developer_uid: junhua024
submission_id: junhua024-chai-02-full-02-016_v1
model_name: junhua024-chai-02-full-02-016_v1
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-23T11:51:09+00:00
num_battles: 5599
num_wins: 2682
celo_rating: 1260.4
family_friendly_score: 0.5566
family_friendly_standard_error: 0.007025616556573523
submission_type: basic
model_repo: junhua024/chai_02_full_02_016
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': 0.6685586658558013, 'latency_mean': 1.4955923140048981, 'latency_p50': 1.4971094131469727, 'latency_p90': 1.645542526245117}, {'batch_size': 3, 'throughput': 1.147164716648281, 'latency_mean': 2.606535838842392, 'latency_p50': 2.593371629714966, 'latency_p90': 2.8656750202178953}, {'batch_size': 5, 'throughput': 1.329654375960166, 'latency_mean': 3.753904378414154, 'latency_p50': 3.773367762565613, 'latency_p90': 4.2288648128509525}, {'batch_size': 6, 'throughput': 1.3720250685028077, 'latency_mean': 4.355568635463714, 'latency_p50': 4.3585182428359985, 'latency_p90': 4.9520827531814575}, {'batch_size': 8, 'throughput': 1.4261432966153043, 'latency_mean': 5.56728736281395, 'latency_p50': 5.630067825317383, 'latency_p90': 6.203009390830994}, {'batch_size': 10, 'throughput': 1.4643004430092004, 'latency_mean': 6.765212960243225, 'latency_p50': 6.766814351081848, 'latency_p90': 7.5711822509765625}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-02-016_v1
is_internal_developer: False
language_model: junhua024/chai_02_full_02_016
model_size: 13B
ranking_group: single
throughput_3p7s: 1.33
us_pacific_date: 2025-07-23
win_ratio: 0.47901410966243974
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.1, '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-02-full-02-016-v1-mkmlizer
Waiting for job on junhua024-chai-02-full-02-016-v1-mkmlizer to finish
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junhua024-chai-02-full-02-016-v1-mkmlizer: ║ ║
junhua024-chai-02-full-02-016-v1-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-02-full-02-016-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-02-full-02-016-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-02-full-02-016-v1-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-02-full-02-016-v1-mkmlizer: ║ ║
junhua024-chai-02-full-02-016-v1-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-02-full-02-016-v1-mkmlizer: ║ belonging to: ║
junhua024-chai-02-full-02-016-v1-mkmlizer: ║ ║
junhua024-chai-02-full-02-016-v1-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-02-full-02-016-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-02-full-02-016-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-02-full-02-016-v1-mkmlizer: ║ ║
junhua024-chai-02-full-02-016-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-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-02-full-02-016-v1-mkmlizer: Downloaded to shared memory in 119.412s
junhua024-chai-02-full-02-016-v1-mkmlizer: Checking if junhua024/chai_02_full_02_016 already exists in ChaiML
junhua024-chai-02-full-02-016-v1-mkmlizer: Creating repo ChaiML/chai_02_full_02_016 and uploading /tmp/tmpmuwdscx_ to it
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Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
junhua024-chai-02-full-02-016-v1-mkmlizer: quantized model in 163.947s
junhua024-chai-02-full-02-016-v1-mkmlizer: Processed model junhua024/chai_02_full_02_016 in 366.132s
junhua024-chai-02-full-02-016-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-02-016-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-02-016-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-02-016-v1/nvidia
junhua024-chai-02-full-02-016-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-016-v1/nvidia/tokenizer.json
junhua024-chai-02-full-02-016-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-02-016-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-02-016-v1-mkmlizer completed after 388.45s with status: succeeded
Stopping job with name junhua024-chai-02-full-02-016-v1-mkmlizer
Pipeline stage MKMLizer completed in 388.96s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-02-016-v1
Waiting for inference service junhua024-chai-02-full-02-016-v1 to be ready
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Unable to record family friendly update due to error: ('http://chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'readfrom tcp 127.0.0.1:50000->127.0.0.1:8080: write tcp 127.0.0.1:50000->127.0.0.1:8080: use of closed network connection\n')
Inference service junhua024-chai-02-full-02-016-v1 ready after 190.7081744670868s
Pipeline stage MKMLDeployer completed in 191.29s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6352245807647705s
Received healthy response to inference request in 2.824967622756958s
Received healthy response to inference request in 3.5576488971710205s
Received healthy response to inference request in 1.4317567348480225s
Received healthy response to inference request in 2.2326531410217285s
5 requests
0 failed requests
5th percentile: 1.5919360160827636
10th percentile: 1.752115297317505
20th percentile: 2.0724738597869874
30th percentile: 2.313167428970337
40th percentile: 2.4741960048675535
50th percentile: 2.6352245807647705
60th percentile: 2.7111217975616455
70th percentile: 2.7870190143585205
80th percentile: 2.971503877639771
90th percentile: 3.2645763874053957
95th percentile: 3.4111126422882077
99th percentile: 3.528341646194458
mean time: 2.5364501953125
Pipeline stage StressChecker completed in 14.96s
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 0.85s
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 0.77s
Shutdown handler de-registered
junhua024-chai-02-full-02-016_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 3150.40s
Shutdown handler de-registered
junhua024-chai-02-full-02-016_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-02-016_v1 status is now torndown due to DeploymentManager action