junhua024-chai-16-full-_10179

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_10179_v2
model_name: junhua024-chai-16-full-_10179_v2
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-19T18:26:49+00:00
num_battles: 9542
num_wins: 4680
celo_rating: 1279.93
family_friendly_score: 0.5569999999999999
family_friendly_standard_error: 0.007024969750824553
submission_type: basic
model_repo: junhua024/chai_16_full_106_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': 0.5806105000420486, 'latency_mean': 1.7222067379951478, 'latency_p50': 1.7174575328826904, 'latency_p90': 1.897306990623474}, {'batch_size': 3, 'throughput': 1.0608559164436755, 'latency_mean': 2.817803270816803, 'latency_p50': 2.803475022315979, 'latency_p90': 3.1419450759887693}, {'batch_size': 5, 'throughput': 1.244561358398007, 'latency_mean': 4.006888951063156, 'latency_p50': 4.010546565055847, 'latency_p90': 4.508011150360107}, {'batch_size': 6, 'throughput': 1.3134826089774474, 'latency_mean': 4.544760814905167, 'latency_p50': 4.528748154640198, 'latency_p90': 5.028154802322388}, {'batch_size': 8, 'throughput': 1.362409735974743, 'latency_mean': 5.8405197930336, 'latency_p50': 5.877033829689026, 'latency_p90': 6.567302775382996}, {'batch_size': 10, 'throughput': 1.3982993185338446, 'latency_mean': 7.091312087774277, 'latency_p50': 7.10758376121521, 'latency_p90': 7.976882886886597}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_10179_v2
is_internal_developer: False
language_model: junhua024/chai_16_full_106_o_ffn_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.21
us_pacific_date: 2025-07-19
win_ratio: 0.4904632152588556
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-10179-v2-mkmlizer
Waiting for job on junhua024-chai-16-full-10179-v2-mkmlizer to finish
junhua024-chai-16-full-10179-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-16-full-10179-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-10179-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-10179-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-10179-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-10179-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-10179-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-10179-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-10179-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-10179-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-10179-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-10179-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-10179-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-10179-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-10179-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-10179-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-10179-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-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-10179-v2-mkmlizer: Downloaded to shared memory in 155.448s
junhua024-chai-16-full-10179-v2-mkmlizer: Checking if junhua024/chai_16_full_106_o_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-10179-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp3xdsgn1r, device:0
junhua024-chai-16-full-10179-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-10179-v2-mkmlizer: quantized model in 31.467s
junhua024-chai-16-full-10179-v2-mkmlizer: Processed model junhua024/chai_16_full_106_o_ffn_1925 in 187.004s
junhua024-chai-16-full-10179-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-10179-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-10179-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-10179-v2/nvidia
junhua024-chai-16-full-10179-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-10179-v2/nvidia/config.json
junhua024-chai-16-full-10179-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-10179-v2/nvidia/special_tokens_map.json
junhua024-chai-16-full-10179-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-10179-v2/nvidia/tokenizer_config.json
junhua024-chai-16-full-10179-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-10179-v2/nvidia/tokenizer.json
junhua024-chai-16-full-10179-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-10179-v2/nvidia/flywheel_model.0.safetensors
junhua024-chai-16-full-10179-v2-mkmlizer: 
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Job junhua024-chai-16-full-10179-v2-mkmlizer completed after 212.34s with status: succeeded
Stopping job with name junhua024-chai-16-full-10179-v2-mkmlizer
Pipeline stage MKMLizer completed in 212.93s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-16-full-10179-v2
Waiting for inference service junhua024-chai-16-full-10179-v2 to be ready
Failed to get response for submission junhua024-chai-16-full-_69709_v6: HTTPConnectionPool(host='junhua024-chai-16-full-69709-v6-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-16-full-10179-v2 ready after 333.09691762924194s
Pipeline stage MKMLDeployer completed in 333.60s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4527769088745117s
Failed to get response for submission junhua024-chai-16-full-_69709_v6: HTTPConnectionPool(host='junhua024-chai-16-full-69709-v6-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Received healthy response to inference request in 2.0609865188598633s
Received healthy response to inference request in 1.8109722137451172s
Received healthy response to inference request in 1.5843803882598877s
Received healthy response to inference request in 1.5529658794403076s
5 requests
0 failed requests
5th percentile: 1.5592487812042237
10th percentile: 1.5655316829681396
20th percentile: 1.5780974864959716
30th percentile: 1.6296987533569336
40th percentile: 1.7203354835510254
50th percentile: 1.8109722137451172
60th percentile: 1.9109779357910157
70th percentile: 2.0109836578369142
80th percentile: 2.139344596862793
90th percentile: 2.2960607528686525
95th percentile: 2.374418830871582
99th percentile: 2.437105293273926
mean time: 1.8924163818359374
Pipeline stage StressChecker completed in 10.97s
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 0.96s
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 0.69s
Shutdown handler de-registered
junhua024-chai-16-full-_10179_v2 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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 2650.95s
Shutdown handler de-registered
junhua024-chai-16-full-_10179_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_10179_v2 status is now torndown due to DeploymentManager action