junhua024-chai-16-full-_63690

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_63690_v5
model_name: junhua024-chai-16-full-_63690_v5
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-20T05:13:57+00:00
num_battles: 5387
num_wins: 2804
celo_rating: 1287.73
family_friendly_score: 0.5506
family_friendly_standard_error: 0.007034765667739047
submission_type: basic
model_repo: junhua024/chai_16_full_106_qkv_o_ffn_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': 0.6009990361786086, 'latency_mean': 1.6637042105197906, 'latency_p50': 1.6741740703582764, 'latency_p90': 1.8254015922546387}, {'batch_size': 3, 'throughput': 1.092169449364717, 'latency_mean': 2.7357352316379546, 'latency_p50': 2.726986527442932, 'latency_p90': 2.9808438539505007}, {'batch_size': 5, 'throughput': 1.303305841295897, 'latency_mean': 3.819831963777542, 'latency_p50': 3.850380778312683, 'latency_p90': 4.32189564704895}, {'batch_size': 6, 'throughput': 1.3737278254386134, 'latency_mean': 4.3408174276351925, 'latency_p50': 4.334778189659119, 'latency_p90': 4.847525691986084}, {'batch_size': 8, 'throughput': 1.4387452709758433, 'latency_mean': 5.520372958183288, 'latency_p50': 5.506584405899048, 'latency_p90': 6.221684312820434}, {'batch_size': 10, 'throughput': 1.4631503929579608, 'latency_mean': 6.7753842210769655, 'latency_p50': 6.769042611122131, 'latency_p90': 7.598355102539062}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_63690_v5
is_internal_developer: False
language_model: junhua024/chai_16_full_106_qkv_o_ffn_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-19
win_ratio: 0.5205123445331353
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-63690-v5-mkmlizer
Waiting for job on junhua024-chai-16-full-63690-v5-mkmlizer to finish
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junhua024-chai-16-full-63690-v5-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-63690-v5-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63690-v5-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-63690-v5-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-63690-v5-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-63690-v5-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-63690-v5-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63690-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-63690-v5-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-63690-v5-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63690-v5-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-63690-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-63690-v5-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-63690-v5-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63690-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-63690-v5-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 junhua024-chai-16-full-_63690_v3: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v3-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)
junhua024-chai-16-full-63690-v5-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-63690-v5-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-63690-v5-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-63690-v5-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 junhua024-chai-16-full-_63690_v3: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_63690_v4: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_63690_v4: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_63690_v3: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-63690-v5-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-63690-v5-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-63690-v5-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-63690-v5-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-63690-v5-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-63690-v5-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-63690-v5-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-63690-v5-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-63690-v5-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-63690-v5-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-63690-v5-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-63690-v5-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-63690-v5-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-63690-v5-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-63690-v5-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-63690-v5-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-63690-v5-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-63690-v5-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-63690-v5-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 junhua024-chai-16-full-_63690_v1: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-63690-v5-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-63690-v5-mkmlizer: Downloaded to shared memory in 80.199s
junhua024-chai-16-full-63690-v5-mkmlizer: Checking if junhua024/chai_16_full_106_qkv_o_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-63690-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpn6ot16vk, device:0
junhua024-chai-16-full-63690-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-63690-v5-mkmlizer: quantized model in 32.767s
junhua024-chai-16-full-63690-v5-mkmlizer: Processed model junhua024/chai_16_full_106_qkv_o_ffn_1925 in 113.043s
junhua024-chai-16-full-63690-v5-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-63690-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-63690-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v5/nvidia
junhua024-chai-16-full-63690-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v5/nvidia/config.json
junhua024-chai-16-full-63690-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v5/nvidia/special_tokens_map.json
junhua024-chai-16-full-63690-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v5/nvidia/tokenizer_config.json
junhua024-chai-16-full-63690-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v5/nvidia/tokenizer.json
junhua024-chai-16-full-63690-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v5/nvidia/flywheel_model.0.safetensors
junhua024-chai-16-full-63690-v5-mkmlizer: 
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Job junhua024-chai-16-full-63690-v5-mkmlizer completed after 150.04s with status: succeeded
Stopping job with name junhua024-chai-16-full-63690-v5-mkmlizer
Pipeline stage MKMLizer completed in 150.57s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-16-full-63690-v5
Waiting for inference service junhua024-chai-16-full-63690-v5 to be ready
Failed to get response for submission junhua024-chai-16-full-_63690_v1: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_63690_v2: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_63690_v3: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-16-full-63690-v5 ready after 332.01492190361023s
Pipeline stage MKMLDeployer completed in 332.85s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.601508140563965s
Received healthy response to inference request in 1.6593420505523682s
Received healthy response to inference request in 1.8899600505828857s
Received healthy response to inference request in 1.7461588382720947s
Received healthy response to inference request in 2.130627393722534s
5 requests
0 failed requests
5th percentile: 1.6767054080963135
10th percentile: 1.6940687656402589
20th percentile: 1.7287954807281494
30th percentile: 1.774919080734253
40th percentile: 1.8324395656585692
50th percentile: 1.8899600505828857
60th percentile: 1.986226987838745
70th percentile: 2.0824939250946044
80th percentile: 2.2248035430908204
90th percentile: 2.4131558418273924
95th percentile: 2.5073319911956786
99th percentile: 2.5826729106903077
mean time: 2.0055192947387694
Pipeline stage StressChecker completed in 12.04s
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 0.97s
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 0.94s
Shutdown handler de-registered
junhua024-chai-16-full-_63690_v5 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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3234.05s
Shutdown handler de-registered
junhua024-chai-16-full-_63690_v5 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_63690_v5 status is now torndown due to DeploymentManager action