junhua024-chai-02-full_54657

developer_uid: junhua024
submission_id: junhua024-chai-02-full_54657_v35
model_name: junhua024-chai-02-full_54657_v35
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-25T07:08:33+00:00
num_battles: 6486
num_wins: 3301
celo_rating: 1293.49
family_friendly_score: 0.4122
family_friendly_standard_error: 0.006961194725045407
submission_type: basic
model_repo: junhua024/chai_02_full_02_019
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5211595502279702, 'latency_mean': 1.9186465442180634, 'latency_p50': 1.9209564924240112, 'latency_p90': 2.0694833278656004}, {'batch_size': 2, 'throughput': 0.6941942715538246, 'latency_mean': 2.87135892868042, 'latency_p50': 2.8808029890060425, 'latency_p90': 3.0989339351654053}, {'batch_size': 3, 'throughput': 0.779263360797623, 'latency_mean': 3.838417514562607, 'latency_p50': 3.839009404182434, 'latency_p90': 4.303544497489929}, {'batch_size': 4, 'throughput': 0.8374618593247055, 'latency_mean': 4.755421419143676, 'latency_p50': 4.7446699142456055, 'latency_p90': 5.367847275733948}, {'batch_size': 5, 'throughput': 0.859861597921968, 'latency_mean': 5.796787260770798, 'latency_p50': 5.85287082195282, 'latency_p90': 6.46864652633667}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full_54657_v35
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 0.77
us_pacific_date: 2025-07-25
win_ratio: 0.5089423373419674
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 50, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{memory} You are an empathetic conversational AI. You understand the user's feelings and respond with warmth, compassion, and sincerity. Each of your responses should be fewer than 64 tokens long.", '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-02-full-54657-v35-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v35-mkmlizer to finish
junhua024-chai-02-full-54657-v35-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-54657-v35-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-54657-v35-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-54657-v35-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v35-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-54657-v35-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-54657-v35-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-54657-v35-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-54657-v35-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v35-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-54657-v35-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-54657-v35-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v35-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-54657-v35-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-54657-v35-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-54657-v35-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v35-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-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-02-full-54657-v35-mkmlizer: Downloaded to shared memory in 77.296s
junhua024-chai-02-full-54657-v35-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-54657-v35-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp67jmhnmf, device:0
junhua024-chai-02-full-54657-v35-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission chaiml-grpo-nis-12bsftqw_4593_v1: HTTPConnectionPool(host='chaiml-grpo-nis-12bsftqw-4593-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-02-full-54657-v35-mkmlizer: quantized model in 162.341s
junhua024-chai-02-full-54657-v35-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 239.726s
junhua024-chai-02-full-54657-v35-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v35-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-54657-v35-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v35/nvidia
junhua024-chai-02-full-54657-v35-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v35/nvidia/config.json
junhua024-chai-02-full-54657-v35-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v35/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v35-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v35/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v35-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v35/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v35-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v35/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-54657-v35-mkmlizer: 
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Job junhua024-chai-02-full-54657-v35-mkmlizer completed after 296.84s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v35-mkmlizer
Pipeline stage MKMLizer completed in 297.34s
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-02-full-54657-v35
Waiting for inference service junhua024-chai-02-full-54657-v35 to be ready
Failed to get response for submission junhua024-chai-02-full_54657_v29: HTTPConnectionPool(host='junhua024-chai-02-full-54657-v29-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-grpo-nis-12bsftqw_4593_v1: HTTPConnectionPool(host='chaiml-grpo-nis-12bsftqw-4593-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-02-full-54657-v35 ready after 191.8975293636322s
Pipeline stage MKMLDeployer completed in 192.84s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.41033673286438s
Received healthy response to inference request in 1.9494047164916992s
Received healthy response to inference request in 1.4729335308074951s
Received healthy response to inference request in 1.1501944065093994s
Received healthy response to inference request in 2.832064628601074s
5 requests
0 failed requests
5th percentile: 1.2147422313690186
10th percentile: 1.2792900562286378
20th percentile: 1.408385705947876
30th percentile: 1.568227767944336
40th percentile: 1.7588162422180176
50th percentile: 1.9494047164916992
60th percentile: 2.302468681335449
70th percentile: 2.655532646179199
80th percentile: 2.9477190494537355
90th percentile: 3.1790278911590577
95th percentile: 3.2946823120117186
99th percentile: 3.3872058486938474
mean time: 2.1629868030548094
Pipeline stage StressChecker completed in 12.37s
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 0.73s
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 0.79s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v35 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5145.37s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v35 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v35 status is now torndown due to DeploymentManager action