junhua024-chai-16-full-_35624

developer_uid: junhua024

submission_id: junhua024-chai-16-full-_35624_v4

model_name: junhua024-chai-16-full-_35624_v4

model_group: junhua024/chai_16_full_1

status: torndown

timestamp: 2025-07-19T11:57:58+00:00

num_battles: 7504

num_wins: 3656

celo_rating: 1272.82

family_friendly_score: 0.5538000000000001

family_friendly_standard_error: 0.0070300150782199615

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': 0.5910130151748101, 'latency_mean': 1.6918922686576843, 'latency_p50': 1.6927381753921509, 'latency_p90': 1.85016770362854}, {'batch_size': 3, 'throughput': 1.0627749429165063, 'latency_mean': 2.820481694936752, 'latency_p50': 2.8254637718200684, 'latency_p90': 3.159820771217346}, {'batch_size': 5, 'throughput': 1.2660917953921904, 'latency_mean': 3.9276844024658204, 'latency_p50': 3.9313095808029175, 'latency_p90': 4.366624593734741}, {'batch_size': 6, 'throughput': 1.3191648087246268, 'latency_mean': 4.518372871875763, 'latency_p50': 4.544673681259155, 'latency_p90': 5.155980467796326}, {'batch_size': 8, 'throughput': 1.3859378759350425, 'latency_mean': 5.7402977061271665, 'latency_p50': 5.7450233697891235, 'latency_p90': 6.357145428657532}, {'batch_size': 10, 'throughput': 1.4157080746645407, 'latency_mean': 7.01284534573555, 'latency_p50': 7.038372278213501, 'latency_p90': 7.827417111396789}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-16-full-_35624_v4

is_internal_developer: False

language_model: junhua024/chai_16_full_102_o_1925

model_size: 13B

ranking_group: single

throughput_3p7s: 1.24

us_pacific_date: 2025-07-19

win_ratio: 0.48720682302771856

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-v4-mkmlizer
Waiting for job on junhua024-chai-16-full-35624-v4-mkmlizer to finish
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junhua024-chai-16-full-35624-v4-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-35624-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-35624-v4-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-35624-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-35624-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-35624-v4-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-35624-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-35624-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-35624-v4-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-35624-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-35624-v4-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-35624-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-35624-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-35624-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-35624-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-35624-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpy183_y0z, device:0
junhua024-chai-16-full-35624-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-35624-v4-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-35624-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-35624-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-35624-v4/nvidia
junhua024-chai-16-full-35624-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-35624-v4/nvidia/config.json
junhua024-chai-16-full-35624-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-35624-v4/nvidia/special_tokens_map.json
junhua024-chai-16-full-35624-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-35624-v4/nvidia/tokenizer_config.json
junhua024-chai-16-full-35624-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-35624-v4/nvidia/tokenizer.json
junhua024-chai-16-full-35624-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-35624-v4/nvidia/flywheel_model.0.safetensors
Job junhua024-chai-16-full-35624-v4-mkmlizer completed after 141.33s with status: succeeded
Stopping job with name junhua024-chai-16-full-35624-v4-mkmlizer
Pipeline stage MKMLizer completed in 141.94s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-16-full-35624-v4
Waiting for inference service junhua024-chai-16-full-35624-v4 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)
Inference service junhua024-chai-16-full-35624-v4 ready after 313.7675383090973s
Pipeline stage MKMLDeployer completed in 314.31s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.257673501968384s
Received healthy response to inference request in 1.8623082637786865s
Received healthy response to inference request in 2.142761707305908s
Received healthy response to inference request in 2.2866287231445312s
Received healthy response to inference request in 1.859168291091919s
5 requests
0 failed requests
5th percentile: 1.8597962856292725
10th percentile: 1.860424280166626
20th percentile: 1.861680269241333
30th percentile: 1.918398952484131
40th percentile: 2.0305803298950194
50th percentile: 2.142761707305908
60th percentile: 2.2003085136413576
70th percentile: 2.2578553199768066
80th percentile: 2.480837678909302
90th percentile: 2.869255590438843
95th percentile: 3.063464546203613
99th percentile: 3.21883171081543
mean time: 2.281708097457886
Pipeline stage StressChecker completed in 13.09s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.81s
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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 0.98s
Shutdown handler de-registered
junhua024-chai-16-full-_35624_v4 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 0.17s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-16-full-35624-v4-profiler
Waiting for inference service junhua024-chai-16-full-35624-v4-profiler to be ready
Shutdown handler registered
run pipeline %s
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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 3476.44s
Shutdown handler de-registered
junhua024-chai-16-full-_35624_v4 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_35624_v4 status is now torndown due to DeploymentManager action