developer_uid: zmeeks
submission_id: zmeeks-capitancito_v4
model_name: zcito-1333-095_k7
model_group: zmeeks/capitancito
status: torndown
timestamp: 2025-06-29T20:58:06+00:00
num_battles: 6913
num_wins: 3525
celo_rating: 1272.98
family_friendly_score: 0.5654
family_friendly_standard_error: 0.007010318680345424
submission_type: basic
model_repo: zmeeks/capitancito
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': 0.6024224349197153, 'latency_mean': 1.659858615398407, 'latency_p50': 1.6565731763839722, 'latency_p90': 1.8271383762359619}, {'batch_size': 3, 'throughput': 1.0859441091744402, 'latency_mean': 2.7590261256694792, 'latency_p50': 2.769870162010193, 'latency_p90': 2.9965566635131835}, {'batch_size': 5, 'throughput': 1.3052310567725194, 'latency_mean': 3.822094962596893, 'latency_p50': 3.833714008331299, 'latency_p90': 4.223704624176025}, {'batch_size': 6, 'throughput': 1.3746192735855416, 'latency_mean': 4.342652136087418, 'latency_p50': 4.379481554031372, 'latency_p90': 4.818317222595215}, {'batch_size': 8, 'throughput': 1.4451090445934047, 'latency_mean': 5.50106270313263, 'latency_p50': 5.512760519981384, 'latency_p90': 6.170379662513732}, {'batch_size': 10, 'throughput': 1.4623511572180883, 'latency_mean': 6.7699590373039245, 'latency_p50': 6.791336894035339, 'latency_p90': 7.502302765846252}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: zcito-1333-095_k7
is_internal_developer: False
language_model: zmeeks/capitancito
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-06-29
win_ratio: 0.509908867351367
generation_params: {'temperature': 1.333, 'top_p': 0.95, 'min_p': 0.0, 'top_k': 7, '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-capitancito-v4-mkmlizer
Waiting for job on zmeeks-capitancito-v4-mkmlizer to finish
zmeeks-capitancito-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zmeeks-capitancito-v4-mkmlizer: ║ ║
zmeeks-capitancito-v4-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
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zmeeks-capitancito-v4-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
zmeeks-capitancito-v4-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
zmeeks-capitancito-v4-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
zmeeks-capitancito-v4-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
zmeeks-capitancito-v4-mkmlizer: ║ ║
zmeeks-capitancito-v4-mkmlizer: ║ Version: 0.29.3 ║
zmeeks-capitancito-v4-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
zmeeks-capitancito-v4-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
zmeeks-capitancito-v4-mkmlizer: ║ https://mk1.ai ║
zmeeks-capitancito-v4-mkmlizer: ║ ║
zmeeks-capitancito-v4-mkmlizer: ║ The license key for the current software has been verified as ║
zmeeks-capitancito-v4-mkmlizer: ║ belonging to: ║
zmeeks-capitancito-v4-mkmlizer: ║ ║
zmeeks-capitancito-v4-mkmlizer: ║ Chai Research Corp. ║
zmeeks-capitancito-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zmeeks-capitancito-v4-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
zmeeks-capitancito-v4-mkmlizer: ║ ║
zmeeks-capitancito-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitancito-v4-mkmlizer: Traceback (most recent call last):
zmeeks-capitancito-v4-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 423, in http_get
zmeeks-capitancito-v4-mkmlizer: hf_transfer.download(
zmeeks-capitancito-v4-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)
zmeeks-capitancito-v4-mkmlizer: The above exception was the direct cause of the following exception:
zmeeks-capitancito-v4-mkmlizer: Traceback (most recent call last):
zmeeks-capitancito-v4-mkmlizer: File "/code/uploading/mkmlize.py", line 225, in <module>
zmeeks-capitancito-v4-mkmlizer: cli()
zmeeks-capitancito-v4-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
zmeeks-capitancito-v4-mkmlizer: return self.main(*args, **kwargs)
zmeeks-capitancito-v4-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
zmeeks-capitancito-v4-mkmlizer: rv = self.invoke(ctx)
zmeeks-capitancito-v4-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
zmeeks-capitancito-v4-mkmlizer: return _process_result(sub_ctx.command.invoke(sub_ctx))
zmeeks-capitancito-v4-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
zmeeks-capitancito-v4-mkmlizer: return ctx.invoke(self.callback, **ctx.params)
zmeeks-capitancito-v4-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
zmeeks-capitancito-v4-mkmlizer: return __callback(*args, **kwargs)
zmeeks-capitancito-v4-mkmlizer: File "/code/uploading/mkmlize.py", line 41, in quantize
zmeeks-capitancito-v4-mkmlizer: temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
zmeeks-capitancito-v4-mkmlizer: File "/code/uploading/mkmlize.py", line 91, in download_to_shared_memory
zmeeks-capitancito-v4-mkmlizer: snapshot_download(
zmeeks-capitancito-v4-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
zmeeks-capitancito-v4-mkmlizer: return fn(*args, **kwargs)
zmeeks-capitancito-v4-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 294, in snapshot_download
zmeeks-capitancito-v4-mkmlizer: _inner_hf_hub_download(file)
zmeeks-capitancito-v4-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 270, in _inner_hf_hub_download
zmeeks-capitancito-v4-mkmlizer: return hf_hub_download(
zmeeks-capitancito-v4-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
zmeeks-capitancito-v4-mkmlizer: return fn(*args, **kwargs)
zmeeks-capitancito-v4-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 941, in hf_hub_download
zmeeks-capitancito-v4-mkmlizer: return _hf_hub_download_to_local_dir(
zmeeks-capitancito-v4-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1241, in _hf_hub_download_to_local_dir
zmeeks-capitancito-v4-mkmlizer: _download_to_tmp_and_move(
zmeeks-capitancito-v4-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1675, in _download_to_tmp_and_move
zmeeks-capitancito-v4-mkmlizer: http_get(
zmeeks-capitancito-v4-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 434, in http_get
zmeeks-capitancito-v4-mkmlizer: raise RuntimeError(
zmeeks-capitancito-v4-mkmlizer: RuntimeError: An error occurred while downloading using `hf_transfer`. Consider disabling HF_HUB_ENABLE_HF_TRANSFER for better error handling.
Job zmeeks-capitancito-v4-mkmlizer completed after 354.75s with status: failed
Stopping job with name zmeeks-capitancito-v4-mkmlizer
%s, retrying in %s seconds...
Starting job with name zmeeks-capitancito-v4-mkmlizer
Waiting for job on zmeeks-capitancito-v4-mkmlizer to finish
zmeeks-capitancito-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zmeeks-capitancito-v4-mkmlizer: ║ ║
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zmeeks-capitancito-v4-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
zmeeks-capitancito-v4-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
zmeeks-capitancito-v4-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
zmeeks-capitancito-v4-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
zmeeks-capitancito-v4-mkmlizer: ║ ║
zmeeks-capitancito-v4-mkmlizer: ║ Version: 0.29.3 ║
zmeeks-capitancito-v4-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
zmeeks-capitancito-v4-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
zmeeks-capitancito-v4-mkmlizer: ║ https://mk1.ai ║
zmeeks-capitancito-v4-mkmlizer: ║ ║
zmeeks-capitancito-v4-mkmlizer: ║ The license key for the current software has been verified as ║
zmeeks-capitancito-v4-mkmlizer: ║ belonging to: ║
zmeeks-capitancito-v4-mkmlizer: ║ ║
zmeeks-capitancito-v4-mkmlizer: ║ Chai Research Corp. ║
zmeeks-capitancito-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zmeeks-capitancito-v4-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
zmeeks-capitancito-v4-mkmlizer: ║ ║
zmeeks-capitancito-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zmeeks-capitancito-v4-mkmlizer: Downloaded to shared memory in 30.373s
zmeeks-capitancito-v4-mkmlizer: Checking if zmeeks/capitancito already exists in ChaiML
zmeeks-capitancito-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpjzqv1_ak, device:0
zmeeks-capitancito-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zmeeks-capitancito-v4-mkmlizer: quantized model in 30.284s
zmeeks-capitancito-v4-mkmlizer: Processed model zmeeks/capitancito in 60.840s
zmeeks-capitancito-v4-mkmlizer: creating bucket guanaco-mkml-models
zmeeks-capitancito-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zmeeks-capitancito-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zmeeks-capitancito-v4
zmeeks-capitancito-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zmeeks-capitancito-v4/config.json
zmeeks-capitancito-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zmeeks-capitancito-v4/special_tokens_map.json
zmeeks-capitancito-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zmeeks-capitancito-v4/tokenizer_config.json
zmeeks-capitancito-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zmeeks-capitancito-v4/tokenizer.json
zmeeks-capitancito-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zmeeks-capitancito-v4/flywheel_model.0.safetensors
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Job zmeeks-capitancito-v4-mkmlizer completed after 85.37s with status: succeeded
Stopping job with name zmeeks-capitancito-v4-mkmlizer
Pipeline stage MKMLizer completed in 441.27s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service zmeeks-capitancito-v4
Waiting for inference service zmeeks-capitancito-v4 to be ready
Inference service zmeeks-capitancito-v4 ready after 200.75133204460144s
Pipeline stage MKMLDeployer completed in 201.65s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1985318660736084s
Received healthy response to inference request in 2.069404125213623s
Received healthy response to inference request in 2.0128040313720703s
Received healthy response to inference request in 1.7447214126586914s
Received healthy response to inference request in 1.9942433834075928s
5 requests
0 failed requests
5th percentile: 1.7946258068084717
10th percentile: 1.844530200958252
20th percentile: 1.9443389892578125
30th percentile: 1.9979555130004882
40th percentile: 2.0053797721862794
50th percentile: 2.0128040313720703
60th percentile: 2.0354440689086912
70th percentile: 2.0580841064453126
80th percentile: 2.09522967338562
90th percentile: 2.146880769729614
95th percentile: 2.1727063179016115
99th percentile: 2.193366756439209
mean time: 2.003940963745117
Pipeline stage StressChecker completed in 11.94s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.74s
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Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 1.03s
Shutdown handler de-registered
zmeeks-capitancito_v4 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.13s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service zmeeks-capitancito-v4-profiler
Waiting for inference service zmeeks-capitancito-v4-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 5675.31s
Shutdown handler de-registered
zmeeks-capitancito_v4 status is now inactive due to auto deactivation removed underperforming models
zmeeks-capitancito_v4 status is now torndown due to DeploymentManager action