developer_uid: NischayDnk
submission_id: chaiml-exp87-dpo-megasft_7337_v1
model_name: chaiml-exp87-dpo-megasft_7337_v1
model_group: ChaiML/exp87-dpo-megasft
status: torndown
timestamp: 2025-03-16T18:48:58+00:00
num_battles: 6796
num_wins: 3594
celo_rating: 1298.79
family_friendly_score: 0.41679999999999995
family_friendly_standard_error: 0.006972485353157796
submission_type: basic
model_repo: ChaiML/exp87-dpo-megasfte2-24B-ssdelfilteredv10v11-beta15
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': 0.3706401396423459, 'latency_mean': 2.697973566055298, 'latency_p50': 2.681291937828064, 'latency_p90': 2.98431510925293}, {'batch_size': 2, 'throughput': 0.5805239830245222, 'latency_mean': 3.4303479754924773, 'latency_p50': 3.435829758644104, 'latency_p90': 3.7663328886032104}, {'batch_size': 3, 'throughput': 0.7274396342986519, 'latency_mean': 4.119097464084625, 'latency_p50': 4.160922169685364, 'latency_p90': 4.556856751441956}, {'batch_size': 4, 'throughput': 0.8467829430257642, 'latency_mean': 4.700809680223465, 'latency_p50': 4.725609302520752, 'latency_p90': 5.226653742790222}, {'batch_size': 5, 'throughput': 0.9317499758232405, 'latency_mean': 5.328900724649429, 'latency_p50': 5.36211884021759, 'latency_p90': 5.967135953903198}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: chaiml-exp87-dpo-megasft_7337_v1
is_internal_developer: False
language_model: ChaiML/exp87-dpo-megasfte2-24B-ssdelfilteredv10v11-beta15
model_size: 24B
ranking_group: single
throughput_3p7s: 0.65
us_pacific_date: 2025-03-16
win_ratio: 0.5288404944084756
generation_params: {'temperature': 0.4, 'top_p': 0.96, 'min_p': 0.025, 'top_k': 80, 'presence_penalty': 0.45, 'frequency_penalty': 0.45, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '[INST]<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:[/INST]', 'truncate_by_message': False}
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-exp87-dpo-megasft-7337-v1-mkmlizer
Waiting for job on chaiml-exp87-dpo-megasft-7337-v1-mkmlizer to finish
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: ║ _____ __ __ ║
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chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: ║ /___/ ║
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: ║ ║
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: ║ Version: 0.12.8 ║
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: ║ ║
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: ║ belonging to: ║
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: ║ ║
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: ║ ║
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: Downloaded to shared memory in 82.744s
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmplbxpi5po, device:0
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: quantized model in 52.857s
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: Processed model ChaiML/exp87-dpo-megasfte2-24B-ssdelfilteredv10v11-beta15 in 135.602s
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-exp87-dpo-megasft-7337-v1
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-exp87-dpo-megasft-7337-v1/config.json
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-exp87-dpo-megasft-7337-v1/special_tokens_map.json
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-exp87-dpo-megasft-7337-v1/tokenizer_config.json
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-exp87-dpo-megasft-7337-v1/tokenizer.json
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-exp87-dpo-megasft-7337-v1/flywheel_model.1.safetensors
chaiml-exp87-dpo-megasft-7337-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-exp87-dpo-megasft-7337-v1/flywheel_model.0.safetensors
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Job chaiml-exp87-dpo-megasft-7337-v1-mkmlizer completed after 165.82s with status: succeeded
Stopping job with name chaiml-exp87-dpo-megasft-7337-v1-mkmlizer
Pipeline stage MKMLizer completed in 166.31s
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Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-exp87-dpo-megasft-7337-v1
Waiting for inference service chaiml-exp87-dpo-megasft-7337-v1 to be ready
Failed to get response for submission jellywibble-enzo-mafia-enemy_v14: HTTPConnectionPool(host='jellywibble-enzo-mafia-enemy-v14-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission jellywibble-enzo-mafia-enemy_v14: HTTPConnectionPool(host='jellywibble-enzo-mafia-enemy-v14-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service chaiml-exp87-dpo-megasft-7337-v1 ready after 90.42124462127686s
Pipeline stage MKMLDeployer completed in 90.94s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.60839581489563s
Received healthy response to inference request in 2.633546829223633s
Received healthy response to inference request in 2.5576682090759277s
Received healthy response to inference request in 2.4807913303375244s
Received healthy response to inference request in 2.4509220123291016s
5 requests
0 failed requests
5th percentile: 2.456895875930786
10th percentile: 2.462869739532471
20th percentile: 2.47481746673584
30th percentile: 2.496166706085205
40th percentile: 2.5269174575805664
50th percentile: 2.5576682090759277
60th percentile: 2.5880196571350096
70th percentile: 2.618371105194092
80th percentile: 2.8285166263580326
90th percentile: 3.2184562206268312
95th percentile: 3.41342601776123
99th percentile: 3.56940185546875
mean time: 2.746264839172363
Pipeline stage StressChecker completed in 15.05s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.64s
Shutdown handler de-registered
chaiml-exp87-dpo-megasft_7337_v1 status is now deployed due to DeploymentManager action
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2869.43s
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chaiml-exp87-dpo-megasft_7337_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-exp87-dpo-megasft_7337_v1 status is now torndown due to DeploymentManager action