junhua024-chai-02-full_54657

developer_uid: junhua024
submission_id: junhua024-chai-02-full_54657_v41
model_name: junhua024-chai-02-full_54657_v41
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-25T10:41:12+00:00
num_battles: 6312
num_wins: 3170
celo_rating: 1288.63
family_friendly_score: 0.42000000000000004
family_friendly_standard_error: 0.006979971346646059
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': 0.5332499736973236, 'latency_mean': 1.8751668190956117, 'latency_p50': 1.8620269298553467, 'latency_p90': 2.0447766065597532}, {'batch_size': 2, 'throughput': 0.7177540273155381, 'latency_mean': 2.7768986010551453, 'latency_p50': 2.7823649644851685, 'latency_p90': 3.0207379579544065}, {'batch_size': 3, 'throughput': 0.8030478492463717, 'latency_mean': 3.725460282564163, 'latency_p50': 3.7255539894104004, 'latency_p90': 4.110117340087891}, {'batch_size': 4, 'throughput': 0.8704648789075355, 'latency_mean': 4.582616596221924, 'latency_p50': 4.553547978401184, 'latency_p90': 5.1479943752288815}, {'batch_size': 5, 'throughput': 0.8913027611436903, 'latency_mean': 5.583552615642548, 'latency_p50': 5.624981999397278, 'latency_p90': 6.247712254524231}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full_54657_v41
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 0.8
us_pacific_date: 2025-07-25
win_ratio: 0.5022179974651457
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 40, '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 a deeply 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-v41-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v41-mkmlizer to finish
junhua024-chai-02-full-54657-v41-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-54657-v41-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-54657-v41-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-54657-v41-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v41-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-54657-v41-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-54657-v41-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-54657-v41-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-54657-v41-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v41-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-54657-v41-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-54657-v41-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v41-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-54657-v41-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-54657-v41-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-54657-v41-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v41-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-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-v41-mkmlizer: Downloaded to shared memory in 93.663s
junhua024-chai-02-full-54657-v41-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-54657-v41-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpz3yknq1j, device:0
junhua024-chai-02-full-54657-v41-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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', '')
junhua024-chai-02-full-54657-v41-mkmlizer: quantized model in 157.471s
junhua024-chai-02-full-54657-v41-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 251.207s
junhua024-chai-02-full-54657-v41-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v41-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-54657-v41-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v41/nvidia
junhua024-chai-02-full-54657-v41-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v41/nvidia/config.json
junhua024-chai-02-full-54657-v41-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v41/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v41-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v41/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v41-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v41/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v41-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v41/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-54657-v41-mkmlizer: 
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Job junhua024-chai-02-full-54657-v41-mkmlizer completed after 419.35s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v41-mkmlizer
Pipeline stage MKMLizer completed in 420.03s
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-v41
Waiting for inference service junhua024-chai-02-full-54657-v41 to be ready
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', '')
Failed to get response for submission junhua024-chai-02-full_54657_v39: HTTPConnectionPool(host='junhua024-chai-02-full-54657-v39-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-02-full_54657_v39: HTTPConnectionPool(host='junhua024-chai-02-full-54657-v39-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-02-full-54657-v41 ready after 191.08795189857483s
Pipeline stage MKMLDeployer completed in 191.57s
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 2.557532787322998s
Received healthy response to inference request in 1.2929511070251465s
Received healthy response to inference request in 1.3864097595214844s
Received healthy response to inference request in 2.3552651405334473s
5 requests
1 failed requests
5th percentile: 1.311642837524414
10th percentile: 1.3303345680236816
20th percentile: 1.3677180290222168
30th percentile: 1.580180835723877
40th percentile: 1.9677229881286622
50th percentile: 2.3552651405334473
60th percentile: 2.4361721992492678
70th percentile: 2.517079257965088
80th percentile: 6.073133373260501
90th percentile: 13.104334545135501
95th percentile: 16.619935131072996
99th percentile: 19.432415599823
mean time: 5.545538902282715
%s, retrying in %s seconds...
Received healthy response to inference request in 2.4042885303497314s
Received healthy response to inference request in 2.0188305377960205s
Received healthy response to inference request in 2.278514862060547s
Received healthy response to inference request in 2.338939905166626s
Received healthy response to inference request in 3.6997275352478027s
5 requests
0 failed requests
5th percentile: 2.070767402648926
10th percentile: 2.122704267501831
20th percentile: 2.2265779972076416
30th percentile: 2.2905998706817625
40th percentile: 2.3147698879241942
50th percentile: 2.338939905166626
60th percentile: 2.3650793552398683
70th percentile: 2.3912188053131103
80th percentile: 2.6633763313293457
90th percentile: 3.181551933288574
95th percentile: 3.4406397342681885
99th percentile: 3.64790997505188
mean time: 2.5480602741241456
Pipeline stage StressChecker completed in 43.48s
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 0.79s
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 0.76s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v41 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-02-full-54657-v41-profiler
Waiting for inference service junhua024-chai-02-full-54657-v41-profiler to be ready
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 5208.25s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v41 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v41 status is now torndown due to DeploymentManager action