junhua024-chai-16-full-_63690

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_63690_v2
model_name: junhua024-chai-16-full-_63690_v2
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-20T04:23:23+00:00
num_battles: 8048
num_wins: 3875
celo_rating: 1269.34
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
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': 0.601242949311269, 'latency_mean': 1.6631163430213929, 'latency_p50': 1.656130075454712, 'latency_p90': 1.8272900581359863}, {'batch_size': 3, 'throughput': 1.0934030683801916, 'latency_mean': 2.733560302257538, 'latency_p50': 2.7289704084396362, 'latency_p90': 3.0093626737594605}, {'batch_size': 5, 'throughput': 1.3094912777350596, 'latency_mean': 3.8075274872779845, 'latency_p50': 3.7933629751205444, 'latency_p90': 4.253940558433532}, {'batch_size': 6, 'throughput': 1.3729809916490197, 'latency_mean': 4.331368362903595, 'latency_p50': 4.296779274940491, 'latency_p90': 4.834834265708923}, {'batch_size': 8, 'throughput': 1.4505101632835655, 'latency_mean': 5.4789602875709535, 'latency_p50': 5.481636166572571, 'latency_p90': 6.140293860435486}, {'batch_size': 10, 'throughput': 1.4767254474106708, 'latency_mean': 6.71363419175148, 'latency_p50': 6.700566053390503, 'latency_p90': 7.557031512260437}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_63690_v2
is_internal_developer: False
language_model: junhua024/chai_16_full_106_qkv_o_ffn_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.3
us_pacific_date: 2025-07-19
win_ratio: 0.48148608349900596
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-v2-mkmlizer
Waiting for job on junhua024-chai-16-full-63690-v2-mkmlizer to finish
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junhua024-chai-16-full-63690-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-63690-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63690-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-63690-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-63690-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-63690-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-63690-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63690-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-63690-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-63690-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63690-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-63690-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-63690-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-63690-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63690-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-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-63690-v2-mkmlizer: Downloaded to shared memory in 145.687s
junhua024-chai-16-full-63690-v2-mkmlizer: Checking if junhua024/chai_16_full_106_qkv_o_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-63690-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7ze_c5n0, device:0
junhua024-chai-16-full-63690-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-63690-v2-mkmlizer: quantized model in 31.572s
junhua024-chai-16-full-63690-v2-mkmlizer: Processed model junhua024/chai_16_full_106_qkv_o_ffn_1925 in 177.334s
junhua024-chai-16-full-63690-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-63690-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-63690-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v2/nvidia
junhua024-chai-16-full-63690-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v2/nvidia/config.json
junhua024-chai-16-full-63690-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v2/nvidia/special_tokens_map.json
junhua024-chai-16-full-63690-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v2/nvidia/tokenizer_config.json
junhua024-chai-16-full-63690-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v2/nvidia/tokenizer.json
junhua024-chai-16-full-63690-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v2/nvidia/flywheel_model.0.safetensors
junhua024-chai-16-full-63690-v2-mkmlizer: 
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Job junhua024-chai-16-full-63690-v2-mkmlizer completed after 201.45s with status: succeeded
Stopping job with name junhua024-chai-16-full-63690-v2-mkmlizer
Pipeline stage MKMLizer completed in 202.11s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-16-full-63690-v2
Waiting for inference service junhua024-chai-16-full-63690-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)
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)
Inference service junhua024-chai-16-full-63690-v2 ready after 332.6229271888733s
Pipeline stage MKMLDeployer completed in 333.35s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.6775033473968506s
Received healthy response to inference request in 1.8614487648010254s
Received healthy response to inference request in 1.8007917404174805s
Received healthy response to inference request in 1.697627067565918s
Received healthy response to inference request in 1.7285234928131104s
5 requests
0 failed requests
5th percentile: 1.7038063526153564
10th percentile: 1.7099856376647948
20th percentile: 1.722344207763672
30th percentile: 1.7429771423339844
40th percentile: 1.7718844413757324
50th percentile: 1.8007917404174805
60th percentile: 1.8250545501708983
70th percentile: 1.8493173599243165
80th percentile: 2.0246596813201907
90th percentile: 2.3510815143585204
95th percentile: 2.5142924308776853
99th percentile: 2.6448611640930175
mean time: 1.953178882598877
Pipeline stage StressChecker completed in 11.22s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.69s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.97s
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junhua024-chai-16-full-_63690_v2 status is now deployed due to DeploymentManager action
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Pipeline stage MKMLProfilerDeleter completed in 0.18s
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Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Creating inference service junhua024-chai-16-full-63690-v2-profiler
Waiting for inference service junhua024-chai-16-full-63690-v2-profiler to be ready
Inference service junhua024-chai-16-full-63690-v2-profiler ready after 344.3707263469696s
Pipeline stage MKMLProfilerDeployer completed in 345.35s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/junhua024-chai-16-fub86a7ab4075cd01d7bb7acd529698808-deplopkpl6:/code/chaiverse_profiler_1752986369 --namespace tenant-chaiml-guanaco
kubectl exec -it junhua024-chai-16-fub86a7ab4075cd01d7bb7acd529698808-deplopkpl6 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1752986369 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1752986369/summary.json'
kubectl exec -it junhua024-chai-16-fub86a7ab4075cd01d7bb7acd529698808-deplopkpl6 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1752986369/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1099.31s
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Running pipeline stage MKMLProfilerDeleter
Checking if service junhua024-chai-16-full-63690-v2-profiler is running
Tearing down inference service junhua024-chai-16-full-63690-v2-profiler
Service junhua024-chai-16-full-63690-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 5.05s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
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clean up pipeline due to error=DeploymentChecksError('None: None')
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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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
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junhua024-chai-16-full-_63690_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_63690_v2 status is now torndown due to DeploymentManager action