junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v73

model_name: junhua024-chai-1-full-066126_v73

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-15T15:45:51+00:00

num_battles: 6166

num_wins: 3148

celo_rating: 1277.11

family_friendly_score: 0.5509999999999999

family_friendly_standard_error: 0.007034187941759872

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': 0.5981508809850424, 'latency_mean': 1.6717051553726197, 'latency_p50': 1.6649829149246216, 'latency_p90': 1.8547357320785522}, {'batch_size': 3, 'throughput': 1.0782863485966458, 'latency_mean': 2.771924014091492, 'latency_p50': 2.7718820571899414, 'latency_p90': 3.090709185600281}, {'batch_size': 5, 'throughput': 1.2950725489884585, 'latency_mean': 3.841991159915924, 'latency_p50': 3.8217092752456665, 'latency_p90': 4.255699610710144}, {'batch_size': 6, 'throughput': 1.3466787249356311, 'latency_mean': 4.429325406551361, 'latency_p50': 4.404445171356201, 'latency_p90': 4.940701484680176}, {'batch_size': 8, 'throughput': 1.4026726645873133, 'latency_mean': 5.6644026625156405, 'latency_p50': 5.669606924057007, 'latency_p90': 6.3409018278121945}, {'batch_size': 10, 'throughput': 1.4496827664539822, 'latency_mean': 6.8262289309501645, 'latency_p50': 6.81041419506073, 'latency_p90': 7.779061961174011}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v73

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.28

us_pacific_date: 2025-07-15

win_ratio: 0.5105416801816413

generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.0, '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': '{memory} What nuanced feelings lie behind these words?', '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-v73-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v73-mkmlizer to finish
junhua024-chai-1-full-066126-v73-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v73-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v73-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v73-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v73-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v73-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v73-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v73-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v73-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v73-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v73-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v73-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v73-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v73-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v73-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v73-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v73-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v73-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-v73-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-v73-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-v73-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-v73-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-v73-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-v73-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-v73-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-v73-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-v73-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-v73-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-v73-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-v73-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-v73-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-v73-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-v73-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-v73-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-v73-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-v73-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-v73-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-v73-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-v73-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-v73-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-v73-mkmlizer: Downloaded to shared memory in 74.520s
junhua024-chai-1-full-066126-v73-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v73-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpbzi44i3f, device:0
junhua024-chai-1-full-066126-v73-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v73-mkmlizer: quantized model in 32.348s
junhua024-chai-1-full-066126-v73-mkmlizer: Processed model junhua024/chai-1-full-066126 in 106.951s
junhua024-chai-1-full-066126-v73-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v73-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v73-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v73/nvidia
junhua024-chai-1-full-066126-v73-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v73/nvidia/config.json
junhua024-chai-1-full-066126-v73-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v73/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v73-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v73/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v73-mkmlizer: 
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Job junhua024-chai-1-full-066126-v73-mkmlizer completed after 127.32s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v73-mkmlizer
Pipeline stage MKMLizer completed in 127.82s
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-v73
Waiting for inference service junhua024-chai-1-full-066126-v73 to be ready
Inference service junhua024-chai-1-full-066126-v73 ready after 250.95282435417175s
Pipeline stage MKMLDeployer completed in 251.42s
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 2.879915475845337s
Received healthy response to inference request in 1.5309722423553467s
Received healthy response to inference request in 2.0033676624298096s
Received healthy response to inference request in 1.9208135604858398s
5 requests
1 failed requests
5th percentile: 1.6089405059814452
10th percentile: 1.686908769607544
20th percentile: 1.8428452968597413
30th percentile: 1.9373243808746339
40th percentile: 1.9703460216522217
50th percentile: 2.0033676624298096
60th percentile: 2.3539867877960203
70th percentile: 2.704605913162231
80th percentile: 6.339313507080082
90th percentile: 13.258109569549562
95th percentile: 16.717507600784298
99th percentile: 19.485026025772093
mean time: 5.702394914627075
%s, retrying in %s seconds...
Received healthy response to inference request in 1.7853138446807861s
Received healthy response to inference request in 1.6849310398101807s
Received healthy response to inference request in 1.8932197093963623s
Received healthy response to inference request in 1.8827061653137207s
Received healthy response to inference request in 1.7751657962799072s
5 requests
0 failed requests
5th percentile: 1.702977991104126
10th percentile: 1.7210249423980712
20th percentile: 1.7571188449859618
30th percentile: 1.777195405960083
40th percentile: 1.7812546253204347
50th percentile: 1.7853138446807861
60th percentile: 1.82427077293396
70th percentile: 1.8632277011871339
80th percentile: 1.8848088741302491
90th percentile: 1.8890142917633057
95th percentile: 1.891117000579834
99th percentile: 1.8927991676330567
mean time: 1.8042673110961913
Pipeline stage StressChecker completed in 40.52s
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 0.73s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v73 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 4762.14s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v73 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v73 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v73 status is now torndown due to DeploymentManager action