junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v10
model_name: junhua024-chai-1-full-066126_v10
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-14T03:48:05+00:00
num_battles: 8392
num_wins: 4100
celo_rating: 1276.4
family_friendly_score: 0.5546
family_friendly_standard_error: 0.007028781402206217
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': 0.5964536342410868, 'latency_mean': 1.6764724600315093, 'latency_p50': 1.6987789869308472, 'latency_p90': 1.8358893632888793}, {'batch_size': 3, 'throughput': 1.0850118184960653, 'latency_mean': 2.753636306524277, 'latency_p50': 2.7347992658615112, 'latency_p90': 3.054119515419006}, {'batch_size': 5, 'throughput': 1.291171257616306, 'latency_mean': 3.859486436843872, 'latency_p50': 3.8896896839141846, 'latency_p90': 4.247007131576538}, {'batch_size': 6, 'throughput': 1.3581813941599066, 'latency_mean': 4.3929521071910855, 'latency_p50': 4.386989712715149, 'latency_p90': 4.948222541809082}, {'batch_size': 8, 'throughput': 1.4150402447462986, 'latency_mean': 5.623288376331329, 'latency_p50': 5.557932019233704, 'latency_p90': 6.4021178722381595}, {'batch_size': 10, 'throughput': 1.4485618276727834, 'latency_mean': 6.853591499328613, 'latency_p50': 6.874570369720459, 'latency_p90': 7.719586706161499}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v10
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-07-13
win_ratio: 0.4885605338417541
generation_params: {'temperature': 1.05, 'top_p': 1.0, 'min_p': 0.2, '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-v10-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v10-mkmlizer to finish
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junhua024-chai-1-full-066126-v10-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v10-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v10-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v10-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v10-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v10-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v10-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v10-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v10-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v10-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v10-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v10-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v10-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v10-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v10-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-mkmlizer: Downloaded to shared memory in 146.431s
junhua024-chai-1-full-066126-v10-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v10-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpeh8j2kkt, device:0
junhua024-chai-1-full-066126-v10-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v10-mkmlizer: quantized model in 38.437s
junhua024-chai-1-full-066126-v10-mkmlizer: Processed model junhua024/chai-1-full-066126 in 184.960s
junhua024-chai-1-full-066126-v10-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v10-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v10-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v10/nvidia
junhua024-chai-1-full-066126-v10-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v10/nvidia/config.json
junhua024-chai-1-full-066126-v10-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v10/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v10/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v10/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v10/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v10-mkmlizer: 
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Job junhua024-chai-1-full-066126-v10-mkmlizer completed after 211.12s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v10-mkmlizer
Pipeline stage MKMLizer completed in 211.66s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v10
Waiting for inference service junhua024-chai-1-full-066126-v10 to be ready
Retrying (%r) after connection broken by '%r': %s
Inference service junhua024-chai-1-full-066126-v10 ready after 211.36267232894897s
Pipeline stage MKMLDeployer completed in 211.96s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.601606845855713s
Received healthy response to inference request in 1.933664321899414s
Received healthy response to inference request in 1.5102429389953613s
Received healthy response to inference request in 1.5521233081817627s
Received healthy response to inference request in 1.7151365280151367s
5 requests
0 failed requests
5th percentile: 1.5186190128326416
10th percentile: 1.5269950866699218
20th percentile: 1.5437472343444825
30th percentile: 1.5847259521484376
40th percentile: 1.6499312400817872
50th percentile: 1.7151365280151367
60th percentile: 1.8025476455688476
70th percentile: 1.8899587631225585
80th percentile: 2.067252826690674
90th percentile: 2.3344298362731934
95th percentile: 2.468018341064453
99th percentile: 2.574889144897461
mean time: 1.8625547885894775
Pipeline stage StressChecker completed in 10.86s
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 0.81s
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 0.80s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v10 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 0.13s
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-1-full-066126-v10-profiler
Waiting for inference service junhua024-chai-1-full-066126-v10-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 5375.59s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v10 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v10 status is now torndown due to DeploymentManager action