chaiml-gy-exp88-dpo-exp_49090

developer_uid: bogoconic1
submission_id: chaiml-gy-exp88-dpo-exp_49090_v1
model_name: chaiml-gy-exp88-dpo-exp_49090_v1
model_group: ChaiML/gy-exp88-dpo-exp8
status: torndown
timestamp: 2025-07-05T08:35:56+00:00
num_battles: 7911
num_wins: 4339
celo_rating: 1322.65
family_friendly_score: 0.46540000000000004
family_friendly_standard_error: 0.007054117095710844
submission_type: basic
model_repo: ChaiML/gy-exp88-dpo-exp86ep8s2-exp72data-ep1
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.5238926588120756, 'latency_mean': 1.9086634504795075, 'latency_p50': 1.9026480913162231, 'latency_p90': 2.127632761001587}, {'batch_size': 3, 'throughput': 1.0411630414813104, 'latency_mean': 2.874837497472763, 'latency_p50': 2.877591371536255, 'latency_p90': 3.1576417207717897}, {'batch_size': 5, 'throughput': 1.3169912241174169, 'latency_mean': 3.776328412294388, 'latency_p50': 3.7673280239105225, 'latency_p90': 4.326030898094177}, {'batch_size': 6, 'throughput': 1.4149083146746546, 'latency_mean': 4.2046766173839565, 'latency_p50': 4.227995753288269, 'latency_p90': 4.786569547653198}, {'batch_size': 8, 'throughput': 1.5378220694815161, 'latency_mean': 5.165185594558716, 'latency_p50': 5.19384491443634, 'latency_p90': 5.9203937292099}, {'batch_size': 10, 'throughput': 1.6356501271163686, 'latency_mean': 6.066563376188278, 'latency_p50': 6.098077297210693, 'latency_p90': 6.849927401542663}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-gy-exp88-dpo-exp_49090_v1
is_internal_developer: True
language_model: ChaiML/gy-exp88-dpo-exp86ep8s2-exp72data-ep1
model_size: 24B
ranking_group: single
throughput_3p7s: 1.31
us_pacific_date: 2025-07-05
win_ratio: 0.5484768044495006
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-exp88-dpo-exp-49090-v1-mkmlizer
Waiting for job on chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer to finish
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║                                                                     ║
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chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: Traceback (most recent call last):
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 423, in http_get
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:     hf_transfer.download(
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: Exception: Failed too many failures in parallel (3): PyErr { type: <class 'Exception'>, value: Exception('Error while downloading: reqwest::Error { kind: Body, source: hyper::Error(Body, Os { code: 104, kind: ConnectionReset, message: "Connection reset by peer" }) }'), traceback: None } (NoPermits)
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: The above exception was the direct cause of the following exception:
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: Traceback (most recent call last):
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 225, in <module>
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:     cli()
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:     return self.main(*args, **kwargs)
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:     rv = self.invoke(ctx)
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:     return _process_result(sub_ctx.command.invoke(sub_ctx))
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:     return ctx.invoke(self.callback, **ctx.params)
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:     return __callback(*args, **kwargs)
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 41, in quantize
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:     temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 91, in download_to_shared_memory
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:     snapshot_download(
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:     return fn(*args, **kwargs)
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 294, in snapshot_download
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:     _inner_hf_hub_download(file)
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 270, in _inner_hf_hub_download
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:     return hf_hub_download(
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:     return fn(*args, **kwargs)
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 941, in hf_hub_download
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:     return _hf_hub_download_to_local_dir(
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1241, in _hf_hub_download_to_local_dir
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:     _download_to_tmp_and_move(
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1675, in _download_to_tmp_and_move
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:     http_get(
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 434, in http_get
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer:     raise RuntimeError(
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: RuntimeError: An error occurred while downloading using `hf_transfer`. Consider disabling HF_HUB_ENABLE_HF_TRANSFER for better error handling.
Job chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer completed after 363.23s with status: failed
Stopping job with name chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer
Waiting for job on chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer to finish
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║                                                                     ║
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chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: Downloaded to shared memory in 66.862s
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: Checking if ChaiML/gy-exp88-dpo-exp86ep8s2-exp72data-ep1 already exists in ChaiML
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpk9m425f_, device:0
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: quantized model in 47.140s
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: Processed model ChaiML/gy-exp88-dpo-exp86ep8s2-exp72data-ep1 in 114.003s
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v1/nvidia
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v1/nvidia/config.json
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v1/nvidia/special_tokens_map.json
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v1/nvidia/tokenizer_config.json
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v1/nvidia/tokenizer.json
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v1/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer completed after 147.25s with status: succeeded
Stopping job with name chaiml-gy-exp88-dpo-exp-49090-v1-mkmlizer
Pipeline stage MKMLizer completed in 511.53s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.44s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-gy-exp88-dpo-exp-49090-v1
Waiting for inference service chaiml-gy-exp88-dpo-exp-49090-v1 to be ready
Unable to record family friendly update due to error: Invalid JSON input: Expecting ',' delimiter: line 1 column 54 (char 53)
Inference service chaiml-gy-exp88-dpo-exp-49090-v1 ready after 230.87573766708374s
Pipeline stage MKMLDeployer completed in 231.51s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.8494575023651123s
Received healthy response to inference request in 2.092249870300293s
Received healthy response to inference request in 2.395312786102295s
Received healthy response to inference request in 1.8924639225006104s
Received healthy response to inference request in 2.0122597217559814s
5 requests
0 failed requests
5th percentile: 1.9164230823516846
10th percentile: 1.9403822422027588
20th percentile: 1.9883005619049072
30th percentile: 2.0282577514648437
40th percentile: 2.0602538108825685
50th percentile: 2.092249870300293
60th percentile: 2.2134750366210936
70th percentile: 2.3347002029418946
80th percentile: 2.4861417293548587
90th percentile: 2.6677996158599853
95th percentile: 2.7586285591125486
99th percentile: 2.8312917137145996
mean time: 2.248348760604858
Pipeline stage StressChecker completed in 13.48s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.76s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.70s
Shutdown handler de-registered
chaiml-gy-exp88-dpo-exp_49090_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3236.82s
Shutdown handler de-registered
chaiml-gy-exp88-dpo-exp_49090_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-gy-exp88-dpo-exp_49090_v1 status is now torndown due to DeploymentManager action