developer_uid: bogoconic1
submission_id: chaiml-gy-exp141-sft-gy_56223_v1
model_name: chaiml-gy-exp141-sft-gy_56223_v1
model_group: ChaiML/gy-exp141-sft-gy-
status: torndown
timestamp: 2025-07-10T21:15:33+00:00
num_battles: 6684
num_wins: 3187
celo_rating: 1269.67
family_friendly_score: 0.6232
family_friendly_standard_error: 0.0068530542096207
submission_type: basic
model_repo: ChaiML/gy-exp141-sft-gy-datamix-v4-maxlen1024-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': 0.5231618343150022, 'latency_mean': 1.91135338306427, 'latency_p50': 1.9072954654693604, 'latency_p90': 2.127103877067566}, {'batch_size': 3, 'throughput': 1.0443137483107818, 'latency_mean': 2.8579705786705016, 'latency_p50': 2.864450693130493, 'latency_p90': 3.155161213874817}, {'batch_size': 5, 'throughput': 1.3247926178632057, 'latency_mean': 3.7543841993808744, 'latency_p50': 3.758200526237488, 'latency_p90': 4.196884417533874}, {'batch_size': 6, 'throughput': 1.4326569717363824, 'latency_mean': 4.179093508720398, 'latency_p50': 4.181000113487244, 'latency_p90': 4.625795173645019}, {'batch_size': 8, 'throughput': 1.5678585146806365, 'latency_mean': 5.067524144649505, 'latency_p50': 5.058911204338074, 'latency_p90': 5.703705048561096}, {'batch_size': 10, 'throughput': 1.6659327435555213, 'latency_mean': 5.948725982904434, 'latency_p50': 5.86561918258667, 'latency_p90': 6.738625001907349}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-gy-exp141-sft-gy_56223_v1
is_internal_developer: False
language_model: ChaiML/gy-exp141-sft-gy-datamix-v4-maxlen1024-ep2
model_size: 24B
ranking_group: single
throughput_3p7s: 1.32
us_pacific_date: 2025-07-10
win_ratio: 0.4768102932375823
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_end|>', '<|im_start|>', '\n'], '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-exp141-sft-gy-56223-v1-mkmlizer
Waiting for job on chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer to finish
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chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: ║ ║
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: ║ Version: 0.29.15 ║
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: ║ ║
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: ║ belonging to: ║
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: ║ ║
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: ║ ║
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission function_fijeb_2025-05-14: ('http://chaiml-20250611-retune-u-1558-v3-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:59798->127.0.0.1:8080: read: connection reset by peer\n')
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: Downloaded to shared memory in 80.487s
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: Checking if ChaiML/gy-exp141-sft-gy-datamix-v4-maxlen1024-ep2 already exists in ChaiML
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpl7282qyh, device:0
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: quantized model in 48.558s
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: Processed model ChaiML/gy-exp141-sft-gy-datamix-v4-maxlen1024-ep2 in 129.046s
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp141-sft-gy-56223-v1/nvidia
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp141-sft-gy-56223-v1/nvidia/config.json
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp141-sft-gy-56223-v1/nvidia/special_tokens_map.json
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp141-sft-gy-56223-v1/nvidia/tokenizer_config.json
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp141-sft-gy-56223-v1/nvidia/tokenizer.json
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp141-sft-gy-56223-v1/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp141-sft-gy-56223-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer completed after 156.91s with status: succeeded
Stopping job with name chaiml-gy-exp141-sft-gy-56223-v1-mkmlizer
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Pipeline stage MKMLDeployer completed in 191.48s
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Received healthy response to inference request in 2.6004157066345215s
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5th percentile: 1.8524386882781982
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20th percentile: 1.912384271621704
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80th percentile: 2.633624315261841
90th percentile: 2.7000415325164795
95th percentile: 2.733250141143799
99th percentile: 2.759817028045654
mean time: 2.217242622375488
Pipeline stage StressChecker completed in 12.34s
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