developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v47
model_name: junhua024-chai-1-full-066126_v47
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-15T06:03:13+00:00
num_battles: 7626
num_wins: 3607
celo_rating: 1272.63
family_friendly_score: 0.5508
family_friendly_standard_error: 0.007034477379308288
submission_type: basic
model_repo: junhua024/chai-1-full-066126
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': 0.5925765409487529, 'latency_mean': 1.6874392056465148, 'latency_p50': 1.6972531080245972, 'latency_p90': 1.8553165435791015}, {'batch_size': 3, 'throughput': 1.0692512861231447, 'latency_mean': 2.7919820606708527, 'latency_p50': 2.7976802587509155, 'latency_p90': 3.080444312095642}, {'batch_size': 5, 'throughput': 1.2758412919737654, 'latency_mean': 3.894263561964035, 'latency_p50': 3.8880494832992554, 'latency_p90': 4.353156352043151}, {'batch_size': 6, 'throughput': 1.3499008337331435, 'latency_mean': 4.422706196308136, 'latency_p50': 4.420371174812317, 'latency_p90': 4.915717148780822}, {'batch_size': 8, 'throughput': 1.403050523903878, 'latency_mean': 5.660267295837403, 'latency_p50': 5.661459565162659, 'latency_p90': 6.2915054082870485}, {'batch_size': 10, 'throughput': 1.4419050807300633, 'latency_mean': 6.874169591665268, 'latency_p50': 6.892695665359497, 'latency_p90': 7.734352564811706}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v47
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-14
win_ratio: 0.47298714922633095
generation_params: {'temperature': 1.0, 'top_p': 0.87, 'min_p': 0.0, 'top_k': 10, '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 junhua024-chai-1-full-066126-v47-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v47-mkmlizer to finish
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junhua024-chai-1-full-066126-v47-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
junhua024-chai-1-full-066126-v47-mkmlizer: ║ ║
junhua024-chai-1-full-066126-v47-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-1-full-066126-v47-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-1-full-066126-v47-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-1-full-066126-v47-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-1-full-066126-v47-mkmlizer: ║ ║
junhua024-chai-1-full-066126-v47-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-1-full-066126-v47-mkmlizer: ║ belonging to: ║
junhua024-chai-1-full-066126-v47-mkmlizer: ║ ║
junhua024-chai-1-full-066126-v47-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-1-full-066126-v47-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-1-full-066126-v47-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-1-full-066126-v47-mkmlizer: ║ ║
junhua024-chai-1-full-066126-v47-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v47-mkmlizer: Downloaded to shared memory in 84.743s
junhua024-chai-1-full-066126-v47-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v47-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpcepgpvf_, device:0
junhua024-chai-1-full-066126-v47-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v47-mkmlizer: quantized model in 31.982s
junhua024-chai-1-full-066126-v47-mkmlizer: Processed model junhua024/chai-1-full-066126 in 116.843s
junhua024-chai-1-full-066126-v47-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v47-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v47-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v47/nvidia
junhua024-chai-1-full-066126-v47-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v47/nvidia/config.json
junhua024-chai-1-full-066126-v47-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v47/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v47-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v47/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v47-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v47/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-066126-v47-mkmlizer completed after 138.11s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v47-mkmlizer
Pipeline stage MKMLizer completed in 138.69s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
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Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v47
Waiting for inference service junhua024-chai-1-full-066126-v47 to be ready
Inference service junhua024-chai-1-full-066126-v47 ready after 241.25834584236145s
Pipeline stage MKMLDeployer completed in 241.83s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7312755584716797s
Received healthy response to inference request in 1.5227129459381104s
Received healthy response to inference request in 1.5136909484863281s
Received healthy response to inference request in 2.1827220916748047s
Received healthy response to inference request in 1.5607314109802246s
5 requests
0 failed requests
5th percentile: 1.5154953479766846
10th percentile: 1.517299747467041
20th percentile: 1.5209085464477539
30th percentile: 1.5303166389465332
40th percentile: 1.5455240249633788
50th percentile: 1.5607314109802246
60th percentile: 1.8095276832580565
70th percentile: 2.0583239555358888
80th percentile: 2.2924327850341797
90th percentile: 2.5118541717529297
95th percentile: 2.6215648651123047
99th percentile: 2.7093334197998047
mean time: 1.9022265911102294
Pipeline stage StressChecker completed in 11.11s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.76s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.76s
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Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
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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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4421.27s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v47 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v47 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v47 status is now torndown due to DeploymentManager action