junhua024-chai-06-full-_71610

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_71610_v6
model_name: junhua024-chai-06-full-_71610_v6
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T18:40:35+00:00
num_battles: 8916
num_wins: 4362
celo_rating: 1274.44
family_friendly_score: 0.5571999999999999
family_friendly_standard_error: 0.007024644617345421
submission_type: basic
model_repo: junhua024/chai_06_full_02102_1619_2024
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': 0.5922881463960363, 'latency_mean': 1.6881869947910308, 'latency_p50': 1.683369755744934, 'latency_p90': 1.8626991033554077}, {'batch_size': 3, 'throughput': 1.0746345058618088, 'latency_mean': 2.7854978704452513, 'latency_p50': 2.788914680480957, 'latency_p90': 3.10854594707489}, {'batch_size': 5, 'throughput': 1.2826685459548763, 'latency_mean': 3.879968150854111, 'latency_p50': 3.876850724220276, 'latency_p90': 4.384610342979431}, {'batch_size': 6, 'throughput': 1.346164027691713, 'latency_mean': 4.431477454900741, 'latency_p50': 4.443926930427551, 'latency_p90': 4.977252411842346}, {'batch_size': 8, 'throughput': 1.413409171853175, 'latency_mean': 5.615475085973739, 'latency_p50': 5.671075463294983, 'latency_p90': 6.308000206947327}, {'batch_size': 10, 'throughput': 1.4578553166195314, 'latency_mean': 6.806998044252396, 'latency_p50': 6.773515105247498, 'latency_p90': 7.725586438179016}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_71610_v6
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_1619_2024
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-17
win_ratio: 0.4892328398384926
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-06-full-71610-v6-mkmlizer
Waiting for job on junhua024-chai-06-full-71610-v6-mkmlizer to finish
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junhua024-chai-06-full-71610-v6-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-71610-v6-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-71610-v6-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v6-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-71610-v6-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-71610-v6-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-71610-v6-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-71610-v6-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-71610-v6-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-71610-v6-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v6-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-71610-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-71610-v6-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-71610-v6-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-71610-v6-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`
Retrying (%r) after connection broken by '%r': %s
junhua024-chai-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-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-06-full-71610-v6-mkmlizer: Downloaded to shared memory in 74.107s
junhua024-chai-06-full-71610-v6-mkmlizer: Checking if junhua024/chai_06_full_02102_1619_2024 already exists in ChaiML
junhua024-chai-06-full-71610-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpq3ma34he, device:0
junhua024-chai-06-full-71610-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Retrying (%r) after connection broken by '%r': %s
junhua024-chai-06-full-71610-v6-mkmlizer: quantized model in 31.239s
junhua024-chai-06-full-71610-v6-mkmlizer: Processed model junhua024/chai_06_full_02102_1619_2024 in 105.476s
junhua024-chai-06-full-71610-v6-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-71610-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-71610-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v6/nvidia
junhua024-chai-06-full-71610-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v6/nvidia/special_tokens_map.json
junhua024-chai-06-full-71610-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v6/nvidia/config.json
junhua024-chai-06-full-71610-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v6/nvidia/tokenizer_config.json
junhua024-chai-06-full-71610-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v6/nvidia/tokenizer.json
junhua024-chai-06-full-71610-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v6/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-71610-v6-mkmlizer: 
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Job junhua024-chai-06-full-71610-v6-mkmlizer completed after 128.65s with status: succeeded
Stopping job with name junhua024-chai-06-full-71610-v6-mkmlizer
Pipeline stage MKMLizer completed in 129.21s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-71610-v6
Waiting for inference service junhua024-chai-06-full-71610-v6 to be ready
Failed to get response for submission junhua024-chai-06-full-_59231_v1: HTTPConnectionPool(host='junhua024-chai-06-full-59231-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-06-full-_59231_v3: HTTPConnectionPool(host='junhua024-chai-06-full-59231-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Retrying (%r) after connection broken by '%r': %s
Inference service junhua024-chai-06-full-71610-v6 ready after 301.68940591812134s
Pipeline stage MKMLDeployer completed in 302.49s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 7.4794111251831055s
Received healthy response to inference request in 6.824028730392456s
Received healthy response to inference request in 1.719893217086792s
Received healthy response to inference request in 6.556595325469971s
Received healthy response to inference request in 8.050240516662598s
5 requests
0 failed requests
5th percentile: 2.687233638763428
10th percentile: 3.654574060440064
20th percentile: 5.589254903793336
30th percentile: 6.610082006454467
40th percentile: 6.717055368423462
50th percentile: 6.824028730392456
60th percentile: 7.086181688308716
70th percentile: 7.348334646224975
80th percentile: 7.593577003479004
90th percentile: 7.821908760070801
95th percentile: 7.936074638366699
99th percentile: 8.027407341003418
mean time: 6.126033782958984
%s, retrying in %s seconds...
Received healthy response to inference request in 1.7841267585754395s
Received healthy response to inference request in 6.552173614501953s
Received healthy response to inference request in 2.442413330078125s
read tcp 127.0.0.1:39138->127.0.0.1:8080: read: connection reset by peer
Received unhealthy response to inference request!
read tcp 127.0.0.1:41342->127.0.0.1:8080: read: connection reset by peer
Received unhealthy response to inference request!
5 requests
2 failed requests
5th percentile: 0.5386550903320313
10th percentile: 0.7168699264526368
20th percentile: 1.0732995986938476
30th percentile: 1.3580368995666503
40th percentile: 1.5710818290710449
50th percentile: 1.7841267585754395
60th percentile: 2.0474413871765136
70th percentile: 2.3107560157775877
80th percentile: 3.2643653869628912
90th percentile: 4.908269500732422
95th percentile: 5.730221557617186
99th percentile: 6.387783203125
mean time: 2.4781336784362793
%s, retrying in %s seconds...
Failed to get response for submission junhua024-chai-06-full-_59231_v3: HTTPConnectionPool(host='junhua024-chai-06-full-59231-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Received healthy response to inference request in 19.810545921325684s
Received healthy response to inference request in 1.6552908420562744s
Received healthy response to inference request in 1.6555571556091309s
Received healthy response to inference request in 1.6683220863342285s
Received healthy response to inference request in 1.7813444137573242s
5 requests
0 failed requests
5th percentile: 1.6553441047668458
10th percentile: 1.655397367477417
20th percentile: 1.6555038928985595
30th percentile: 1.6581101417541504
40th percentile: 1.6632161140441895
50th percentile: 1.6683220863342285
60th percentile: 1.7135310173034668
70th percentile: 1.758739948272705
80th percentile: 5.387184715270999
90th percentile: 12.59886531829834
95th percentile: 16.20470561981201
99th percentile: 19.08937786102295
mean time: 5.314212083816528
Pipeline stage StressChecker completed in 75.27s
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 1.00s
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 0.75s
Shutdown handler de-registered
junhua024-chai-06-full-_71610_v6 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 5335.98s
Shutdown handler de-registered
junhua024-chai-06-full-_71610_v6 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_71610_v6 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_71610_v6 status is now torndown due to DeploymentManager action