junhua024-chai-16-full-_74386

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_74386_v3
model_name: junhua024-chai-16-full-_74386_v3
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-19T14:15:41+00:00
num_battles: 7050
num_wins: 3614
celo_rating: 1281.62
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: junhua024/chai_16_full_102_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': 0.5870291308726119, 'latency_mean': 1.7033106863498688, 'latency_p50': 1.7073594331741333, 'latency_p90': 1.8804520606994628}, {'batch_size': 3, 'throughput': 1.0437090373350053, 'latency_mean': 2.8677157139778138, 'latency_p50': 2.8943897485733032, 'latency_p90': 3.1087735652923585}, {'batch_size': 5, 'throughput': 1.259899447786205, 'latency_mean': 3.9556171536445617, 'latency_p50': 3.9494439363479614, 'latency_p90': 4.417003178596496}, {'batch_size': 6, 'throughput': 1.3126576221201216, 'latency_mean': 4.530624111890793, 'latency_p50': 4.524323582649231, 'latency_p90': 5.100430989265441}, {'batch_size': 8, 'throughput': 1.3668611410389042, 'latency_mean': 5.80201243519783, 'latency_p50': 5.866143345832825, 'latency_p90': 6.452036809921265}, {'batch_size': 10, 'throughput': 1.400439156439135, 'latency_mean': 7.073447000980377, 'latency_p50': 7.087535500526428, 'latency_p90': 7.905570721626281}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_74386_v3
ineligible_reason: num_battles<10000
is_internal_developer: False
language_model: junhua024/chai_16_full_102_o_ffn_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.22
us_pacific_date: 2025-07-19
win_ratio: 0.5126241134751773
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-74386-v3-mkmlizer
Waiting for job on junhua024-chai-16-full-74386-v3-mkmlizer to finish
junhua024-chai-16-full-74386-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-16-full-74386-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-74386-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-74386-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-74386-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-74386-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-74386-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-74386-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-74386-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-74386-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-74386-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-74386-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-74386-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-74386-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-74386-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-74386-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-74386-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-74386-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-74386-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-74386-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-74386-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-74386-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-74386-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-74386-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-74386-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-74386-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-74386-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`
Failed to get response for submission junhua024-chai-16-full-_68541_v3: HTTPConnectionPool(host='junhua024-chai-16-full-68541-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-74386-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-74386-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-74386-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-74386-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-74386-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-74386-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-74386-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-74386-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-74386-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-74386-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-74386-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-74386-v3-mkmlizer: Downloaded to shared memory in 115.195s
junhua024-chai-16-full-74386-v3-mkmlizer: Checking if junhua024/chai_16_full_102_o_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-74386-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpczb9a03z, device:0
junhua024-chai-16-full-74386-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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-74386-v3-mkmlizer: quantized model in 32.581s
junhua024-chai-16-full-74386-v3-mkmlizer: Processed model junhua024/chai_16_full_102_o_ffn_1925 in 147.853s
junhua024-chai-16-full-74386-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-74386-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-74386-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-74386-v3/nvidia
junhua024-chai-16-full-74386-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-74386-v3/nvidia/config.json
junhua024-chai-16-full-74386-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-74386-v3/nvidia/special_tokens_map.json
junhua024-chai-16-full-74386-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-74386-v3/nvidia/tokenizer_config.json
junhua024-chai-16-full-74386-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-74386-v3/nvidia/tokenizer.json
junhua024-chai-16-full-74386-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-74386-v3/nvidia/flywheel_model.0.safetensors
junhua024-chai-16-full-74386-v3-mkmlizer: 
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Job junhua024-chai-16-full-74386-v3-mkmlizer completed after 172.18s with status: succeeded
Stopping job with name junhua024-chai-16-full-74386-v3-mkmlizer
Pipeline stage MKMLizer completed in 172.97s
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-74386-v3
Waiting for inference service junhua024-chai-16-full-74386-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)
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-74386-v3 ready after 331.440402507782s
Pipeline stage MKMLDeployer completed in 332.11s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.774113655090332s
Received healthy response to inference request in 2.001274585723877s
Received healthy response to inference request in 1.812652349472046s
Received healthy response to inference request in 17.263939380645752s
Received healthy response to inference request in 2.141510486602783s
5 requests
0 failed requests
5th percentile: 1.850376796722412
10th percentile: 1.8881012439727782
20th percentile: 1.9635501384735108
30th percentile: 2.0293217658996583
40th percentile: 2.0854161262512205
50th percentile: 2.141510486602783
60th percentile: 2.3945517539978027
70th percentile: 2.6475930213928223
80th percentile: 5.672078800201419
90th percentile: 11.468009090423585
95th percentile: 14.365974235534665
99th percentile: 16.684346351623535
mean time: 5.198698091506958
Pipeline stage StressChecker completed in 27.66s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.67s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.70s
Shutdown handler de-registered
junhua024-chai-16-full-_74386_v3 status is now deployed due to DeploymentManager action
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.14s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-16-full-74386-v3-profiler
Waiting for inference service junhua024-chai-16-full-74386-v3-profiler to be ready
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Running pipeline stage OfflineFamilyFriendlyScorer
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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Evaluating %s Family Friendly Score with %s threads
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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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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-_74386_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_74386_v3 status is now torndown due to DeploymentManager action