developer_uid: zmeeks
submission_id: zmeeks-capitanito-45-e1_v1
model_name: capitanito_t10__45-e1__ppmmp
model_group: zmeeks/capitanito__45-e1
status: torndown
timestamp: 2025-07-15T08:24:56+00:00
num_battles: 8459
num_wins: 3951
celo_rating: 1250.83
family_friendly_score: 0.579
family_friendly_standard_error: 0.006982248921371967
submission_type: basic
model_repo: zmeeks/capitanito__45-e1
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5914691306772676, 'latency_mean': 1.6905819129943849, 'latency_p50': 1.6904349327087402, 'latency_p90': 1.8644375324249267}, {'batch_size': 3, 'throughput': 1.0892596321313277, 'latency_mean': 2.7455530738830567, 'latency_p50': 2.730584144592285, 'latency_p90': 3.017045021057129}, {'batch_size': 5, 'throughput': 1.2984100321385352, 'latency_mean': 3.8359947073459626, 'latency_p50': 3.8546279668807983, 'latency_p90': 4.170655274391175}, {'batch_size': 6, 'throughput': 1.3644299292648847, 'latency_mean': 4.372064273357392, 'latency_p50': 4.38145637512207, 'latency_p90': 4.921594095230103}, {'batch_size': 8, 'throughput': 1.4205929565535447, 'latency_mean': 5.58871954202652, 'latency_p50': 5.630160450935364, 'latency_p90': 6.245536184310913}, {'batch_size': 10, 'throughput': 1.4606084772175365, 'latency_mean': 6.785081981420517, 'latency_p50': 6.779773473739624, 'latency_p90': 7.618323826789855}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: capitanito_t10__45-e1__ppmmp
is_internal_developer: False
language_model: zmeeks/capitanito__45-e1
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-15
win_ratio: 0.46707648658233836
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 25, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', '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 zmeeks-capitanito-45-e1-v1-mkmlizer
Waiting for job on zmeeks-capitanito-45-e1-v1-mkmlizer to finish
zmeeks-capitanito-45-e1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
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zmeeks-capitanito-45-e1-v1-mkmlizer: ║ ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ Version: 0.29.15 ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ https://mk1.ai ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ belonging to: ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ Chai Research Corp. ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-45-e1-v1-mkmlizer: Traceback (most recent call last):
zmeeks-capitanito-45-e1-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 409, in hf_raise_for_status
zmeeks-capitanito-45-e1-v1-mkmlizer: response.raise_for_status()
zmeeks-capitanito-45-e1-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/models.py", line 1026, in raise_for_status
zmeeks-capitanito-45-e1-v1-mkmlizer: raise HTTPError(http_error_msg, response=self)
zmeeks-capitanito-45-e1-v1-mkmlizer: requests.exceptions.HTTPError: 504 Server Error: Gateway Timeout for url: https://huggingface.co/api/models/zmeeks/capitanito__45-e1/paths-info/main
zmeeks-capitanito-45-e1-v1-mkmlizer: The above exception was the direct cause of the following exception:
zmeeks-capitanito-45-e1-v1-mkmlizer: Traceback (most recent call last):
zmeeks-capitanito-45-e1-v1-mkmlizer: File "/code/uploading/mkmlize.py", line 225, in <module>
zmeeks-capitanito-45-e1-v1-mkmlizer: cli()
zmeeks-capitanito-45-e1-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
zmeeks-capitanito-45-e1-v1-mkmlizer: return self.main(*args, **kwargs)
zmeeks-capitanito-45-e1-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
zmeeks-capitanito-45-e1-v1-mkmlizer: rv = self.invoke(ctx)
zmeeks-capitanito-45-e1-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
zmeeks-capitanito-45-e1-v1-mkmlizer: return _process_result(sub_ctx.command.invoke(sub_ctx))
zmeeks-capitanito-45-e1-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
zmeeks-capitanito-45-e1-v1-mkmlizer: return ctx.invoke(self.callback, **ctx.params)
zmeeks-capitanito-45-e1-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
zmeeks-capitanito-45-e1-v1-mkmlizer: return __callback(*args, **kwargs)
zmeeks-capitanito-45-e1-v1-mkmlizer: File "/code/uploading/mkmlize.py", line 41, in quantize
zmeeks-capitanito-45-e1-v1-mkmlizer: temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
zmeeks-capitanito-45-e1-v1-mkmlizer: File "/code/uploading/mkmlize.py", line 86, in download_to_shared_memory
zmeeks-capitanito-45-e1-v1-mkmlizer: if repo_has_model_safetensors(repo_id, revision, token):
zmeeks-capitanito-45-e1-v1-mkmlizer: File "/code/uploading/mkmlize.py", line 109, in repo_has_model_safetensors
zmeeks-capitanito-45-e1-v1-mkmlizer: files = [f.path for f in get_paths_info(repo_id, revision=revision, paths=["/"], token=token)]
zmeeks-capitanito-45-e1-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
zmeeks-capitanito-45-e1-v1-mkmlizer: return fn(*args, **kwargs)
zmeeks-capitanito-45-e1-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/hf_api.py", line 3362, in get_paths_info
zmeeks-capitanito-45-e1-v1-mkmlizer: hf_raise_for_status(response)
zmeeks-capitanito-45-e1-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 482, in hf_raise_for_status
zmeeks-capitanito-45-e1-v1-mkmlizer: raise _format(HfHubHTTPError, str(e), response) from e
zmeeks-capitanito-45-e1-v1-mkmlizer: huggingface_hub.errors.HfHubHTTPError: 504 Server Error: Gateway Timeout for url: https://huggingface.co/api/models/zmeeks/capitanito__45-e1/paths-info/main (Request ID: Root=1-68761061-6560172914144add2ef53599;5eb28b36-599c-4020-8a21-af029a2630f5)
zmeeks-capitanito-45-e1-v1-mkmlizer: The request is taking longer than expected, please try again later.
Job zmeeks-capitanito-45-e1-v1-mkmlizer completed after 24.44s with status: failed
Stopping job with name zmeeks-capitanito-45-e1-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name zmeeks-capitanito-45-e1-v1-mkmlizer
Waiting for job on zmeeks-capitanito-45-e1-v1-mkmlizer to finish
zmeeks-capitanito-45-e1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ ║
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zmeeks-capitanito-45-e1-v1-mkmlizer: ║ ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ Version: 0.29.15 ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ https://mk1.ai ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ belonging to: ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ Chai Research Corp. ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ║ ║
zmeeks-capitanito-45-e1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitanito-45-e1-v1-mkmlizer: Downloaded to shared memory in 38.493s
zmeeks-capitanito-45-e1-v1-mkmlizer: Checking if zmeeks/capitanito__45-e1 already exists in ChaiML
zmeeks-capitanito-45-e1-v1-mkmlizer: Creating repo ChaiML/capitanito__45-e1 and uploading /tmp/tmpwlia0uau to it
zmeeks-capitanito-45-e1-v1-mkmlizer: 0%| | 0/6 [00:00<?, ?it/s] 17%|█▋ | 1/6 [00:03<00:18, 3.61s/it] 33%|███▎ | 2/6 [00:07<00:14, 3.62s/it] 50%|█████ | 3/6 [00:12<00:12, 4.15s/it] 67%|██████▋ | 4/6 [00:15<00:08, 4.01s/it] 83%|████████▎ | 5/6 [00:20<00:04, 4.19s/it] 100%|██████████| 6/6 [00:21<00:00, 3.19s/it] 100%|██████████| 6/6 [00:21<00:00, 3.60s/it]
zmeeks-capitanito-45-e1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwlia0uau, device:0
zmeeks-capitanito-45-e1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Unable to record family friendly update due to error: Invalid JSON input: JSON must contain 'User Safety' and 'Response Safety' fields
zmeeks-capitanito-45-e1-v1-mkmlizer: quantized model in 30.629s
zmeeks-capitanito-45-e1-v1-mkmlizer: Processed model zmeeks/capitanito__45-e1 in 116.419s
zmeeks-capitanito-45-e1-v1-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitanito-45-e1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitanito-45-e1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitanito-45-e1-v1/nvidia
zmeeks-capitanito-45-e1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitanito-45-e1-v1/nvidia/config.json
zmeeks-capitanito-45-e1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitanito-45-e1-v1/nvidia/special_tokens_map.json
zmeeks-capitanito-45-e1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitanito-45-e1-v1/nvidia/tokenizer_config.json
zmeeks-capitanito-45-e1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitanito-45-e1-v1/nvidia/tokenizer.json
Unable to record family friendly update due to error: HTTPConnectionPool(host='chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x7f7b986da010>, 'Connection to chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com timed out. (connect timeout=12.0)'))
zmeeks-capitanito-45-e1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitanito-45-e1-v1/nvidia/flywheel_model.0.safetensors
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Job zmeeks-capitanito-45-e1-v1-mkmlizer completed after 137.91s with status: succeeded
Stopping job with name zmeeks-capitanito-45-e1-v1-mkmlizer
Pipeline stage MKMLizer completed in 163.20s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service zmeeks-capitanito-45-e1-v1
Waiting for inference service zmeeks-capitanito-45-e1-v1 to be ready
Inference service zmeeks-capitanito-45-e1-v1 ready after 382.3659703731537s
Pipeline stage MKMLDeployer completed in 382.83s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.3089077472686768s
Received healthy response to inference request in 1.8062100410461426s
Received healthy response to inference request in 1.7551331520080566s
Received healthy response to inference request in 1.790710210800171s
5 requests
1 failed requests
5th percentile: 1.7622485637664795
10th percentile: 1.7693639755249024
20th percentile: 1.783594799041748
30th percentile: 1.7938101768493653
40th percentile: 1.8000101089477538
50th percentile: 1.8062100410461426
60th percentile: 2.0072891235351564
70th percentile: 2.20836820602417
80th percentile: 5.882885646820071
90th percentile: 13.030841445922853
95th percentile: 16.60481934547424
99th percentile: 19.464001665115354
mean time: 5.567951679229736
%s, retrying in %s seconds...
Received healthy response to inference request in 1.6077520847320557s
Received healthy response to inference request in 1.6550097465515137s
Received healthy response to inference request in 1.6470515727996826s
Received healthy response to inference request in 1.3801071643829346s
Received healthy response to inference request in 1.261911392211914s
5 requests
0 failed requests
5th percentile: 1.2855505466461181
10th percentile: 1.3091897010803222
20th percentile: 1.3564680099487305
30th percentile: 1.4256361484527589
40th percentile: 1.5166941165924073
50th percentile: 1.6077520847320557
60th percentile: 1.6234718799591064
70th percentile: 1.6391916751861573
80th percentile: 1.6486432075500488
90th percentile: 1.6518264770507813
95th percentile: 1.6534181118011475
99th percentile: 1.6546914196014404
mean time: 1.51036639213562
Pipeline stage StressChecker completed in 38.71s
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 0.81s
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 0.67s
Shutdown handler de-registered
zmeeks-capitanito-45-e1_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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5371.62s
Shutdown handler de-registered
zmeeks-capitanito-45-e1_v1 status is now inactive due to auto deactivation removed underperforming models
zmeeks-capitanito-45-e1_v1 status is now torndown due to DeploymentManager action
zmeeks-capitanito-45-e1_v1 status is now torndown due to DeploymentManager action