junhua024-chai-16-full-_63690

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_63690_v4
model_name: junhua024-chai-16-full-_63690_v4
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-20T04:24:12+00:00
num_battles: 6541
num_wins: 3214
celo_rating: 1281.95
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': 0.5980101607636569, 'latency_mean': 1.6720834863185883, 'latency_p50': 1.6674813032150269, 'latency_p90': 1.8576256036758423}, {'batch_size': 3, 'throughput': 1.0744210561447725, 'latency_mean': 2.7826073932647706, 'latency_p50': 2.778416156768799, 'latency_p90': 3.0641453742980955}, {'batch_size': 5, 'throughput': 1.2877900015929797, 'latency_mean': 3.8680163645744323, 'latency_p50': 3.893875241279602, 'latency_p90': 4.366046404838562}, {'batch_size': 6, 'throughput': 1.3572276578457285, 'latency_mean': 4.396614252328873, 'latency_p50': 4.386551856994629, 'latency_p90': 4.935574793815613}, {'batch_size': 8, 'throughput': 1.4097790335396996, 'latency_mean': 5.619006249904633, 'latency_p50': 5.600642800331116, 'latency_p90': 6.270276832580566}, {'batch_size': 10, 'throughput': 1.444782506548896, 'latency_mean': 6.867954277992249, 'latency_p50': 6.875616669654846, 'latency_p90': 7.7590718269348145}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_63690_v4
is_internal_developer: False
language_model: junhua024/chai_16_full_106_qkv_o_ffn_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-07-19
win_ratio: 0.4913621770371503
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-v4-mkmlizer
Waiting for job on junhua024-chai-16-full-63690-v4-mkmlizer to finish
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)
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junhua024-chai-16-full-63690-v4-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-63690-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63690-v4-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-63690-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-63690-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-63690-v4-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-63690-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63690-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-63690-v4-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-63690-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63690-v4-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-63690-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-63690-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-63690-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63690-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-63690-v4-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-v4-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-v4-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-v4-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 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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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 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-v4-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-v4-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-v4-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-v4-mkmlizer: Downloaded to shared memory in 96.432s
junhua024-chai-16-full-63690-v4-mkmlizer: Checking if junhua024/chai_16_full_106_qkv_o_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-63690-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp58wcpoaz, device:0
junhua024-chai-16-full-63690-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-63690-v4-mkmlizer: quantized model in 31.073s
junhua024-chai-16-full-63690-v4-mkmlizer: Processed model junhua024/chai_16_full_106_qkv_o_ffn_1925 in 127.590s
junhua024-chai-16-full-63690-v4-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-63690-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-63690-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v4/nvidia
junhua024-chai-16-full-63690-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v4/nvidia/config.json
junhua024-chai-16-full-63690-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v4/nvidia/special_tokens_map.json
junhua024-chai-16-full-63690-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v4/nvidia/tokenizer_config.json
junhua024-chai-16-full-63690-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v4/nvidia/flywheel_model.0.safetensors
junhua024-chai-16-full-63690-v4-mkmlizer: 
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Job junhua024-chai-16-full-63690-v4-mkmlizer completed after 149.56s with status: succeeded
Stopping job with name junhua024-chai-16-full-63690-v4-mkmlizer
Pipeline stage MKMLizer completed in 150.09s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-16-full-63690-v4
Waiting for inference service junhua024-chai-16-full-63690-v4 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-63690-v4 ready after 331.2271966934204s
Pipeline stage MKMLDeployer completed in 331.87s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5865073204040527s
Received healthy response to inference request in 2.1889493465423584s
Received healthy response to inference request in 1.6301345825195312s
Received healthy response to inference request in 2.0265822410583496s
Received healthy response to inference request in 2.170088768005371s
5 requests
0 failed requests
5th percentile: 1.709424114227295
10th percentile: 1.7887136459350585
20th percentile: 1.9472927093505858
30th percentile: 2.055283546447754
40th percentile: 2.1126861572265625
50th percentile: 2.170088768005371
60th percentile: 2.177632999420166
70th percentile: 2.185177230834961
80th percentile: 2.2684609413146974
90th percentile: 2.427484130859375
95th percentile: 2.5069957256317137
99th percentile: 2.570605001449585
mean time: 2.1204524517059324
Pipeline stage StressChecker completed in 12.36s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.76s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.68s
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junhua024-chai-16-full-_63690_v4 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
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-16-full-63690-v4-profiler
Waiting for inference service junhua024-chai-16-full-63690-v4-profiler to be ready
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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
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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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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-_63690_v4 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_63690_v4 status is now torndown due to DeploymentManager action