developer_uid: bogoconic1
submission_id: chaiml-gy-exp59-dpo-gy-_79099_v1
model_name: chaiml-gy-exp59-dpo-gy-_79099_v1
model_group: ChaiML/gy-exp59-dpo-gy-d
status: torndown
timestamp: 2025-07-02T11:44:41+00:00
num_battles: 8023
num_wins: 3362
celo_rating: 1228.75
family_friendly_score: 0.7514000000000001
family_friendly_standard_error: 0.006112250649310776
submission_type: basic
model_repo: ChaiML/gy-exp59-dpo-gy-datamix-v2.5-orig-safe-grok-rerank-ep1
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.5905009426687492, 'latency_mean': 1.693301112651825, 'latency_p50': 1.7036010026931763, 'latency_p90': 1.853023600578308}, {'batch_size': 3, 'throughput': 1.0619496671151256, 'latency_mean': 2.8145401072502136, 'latency_p50': 2.8355787992477417, 'latency_p90': 3.0862791061401365}, {'batch_size': 5, 'throughput': 1.2808609028559195, 'latency_mean': 3.878415162563324, 'latency_p50': 3.90738582611084, 'latency_p90': 4.288370418548584}, {'batch_size': 6, 'throughput': 1.3373905218019142, 'latency_mean': 4.45584666967392, 'latency_p50': 4.452392339706421, 'latency_p90': 5.0201547861099245}, {'batch_size': 8, 'throughput': 1.4098588156802283, 'latency_mean': 5.634249490499497, 'latency_p50': 5.665392994880676, 'latency_p90': 6.261430478096008}, {'batch_size': 10, 'throughput': 1.430271244461223, 'latency_mean': 6.942815605401993, 'latency_p50': 6.8882763385772705, 'latency_p90': 7.977011370658874}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-gy-exp59-dpo-gy-_79099_v1
is_internal_developer: True
language_model: ChaiML/gy-exp59-dpo-gy-datamix-v2.5-orig-safe-grok-rerank-ep1
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-02
win_ratio: 0.41904524492085254
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_start|>', '\n', '<|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
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Starting job with name chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer
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chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: ║                                                                     ║
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chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: ║  Version: 0.29.8                                                    ║
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: Downloaded to shared memory in 42.049s
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: Checking if ChaiML/gy-exp59-dpo-gy-datamix-v2.5-orig-safe-grok-rerank-ep1 already exists in ChaiML
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpip9y9koz, device:0
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: quantized model in 30.331s
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: Processed model ChaiML/gy-exp59-dpo-gy-datamix-v2.5-orig-safe-grok-rerank-ep1 in 72.380s
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp59-dpo-gy-79099-v1/nvidia
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp59-dpo-gy-79099-v1/nvidia/special_tokens_map.json
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp59-dpo-gy-79099-v1/nvidia/config.json
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp59-dpo-gy-79099-v1/nvidia/tokenizer_config.json
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp59-dpo-gy-79099-v1/nvidia/tokenizer.json
chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp59-dpo-gy-79099-v1/nvidia/flywheel_model.0.safetensors
Job chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer completed after 104.16s with status: succeeded
Stopping job with name chaiml-gy-exp59-dpo-gy-79099-v1-mkmlizer
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Received healthy response to inference request in 1.6945068836212158s
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10th percentile: 1.6812729358673095
20th percentile: 1.690095567703247
30th percentile: 1.7134586334228517
40th percentile: 1.751362133026123
50th percentile: 1.7892656326293945
60th percentile: 1.8619863510131835
70th percentile: 1.9347070693969726
80th percentile: 2.0159771919250487
90th percentile: 2.105796718597412
95th percentile: 2.150706481933594
99th percentile: 2.1866342926025393
mean time: 1.864581298828125
Pipeline stage StressChecker completed in 10.55s
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