junhua024-chai-02-full_54657

developer_uid: junhua024
submission_id: junhua024-chai-02-full_54657_v19
model_name: junhua024-chai-02-full_54657_v19
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-24T11:40:01+00:00
num_battles: 5823
num_wins: 2951
celo_rating: 1291.11
family_friendly_score: 0.4102
family_friendly_standard_error: 0.006956090281185258
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: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6751023508502767, 'latency_mean': 1.4811531364917756, 'latency_p50': 1.482778549194336, 'latency_p90': 1.6336477518081665}, {'batch_size': 3, 'throughput': 1.1510413135743502, 'latency_mean': 2.595793375968933, 'latency_p50': 2.601994037628174, 'latency_p90': 2.860707402229309}, {'batch_size': 5, 'throughput': 1.3321174212349722, 'latency_mean': 3.7369083642959593, 'latency_p50': 3.765394449234009, 'latency_p90': 4.174191641807556}, {'batch_size': 6, 'throughput': 1.3882521516952797, 'latency_mean': 4.301426447629929, 'latency_p50': 4.307683110237122, 'latency_p90': 4.754200553894043}, {'batch_size': 8, 'throughput': 1.4425714770432894, 'latency_mean': 5.511332436800003, 'latency_p50': 5.51410973072052, 'latency_p90': 6.259213972091675}, {'batch_size': 10, 'throughput': 1.4856773900689573, 'latency_mean': 6.687655376195908, 'latency_p50': 6.747377991676331, 'latency_p90': 7.541230010986328}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full_54657_v19
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 1.33
us_pacific_date: 2025-07-24
win_ratio: 0.5067834449596428
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, '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': "{memory} You are an empathetic conversational AI. You understand the user's feelings and respond with warmth, compassion, and sincerity.", '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-v19-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v19-mkmlizer to finish
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junhua024-chai-02-full-54657-v19-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-54657-v19-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-54657-v19-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v19-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-54657-v19-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-54657-v19-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-54657-v19-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-54657-v19-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v19-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-54657-v19-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-54657-v19-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v19-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-54657-v19-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-54657-v19-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-54657-v19-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v19-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-mkmlizer: Downloaded to shared memory in 74.696s
junhua024-chai-02-full-54657-v19-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-54657-v19-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp2zuypfvd, device:0
junhua024-chai-02-full-54657-v19-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Retrying (%r) after connection broken by '%r': %s
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Retrying (%r) after connection broken by '%r': %s
junhua024-chai-02-full-54657-v19-mkmlizer: quantized model in 164.583s
junhua024-chai-02-full-54657-v19-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 239.431s
junhua024-chai-02-full-54657-v19-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v19-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-54657-v19-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v19/nvidia
junhua024-chai-02-full-54657-v19-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v19/nvidia/config.json
junhua024-chai-02-full-54657-v19-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v19/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v19-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v19/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v19-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v19/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v19-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v19/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-54657-v19-mkmlizer: 
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Job junhua024-chai-02-full-54657-v19-mkmlizer completed after 264.44s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v19-mkmlizer
Pipeline stage MKMLizer completed in 264.99s
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-02-full-54657-v19
Waiting for inference service junhua024-chai-02-full-54657-v19 to be ready
Failed to get response for submission blend_defol_2025-07-24: HTTPConnectionPool(host='guanaco-model-mesh.k2.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service junhua024-chai-02-full-54657-v19 ready after 180.60700297355652s
Pipeline stage MKMLDeployer completed in 181.05s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 3.71004581451416s
Received healthy response to inference request in 2.9522910118103027s
Received healthy response to inference request in 1.824723482131958s
Received healthy response to inference request in 1.5554282665252686s
5 requests
1 failed requests
5th percentile: 1.6092873096466065
10th percentile: 1.6631463527679444
20th percentile: 1.77086443901062
30th percentile: 2.0502369880676268
40th percentile: 2.5012639999389648
50th percentile: 2.9522910118103027
60th percentile: 3.2553929328918456
70th percentile: 3.5584948539733885
80th percentile: 7.003531122207645
90th percentile: 13.590501737594606
95th percentile: 16.883987045288084
99th percentile: 19.51877529144287
mean time: 6.043992185592652
%s, retrying in %s seconds...
Received healthy response to inference request in 1.9602086544036865s
Received healthy response to inference request in 1.6296920776367188s
Received healthy response to inference request in 1.697124719619751s
Received healthy response to inference request in 2.9458699226379395s
Received healthy response to inference request in 1.6954023838043213s
5 requests
0 failed requests
5th percentile: 1.6428341388702392
10th percentile: 1.6559762001037597
20th percentile: 1.6822603225708008
30th percentile: 1.6957468509674072
40th percentile: 1.6964357852935792
50th percentile: 1.697124719619751
60th percentile: 1.802358293533325
70th percentile: 1.9075918674468995
80th percentile: 2.1573409080505375
90th percentile: 2.5516054153442385
95th percentile: 2.7487376689910885
99th percentile: 2.9064434719085694
mean time: 1.9856595516204834
Pipeline stage StressChecker completed in 43.04s
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 0.71s
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 0.66s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v19 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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3195.30s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v19 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v19 status is now torndown due to DeploymentManager action