junhua024-chai-16-full-_63041

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_63041_v3
model_name: junhua024-chai-16-full-_63041_v3
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-19T20:09:15+00:00
num_battles: 10525
num_wins: 5178
celo_rating: 1276.03
family_friendly_score: 0.5496
family_friendly_standard_error: 0.007036189878051899
submission_type: basic
model_repo: junhua024/chai_16_full_11_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': 0.5830415961346416, 'latency_mean': 1.7150245988368988, 'latency_p50': 1.7097537517547607, 'latency_p90': 1.890540599822998}, {'batch_size': 3, 'throughput': 1.0603327334241741, 'latency_mean': 2.820575007200241, 'latency_p50': 2.79240620136261, 'latency_p90': 3.1255905389785767}, {'batch_size': 5, 'throughput': 1.2472551966567753, 'latency_mean': 3.996872767210007, 'latency_p50': 3.9906824827194214, 'latency_p90': 4.4235471963882445}, {'batch_size': 6, 'throughput': 1.3093067608776023, 'latency_mean': 4.562889566421509, 'latency_p50': 4.573951244354248, 'latency_p90': 5.133244872093201}, {'batch_size': 8, 'throughput': 1.3547030595659877, 'latency_mean': 5.872975293397904, 'latency_p50': 5.925454139709473, 'latency_p90': 6.453247308731079}, {'batch_size': 10, 'throughput': 1.391084695175445, 'latency_mean': 7.136762610673904, 'latency_p50': 7.101053476333618, 'latency_p90': 8.0361163854599}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_63041_v3
is_internal_developer: False
language_model: junhua024/chai_16_full_11_qkv_o_ffn_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.21
us_pacific_date: 2025-07-19
win_ratio: 0.4919714964370546
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-63041-v3-mkmlizer
Waiting for job on junhua024-chai-16-full-63041-v3-mkmlizer to finish
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junhua024-chai-16-full-63041-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-63041-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63041-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-63041-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-63041-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-63041-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-63041-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63041-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-63041-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-63041-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63041-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-63041-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-63041-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-63041-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63041-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-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-16-full-63041-v3-mkmlizer: Downloaded to shared memory in 136.077s
junhua024-chai-16-full-63041-v3-mkmlizer: Checking if junhua024/chai_16_full_11_qkv_o_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-63041-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8eot46yu, device:0
junhua024-chai-16-full-63041-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-63041-v3-mkmlizer: quantized model in 31.505s
junhua024-chai-16-full-63041-v3-mkmlizer: Processed model junhua024/chai_16_full_11_qkv_o_ffn_1925 in 167.676s
junhua024-chai-16-full-63041-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-63041-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-63041-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-63041-v3/nvidia
junhua024-chai-16-full-63041-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-63041-v3/nvidia/config.json
junhua024-chai-16-full-63041-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-63041-v3/nvidia/special_tokens_map.json
junhua024-chai-16-full-63041-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-63041-v3/nvidia/tokenizer_config.json
junhua024-chai-16-full-63041-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-63041-v3/nvidia/tokenizer.json
junhua024-chai-16-full-63041-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-63041-v3/nvidia/flywheel_model.0.safetensors
junhua024-chai-16-full-63041-v3-mkmlizer: 
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Job junhua024-chai-16-full-63041-v3-mkmlizer completed after 190.59s with status: succeeded
Stopping job with name junhua024-chai-16-full-63041-v3-mkmlizer
Pipeline stage MKMLizer completed in 191.11s
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-63041-v3
Waiting for inference service junhua024-chai-16-full-63041-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)
Inference service junhua024-chai-16-full-63041-v3 ready after 321.8975625038147s
Pipeline stage MKMLDeployer completed in 322.38s
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 2.3153536319732666s
Received healthy response to inference request in 1.6249456405639648s
Received healthy response to inference request in 2.028538465499878s
Received healthy response to inference request in 2.1644699573516846s
5 requests
1 failed requests
5th percentile: 1.7056642055511475
10th percentile: 1.7863827705383302
20th percentile: 1.9478199005126953
30th percentile: 2.055724763870239
40th percentile: 2.110097360610962
50th percentile: 2.1644699573516846
60th percentile: 2.2248234272003176
70th percentile: 2.28517689704895
80th percentile: 5.883081531524661
90th percentile: 13.018537330627442
95th percentile: 16.58626523017883
99th percentile: 19.440447549819947
mean time: 5.657460165023804
%s, retrying in %s seconds...
Received healthy response to inference request in 1.9140019416809082s
Received healthy response to inference request in 1.8296666145324707s
Received healthy response to inference request in 1.6911187171936035s
Received healthy response to inference request in 1.6759247779846191s
Received healthy response to inference request in 2.2269093990325928s
5 requests
0 failed requests
5th percentile: 1.678963565826416
10th percentile: 1.682002353668213
20th percentile: 1.6880799293518067
30th percentile: 1.718828296661377
40th percentile: 1.7742474555969239
50th percentile: 1.8296666145324707
60th percentile: 1.8634007453918457
70th percentile: 1.8971348762512208
80th percentile: 1.976583433151245
90th percentile: 2.101746416091919
95th percentile: 2.1643279075622557
99th percentile: 2.2143931007385254
mean time: 1.8675242900848388
Pipeline stage StressChecker completed in 40.69s
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 0.72s
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 0.77s
Shutdown handler de-registered
junhua024-chai-16-full-_63041_v3 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
Pipeline stage OfflineFamilyFriendlyScorer completed in 5005.48s
Shutdown handler de-registered
junhua024-chai-16-full-_63041_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_63041_v3 status is now torndown due to DeploymentManager action