171237945557
70th percentile: 2.1988529205322265
80th percentile: 2.2850116729736327
90th percentile: 2.3526474952697756
95th percentile: 2.3864654064178468
99th percentile: 2.413519735336304
mean time: 2.0993689060211183
Pipeline stage StressChecker completed in 12.29s
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