junhua024-chai-06-full-_34362

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_34362_v3
model_name: junhua024-chai-06-full-_34362_v3
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-18T22:03:23+00:00
num_battles: 7288
num_wins: 3554
celo_rating: 1277.21
family_friendly_score: 0.5466
family_friendly_standard_error: 0.007040290334922275
submission_type: basic
model_repo: junhua024/chai_06_full_021028_0106
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': 0.5974452215184014, 'latency_mean': 1.673657981157303, 'latency_p50': 1.6720585823059082, 'latency_p90': 1.838737916946411}, {'batch_size': 3, 'throughput': 1.0856833542274698, 'latency_mean': 2.7537366545200346, 'latency_p50': 2.759604573249817, 'latency_p90': 3.0728157281875608}, {'batch_size': 5, 'throughput': 1.2997334949257437, 'latency_mean': 3.8294913721084596, 'latency_p50': 3.827850103378296, 'latency_p90': 4.249784517288208}, {'batch_size': 6, 'throughput': 1.3791316872794344, 'latency_mean': 4.329770694971085, 'latency_p50': 4.353033423423767, 'latency_p90': 4.849444174766541}, {'batch_size': 8, 'throughput': 1.429832778108781, 'latency_mean': 5.566614561080932, 'latency_p50': 5.581712007522583, 'latency_p90': 6.231669640541076}, {'batch_size': 10, 'throughput': 1.4772724875303236, 'latency_mean': 6.715753924846649, 'latency_p50': 6.770874261856079, 'latency_p90': 7.662698817253113}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_34362_v3
is_internal_developer: False
language_model: junhua024/chai_06_full_021028_0106
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-18
win_ratio: 0.4876509330406147
generation_params: {'temperature': 1.0, 'top_p': 0.88, '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-06-full-34362-v3-mkmlizer
Failed to get response for submission chaiml-exp-grpo-cp312-_36146_v12: HTTPConnectionPool(host='chaiml-exp-grpo-cp312-36146-v12-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Waiting for job on junhua024-chai-06-full-34362-v3-mkmlizer to finish
Failed to get response for submission chaiml-mistral31-24b-s_69496_v19: HTTPConnectionPool(host='chaiml-mistral31-24b-s-69496-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
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junhua024-chai-06-full-34362-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-34362-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-34362-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-34362-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-34362-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-34362-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-34362-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-34362-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-34362-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-34362-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-34362-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-34362-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-34362-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-34362-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-34362-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-34362-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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`
Failed to get response for submission chaiml-mistral31-24b-s_69496_v19: HTTPConnectionPool(host='chaiml-mistral31-24b-s-69496-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-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-06-full-34362-v3-mkmlizer: Downloaded to shared memory in 130.433s
junhua024-chai-06-full-34362-v3-mkmlizer: Checking if junhua024/chai_06_full_021028_0106 already exists in ChaiML
junhua024-chai-06-full-34362-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpgby957ct, device:0
junhua024-chai-06-full-34362-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-34362-v3-mkmlizer: quantized model in 31.925s
junhua024-chai-06-full-34362-v3-mkmlizer: Processed model junhua024/chai_06_full_021028_0106 in 162.442s
junhua024-chai-06-full-34362-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-34362-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-34362-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-34362-v3/nvidia
junhua024-chai-06-full-34362-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-34362-v3/nvidia/config.json
junhua024-chai-06-full-34362-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-34362-v3/nvidia/special_tokens_map.json
junhua024-chai-06-full-34362-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-34362-v3/nvidia/tokenizer_config.json
junhua024-chai-06-full-34362-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-34362-v3/nvidia/tokenizer.json
junhua024-chai-06-full-34362-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-34362-v3/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-34362-v3-mkmlizer: 
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Job junhua024-chai-06-full-34362-v3-mkmlizer completed after 377.58s with status: succeeded
Stopping job with name junhua024-chai-06-full-34362-v3-mkmlizer
Pipeline stage MKMLizer completed in 378.17s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.51s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-34362-v3
Waiting for inference service junhua024-chai-06-full-34362-v3 to be ready
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-20250611-retune-_1558_v12: HTTPConnectionPool(host='chaiml-20250611-retune-1558-v12-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-mistral31-24b-s_69496_v19: HTTPConnectionPool(host='chaiml-mistral31-24b-s-69496-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-34362-v3 ready after 331.64903450012207s
Pipeline stage MKMLDeployer completed in 332.29s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2543959617614746s
Received healthy response to inference request in 2.2459378242492676s
Received healthy response to inference request in 1.5554242134094238s
Received healthy response to inference request in 1.7262780666351318s
Received healthy response to inference request in 1.9186115264892578s
5 requests
0 failed requests
5th percentile: 1.5895949840545653
10th percentile: 1.623765754699707
20th percentile: 1.6921072959899903
30th percentile: 1.764744758605957
40th percentile: 1.8416781425476074
50th percentile: 1.9186115264892578
60th percentile: 2.049542045593262
70th percentile: 2.1804725646972654
80th percentile: 2.247629451751709
90th percentile: 2.2510127067565917
95th percentile: 2.2527043342590334
99th percentile: 2.2540576362609865
mean time: 1.9401295185089111
Pipeline stage StressChecker completed in 11.58s
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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 0.70s
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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 1.01s
Shutdown handler de-registered
junhua024-chai-06-full-_34362_v3 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 0.14s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-06-full-34362-v3-profiler
Waiting for inference service junhua024-chai-06-full-34362-v3-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 3267.09s
Shutdown handler de-registered
junhua024-chai-06-full-_34362_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_34362_v3 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_34362_v3 status is now torndown due to DeploymentManager action