junhua024-chai-02-full_54657

developer_uid: junhua024
submission_id: junhua024-chai-02-full_54657_v12
model_name: junhua024-chai-02-full_54657_v12
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-24T07:24:30+00:00
num_battles: 6974
num_wins: 3535
celo_rating: 1289.56
family_friendly_score: 0.4202
family_friendly_standard_error: 0.006980429213164474
submission_type: basic
model_repo: junhua024/chai_02_full_02_019
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5250192224909463, 'latency_mean': 1.9045891761779785, 'latency_p50': 1.9137645959854126, 'latency_p90': 2.06372184753418}, {'batch_size': 2, 'throughput': 0.6882510668184932, 'latency_mean': 2.8997802317142485, 'latency_p50': 2.9025368690490723, 'latency_p90': 3.166321134567261}, {'batch_size': 3, 'throughput': 0.7735620373472604, 'latency_mean': 3.870634434223175, 'latency_p50': 3.873055934906006, 'latency_p90': 4.257559204101563}, {'batch_size': 4, 'throughput': 0.8335128738780377, 'latency_mean': 4.786333315372467, 'latency_p50': 4.763644695281982, 'latency_p90': 5.193629193305969}, {'batch_size': 5, 'throughput': 0.8619903925309642, 'latency_mean': 5.785273731946945, 'latency_p50': 5.80469286441803, 'latency_p90': 6.424819421768189}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full_54657_v12
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 0.76
us_pacific_date: 2025-07-24
win_ratio: 0.5068827071981646
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '{memory} highly family‑friendly', '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-54657-v12-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v12-mkmlizer to finish
junhua024-chai-02-full-54657-v12-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-54657-v12-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-54657-v12-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-54657-v12-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v12-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-54657-v12-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-54657-v12-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-54657-v12-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-54657-v12-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v12-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-54657-v12-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-54657-v12-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v12-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-54657-v12-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-54657-v12-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-54657-v12-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v12-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-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-54657-v12-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp46t4_oy1, device:0
junhua024-chai-02-full-54657-v12-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-54657-v12-mkmlizer: quantized model in 167.597s
junhua024-chai-02-full-54657-v12-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 248.109s
junhua024-chai-02-full-54657-v12-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v12-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-54657-v12-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v12/nvidia
junhua024-chai-02-full-54657-v12-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v12/nvidia/config.json
junhua024-chai-02-full-54657-v12-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v12/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v12/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v12/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v12-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v12/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-54657-v12-mkmlizer completed after 277.17s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v12-mkmlizer
Pipeline stage MKMLizer completed in 277.93s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.56s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-54657-v12
Waiting for inference service junhua024-chai-02-full-54657-v12 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', '')
Inference service junhua024-chai-02-full-54657-v12 ready after 181.9712634086609s
Pipeline stage MKMLDeployer completed in 182.87s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.481165885925293s
Received healthy response to inference request in 1.7000279426574707s
Received healthy response to inference request in 1.9213321208953857s
Received healthy response to inference request in 2.6191399097442627s
Received healthy response to inference request in 2.4010119438171387s
5 requests
0 failed requests
5th percentile: 1.7442887783050538
10th percentile: 1.7885496139526367
20th percentile: 1.8770712852478026
30th percentile: 2.0172680854797362
40th percentile: 2.2091400146484377
50th percentile: 2.4010119438171387
60th percentile: 2.4882631301879883
70th percentile: 2.575514316558838
80th percentile: 2.791545104980469
90th percentile: 3.136355495452881
95th percentile: 3.3087606906890867
99th percentile: 3.4466848468780515
mean time: 2.42453556060791
Pipeline stage StressChecker completed in 13.63s
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 0.68s
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 0.68s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v12 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-02-full-54657-v12-profiler
Waiting for inference service junhua024-chai-02-full-54657-v12-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 3465.71s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v12 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v12 status is now torndown due to DeploymentManager action