junhua024-chai-02-full-02

developer_uid: junhua024
submission_id: junhua024-chai-02-full-02_v1
model_name: junhua024-chai-02-full-02_v1
model_group: junhua024/chai_02-full_0
status: torndown
timestamp: 2025-07-12T08:38:18+00:00
num_battles: 30252
num_wins: 14376
celo_rating: 1249.32
family_friendly_score: 0.608
family_friendly_standard_error: 0.006904143683325254
submission_type: basic
model_repo: junhua024/chai_02-full_02
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': 0.5967148305567556, 'latency_mean': 1.6757453346252442, 'latency_p50': 1.6752190589904785, 'latency_p90': 1.844228982925415}, {'batch_size': 3, 'throughput': 1.0730237036589034, 'latency_mean': 2.7852440130710603, 'latency_p50': 2.7922158241271973, 'latency_p90': 3.067774224281311}, {'batch_size': 5, 'throughput': 1.3021660751217938, 'latency_mean': 3.8207789671421053, 'latency_p50': 3.785318970680237, 'latency_p90': 4.298668599128723}, {'batch_size': 6, 'throughput': 1.3700834443000616, 'latency_mean': 4.357024414539337, 'latency_p50': 4.349728941917419, 'latency_p90': 4.95426378250122}, {'batch_size': 8, 'throughput': 1.417985174606073, 'latency_mean': 5.606094212532043, 'latency_p50': 5.581443428993225, 'latency_p90': 6.327119517326355}, {'batch_size': 10, 'throughput': 1.4577294123803393, 'latency_mean': 6.805552095174789, 'latency_p50': 6.8729376792907715, 'latency_p90': 7.5852296352386475}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-02_v1
is_internal_developer: False
language_model: junhua024/chai_02-full_02
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-12
win_ratio: 0.475208250694169
generation_params: {'temperature': 1.0, 'top_p': 1.0, '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-02-full-02-v1-mkmlizer
Waiting for job on junhua024-chai-02-full-02-v1-mkmlizer to finish
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junhua024-chai-02-full-02-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-02-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-02-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-02-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-02-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-02-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-02-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-02-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-02-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-02-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-02-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-02-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-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-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-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-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-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-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-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-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-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-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-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-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-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-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-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-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-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-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-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-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-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-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-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-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-v1-mkmlizer: Downloaded to shared memory in 120.315s
junhua024-chai-02-full-02-v1-mkmlizer: Checking if junhua024/chai_02-full_02 already exists in ChaiML
junhua024-chai-02-full-02-v1-mkmlizer: Creating repo ChaiML/chai_02-full_02 and uploading /tmp/tmp8ueq5b7s to it
Failed to get response for submission junhua024-chai-02-full-01_v1: HTTPConnectionPool(host='junhua024-chai-02-full-01-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-02-full-02-v1-mkmlizer: 
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junhua024-chai-02-full-02-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8ueq5b7s, device:0
junhua024-chai-02-full-02-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-02-v1-mkmlizer: quantized model in 31.307s
junhua024-chai-02-full-02-v1-mkmlizer: Processed model junhua024/chai_02-full_02 in 228.175s
junhua024-chai-02-full-02-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-02-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-02-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-02-v1/nvidia
junhua024-chai-02-full-02-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-v1/nvidia/config.json
junhua024-chai-02-full-02-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-v1/nvidia/special_tokens_map.json
junhua024-chai-02-full-02-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-v1/nvidia/tokenizer_config.json
junhua024-chai-02-full-02-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-v1/nvidia/tokenizer.json
junhua024-chai-02-full-02-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-02-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-02-v1-mkmlizer completed after 250.09s with status: succeeded
Stopping job with name junhua024-chai-02-full-02-v1-mkmlizer
Pipeline stage MKMLizer completed in 250.61s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.45s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-02-v1
Waiting for inference service junhua024-chai-02-full-02-v1 to be ready
Failed to get response for submission junhua024-chai-02-full-01_v1: HTTPConnectionPool(host='junhua024-chai-02-full-01-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-02-full-02-v1 ready after 200.70586228370667s
Pipeline stage MKMLDeployer completed in 201.26s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3864669799804688s
Received healthy response to inference request in 1.9042062759399414s
Received healthy response to inference request in 1.2023513317108154s
Received healthy response to inference request in 1.5187511444091797s
Received healthy response to inference request in 1.7201259136199951s
5 requests
0 failed requests
5th percentile: 1.2656312942504884
10th percentile: 1.328911256790161
20th percentile: 1.4554711818695067
30th percentile: 1.5590260982513429
40th percentile: 1.639576005935669
50th percentile: 1.7201259136199951
60th percentile: 1.7937580585479735
70th percentile: 1.8673902034759522
80th percentile: 2.000658416748047
90th percentile: 2.193562698364258
95th percentile: 2.2900148391723634
99th percentile: 2.3671765518188477
mean time: 1.74638032913208
Pipeline stage StressChecker completed in 10.11s
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 0.76s
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 1.00s
Shutdown handler de-registered
junhua024-chai-02-full-02_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 5847.23s
Shutdown handler de-registered
junhua024-chai-02-full-02_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-02_v1 status is now torndown due to DeploymentManager action