chaiml-gy-exp32-sftlora_95624

developer_uid: bogoconic1

submission_id: chaiml-gy-exp32-sftlora_95624_v4

model_name: chaiml-gy-exp32-sftlora_95624_v4

model_group: ChaiML/gy-exp32-sftlora-

status: torndown

timestamp: 2025-07-04T05:28:07+00:00

num_battles: 6018

num_wins: 3145

celo_rating: 1310.63

family_friendly_score: 0.5198

family_friendly_standard_error: 0.007065521353728966

submission_type: basic

model_repo: ChaiML/gy-exp32-sftlora-gy-datamix-v1-msglevel-trunc-ep8

model_architecture: MistralForCausalLM

model_num_parameters: 24096691200.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.5224275148084044, 'latency_mean': 1.9140436053276062, 'latency_p50': 1.9150457382202148, 'latency_p90': 2.1022253036499023}, {'batch_size': 3, 'throughput': 1.056501072063686, 'latency_mean': 2.8300397312641143, 'latency_p50': 2.8109726905822754, 'latency_p90': 3.172404170036316}, {'batch_size': 5, 'throughput': 1.315873332113985, 'latency_mean': 3.781287521123886, 'latency_p50': 3.81327486038208, 'latency_p90': 4.194486474990844}, {'batch_size': 6, 'throughput': 1.42061397344418, 'latency_mean': 4.194164007902145, 'latency_p50': 4.216712832450867, 'latency_p90': 4.663123941421508}, {'batch_size': 8, 'throughput': 1.5532996971418447, 'latency_mean': 5.105886952877045, 'latency_p50': 5.108370900154114, 'latency_p90': 5.729101943969726}, {'batch_size': 10, 'throughput': 1.6317104810027414, 'latency_mean': 6.067754969596863, 'latency_p50': 6.043866395950317, 'latency_p90': 6.902983450889587}]

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

display_name: chaiml-gy-exp32-sftlora_95624_v4

is_internal_developer: True

language_model: ChaiML/gy-exp32-sftlora-gy-datamix-v1-msglevel-trunc-ep8

model_size: 24B

ranking_group: single

throughput_3p7s: 1.31

us_pacific_date: 2025-07-03

win_ratio: 0.5225988700564972

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
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-gy-exp32-sftlora-95624-v4-mkmlizer
Waiting for job on chaiml-gy-exp32-sftlora-95624-v4-mkmlizer to finish
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: ║                                                                     ║
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chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: ║                                                                     ║
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: ║                                                                     ║
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: ║                                                                     ║
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: ║                                                                     ║
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: Downloaded to shared memory in 54.395s
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: Checking if ChaiML/gy-exp32-sftlora-gy-datamix-v1-msglevel-trunc-ep8 already exists in ChaiML
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwd3at5of, device:0
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: quantized model in 48.455s
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: Processed model ChaiML/gy-exp32-sftlora-gy-datamix-v1-msglevel-trunc-ep8 in 102.851s
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp32-sftlora-95624-v4/nvidia
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp32-sftlora-95624-v4/nvidia/config.json
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp32-sftlora-95624-v4/nvidia/special_tokens_map.json
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp32-sftlora-95624-v4/nvidia/tokenizer_config.json
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp32-sftlora-95624-v4/nvidia/tokenizer.json
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp32-sftlora-95624-v4/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp32-sftlora-95624-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp32-sftlora-95624-v4/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp32-sftlora-95624-v4-mkmlizer completed after 136.67s with status: succeeded
Stopping job with name chaiml-gy-exp32-sftlora-95624-v4-mkmlizer
Pipeline stage MKMLizer completed in 137.65s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-gy-exp32-sftlora-95624-v4
Waiting for inference service chaiml-gy-exp32-sftlora-95624-v4 to be ready
Unable to record family friendly update due to error: Invalid JSON input: JSON must contain 'User Safety' and 'Response Safety' fields
Retrying (%r) after connection broken by '%r': %s
Inference service chaiml-gy-exp32-sftlora-95624-v4 ready after 220.89519929885864s
Pipeline stage MKMLDeployer completed in 221.62s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.513310194015503s
Received healthy response to inference request in 1.8638176918029785s
Received healthy response to inference request in 1.846358060836792s
Received healthy response to inference request in 1.980480432510376s
Received healthy response to inference request in 2.15564227104187s
5 requests
0 failed requests
5th percentile: 1.8498499870300293
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95th percentile: 2.4417766094207765
99th percentile: 2.4990034770965575
mean time: 2.071921730041504
Pipeline stage StressChecker completed in 11.71s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2944.46s
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chaiml-gy-exp32-sftlora_95624_v4 status is now inactive due to auto deactivation removed underperforming models
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