chaiml-gy-exp78-sft-gy-_32548

developer_uid: bogoconic1

submission_id: chaiml-gy-exp78-sft-gy-_32548_v2

model_name: chaiml-gy-exp78-sft-gy-_32548_v2

model_group: ChaiML/gy-exp78-sft-gy-d

status: torndown

timestamp: 2025-07-08T12:34:14+00:00

num_battles: 7104

num_wins: 3584

celo_rating: 1299.06

family_friendly_score: 0.5512

family_friendly_standard_error: 0.007033897354951947

submission_type: basic

model_repo: ChaiML/gy-exp78-sft-gy-datamix-v1-AR-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': 0.5207857160594999, 'latency_mean': 1.9200791478157044, 'latency_p50': 1.9105769395828247, 'latency_p90': 2.1255481243133545}, {'batch_size': 3, 'throughput': 1.0633798155172276, 'latency_mean': 2.8180849838256834, 'latency_p50': 2.7996912002563477, 'latency_p90': 3.092848873138428}, {'batch_size': 5, 'throughput': 1.3502075214960017, 'latency_mean': 3.6879817855358126, 'latency_p50': 3.6820844411849976, 'latency_p90': 4.138143515586853}, {'batch_size': 6, 'throughput': 1.460823120399669, 'latency_mean': 4.093191128969193, 'latency_p50': 4.1342597007751465, 'latency_p90': 4.570663738250732}, {'batch_size': 8, 'throughput': 1.5912370122961894, 'latency_mean': 4.9796962225437165, 'latency_p50': 4.994196891784668, 'latency_p90': 5.632059025764465}, {'batch_size': 10, 'throughput': 1.6768226989484838, 'latency_mean': 5.900588829517364, 'latency_p50': 5.922595024108887, 'latency_p90': 6.689292097091675}]

gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}

display_name: chaiml-gy-exp78-sft-gy-_32548_v2

is_internal_developer: False

language_model: ChaiML/gy-exp78-sft-gy-datamix-v1-AR-ep2

model_size: 24B

ranking_group: single

throughput_3p7s: 1.36

us_pacific_date: 2025-07-08

win_ratio: 0.5045045045045045

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

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-exp78-sft-gy-32548-v2-mkmlizer
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chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: ║                                                                     ║
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chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: ║                                                                     ║
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: ║                                                                     ║
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: ║                                                                     ║
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: ║                                                                     ║
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: Downloaded to shared memory in 56.172s
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: Checking if ChaiML/gy-exp78-sft-gy-datamix-v1-AR-ep2 already exists in ChaiML
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5w9vchfm, device:0
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: quantized model in 48.019s
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: Processed model ChaiML/gy-exp78-sft-gy-datamix-v1-AR-ep2 in 104.191s
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp78-sft-gy-32548-v2/nvidia
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp78-sft-gy-32548-v2/nvidia/config.json
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp78-sft-gy-32548-v2/nvidia/special_tokens_map.json
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp78-sft-gy-32548-v2/nvidia/tokenizer_config.json
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp78-sft-gy-32548-v2/nvidia/tokenizer.json
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp78-sft-gy-32548-v2/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp78-sft-gy-32548-v2/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer completed after 137.34s with status: succeeded
Stopping job with name chaiml-gy-exp78-sft-gy-32548-v2-mkmlizer
Pipeline stage MKMLizer completed in 138.12s
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Creating inference service chaiml-gy-exp78-sft-gy-32548-v2
Waiting for inference service chaiml-gy-exp78-sft-gy-32548-v2 to be ready
Failed to get response for submission chaiml-lance-orion-vamp_55818_v1: HTTPConnectionPool(host='chaiml-lance-orion-vamp-55818-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service chaiml-gy-exp78-sft-gy-32548-v2 ready after 191.59334087371826s
Pipeline stage MKMLDeployer completed in 192.58s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.7826907634735107s
Received healthy response to inference request in 1.9823360443115234s
Received healthy response to inference request in 2.552286386489868s
Received healthy response to inference request in 2.276508331298828s
Received healthy response to inference request in 1.9612362384796143s
5 requests
0 failed requests
5th percentile: 1.965456199645996
10th percentile: 1.9696761608123778
20th percentile: 1.9781160831451416
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80th percentile: 2.5983672618865965
90th percentile: 2.6905290126800536
95th percentile: 2.7366098880767824
99th percentile: 2.773474588394165
mean time: 2.311011552810669
Pipeline stage StressChecker completed in 13.13s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3197.22s
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chaiml-gy-exp78-sft-gy-_32548_v2 status is now inactive due to auto deactivation removed underperforming models
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