developer_uid: bogoconic1
submission_id: chaiml-gy-exp67-dpo-exp_18647_v1
model_name: chaiml-gy-exp67-dpo-exp_18647_v1
model_group: ChaiML/gy-exp67-dpo-exp3
status: torndown
timestamp: 2025-07-03T07:16:39+00:00
num_battles: 11539
num_wins: 6189
celo_rating: 1312.35
family_friendly_score: 0.5154000000000001
family_friendly_standard_error: 0.0070677130671809255
submission_type: basic
model_repo: ChaiML/gy-exp67-dpo-exp32ep8s2-pref-grok3-sub-nis-majib-30jun-ep2
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.5185030507684509, 'latency_mean': 1.9285055637359618, 'latency_p50': 1.9387856721878052, 'latency_p90': 2.1219462156295776}, {'batch_size': 3, 'throughput': 1.0509296660210068, 'latency_mean': 2.8464637529850005, 'latency_p50': 2.849704146385193, 'latency_p90': 3.103935146331787}, {'batch_size': 5, 'throughput': 1.3287601635795563, 'latency_mean': 3.738760133981705, 'latency_p50': 3.7222131490707397, 'latency_p90': 4.201488327980042}, {'batch_size': 6, 'throughput': 1.4340085856664906, 'latency_mean': 4.149384276866913, 'latency_p50': 4.147839903831482, 'latency_p90': 4.6286855936050415}, {'batch_size': 8, 'throughput': 1.565478553568917, 'latency_mean': 5.076047375202179, 'latency_p50': 5.082528829574585, 'latency_p90': 5.649502158164978}, {'batch_size': 10, 'throughput': 1.655469481153396, 'latency_mean': 5.993490419387817, 'latency_p50': 5.997284889221191, 'latency_p90': 6.754798936843872}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-gy-exp67-dpo-exp_18647_v1
is_internal_developer: True
language_model: ChaiML/gy-exp67-dpo-exp32ep8s2-pref-grok3-sub-nis-majib-30jun-ep2
model_size: 24B
ranking_group: single
throughput_3p7s: 1.33
us_pacific_date: 2025-07-03
win_ratio: 0.5363549701013953
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_end|>', '<|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
run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer
Waiting for job on chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer to finish
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chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: ║ ║
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: ║ Version: 0.29.15 ║
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: ║ ║
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: ║ belonging to: ║
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: ║ ║
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: ║ ║
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: Downloaded to shared memory in 74.669s
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: Checking if ChaiML/gy-exp67-dpo-exp32ep8s2-pref-grok3-sub-nis-majib-30jun-ep2 already exists in ChaiML
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpo84ozska, device:0
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: quantized model in 49.241s
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: Processed model ChaiML/gy-exp67-dpo-exp32ep8s2-pref-grok3-sub-nis-majib-30jun-ep2 in 123.910s
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp67-dpo-exp-18647-v1/nvidia
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp67-dpo-exp-18647-v1/nvidia/config.json
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp67-dpo-exp-18647-v1/nvidia/special_tokens_map.json
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp67-dpo-exp-18647-v1/nvidia/tokenizer_config.json
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp67-dpo-exp-18647-v1/nvidia/tokenizer.json
chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp67-dpo-exp-18647-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer completed after 157.06s with status: succeeded
Stopping job with name chaiml-gy-exp67-dpo-exp-18647-v1-mkmlizer
Pipeline stage MKMLizer completed in 158.29s
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Creating inference service chaiml-gy-exp67-dpo-exp-18647-v1
Waiting for inference service chaiml-gy-exp67-dpo-exp-18647-v1 to be ready
Failed to get response for submission blend_nonab_2025-06-17: HTTPConnectionPool(host='guanaco-model-mesh.k2.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service chaiml-gy-exp67-dpo-exp-18647-v1 ready after 201.544353723526s
Pipeline stage MKMLDeployer completed in 202.26s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.6363961696624756s
Received healthy response to inference request in 2.1765735149383545s
Received healthy response to inference request in 2.332472562789917s
Received healthy response to inference request in 2.1878716945648193s
Received healthy response to inference request in 1.9294497966766357s
5 requests
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5th percentile: 1.9788745403289796
10th percentile: 2.0282992839813234
20th percentile: 2.1271487712860107
30th percentile: 2.1788331508636474
40th percentile: 2.1833524227142336
50th percentile: 2.1878716945648193
60th percentile: 2.2457120418548584
70th percentile: 2.3035523891448975
80th percentile: 2.3932572841644286
90th percentile: 2.5148267269134523
95th percentile: 2.575611448287964
99th percentile: 2.6242392253875733
mean time: 2.2525527477264404
Pipeline stage StressChecker completed in 12.50s
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