junhua024-chai-16-full-_35624

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_35624_v2
model_name: junhua024-chai-16-full-_35624_v2
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-19T11:21:13+00:00
num_battles: 7398
num_wins: 3681
celo_rating: 1283.27
family_friendly_score: 0.5492
family_friendly_standard_error: 0.007036751523252757
submission_type: basic
model_repo: junhua024/chai_16_full_102_o_1925
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': 0.5978019233482836, 'latency_mean': 1.672594050168991, 'latency_p50': 1.6760514974594116, 'latency_p90': 1.852712059020996}, {'batch_size': 3, 'throughput': 1.076009387935015, 'latency_mean': 2.7805651688575743, 'latency_p50': 2.781540036201477, 'latency_p90': 3.1486014127731323}, {'batch_size': 5, 'throughput': 1.2935617722035357, 'latency_mean': 3.8481059610843658, 'latency_p50': 3.8087044954299927, 'latency_p90': 4.343941497802734}, {'batch_size': 6, 'throughput': 1.3513796608852537, 'latency_mean': 4.416057542562485, 'latency_p50': 4.43240749835968, 'latency_p90': 4.977241945266724}, {'batch_size': 8, 'throughput': 1.420885495111259, 'latency_mean': 5.601405104398728, 'latency_p50': 5.615776538848877, 'latency_p90': 6.258744764328003}, {'batch_size': 10, 'throughput': 1.4439876683095634, 'latency_mean': 6.8487118411064145, 'latency_p50': 6.896149277687073, 'latency_p90': 7.707645297050476}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_35624_v2
is_internal_developer: False
language_model: junhua024/chai_16_full_102_o_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-19
win_ratio: 0.4975669099756691
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-16-full-35624-v2-mkmlizer
Waiting for job on junhua024-chai-16-full-35624-v2-mkmlizer to finish
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junhua024-chai-16-full-35624-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-35624-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-35624-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-35624-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-35624-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-35624-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-35624-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-35624-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-35624-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-35624-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-35624-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-35624-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-35624-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-35624-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-35624-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-35624-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-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)
junhua024-chai-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-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-16-full-35624-v2-mkmlizer: Downloaded to shared memory in 132.548s
junhua024-chai-16-full-35624-v2-mkmlizer: Checking if junhua024/chai_16_full_102_o_1925 already exists in ChaiML
junhua024-chai-16-full-35624-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpsgzmhx_t, device:0
junhua024-chai-16-full-35624-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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)
junhua024-chai-16-full-35624-v2-mkmlizer: quantized model in 31.968s
junhua024-chai-16-full-35624-v2-mkmlizer: Processed model junhua024/chai_16_full_102_o_1925 in 164.605s
junhua024-chai-16-full-35624-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-35624-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-35624-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-35624-v2/nvidia
junhua024-chai-16-full-35624-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-35624-v2/nvidia/config.json
junhua024-chai-16-full-35624-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-35624-v2/nvidia/special_tokens_map.json
junhua024-chai-16-full-35624-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-35624-v2/nvidia/tokenizer_config.json
junhua024-chai-16-full-35624-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-35624-v2/nvidia/tokenizer.json
junhua024-chai-16-full-35624-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-35624-v2/nvidia/flywheel_model.0.safetensors
junhua024-chai-16-full-35624-v2-mkmlizer: 
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Job junhua024-chai-16-full-35624-v2-mkmlizer completed after 193.19s with status: succeeded
Stopping job with name junhua024-chai-16-full-35624-v2-mkmlizer
Pipeline stage MKMLizer completed in 193.91s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-16-full-35624-v2
Waiting for inference service junhua024-chai-16-full-35624-v2 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-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)
Inference service junhua024-chai-16-full-35624-v2 ready after 332.7988655567169s
Pipeline stage MKMLDeployer completed in 333.41s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.738736152648926s
Received healthy response to inference request in 1.7873222827911377s
Received healthy response to inference request in 1.6183114051818848s
Received healthy response to inference request in 2.111947774887085s
5 requests
1 failed requests
5th percentile: 1.6521135807037353
10th percentile: 1.685915756225586
20th percentile: 1.7535201072692872
30th percentile: 1.852247381210327
40th percentile: 1.982097578048706
50th percentile: 2.111947774887085
60th percentile: 2.3626631259918214
70th percentile: 2.6133784770965574
80th percentile: 6.217902517318729
90th percentile: 13.176235246658326
95th percentile: 16.655401611328124
99th percentile: 19.438734703063965
mean time: 5.678177118301392
%s, retrying in %s seconds...
Received healthy response to inference request in 1.6896920204162598s
Received healthy response to inference request in 1.8365199565887451s
Received healthy response to inference request in 1.8557357788085938s
Received healthy response to inference request in 2.4050045013427734s
Received healthy response to inference request in 1.9260766506195068s
5 requests
0 failed requests
5th percentile: 1.7190576076507569
10th percentile: 1.748423194885254
20th percentile: 1.807154369354248
30th percentile: 1.840363121032715
40th percentile: 1.8480494499206543
50th percentile: 1.8557357788085938
60th percentile: 1.883872127532959
70th percentile: 1.9120084762573242
80th percentile: 2.0218622207641603
90th percentile: 2.213433361053467
95th percentile: 2.30921893119812
99th percentile: 2.385847387313843
mean time: 1.9426057815551758
Pipeline stage StressChecker completed in 41.17s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.73s
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Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.72s
Shutdown handler de-registered
junhua024-chai-16-full-_35624_v2 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 0.15s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-16-full-35624-v2-profiler
Waiting for inference service junhua024-chai-16-full-35624-v2-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4447.46s
Shutdown handler de-registered
junhua024-chai-16-full-_35624_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_35624_v2 status is now torndown due to DeploymentManager action