chaiml-gy-exp84-simpo-e_66452

developer_uid: bogoconic1
submission_id: chaiml-gy-exp84-simpo-e_66452_v1
model_name: chaiml-gy-exp84-simpo-e_66452_v1
model_group: ChaiML/gy-exp84-simpo-ex
status: torndown
timestamp: 2025-07-04T19:54:18+00:00
num_battles: 8891
num_wins: 4679
celo_rating: 1303.18
family_friendly_score: 0.44520000000000004
family_friendly_standard_error: 0.007028470103799262
submission_type: basic
model_repo: ChaiML/gy-exp84-simpo-exp32ep8s2-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': 0.5247226943819484, 'latency_mean': 1.905644689798355, 'latency_p50': 1.8955355882644653, 'latency_p90': 2.1241901636123655}, {'batch_size': 3, 'throughput': 1.046229408137129, 'latency_mean': 2.858646352291107, 'latency_p50': 2.869648575782776, 'latency_p90': 3.1239858150482176}, {'batch_size': 5, 'throughput': 1.3503182645571554, 'latency_mean': 3.685913704633713, 'latency_p50': 3.693418264389038, 'latency_p90': 4.164637422561645}, {'batch_size': 6, 'throughput': 1.4481870014611162, 'latency_mean': 4.119866052865982, 'latency_p50': 4.120891094207764, 'latency_p90': 4.6415469408035275}, {'batch_size': 8, 'throughput': 1.5973897663817125, 'latency_mean': 4.974691857099533, 'latency_p50': 4.93061900138855, 'latency_p90': 5.6014286279678345}, {'batch_size': 10, 'throughput': 1.6731761526195768, 'latency_mean': 5.922413920164108, 'latency_p50': 5.8878480195999146, 'latency_p90': 6.664069986343383}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-gy-exp84-simpo-e_66452_v1
is_internal_developer: True
language_model: ChaiML/gy-exp84-simpo-exp32ep8s2-exp72data-ep1
model_size: 24B
ranking_group: single
throughput_3p7s: 1.36
us_pacific_date: 2025-07-04
win_ratio: 0.5262625126532449
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|>', '\n', '<|im_start|>'], '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-exp84-simpo-e-66452-v1-mkmlizer
Waiting for job on chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer to finish
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║                                                                     ║
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chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: Traceback (most recent call last):
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 423, in http_get
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:     hf_transfer.download(
chaiml-gy-exp84-simpo-e-66452-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-exp84-simpo-e-66452-v1-mkmlizer: The above exception was the direct cause of the following exception:
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: Traceback (most recent call last):
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 225, in <module>
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:     cli()
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:     return self.main(*args, **kwargs)
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:     rv = self.invoke(ctx)
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:     return _process_result(sub_ctx.command.invoke(sub_ctx))
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:     return ctx.invoke(self.callback, **ctx.params)
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:     return __callback(*args, **kwargs)
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 41, in quantize
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:     temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 91, in download_to_shared_memory
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:     snapshot_download(
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:     return fn(*args, **kwargs)
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 294, in snapshot_download
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:     _inner_hf_hub_download(file)
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 270, in _inner_hf_hub_download
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:     return hf_hub_download(
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:     return fn(*args, **kwargs)
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 941, in hf_hub_download
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:     return _hf_hub_download_to_local_dir(
chaiml-gy-exp84-simpo-e-66452-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-exp84-simpo-e-66452-v1-mkmlizer:     _download_to_tmp_and_move(
chaiml-gy-exp84-simpo-e-66452-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-exp84-simpo-e-66452-v1-mkmlizer:     http_get(
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 434, in http_get
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer:     raise RuntimeError(
chaiml-gy-exp84-simpo-e-66452-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-exp84-simpo-e-66452-v1-mkmlizer completed after 639.36s with status: failed
Stopping job with name chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer
Waiting for job on chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer to finish
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chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║                                                                     ║
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chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: Downloaded to shared memory in 194.681s
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: Checking if ChaiML/gy-exp84-simpo-exp32ep8s2-exp72data-ep1 already exists in ChaiML
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpu6dtzyih, device:0
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: quantized model in 47.376s
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: Processed model ChaiML/gy-exp84-simpo-exp32ep8s2-exp72data-ep1 in 242.057s
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp84-simpo-e-66452-v1/nvidia
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp84-simpo-e-66452-v1/nvidia/config.json
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp84-simpo-e-66452-v1/nvidia/special_tokens_map.json
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp84-simpo-e-66452-v1/nvidia/tokenizer_config.json
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp84-simpo-e-66452-v1/nvidia/tokenizer.json
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp84-simpo-e-66452-v1/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp84-simpo-e-66452-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer completed after 270.57s with status: succeeded
Stopping job with name chaiml-gy-exp84-simpo-e-66452-v1-mkmlizer
Pipeline stage MKMLizer completed in 911.84s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-gy-exp84-simpo-e-66452-v1
Waiting for inference service chaiml-gy-exp84-simpo-e-66452-v1 to be ready
Inference service chaiml-gy-exp84-simpo-e-66452-v1 ready after 220.7992763519287s
Pipeline stage MKMLDeployer completed in 221.34s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.921207904815674s
Received healthy response to inference request in 2.109917163848877s
Received healthy response to inference request in 2.1785929203033447s
Received healthy response to inference request in 2.055135726928711s
Received healthy response to inference request in 1.9329161643981934s
5 requests
0 failed requests
5th percentile: 1.957360076904297
10th percentile: 1.9818039894104005
20th percentile: 2.0306918144226076
30th percentile: 2.066092014312744
40th percentile: 2.0880045890808105
50th percentile: 2.109917163848877
60th percentile: 2.1373874664306642
70th percentile: 2.164857769012451
80th percentile: 2.327115917205811
90th percentile: 2.6241619110107424
95th percentile: 2.7726849079132077
99th percentile: 2.8915033054351804
mean time: 2.23955397605896
Pipeline stage StressChecker completed in 12.63s
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 0.93s
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 0.66s
Shutdown handler de-registered
chaiml-gy-exp84-simpo-e_66452_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-gy-exp84-simpo-e-66452-v1-profiler
Waiting for inference service chaiml-gy-exp84-simpo-e-66452-v1-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5544.83s
Shutdown handler de-registered
chaiml-gy-exp84-simpo-e_66452_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-gy-exp84-simpo-e_66452_v1 status is now torndown due to DeploymentManager action