junhua024-chai-02-full_54657

developer_uid: junhua024
submission_id: junhua024-chai-02-full_54657_v39
model_name: junhua024-chai-02-full_54657_v39
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-25T10:31:34+00:00
num_battles: 8771
num_wins: 4564
celo_rating: 1299.67
family_friendly_score: 0.4196
family_friendly_standard_error: 0.006979052084631551
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': 0.5290212199746808, 'latency_mean': 1.8901537072658539, 'latency_p50': 1.886796236038208, 'latency_p90': 2.0583175897598265}, {'batch_size': 2, 'throughput': 0.7026020818914217, 'latency_mean': 2.8418917512893676, 'latency_p50': 2.849777102470398, 'latency_p90': 3.085273766517639}, {'batch_size': 3, 'throughput': 0.7992072476837476, 'latency_mean': 3.7419237864017485, 'latency_p50': 3.751668691635132, 'latency_p90': 4.152077746391297}, {'batch_size': 4, 'throughput': 0.8663438376919144, 'latency_mean': 4.601583814620971, 'latency_p50': 4.59525740146637, 'latency_p90': 5.128629422187805}, {'batch_size': 5, 'throughput': 0.8916194303116143, 'latency_mean': 5.585904415845871, 'latency_p50': 5.579576730728149, 'latency_p90': 6.241802477836609}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full_54657_v39
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: 0.5203511572226656
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 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 32 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-v39-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v39-mkmlizer to finish
junhua024-chai-02-full-54657-v39-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-54657-v39-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-54657-v39-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-54657-v39-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v39-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-54657-v39-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-54657-v39-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-54657-v39-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-54657-v39-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v39-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-54657-v39-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-54657-v39-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v39-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-54657-v39-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-54657-v39-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-54657-v39-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v39-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v39-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-v39-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-v39-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-v39-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-v39-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-v39-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-v39-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-v39-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-v39-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-v39-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-v39-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-v39-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-v39-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-v39-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-v39-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-v39-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-v39-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-v39-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-v39-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-v39-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-v39-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-v39-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-v39-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-v39-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v39-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-54657-v39-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v39/nvidia
junhua024-chai-02-full-54657-v39-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v39/nvidia/config.json
junhua024-chai-02-full-54657-v39-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v39/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v39-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v39/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v39-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v39/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v39-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v39/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-54657-v39-mkmlizer completed after 463.07s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v39-mkmlizer
Pipeline stage MKMLizer completed in 463.63s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.30s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-54657-v39
Waiting for inference service junhua024-chai-02-full-54657-v39 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', '')
Inference service junhua024-chai-02-full-54657-v39 ready after 191.52396178245544s
Pipeline stage MKMLDeployer completed in 192.02s
run pipeline stage %s
Running pipeline stage StressChecker
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', '')
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 2.6217386722564697s
Received healthy response to inference request in 1.3369228839874268s
Received healthy response to inference request in 1.4997849464416504s
Received healthy response to inference request in 1.5995204448699951s
5 requests
1 failed requests
5th percentile: 1.3694952964782714
10th percentile: 1.4020677089691163
20th percentile: 1.4672125339508058
30th percentile: 1.5197320461273194
40th percentile: 1.5596262454986571
50th percentile: 1.5995204448699951
60th percentile: 2.008407735824585
70th percentile: 2.4172950267791746
80th percentile: 6.1393485546112085
90th percentile: 13.17456831932068
95th percentile: 16.69217820167541
99th percentile: 19.506266107559203
mean time: 5.453551006317139
%s, retrying in %s seconds...
Received healthy response to inference request in 2.5570380687713623s
Received healthy response to inference request in 2.111769676208496s
Received healthy response to inference request in 1.4988656044006348s
Received healthy response to inference request in 1.4567410945892334s
Received healthy response to inference request in 1.298729658126831s
5 requests
0 failed requests
5th percentile: 1.3303319454193114
10th percentile: 1.361934232711792
20th percentile: 1.425138807296753
30th percentile: 1.4651659965515136
40th percentile: 1.4820158004760742
50th percentile: 1.4988656044006348
60th percentile: 1.7440272331237792
70th percentile: 1.9891888618469238
80th percentile: 2.2008233547210696
90th percentile: 2.3789307117462157
95th percentile: 2.467984390258789
99th percentile: 2.5392273330688475
mean time: 1.7846288204193115
Pipeline stage StressChecker completed in 40.37s
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 0.76s
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 1.11s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v39 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 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-02-full-54657-v39-profiler
Waiting for inference service junhua024-chai-02-full-54657-v39-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 4221.53s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v39 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v39 status is now torndown due to DeploymentManager action