junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v86
model_name: junhua024-chai-1-full-066126_v86
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-15T19:11:37+00:00
num_battles: 7091
num_wins: 3434
celo_rating: 1279.43
family_friendly_score: 0.5552
family_friendly_standard_error: 0.007027844050631744
submission_type: basic
model_repo: junhua024/chai-1-full-066126
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': 0.5998713014628397, 'latency_mean': 1.666911392211914, 'latency_p50': 1.6594972610473633, 'latency_p90': 1.8311872243881226}, {'batch_size': 3, 'throughput': 1.0889482726256132, 'latency_mean': 2.7471376836299894, 'latency_p50': 2.736127734184265, 'latency_p90': 3.0653014183044434}, {'batch_size': 5, 'throughput': 1.301513471951766, 'latency_mean': 3.8273038601875307, 'latency_p50': 3.838239550590515, 'latency_p90': 4.296764397621155}, {'batch_size': 6, 'throughput': 1.3676397897238302, 'latency_mean': 4.366072456836701, 'latency_p50': 4.39739990234375, 'latency_p90': 4.90758638381958}, {'batch_size': 8, 'throughput': 1.4197126440442704, 'latency_mean': 5.589330224990845, 'latency_p50': 5.568189978599548, 'latency_p90': 6.2533073902130125}, {'batch_size': 10, 'throughput': 1.4504151887756984, 'latency_mean': 6.834338763952255, 'latency_p50': 6.838771343231201, 'latency_p90': 7.753519773483276}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v86
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-15
win_ratio: 0.48427584261740236
generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.3, '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-1-full-066126-v86-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v86-mkmlizer to finish
junhua024-chai-1-full-066126-v86-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v86-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v86-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v86-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v86-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v86-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v86-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v86-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v86-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v86-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v86-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v86-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v86-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v86-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v86-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v86-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v86-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-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-1-full-066126-v86-mkmlizer: Downloaded to shared memory in 76.224s
junhua024-chai-1-full-066126-v86-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v86-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpfbyombwo, device:0
junhua024-chai-1-full-066126-v86-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v86-mkmlizer: quantized model in 31.474s
junhua024-chai-1-full-066126-v86-mkmlizer: Processed model junhua024/chai-1-full-066126 in 107.779s
junhua024-chai-1-full-066126-v86-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v86-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v86-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v86/nvidia
junhua024-chai-1-full-066126-v86-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v86/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v86-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v86/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v86-mkmlizer: 
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Job junhua024-chai-1-full-066126-v86-mkmlizer completed after 138.37s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v86-mkmlizer
Pipeline stage MKMLizer completed in 138.84s
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-1-full-066126-v86
Waiting for inference service junhua024-chai-1-full-066126-v86 to be ready
Inference service junhua024-chai-1-full-066126-v86 ready after 251.36634826660156s
Pipeline stage MKMLDeployer completed in 251.82s
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 2.420795440673828s
Received healthy response to inference request in 2.2733335494995117s
Received healthy response to inference request in 1.7165822982788086s
Received healthy response to inference request in 1.9044690132141113s
5 requests
1 failed requests
5th percentile: 1.754159641265869
10th percentile: 1.7917369842529296
20th percentile: 1.8668916702270508
30th percentile: 1.9782419204711914
40th percentile: 2.1257877349853516
50th percentile: 2.2733335494995117
60th percentile: 2.3323183059692383
70th percentile: 2.391303062438965
80th percentile: 5.970579576492312
90th percentile: 13.070147848129274
95th percentile: 16.61993198394775
99th percentile: 19.459759292602538
mean time: 5.696979284286499
%s, retrying in %s seconds...
Received healthy response to inference request in 1.7330121994018555s
Received healthy response to inference request in 1.6598918437957764s
Received healthy response to inference request in 1.9766900539398193s
Received healthy response to inference request in 1.6068124771118164s
Received healthy response to inference request in 2.1110434532165527s
5 requests
0 failed requests
5th percentile: 1.6174283504486084
10th percentile: 1.6280442237854005
20th percentile: 1.6492759704589843
30th percentile: 1.6745159149169921
40th percentile: 1.703764057159424
50th percentile: 1.7330121994018555
60th percentile: 1.830483341217041
70th percentile: 1.9279544830322266
80th percentile: 2.003560733795166
90th percentile: 2.0573020935058595
95th percentile: 2.084172773361206
99th percentile: 2.1056693172454835
mean time: 1.817490005493164
Pipeline stage StressChecker completed in 41.18s
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 0.99s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v86 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 0.18s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v86-profiler
Waiting for inference service junhua024-chai-1-full-066126-v86-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 8581.09s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v86 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v86 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v86 status is now torndown due to DeploymentManager action